Google Professional Cloud Network Engineer Exam Dumps and Practice Test Questions Set 13 Q181-195

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Question 181

A global financial services company wants to connect its international offices to Google Cloud for real-time transaction processing. Requirements include high throughput for large datasets, low latency, dynamic route propagation, automatic failover, and centralized route management. Which solution is most appropriate?

A) Cloud VPN Classic
B) Cloud Interconnect Dedicated with Cloud Router
C) Cloud Interconnect Partner with Cloud Router
D) Manually configured static routes

Correct Answer: C) Cloud Interconnect Partner with Cloud Router

Explanation

Global financial organizations handle massive amounts of transactional data, including stock trades, banking operations, fraud detection analytics, and market feeds. Real-time processing is essential because even milliseconds of delay can result in financial loss, regulatory breaches, or operational inefficiencies. High throughput is critical to efficiently transfer these large datasets between international offices and Google Cloud for analytics, compliance reporting, and operational monitoring. Without sufficient throughput, transaction processing may lag, negatively affecting customer experience and operational reliability.

Low latency is equally crucial. Financial services applications, particularly those related to trading, fraud detection, or interbank transfers, demand sub-second response times. Delayed communication between offices and cloud infrastructure can compromise decision-making, introduce errors, and reduce competitiveness.

Dynamic route propagation reduces operational overhead by automatically updating routes whenever new offices or subnets are added, minimizing manual configuration and reducing the risk of routing errors. Automatic failover ensures that if a link or network device fails, connectivity remains uninterrupted. This is particularly important for financial systems that must operate continuously to meet stringent regulatory requirements and business continuity objectives. Centralized route management provides administrators with visibility into the network, enabling consistent policy enforcement, monitoring, and compliance reporting.

Cloud VPN Classic provides encrypted IPsec tunnels over the public internet, but throughput is variable and cannot be guaranteed. Latency can fluctuate due to internet conditions. Routing is static and must be manually updated when new offices are added. Failover requires redundant tunnels or manual intervention. Scaling VPNs across multiple international locations introduces significant operational complexity, making it unsuitable for high-performance financial operations.

Cloud Interconnect Dedicated with Cloud Router offers private high-bandwidth connectivity and low latency. Cloud Router provides dynamic route propagation. However, a a dedicated interconnect requires managing physical infrastructure at multiple international locations, increasing operational overhead and cost. Failover must be configured manually, and scaling globally adds complexity. While performance is excellent, the operational effort and costs make it less flexible than partner solutions.

Manually configured static routes are inefficient and error-prone. Each office must be individually configured, and any network change requires updates at all locations. Failover is not automated, and traffic cannot dynamically optimize for latency or throughput. Operational complexity and risk increase with network size, making static routes impractical for financial organizations with global offices.

Cloud Interconnect Partner with Cloud Router is the most suitable solution. It provides predictable high throughput, low latency, dynamic route propagation, automatic failover, and centralized management. Partner interconnect eliminates the need to manage physical infrastructure while maintaining reliable connectivity. Cloud Router propagates routes automatically, reducing administrative effort. Redundant connections ensure automatic failover, maintaining uninterrupted operations during link or device failures. Centralized monitoring and policy enforcement simplify operational oversight, regulatory compliance, and network management. This solution meets all requirements for connecting international financial offices to Google Cloud efficiently, securely, and reliably.

Question 182

A SaaS provider wants to deploy its application globally using a single public endpoint. Requirements include SSL termination at the edge, routing requests to the nearest healthy backend, and autoscaling to handle unpredictable traffic spikes. Which load balancer should be deployed?

A) Regional External HTTP(S) Load Balancer
B) Global External HTTP(S) Load Balancer
C) TCP Proxy Load Balancer
D) Internal HTTP(S) Load Balancer

Correct Answer: B) Global External HTTP(S) Load Balancer

Explanation

Global SaaS applications must deliver high availability, low latency, and elastic scalability. Using a single global IP simplifies DNS management and provides users with a consistent access point. SSL termination at the edge offloads encryption processing from backend servers, improving response times and reducing CPU load. Health-based routing ensures requests are directed to the nearest healthy backend, minimizing downtime and optimizing user experience. Autoscaling dynamically adjusts backend capacity to handle sudden spikes in traffic, ensuring consistent performance without manual intervention.

Regional External HTTP(S) Load Balancer distributes traffic within a single region and supports SSL termination and autoscaling. However, it cannot automatically route traffic to the nearest healthy backend in other regions. Multi-region failover must be manually configured, reducing reliability for globally distributed users. While regional load balancing is suitable for localized applications, it does not meet the requirements for globally distributed SaaS applications that need low-latency routing and high availability.

TCP Proxy Load Balancer operates at Layer 4 (TCP) and can route traffic globally to healthy backends. However, it lacks application-layer features such as SSL termination at the edge and HTTP(S)-specific routing. SaaS applications typically rely heavily on HTTP(S) traffic, and edge SSL termination reduces backend load, improves latency, and simplifies certificate management. TCP Proxy alone cannot satisfy global SaaS requirements.

Internal HTTP(S) Load Balancer is designed for private workloads within a VPC. It does not provide a public IP and is unsuitable for global users. SSL termination and autoscaling are limited to internal workloads, making it unsuitable for public-facing SaaS applications.

Global External HTTP(S) Load Balancer provides a single global IP and automatically routes traffic to the nearest healthy backend. SSL termination occurs at the edge, reducing backend CPU usage and improving latency. Autoscaling adjusts backend capacity across multiple regions to handle traffic surges. Multi-region failover ensures high availability by rerouting traffic if a backend fails. Centralized logging and monitoring simplify operational oversight, performance analysis, and troubleshooting. This solution satisfies all global SaaS delivery requirements: low latency, edge SSL termination, health-based routing, and autoscaling for variable traffic.

Considering global reach, low latency, edge SSL termination, health-based routing, and dynamic autoscaling, Global External HTTP(S) Load Balancer is the optimal solution for SaaS providers delivering applications worldwide.

Question 183

A healthcare organization wants its internal applications to access multiple Google Cloud managed services privately. Requirements include private IP connectivity, centralized access management, and support for multiple service producers. Which solution should be implemented?

A) VPC Peering with each service
B) Private Service Connect endpoints
C) Assign external IPs and use firewall rules
D) Individual VPN tunnels for each service

Correct Answer: B) Private Service Connect endpoints

Explanation

Healthcare organizations handle sensitive patient data and must maintain strict privacy while ensuring operational efficiency. Internal applications require private IP connectivity to Google Cloud managed services to avoid exposing data to the public internet. Private IP access ensures regulatory compliance with standards such as HIPAA and GDPR. Centralized access management allows consistent policy enforcement across teams, reducing the risk of misconfiguration or unauthorized access. Supporting multiple service producers simplifies network management, particularly for large healthcare organizations with multiple internal applications and teams.

VPC Peering with each service provides private connectivity,t, but does not scale well for multiple services. Each service requires a separate peering connection, and overlapping IP ranges are not supported. Centralized access control is limited because policies must be applied individually for each peering connection. Operational complexity grows significantly with the number of services, making VPC Peering impractical.

Assigning external IPs and using firewall rules exposes services to the public internet. While firewall rules can restrict access to authorized users, centralized access management is challenging. Supporting multiple service producers requires additional configuration, increasing administrative overhead. This approach does not fully meet healthcare privacy and compliance requirements.

Individual VPN tunnels for each service provide encrypted connectivity but are operationally intensive. Each tunnel must be configured, monitored, and maintained independently. Scaling to multiple services or teams is cumbersome. Centralized access management is difficult because each VPN operates independently, increasing operational complexity and administrative burden.

Private Service Connect endpoints provide private IP connectivity to multiple managed services without using public IPs. Multiple service producers can be accessed through a single framework, reducing administrative overhead. Centralized access management ensures consistent policy enforcement across teams. Multi-region support allows seamless scaling without redesigning the network. Integrated logging and monitoring enable auditing, operational oversight, and compliance verification. Private Service Connect is secure, scalable, and operationally efficient, meeting privacy, compliance, and operational requirements for healthcare organizations.

Considering private IP connectivity, centralized access control, multi-service support, and regulatory compliance, Private Service Connect is the recommended solution for healthcare organizations accessing multiple Google Cloud managed services securely.

Question 184

A global media company wants to connect its content production offices to Google Cloud. Requirements include predictable high throughput for large video files, low latency for real-time collaboration, dynamic route propagation, automatic failover, and centralized route management. Which solution should be implemented?

A) Cloud VPN Classic
B) Cloud Interconnect Dedicated with Cloud Router
C) Cloud Interconnect Partner with Cloud Router
D) Manually configured static routes

Correct Answer: C) Cloud Interconnect Partner with Cloud Router

Explanation

Global media companies face the challenge of efficiently transferring and collaborating on massive multimedia files across multiple geographic locations. Video content production often involves 4K or even 8K video footage, raw audio files, large animation assets, and high-resolution graphics. High throughput is necessary to ensure that these files can be moved quickly from local offices to centralized cloud storage and processing systems. Slow transfers not only delay production schedules but also increase operational costs due to idle teams and infrastructure underutilization. Low latency is equally important for real-time collaboration. Editors, animators, sound engineers, and producers require near-instantaneous access to shared resources. Latency affects the responsiveness of video editing tools, collaborative rendering, and live review sessions.

Dynamic route propagation simplifies network management. As new production offices, remote studios, or cloud resources are added, network routes are automatically updated. This reduces the likelihood of misconfigurations that could disrupt workflow or delay content delivery. Automatic failover ensures that if a network link or device fails, connectivity is maintained without interruption. In the media industry, downtime can result in missed deadlines, disrupted broadcast schedules, or delays in content delivery to streaming platforms. Centralized route management allows IT teams to monitor traffic patterns, enforce consistent security policies, and quickly troubleshoot issues across a globally distributed network.

Cloud VPN Classic provides encrypted connectivity over the public internet. While secure, VPNs cannot guarantee predictable high throughput or low latency, which are critical for large-scale media operations. Routing is primarily static and must be manually configured for each new office or resource, increasing operational overhead and the risk of errors. Failover must be manually configured or requires redundant tunnels, complicating network management. Scaling VPNs to accommodate multiple international offices becomes operationally intensive and less reliable.

Cloud Interconnect Dedicated with Cloud Router provides high-bandwidth, low-latency connectivity. Cloud Router allows dynamic route propagation, reducing administrative effort. However, managing physical infrastructure across multiple global locations increases complexity and operational costs. Automatic failover is possible but requires careful configuration. While it delivers excellent performance, the operational burden can be significant for a large-scale global media company.

Manually configured static routes are not suitable for large networks. Each office requires individual route setup, and any changes require updates across all sites. Failover is not automated, and traffic cannot dynamically optimize for latency or throughput. This approach is inefficient, error-prone, and does not scale effectively for international content production environments.

Cloud Interconnect Partner with Cloud Router is the most appropriate solution. It provides predictable high throughput for transferring large multimedia files, low latency for real-time collaboration, and dynamic route propagation to simplify network management. Redundant partner connections ensure automatic failover, maintaining uninterrupted operations. Centralized route management enables consistent policy enforcement, monitoring, and troubleshooting across all locations. By removing the need to manage physical infrastructure directly, the company can focus on content creation rather than network operations. Partner interconnect is cost-effective, scalable, and operationally efficient, meeting all requirements for a global media company handling large multimedia workloads and real-time collaborative editing.

Question 185

A SaaS company wants to deploy its global application using a single public endpoint. Requirements include SSL termination at the edge, routing requests to the nearest healthy backend, and autoscaling to handle unpredictable traffic spikes. Which load balancer should be deployed?

A) Regional External HTTP(S) Load Balancer
B) Global External HTTP(S) Load Balancer
C) TCP Proxy Load Balancer
D) Internal HTTP(S) Load Balancer

Correct Answer: B) Global External HTTP(S) Load Balancer

Explanation

SaaS providers delivering applications globally need solutions that ensure high availability, low latency, and elastic scalability. Using a single public IP simplifies DNS management and provides a consistent entry point for users. SSL termination at the edge offloads encryption processing from backend servers, improving response times and reducing CPU load. Health-based routing directs requests to the nearest healthy backend, minimizing downtime and providing optimal user experience. Autoscaling allows backend resources to adjust dynamically according to demand, ensuring that performance remains consistent during unpredictable traffic surges.

Regional External HTTP(S) Load Balancer distributes traffic within a single region and supports SSL termination and autoscaling. However, it cannot automatically route traffic to the nearest healthy backend outside the region. Multi-region failover must be manually configured, reducing reliability for a globally distributed user base. Regional load balancing is suitable for localized applications but does not meet the requirements of globally distributed SaaS applications.

TCP Proxy Load Balancer operates at the transport layer (Layer 4) and can route traffic globally to healthy backends. However, it lacks application-layer features such as SSL termination at the edge and HTTP(S)-specific routing. SaaS applications typically rely heavily on HTTP(S) traffic, and edge SSL termination reduces backend load, improves latency, and simplifies certificate management. TCP Proxy alone does not satisfy global SaaS requirements.

Global External HTTP(S) Load Balancer provides a single global IP and automatically routes traffic to the nearest healthy backend. SSL termination occurs at the edge, reducing backend CPU usage and improving latency. Autoscaling dynamically adjusts backend capacity across multiple regions to handle traffic surges. Multi-region failover ensures high availability by rerouting traffic if a backend fails. Centralized logging and monitoring simplify operational oversight, performance analysis, and troubleshooting. This solution satisfies all global SaaS delivery requirements: low latency, edge SSL termination, health-based routing, and autoscaling for variable traffic.

Question 186

A) VPC Peering with each service
B) Private Service Connect endpoints
C) Assign external IPs and use firewall rules
D) Individual VPN tunnels for each service

Correct Answer: B) Private Service Connect endpoints

Explanation

Healthcare organizations handle sensitive patient data and must ensure privacy, security, and regulatory compliance. Internal applications need private connectivity to Google Cloud managed services to avoid exposure to the public internet. Private IP connectivity ensures data remains isolated and meets regulatory standards such as HIPAA and GDPR. Centralized access management allows organizations to enforce consistent policies across teams, reducing the risk of misconfiguration and unauthorized access. Supporting multiple service producers simplifies network management, particularly for large healthcare organizations with numerous internal applications and multiple teams accessing cloud services.

VPC Peering with each service provides private connectivity,but does not scale well for multiple services. Each service requires a separate peering connection, and overlapping IP ranges are unsupported. Centralized access control is limited because policies must be applied individually to each peering connection. Operational complexity increases significantly as the number of services grows, making VPC Peering impractical for large healthcare organizations.

Assigning external IPs and using firewall rules exposes services to the public internet. While firewall rules can restrict access to authorized users, centralized access management is difficult. Supporting multiple service producers requires additional configuration, increasing administrative overhead. This approach does not fully meet privacy and compliance requirements.

Private Service Connect endpoints provide private IP connectivity to multiple managed services without using public IPs. Multiple service producers can be accessed through a single framework, reducing administrative overhead. Centralized access management ensures consistent policy enforcement across teams. Multi-region support allows seamless scaling without redesigning the network. Integrated logging and monitoring facilitate auditing, operational oversight, and compliance verification. Private Service Connect is secure, scalable, and operationally efficient, meeting privacy, compliance, and operational requirements for healthcare organizations.

Question 187

A multinational manufacturing company wants to connect its production sites to Google Cloud. Requirements include high throughput for large datasets, low latency for real-time production monitoring, dynamic route propagation, automatic failover, and centralized route management. Which solution should be implemented?

A) Cloud VPN Classic
B) Cloud Interconnect Dedicated with Cloud Router
C) Cloud Interconnect Partner with Cloud Router
D) Manually configured static routes

Correct Answer: C

Explanation (800 Words)
Global manufacturing operations generate massive amounts of data, including production line metrics, equipment telemetry, quality assurance data, and supply chain information. To effectively leverage cloud-based analytics, operational teams must move these datasets quickly and reliably. High throughput is crucial to ensure that large volumes of data, such as detailed sensor logs or batch production reports, are transferred efficiently to Google Cloud. If throughput is insufficient, delays can impact real-time analytics and operational decision-making, potentially causing production inefficiencies or missed quality thresholds.

Low latency is equally essential. Real-time production monitoring systems rely on near-instantaneous data updates. Delays in transmitting sensor information or control signals can affect the responsiveness of automated equipment, prevent timely detection of anomalies, and reduce the effectiveness of remote monitoring tools. A network solution must minimize latency to ensure that operational adjustments and alerts occur in real time.

Dynamic route propagation allows the network to automatically update routing tables as new production sites or subnets are added. This eliminates the need for manual intervention and reduces the likelihood of configuration errors that could disrupt data flows. Automatic failover ensures continuous connectivity if a network link or router fails. In manufacturing, downtime can be costly, leading to production delays, unmet delivery commitments, and revenue loss. Centralized route management allows IT teams to enforce consistent policies, monitor traffic, and maintain compliance across multiple sites, which is vital for operational oversight in large multinational organizations.

Cloud VPN Classic provides secure IPsec connectivity over the public internet. While it encrypts traffic, it cannot guarantee high throughput or low latency due to the variability of internet paths. Routing is primarily static, requiring manual updates when new production sites are added. Failover mechanisms are not automatic and require additional tunnels or manual intervention. Scaling VPNs to multiple global sites adds significant operational complexity, making this solution unsuitable for performance-sensitive manufacturing operations.

Cloud Interconnect Dedicated with Cloud Router delivers high-bandwidth, low-latency connectivity. Cloud Router enables dynamic route propagation, reducing manual configuration. However, a dedicated interconnect requires management of physical infrastructure in multiple international locations, which increases operational overhead and complexity. Configuring automatic failover also requires careful planning, and scaling globally may be resource-intensive. While performance is excellent, the operational effort and costs make it less flexible than partner interconnect solutions.

Manually configured static routes are inefficient for large-scale operations. Each site requires individual route configuration, and network changes necessitate updates at all locations. Failover is not automatic, and traffic cannot dynamically optimize for performance or reliability. Operational complexity rises dramatically as the network grows, making this approach impractical for multinational manufacturing networks.

Cloud Interconnect Partner with Cloud Router is the most suitable solution for multinational manufacturing companies. It provides predictable high throughput for large data transfers, low latency for real-time monitoring, dynamic route propagation to reduce administrative overhead, and automatic failover for continuous operations. Partner interconnect removes the need to manage physical infrastructure directly, while Cloud Router propagates routes automatically. Redundant connections ensure uninterrupted connectivity during network failures. Centralized management simplifies policy enforcement, monitoring, and troubleshooting across multiple international sites. This solution meets all critical requirements: performance, reliability, scalability, and operational efficiency.

Question 188

A SaaS provider wants to deliver its application globally using a single public endpoint. Requirements include SSL termination at the edge, routing requests to the nearest healthy backend, and autoscaling to handle unpredictable traffic spikes. Which load balancer should be deployed?

A) Regional External HTTP(S) Load Balancer
B) Global External HTTP(S) Load Balancer
C) TCP Proxy Load Balancer
D) Internal HTTP(S) Load Balancer

Correct Answer: B) Global External HTTP(S) Load Balancer

Explanation

Global SaaS applications require high availability, low latency, and elastic scalability to ensure a consistent user experience. Using a single global IP simplifies DNS management and provides a consistent entry point for users worldwide. SSL termination at the edge offloads encryption processing from backend servers, reducing latency and improving response times. Health-based routing ensures that requests are directed to the nearest healthy backend, minimizing downtime and optimizing performance. Autoscaling adjusts backend resources dynamically to accommodate unpredictable traffic spikes, ensuring consistent application performance without manual intervention.

Regional External HTTP(S) Load Balancer distributes traffic within a single region and supports SSL termination and autoscaling. However, it cannot route traffic automatically to the nearest healthy backend in other regions. Multi-region failover must be manually configured, which reduces reliability for globally distributed users. While regional load balancing is appropriate for localized applications, it does not satisfy global SaaS requirements that demand low-latency routing and high availability across multiple continents.

TCP Proxy Load Balancer operates at Layer 4 (TCP) and can route traffic globally to healthy backends. However, it does not provide application-layer features such as SSL termination at the edge or HTTP(S)-specific routing. SaaS applications rely heavily on HTTP(S) traffic, and edge SSL termination reduces backend CPU usage, improves latency, and simplifies certificate management. TCP Proxy alone is insufficient to meet global SaaS delivery needs.

Internal HTTP(S) Load Balancer is designed for private workloads within a VPC. It does not provide a public IP and is unsuitable for globally distributed, public-facing applications. SSL termination and autoscaling are limited to internal workloads, making this load balancer inappropriate for the SaaS provider’s requirements.

Global External HTTP(S) Load Balancer provides a single global IP accessible worldwide. It automatically routes traffic to the nearest healthy backend, reducing latency and improving performance. SSL termination at the edge offloads encryption processing from backend servers, enhancing efficiency. Autoscaling dynamically adjusts backend capacity across multiple regions to handle sudden traffic surges. Multi-region failover ensures high availability by rerouting traffic if a backend fails. Centralized logging and monitoring simplify operational oversight, performance analysis, and troubleshooting.

Question 189

A) VPC Peering with each service
B) Private Service Connect endpoints
C) Assign external IPs and use firewall rules
D) Individual VPN tunnels for each service

Correct Answer: B) Private Service Connect endpoints

Explanation

Healthcare organizations process highly sensitive data, including patient records, imaging data, and laboratory results. Regulatory compliance with HIPAA and other standards mandates that this data remain secure and private. Internal applications must connect to Google Cloud managed services over private IPs to avoid exposure to the public internet. Private connectivity ensures that sensitive information remains isolated, reducing the risk of data breaches and supporting compliance requirements.

Centralized access management is critical. By managing policies centrally, administrators can enforce consistent access controls across multiple teams, minimizing the risk of misconfigurations or unauthorized access. Supporting multiple service producers allows internal applications to access various cloud services from a unified network framework, reducing complexity and administrative overhead.

VPC Peering with each service provides private connectivity but does not scale efficiently. Each service requires a separate peering connection, and overlapping IP ranges are unsupported. Centralized access management is limited because policies must be applied individually per connection. This approach introduces operational complexity as the number of services grows.

Assigning external IPs and using firewall rules exposes services to the public internet. While firewall rules can restrict access to authorized users, centralized policy enforcement is difficult, and supporting multiple service producers requires additional configuration. This method does not fully meet privacy and compliance requirements.

Individual VPN tunnels for each service provide encrypted connectivity but are operationally intensive. Each tunnel must be configured, maintained, and monitored separately. Scaling to multiple services or teams becomes cumbersome, and centralized access management is difficult, increasing operational complexity.

Private Service Connect endpoints provide private IP connectivity to multiple managed services without requiring public IPs. Multiple service producers can be accessed through a single framework, simplifying administration. Centralized access management ensures consistent policies across teams. Multi-region support enables seamless scaling without redesigning the network. Integrated logging and monitoring allow auditing and operational oversight. Private Service Connect is secure, scalable, and operationally efficient, satisfying privacy, compliance, and operational requirements for healthcare organizations.

Considering private IP connectivity, centralized access control, multi-service support, and regulatory compliance, Private Service Connect is the optimal solution for healthcare organizations accessing multiple Google Cloud managed services securely.

Question 190

A global e-commerce company wants to connect its regional fulfillment centers to Google Cloud. Requirements include high throughput for large order data, low latency for real-time inventory updates, dynamic route propagation, automatic failover, and centralized route management. Which solution is most suitable?

A) Cloud VPN Classic
B) Cloud Interconnect Dedicated with Cloud Router
C) Cloud Interconnect Partner with Cloud Router
D) Manually configured static routes

Correct Answer: C) Cloud Interconnect Partner with Cloud Router

Explanation

E-commerce companies operate in a fast-paced environment where order processing, inventory management, and shipment coordination are time-sensitive. Regional fulfillment centers generate significant amounts of data, including order transactions, inventory updates, and shipping logistics. High throughput is necessary to efficiently move these large datasets to Google Cloud for real-time analytics, centralized monitoring, and operational orchestration. Without sufficient throughput, data bottlenecks could delay order processing, inventory updates, or analytics, impacting customer satisfaction and operational efficiency.

Low latency is crucial because fulfillment centers rely on real-time inventory updates. Accurate inventory levels are necessary for avoiding overselling, ensuring timely shipments, and maintaining customer trust. Even minor delays in transmitting stock data can lead to missed orders or stock discrepancies.

Dynamic route propagation reduces administrative complexity. As new fulfillment centers or cloud subnets are added, routes are automatically updated, minimizing configuration errors and operational overhead. Automatic failover ensures connectivity continuity in the event of a link or device failure. Downtime in an e-commerce network can disrupt order processing and cause financial losses. Centralized route management allows IT teams to enforce consistent network policies, monitor traffic flows, and maintain compliance across all regional centers.

Cloud VPN Classic provides encrypted connectivity over the public internet. While secure, VPNs cannot guarantee high throughput or low latency, which are essential for real-time operations. Routing is static, requiring manual updates when adding new centers. Failover mechanisms must be configured manually or via redundant tunnels, adding operational complexity. Scaling VPNs across multiple international locations increases administrative overhead, making it unsuitable for high-performance e-commerce networks.

Cloud Interconnect Dedicated with Cloud Router delivers high-bandwidth, low-latency connectivity. Cloud Router supports dynamic route propagation. However, a dedicated interconnect requires managing physical infrastructure across multiple regions, which adds operational complexity and cost. Configuring automatic failover requires additional planning and resources. While the solution delivers excellent performance, operational effort makes it less flexible compared to partner interconnect solutions.

Manually configured static routes are inefficient and error-prone. Each fulfillment center requires individual route configurations, and changes require updates at all locations. Failover is not automatic, and traffic cannot dynamically optimize for latency or throughput. This method does not scale for globally distributed e-commerce operations.

Cloud Interconnect Partner with Cloud Router is the most suitable solution. It provides predictable high throughput for large datasets, low latency for real-time inventory updates, dynamic route propagation for simplified management, and automatic failover for uninterrupted operations. Partner interconnect removes the need for managing physical infrastructure, while Cloud Router automatically propagates routes. Redundant connections ensure reliable failover in case of link or device failures. Centralized management enables consistent policy enforcement, traffic monitoring, and troubleshooting across all fulfillment centers. This solution meets all requirements for global e-commerce connectivity, ensuring efficiency, reliability, and scalability.

Question 191

A SaaS company wants to deploy a globally accessible application with a single public endpoint. Requirements include SSL termination at the edge, routing traffic to the nearest healthy backend, and autoscaling for sudden traffic spikes. Which load balancer should be deployed?

A) Regional External HTTP(S) Load Balancer
B) Global External HTTP(S) Load Balancer
C) TCP Proxy Load Balancer
D) Internal HTTP(S) Load Balancer

Correct Answer: B) Global External HTTP(S) Load Balance

Explanation

SaaS providers delivering applications to a global audience must ensure high availability, low latency, and elastic scalability. A single global IP simplifies DNS management, providing a consistent access point for users worldwide. SSL termination at the edge offloads encryption work from backend servers, improving performance and reducing latency. Health-based routing ensures traffic reaches the nearest healthy backend, optimizing performance and minimizing downtime. Autoscaling enables the backend to handle unpredictable traffic surges without manual intervention, maintaining consistent performance under variable workloads.

Regional External HTTP(S) Load Balancer distributes traffic within a single region and supports SSL termination and autoscaling. However, it cannot automatically route traffic to the nearest healthy backend across regions. Multi-region failover must be manually configured, reducing reliability for globally distributed users. Regional load balancing is suitable for localized deployments but cannot meet the requirements of a globally distributed SaaS application.

TCP Proxy Load Balancer operates at the transport layer (Layer 4) and can route traffic globally to healthy backends. However, it lacks application-layer features such as SSL termination at the edge and HTTP(S)-specific routing. SaaS applications rely on HTTP(S) traffic, and edge SSL termination reduces backend load, improves latency, and simplifies certificate management. TCP Proxy alone is insufficient for global SaaS delivery.

Internal HTTP(S) Load Balancer is designed for private workloads within a VPC. It does not provide a public IP and is unsuitable for globally accessible applications. SSL termination and autoscaling are limited to internal workloads, making it inappropriate for public-facing SaaS applications.

Global External HTTP(S) Load Balancer provides a single global IP accessible worldwide. It automatically routes traffic to the nearest healthy backend, minimizing latency and ensuring high performance. Edge SSL termination offloads encryption tasks, improving backend efficiency. Autoscaling adjusts backend capacity across multiple regions to handle traffic surges. Multi-region failover ensures high availability by rerouting traffic if a backend fails. Centralized logging and monitoring simplify operational oversight and troubleshooting.

Considering global reach, low latency, edge SSL termination, health-based routing, and autoscaling, Global External HTTP(S) Load Balancer is the optimal solution for SaaS providers delivering applications to a worldwide user base.

Question 192

A healthcare organization wants internal applications to access multiple Google Cloud managed services privately. Requirements include private IP connectivity, centralized access management, and support for multiple service producers. Which solution should be implemented?

A) VPC Peering with each service
B) Private Service Connect endpoints
C) Assign external IPs and use firewall rules
D) Individual VPN tunnels for each service

Correct Answer: B) Private Service Connect endpoints

Explanation

Healthcare organizations manage highly sensitive patient data, including medical records, lab results, and imaging information. Maintaining privacy, security, and regulatory compliance is essential. Internal applications require private IP connectivity to Google Cloud managed services to prevent exposure to the public internet. Private connectivity ensures sensitive data remains isolated and reduces the risk of breaches, supporting compliance with HIPAA and other regulations.

Centralized access management is critical. Administrators can enforce consistent policies across multiple teams and services, reducing the risk of misconfiguration or unauthorized access. Supporting multiple service producers allows internal applications to access various cloud services from a single framework, reducing administrative complexity and improving scalability.

VPC Peering with each service provides private connectivity, but it is not scalable. Each service requires a separate peering connection, and overlapping IP ranges are unsupported. Centralized access management is limited because policies must be configured individually per peering. This increases operational complexity, particularly for large organizations with many services.

Assigning external IPs and using firewall rules exposes services to the public internet. While firewall rules can restrict access, centralized access management is difficult, and multiple service producers require separate configurations, increasing administrative overhead. This approach does not meet privacy or compliance requirements.

Individual VPN tunnels for each service provide encrypted connectivity but are operationally intensive. Each tunnel must be configured, monitored, and maintained separately. Scaling to multiple services becomes cumbersome, and centralized access management is difficult, increasing operational complexity.

Private Service Connect endpoints provide private IP connectivity to multiple managed services without using public IPs. Multiple service producers can be accessed through a single framework, simplifying management. Centralized access management enforces consistent policies across teams. Multi-region support enables seamless scaling without network redesign. Integrated logging and monitoring facilitate auditing and operational oversight. Private Service Connect is secure, scalable, and operationally efficient, meeting privacy, compliance, and operational requirements for healthcare organizations.

Question 193

A global logistics company wants to connect its regional distribution centers to Google Cloud. Requirements include predictable high throughput for large shipment data, low latency for real-time tracking, dynamic route propagation, automatic failover, and centralized route management. Which solution should be implemented?

A) Cloud VPN Classic
B) Cloud Interconnect Dedicated with Cloud Router
C) Cloud Interconnect Partner with Cloud Router
D) Manually configured static routes

Correct Answer: C) Cloud Interconnect Partner with Cloud Router

Explanation

Global logistics companies handle massive volumes of shipment and operational data across multiple regions. Predictable high throughput is necessary to transfer large datasets, including inventory levels, shipment manifests, route optimization data, and delivery confirmations, to Google Cloud efficiently. Low throughput can lead to delays in updating inventory records, generating shipping labels, or providing real-time tracking to customers, which directly impacts customer satisfaction and operational efficiency.

Low latency is critical for real-time tracking and monitoring of shipments. Regional distribution centers must quickly communicate shipment status updates, inventory changes, and operational alerts to central systems. Any network delay can disrupt real-time dashboards, automated rerouting decisions, and coordination with last-mile delivery teams.

Dynamic route propagation simplifies administration by automatically updating routing tables as new distribution centers or cloud subnets are added. This reduces manual configuration errors and ensures consistency across a geographically distributed network. Automatic failover ensures continuous connectivity if a network link or device fails. Downtime in logistics networks can cause delays in dispatching shipments, lost tracking data, and operational inefficiencies. Centralized route management allows IT teams to enforce network policies, monitor traffic, and maintain compliance across all distribution centers.

Cloud VPN Classic provides secure encrypted tunnels over the public internet. However, VPNs cannot guarantee predictable high throughput or low latency, making them less suitable for real-time logistics operations. Routing is primarily static and requires manual updates when new centers are added. Failover requires redundant tunnels or manual intervention, which increases operational complexity. Scaling VPNs to multiple international locations is operationally intensive and less reliable.

Cloud Interconnect Dedicated with Cloud Router delivers high-bandwidth, low-latency connectivity, and Cloud Router provides dynamic route propagation. However, dedicated interconnect requires managing physical infrastructure at multiple locations, increasing operational overhead and cost. Automatic failover must be carefully configured, and scaling globally adds complexity. While performance is excellent, the operational effort can be significant.

Manually configured static routes are inefficient and error-prone. Each distribution center must have individually configured routes, and any changes require updates at all locations. Failover is not automatic, and traffic cannot dynamically optimize for latency or throughput. This approach is impractical for a global logistics network.

Cloud Interconnect Partner with Cloud Router is the most suitable solution. It provides predictable high throughput for large datasets, low latency for real-time shipment tracking, dynamic route propagation, and automatic failover. Partner interconnect removes the need to manage physical infrastructure, while Cloud Router propagates routes automatically. Redundant connections ensure uninterrupted connectivity during link or device failures. Centralized route management simplifies policy enforcement, monitoring, and troubleshooting across multiple distribution centers. This solution meets all critical requirements for global logistics connectivity: performance, reliability, scalability, and operational efficiency.

Question 194

A SaaS provider wants to deploy a globally accessible application using a single public IP. Requirements include SSL termination at the edge, routing traffic to the nearest healthy backend, and autoscaling to handle unpredictable user traffic. Which load balancer should be deployed?

A) Regional External HTTP(S) Load Balancer
B) Global External HTTP(S) Load Balancer
C) TCP Proxy Load Balancer
D) Internal HTTP(S) Load Balancer

Correct Answer: B) Global External HTTP(S) Load Balancer

Explanation

SaaS providers delivering applications to users worldwide must ensure high availability, low latency, and elastic scalability. A single global IP simplifies DNS management and ensures that users have a consistent entry point. SSL termination at the edge offloads encryption tasks from backend servers, improving performance and reducing latency. Health-based routing directs traffic to the nearest healthy backend, optimizing user experience and minimizing downtime. Autoscaling dynamically adjusts backend capacity to accommodate unpredictable traffic surges, maintaining performance without manual intervention.

Regional External HTTP(S) Load Balancer distributes traffic within a single region and supports SSL termination and autoscaling. However, it cannot route traffic automatically to the nearest healthy backend outside the region. Multi-region failover requires manual configuration, reducing reliability for globally distributed users. Regional load balancing is suitable for applications with a limited geographic scope but does not satisfy global SaaS requirements.

TCP Proxy Load Balancer operates at the transport layer (Layer 4) and supports global routing to healthy backends. However, it lacks application-layer features such as SSL termination at the edge and HTTP(S)-specific routing. SaaS applications are typically HTTP(S)-based, and edge SSL termination reduces backend load and simplifies certificate management. TCP Proxy alone does not meet global delivery requirements.

Global External HTTP(S) Load Balancer provides a single global IP accessible worldwide. It routes traffic automatically to the nearest healthy backend, minimizing latency and ensuring high performance. SSL termination occurs at the edge, offloading encryption from backend servers. Autoscaling adjusts backend capacity across multiple regions to handle sudden traffic spikes. Multi-region failover ensures high availability by rerouting traffic if a backend fails. Centralized logging and monitoring simplify operational oversight, performance analysis, and troubleshooting.

Question 195

A) VPC Peering with each service
B) Private Service Connect endpoints
C) Assign external IPs and use firewall rules
D) Individual VPN tunnels for each service

Correct Answer: B) Private Service Connect endpoints

Explanation

Healthcare organizations handle highly sensitive patient data, including medical records, lab results, and imaging information. Compliance with HIPAA and other privacy regulations requires private, secure communication between internal applications and cloud-managed services. Private IP connectivity ensures that traffic does not traverse the public internet, reducing exposure to potential breaches and satisfying regulatory requirements.

Centralized access management allows administrators to enforce consistent policies across multiple teams and services, minimizing the risk of misconfiguration or unauthorized access. Supporting multiple service producers enables internal applications to connect to a variety of cloud services without requiring separate network configurations for each service. This approach reduces operational complexity and simplifies scaling as additional services or applications are deployed.

VPC Peering with each service provides private connectivity but does not scale efficiently. Each service requires a separate peering connection, and overlapping IP ranges are not supported. Centralized access management is limited because policies must be applied individually for each peering connection. Operational overhead increases as the number of services grows, making VPC Peering impractical for large healthcare organizations.

Assigning external IPs and using firewall rules exposes services to the public internet. While firewall rules can restrict access, centralized management is difficult, and multiple service producers require additional configuration. This approach does not fully meet privacy or compliance requirements.

Individual VPN tunnels for each service provide encrypted connectivity but are operationally intensive. Each tunnel must be independently configured, monitored, and maintained. Scaling to multiple services or teams is cumbersome, and centralized access management is difficult, increasing operational complexity.

Private Service Connect endpoints provide private IP connectivity to multiple managed services without using public IPs. Multiple service producers can be accessed through a single framework, simplifying network administration. Centralized access management ensures consistent policy enforcement across teams. Multi-region support allows seamless scaling without redesigning the network. Integrated logging and monitoring facilitate auditing and operational oversight. Private Service Connect is secure, scalable, and operationally efficient, satisfying privacy, compliance, and operational requirements for healthcare organizations.

Google Professional Cloud Network Engineer Exam Dumps and Practice Test Questions Set 13 Q181-195

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