Google Professional Cloud Network Engineer Exam Dumps and Practice Test Questions Set 12 Q166-180

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Question 166

A global automotive company wants to connect multiple manufacturing plants to Google Cloud. Requirements include predictable high throughput, low latency, 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

Explanation

Automotive companies operate in highly data-intensive environments, where manufacturing plants generate massive amounts of telemetry, supply chain data, production analytics, and quality control information. Connecting multiple plants to Google Cloud requires networking solutions that provide predictable high throughput to efficiently move large datasets between plants and the cloud. Low latency is critical for real-time monitoring of production lines, robotics control, and automated quality inspections. Dynamic route propagation allows routes to update automatically whenever new plants or subnets are added, significantly reducing operational overhead and minimizing human error. Automatic failover ensures that plant operations continue without interruption in case of link or device failures, which is vital for maintaining production schedules and meeting delivery commitments. Centralized route management allows administrators to monitor traffic, enforce security policies, and manage routes from a single location, ensuring operational control and regulatory compliance.

Cloud VPN Classic offers secure IPsec tunnels over the public internet. While it provides encryption, VPNs cannot guarantee predictable throughput or low latency due to variable internet conditions. Routing is primarily static, requiring manual updates when new plants are added. Failover is either manual or requires redundant tunnels. Scaling VPNs for multiple global plants introduces significant operational complexity, making it unsuitable for high-performance, latency-sensitive automotive operations.

Cloud Interconnect Dedicated with Cloud Router provides private, high-bandwidth connectivity with low latency. Cloud Router enables dynamic route propagation, reducing administrative effort. However, a dedicated interconnect requires managing physical infrastructure in multiple regions. Failover must be carefully configured, and operational complexity grows with the number of manufacturing plants. While performance is excellent, managing dedicated connections globally adds administrative overhead.

Manually configured static routes are inefficient and prone to errors. Each plant requires individual route configurations, and network changes require updates across all sites. Failover is not automated, and traffic cannot dynamically adjust to optimize performance. Operational complexity increases exponentially with scale, making static routes impractical for global automotive networks.

Cloud Interconnect Partner with Cloud Router delivers high throughput, low latency, dynamic route propagation, automatic failover, and centralized management. Partner interconnect provides reliable connectivity without requiring the company to manage physical infrastructure. Cloud Router automatically propagates routes, reducing administrative overhead. Redundant connections ensure automatic failover, maintaining operations during link or device failures. Centralized monitoring, logging, and policy management simplify operational oversight and regulatory compliance. This solution meets all requirements for connecting multiple manufacturing plants to Google Cloud: predictable bandwidth, low latency, dynamic routing, failover automation, and centralized management.

Considering throughput, latency, failover, scalability, and operational efficiency, Cloud Interconnect Partner with Cloud Router is the optimal solution for a global automotive company connecting multiple plants to Google Cloud.

Question 167

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

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 provide low-latency access, high availability, and elasticity to handle variable traffic. A single global IP simplifies DNS management and client access. SSL termination at the edge offloads encryption from backend servers, reducing latency and improving performance. Health-based routing ensures that users are routed to the nearest healthy backend, minimizing downtime and optimizing user experience. Autoscaling dynamically adjusts backend capacity during traffic spikes, maintaining consistent performance without manual intervention.

Regional external HTTP(S) load balancing 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 is not automatic, reducing reliability for a globally distributed user base. Regional load balancing is suitable for localized services but insufficient for global SaaS delivery.

TCP Proxy Load Balancing operates at the transport layer 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 heavily on HTTP(S) traffic, and edge SSL termination improves latency, reduces backend load, and simplifies certificate management. TCP Proxy alone does not meet application-layer requirements for global SaaS applications.

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

Global external HTTP(S) load balancing provides a single global IP accessible worldwide. Traffic is automatically routed to the nearest healthy backend, reducing latency. SSL termination occurs at the edge, improving performance and reducing backend processing load. Autoscaling dynamically adjusts backend capacity across multiple regions, ensuring uninterrupted service during traffic surges. Multi-region failover guarantees high availability by automatically rerouting traffic if a backend fails. Centralized monitoring and logging simplify operational oversight, performance analysis, and troubleshooting. This solution meets all requirements for global SaaS delivery: low-latency access, edge SSL termination, health-based routing, and autoscaling for traffic spikes.

Considering global accessibility, low latency, edge SSL termination, health-based routing, and autoscaling, global external HTTP(S) load balancing is the optimal choice for SaaS providers delivering applications worldwide.

Question 168

A healthcare organization needs 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

Explanation

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

VPC Peering with each service provides private connectivity,, but is not scalable 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 configured individually for each peering connection. Operational complexity increases significantly as the number of services grows, making VPC Peering impractical.

Assigning external IPs and using firewall rules exposes services to the public internet, even if restricted. While firewall rules can limit connections to authorized users, centralized access management is difficult. Supporting multiple service producers requires separate configurations, increasing administrative overhead. This approach does not fully satisfy healthcare privacy and compliance requirements.

Individual VPN tunnels for each service provide encrypted connectivity but introduce high operational overhead. Each tunnel must be configured, monitored, and maintained independently. Scaling to multiple services or teams is cumbersome. Centralized access management is challenging because each VPN operates independently. Operational complexity and administrative burden increase significantly without scalable management.

Private Service Connect endpoints provide private IP access 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 and operational oversight. 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 169

A multinational logistics company wants to connect its regional distribution centers to Google Cloud. Requirements include high throughput for large data transfers, low latency for real-time tracking, 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

Logistics companies operate in highly dynamic, data-intensive environments. Regional distribution centers generate significant operational data, including shipment manifests, inventory updates, fleet tracking telemetry, and real-time order status. Efficiently connecting these centers to Google Cloud requires a solution that provides high throughput to accommodate large volumes of data without congestion or bottlenecks. High throughput ensures timely updates to analytics platforms and operational dashboards, which are critical for efficient supply chain management, route optimization, and delivery coordination.

Low latency is equally important in logistics. Applications that rely on real-time tracking, automated dispatching, and dynamic inventory adjustments cannot tolerate delays. Latency directly impacts decision-making speed, shipment accuracy, and overall operational efficiency. Dynamic route propagation reduces the administrative burden associated with adding new centers or changing network configurations. Routes are automatically updated, minimizing manual intervention and reducing the risk of misconfiguration, which is crucial for a geographically distributed organization.

Automatic failover ensures that connectivity is maintained if a primary link or network device fails. For logistics operations, downtime can result in delayed deliveries, operational disruption, and financial loss. Ensuring continuity in connectivity allows systems to operate seamlessly even during failures, maintaining high availability. Centralized route management provides visibility into the entire network, simplifies policy enforcement, and allows consistent monitoring and troubleshooting across multiple regions. This is essential for compliance and operational efficiency.

Cloud VPN Classic provides secure IPsec tunnels over the public internet. While VPNs encrypt traffic, they cannot guarantee high throughput or low latency due to unpredictable internet conditions. Routing is primarily static, requiring manual updates when new distribution centers are added. Failover requires multiple redundant tunnels or manual intervention, adding operational complexity. Scaling VPNs for multiple global centers increases administrative overhead, making it unsuitable for performance-critical logistics operations.

Cloud Interconnect Dedicated with Cloud Router offers private, high-bandwidth connectivity and low latency. Cloud Router provides dynamic route propagation, reducing manual route configuration. Howevera , a dedicated interconnect requires managing physical infrastructure across multiple regions. Failover configurations must be implemented manually, which adds administrative complexity. While performance is excellent, the operational effort for managing multiple dedicated links globally is significant, especially when connecting numerous distribution centers.

Manually configured static routes are highly inefficient. Each center requires individual route setup, and any network changes must be updated across all sites. Failover is not automatic, and traffic cannot dynamically optimize for latency or throughput. Operational complexity and the risk of misconfiguration increase exponentially as the network scales, making static routes impractical.

Cloud Interconnect Partner with Cloud Router provides the most suitable solution. It delivers predictable high throughput and low latency without requiring the organization to manage physical infrastructure. Cloud Router automatically propagates routes, minimizing administrative overhead. Redundant partner interconnect connections provide automatic failover, maintaining operational continuity during link failures. Centralized management allows consistent monitoring, logging, and policy enforcement. This solution fully satisfies the requirements of connecting multiple regional distribution centers to Google Cloud efficiently, reliably, and securely.

Question 170

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 companies serving a global user base require low-latency access, high availability, and elastic scalability to handle variable traffic patterns. Using a single public IP simplifies DNS management and user access. SSL termination at the edge offloads encryption tasks from backend servers, reducing latency and improving server performance. This is crucial for SaaS applications that rely on secure transactions or sensitive data processing. Health-based routing ensures that traffic is directed to the nearest healthy backend, optimizing performance, reducing latency, and preventing downtime caused by unhealthy instances. Autoscaling dynamically adjusts backend capacity in response to traffic spikes, maintaining 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 does not automatically route traffic from users outside the region to the nearest healthy backend. Multi-region failover must be manually configured, reducing reliability for globally distributed users. Regional load balancing is suitable for localized applications but does not meet the requirements for a globally distributed SaaS application that requires edge routing and low latency.

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 like SSL termination at the edge or HTTP(S)-specific routing. SaaS applications often depend on HTTP(S) traffic and require edge SSL termination to reduce latency and backend load. TCP Proxy alone cannot meet the application-layer requirements of a global SaaS deployment.

Internal HTTP(S) Load Balancer is designed for private workloads within a VPC and cannot provide a public IP. 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 accessible worldwide. It automatically routes traffic to the nearest healthy backend, minimizing latency. SSL termination at the edge reduces backend CPU utilization and improves application performance. Autoscaling dynamically adjusts backend capacity across multiple regions, ensuring uninterrupted service during traffic surges. Multi-region failover guarantees high availability by rerouting traffic automatically if a backend fails. Centralized monitoring and logging simplify operational oversight and troubleshooting. This solution satisfies all requirements: low-latency access, edge SSL termination, health-based routing, and autoscaling for unpredictable traffic.

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

Question 171

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 must protect sensitive patient and operational data while maintaining operational efficiency. Internal applications require private connectivity to Google Cloud-managed services to prevent exposure to the public internet. Private IP connectivity ensures sensitive data remains isolated, meeting regulatory requirements such as HIPAA. Centralized access management enables consistent policy enforcement across teams, reducing the risk of misconfigurations and unauthorized access. Supporting multiple service producers simplifies network management for large healthcare organizations with many teams and services.

VPC Peering with each service provides private connectivity, but does not scale well. Each service requires a separate peering connection, and overlapping IP ranges are unsupported. Centralized access management is limited because policies must be applied individually for each peering connection. Operational complexity increases significantly as the number of services grows, 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 difficult. Supporting multiple service producers requires separate configurations, increasing administrative overhead. This approach does not fully satisfy 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 access 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 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 172

A global e-commerce company wants to connect its regional fulfillment centers to Google Cloud. Requirements include predictable high throughput for large inventory datasets, low latency for real-time order processing, 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 e-commerce operations require highly reliable network connectivity to ensure real-time inventory management, order fulfillment, and supply chain coordination. Regional fulfillment centers generate large volumes of data, including stock levels, shipment tracking information, and operational metrics. High throughput is essential to transfer these large datasets efficiently to Google Cloud for analytics, automated order processing, and centralized operational control. Low latency is critical for applications that process orders in real-time and adjust inventory dynamically to prevent overselling or stockouts.

Dynamic route propagation is essential to reduce administrative overhead as the network grows. It allows new fulfillment centers or subnets to automatically propagate routes, minimizing manual configuration and reducing the risk of errors. Automatic failover ensures continuity in case of link or device failure, which is crucial for e-commerce companies where downtime can lead to financial losses and customer dissatisfaction. Centralized route management provides visibility into network traffic, simplifies policy enforcement, and supports compliance and operational monitoring across multiple regions.

Cloud VPN Classic provides encrypted connectivity over the public internett,t but does not guarantee predictable throughput or low latency because internet performance is variable. Routing is mostly static and must be updated manually whenever new centers are added. Failover requires either manual intervention or redundant tunnels. Scaling VPNs for multiple global centers introduces operational complexity and limits reliability, making it unsuitable for latency-sensitive, high-volume e-commerce environments.

Cloud Interconnect Dedicated with Cloud Router offers high bandwidth and low latency connectivity with dynamic route propagation. However dedicated interconnect requires management of physical infrastructure across multiple regions. Failover must be carefully configured, increasing operational overhead. While the solution provides excellent performance, managing multiple dedicated links globally can be labor-intensive, especially for large e-commerce networks.

Manually configured static routes are inefficient for large-scale networks. Each fulfillment center requires individual route setup, and any network changes require updates across all sites. Failover is not automatic, and traffic cannot dynamically optimize based on current network conditions. Operational complexity grows significantly with scale, making static routes impractical.

Cloud Interconnect Partner with Cloud Router is the most appropriate solution. It provides high throughput, low latency, dynamic route propagation, automatic failover, and centralized management without requiring the organization to manage physical infrastructure. Cloud Router automatically propagates routes, reducing administrative effort. Redundant partner interconnect connections ensure automatic failover, maintaining continuous operations during link failures. Centralized monitoring and management simplify auditing, logging, and operational oversight. This solution meets all requirements for connecting multiple regional fulfillment centers to Google Cloud efficiently, reliably, and securely.

Considering throughput, latency, failover, scalability, and operational efficiency, Cloud Interconnect Partner with Cloud Router is the optimal solution for global e-commerce companies.

Question 173

A SaaS provider needs to deliver its web application globally with a single public endpoint. Requirements include SSL termination at the edge, routing traffic to the nearest healthy backend, and autoscaling to handle sudden traffic surges. 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 public IP simplifies DNS management and client access. SSL termination at the edge offloads encryption from backend servers, reducing latency and improving performance. Health-based routing ensures user requests are directed to the nearest healthy backend, minimizing downtime and optimizing response time. Autoscaling dynamically adjusts backend capacity to handle sudden traffic surges, 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 does not automatically route traffic to the nearest healthy backend across multiple regions. Multi-region failover is not automatic, reducing reliability for globally distributed users. While regional load balancing is suitable for local applications, it does not meet global SaaS delivery requirements for low-latency, multi-region routing.

TCP Proxy Load Balancer operates at the transport layer (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 improves latency, reduces backend load, and simplifies certificate management. TCP Proxy alone cannot satisfy the application-layer requirements of global SaaS applications.

Internal HTTP(S) Load Balancer is designed for private workloads within a VPC and does not provide a public IP. 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 public IP that is accessible worldwide. It automatically routes traffic to the nearest healthy backend, reducing latency and improving user experience. SSL termination occurs at the edge, reducing backend processing requirements and improving application performance. Autoscaling dynamically adjusts backend capacity across multiple regions, ensuring uninterrupted service during traffic spikes. Multi-region failover guarantees high availability by automatically rerouting traffic if a backend fails. Centralized monitoring and logging simplify operational oversight, troubleshooting, and performance analysis. This solution satisfies all requirements: low-latency access, edge SSL termination, health-based routing, and autoscaling for unpredictable traffic.

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

Question 174

A healthcare organization wants to enable 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 used?

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 must ensure the privacy and security of sensitive patient data while maintaining operational efficiency. Internal applications require private connectivity to Google Cloud managed services to prevent exposure over the public internet. Private IP connectivity ensures sensitive healthcare data remains isolated, meeting regulatory requirements such as HIPAA. Centralized access management allows consistent policy enforcement across teams, reducing the risk of misconfiguration or unauthorized access. Support for multiple service producers simplifies network management in large healthcare organizations with multiple teams and services.

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 control is limited because policies must be applied individually for 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, even if restricted. While firewall rules can limit access to authorized users, centralized access management is challenging. Supporting multiple service producers requires separate configurations, increasing administrative overhead. This approach does not fully satisfy healthcare privacy and compliance requirements.

Question 175

A multinational manufacturing company needs to connect its factories and regional offices to Google Cloud. Requirements include high throughput for large data transfers, 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) Cloud Interconnect Partner with Cloud Router

Explanation

Manufacturing organizations generate significant amounts of operational data, including production metrics, quality control information, machinery telemetry, and supply chain updates. Connecting multiple factories and regional offices to Google Cloud requires a networking solution capable of handling high throughput to ensure he timely transmission of large datasets. High throughput is essential for efficiently moving data between facilities and the cloud for analytics, automated decision-making, and centralized monitoring of manufacturing processes. Low latency is crucial for real-time production monitoring, allowing operational teams to detect anomalies, adjust machinery, and optimize production lines without delays.

Dynamic route propagation minimizes the administrative effort required to manage a large network. When new factories or offices are added, routes automatically update, reducing the risk of misconfigurations and human error. Automatic failover ensures continuity in case of link or device failure, which is critical for maintaining production schedules and avoiding costly downtime. Centralized route management provides a single point of control for monitoring network health, enforcing security policies, and ensuring operational compliance across multiple regions.

Cloud VPN Classic offers secure IPsec tunnels over the public internet. While it provides encrypted connectivity, predictable high throughput and low latency are not guaranteed due to variable internet performance. Routing is primarily static and must be manually updated whenever new sites are added. Failover requires redundant tunnels or manual intervention. Scaling VPNs to multiple factories increases operational complexity and reduces reliability, making it unsuitable for performance-sensitive manufacturing environments.

Cloud Interconnect Dedicated with Cloud Router provides private, high-bandwidth connectivity and low latency. Cloud Router allows dynamic route propagation, reducing manual configuration. However, a dedicated interconnect requires managing physical infrastructure across multiple regions, increasing operational overhead. Failover configurations must be carefully implemented. While performance is excellent, operational management of multiple dedicated links globally can be labor-intensive, particularly when connecting numerous factories and offices.

Manually configured static routes are inefficient for large-scale networks. Each factory or office requires individual route configuration, and any changes to the network require updates at all sites. Failover is not automated, and traffic cannot dynamically optimize for latency or throughput. Operational complexity grows significantly with scale, making static routes impractical.

Cloud Interconnect Partner with Cloud Router provides predictable high throughput, low latency, dynamic route propagation, automatic failover, and centralized management. Partner interconnect ensures reliable connectivity without requiring the company to manage physical infrastructure. Cloud Router automatically propagates routes, minimizing administrative effort. Redundant connections provide automatic failover, maintaining continuous operations in case of link or device failure. Centralized monitoring, logging, and policy enforcement simplify operational oversight and regulatory compliance. This solution satisfies all requirements for connecting factories and regional offices to Google Cloud efficiently, securely, and reliably.

Considering throughput, latency, failover, scalability, and operational efficiency, Cloud Interconnect Partner with Cloud Router is the optimal choice for a multinational manufacturing company connecting multiple sites to Google Cloud.

Question 176

A SaaS company wants to deliver its application globally using a single public endpoint. Requirements include SSL termination at the edge, routing to the nearest healthy backend, and autoscaling to handle sudden traffic increases. 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) GlobalExternal HTTP(S) Load

Explanation

Global SaaS applications require low-latency access, high availability, and the ability to scale elastically in response to variable traffic patterns. Using a single global IP simplifies DNS management and client access. SSL termination at the edge offloads encryption processing from backend servers, reducing latency and improving backend performance. Health-based routing ensures that traffic is directed to the nearest healthy backend, minimizing downtime and providing optimal user experience. Autoscaling allows backend resources to adjust dynamically according to demand, 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 automatically route traffic to the nearest healthy backend outside the region. Multi-region failover is not automatic, which reduces reliability for users accessing the SaaS application from different parts of the world. While regional load balancing is appropriate for localized applications, it does not meet the requirements of globally distributed SaaS applications.

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

Global External HTTP(S) Load Balancer provides a single public IP accessible worldwide. It automatically routes traffic to the nearest healthy backend, reducing latency and improving performance. SSL termination occurs at the edge, minimizing backend processing and improving response times. Autoscaling dynamically adjusts backend capacity across multiple regions to handle traffic spikes, ensuring uninterrupted service. Multi-region failover guarantees high availability by rerouting traffic automatically if a backend fails. Centralized monitoring and logging simplify operational oversight, troubleshooting, and performance analysis. This solution satisfies all global SaaS delivery requirements: low-latency access, edge SSL termination, health-based routing, and autoscaling.

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 serving users worldwide.

Question 177

A healthcare organization needs its internal applications to securely access multiple Google Cloud managed services. 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 sensitive patient and operational data, requiring secure and private connectivity to Google Cloud services. Internal applications need private IP access to multiple managed services to prevent exposure to the public internet, ensuring compliance with privacy regulations such as HIPAA. Centralized access management enables consistent policy enforcement across teams, minimizing the risk of misconfiguration and unauthorized access. Supporting multiple service producers simplifies network operations for large healthcare organizations with multiple teams and services.

VPC Peering with each service provides private connectivity, but does not scale effectively for multiple services. 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 complexity increases as the number of services grows, making VPC Peering impractical for large healthcare environments.

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

Private Service Connect endpoints provide private IP access 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 the privacy, compliance, and operational requirements for healthcare organizations.

Question 178

A global retail company wants to connect its regional warehouses to Google Cloud. Requirements include predictable high throughput, low latency for 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

Retail operations depend on the timely flow of data between regional warehouses and central cloud systems. Predictable high throughput is necessary to efficiently transfer large datasets, including inventory levels, order data, and shipment records. Without sufficient throughput, analytics systems may lag, leading to delays in stock replenishment and order processing. Low latency is critical for real-time inventory updates, which enable accurate stock tracking, automatic reorder triggers, and dynamic allocation of products across warehouses.

Dynamic route propagation simplifies network management by automatically updating routes whenever a new warehouse or subnet is added. This eliminates the need for manual configuration and reduces the risk of errors. Automatic failover ensures continuity in case of network link or device failure, which is essential for retail operations where downtime can disrupt supply chains, delay deliveries, and affect revenue. Centralized route management allows network administrators to enforce consistent policies, monitor traffic, and maintain compliance across all regions.

Cloud VPN Classic provides encrypted IPsec connectivity over the public internet, but throughput is unpredictable and latency is variable due to the underlying internet path. Routing is primarily static, requiring manual updates whenever warehouses are added or routes change. Failover needs redundant tunnels or manual intervention, and scaling VPNs across multiple regions introduces complexity. These limitations make Cloud VPN unsuitable for retail operations requiring predictable performance and low latency.

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

Manually configured static routes are inefficient and error-prone. Each warehouse must have individual route configurations, and any network changes require updates across all sites. Failover is not automated, and traffic cannot dynamically optimize for performance or redundancy. This approach does not scale well and is unsuitable for global retail networks.

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 route management. Partner interconnect removes the need to manage physical infrastructure while maintaining reliable connectivity. Cloud Router automatically propagates routes, minimizing administrative effort. Redundant connections provide automatic failover, ensuring continuous operations in the event of a link or device failure. Centralized management allows monitoring, logging, and consistent policy enforcement across all warehouses. This solution meets all requirements for a global retail network: high performance, real-time updates, scalability, reliability, and operational efficiency.

Question 179

A SaaS company needs to deliver its application globally with 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 provide high availability, low latency, and elastic scalability. Using a single global IP simplifies DNS management and provides a consistent entry point for users. SSL termination at the edge offloads encryption processing from backend servers, reducing latency and improving performance. Health-based routing directs requests to the nearest healthy backend, ensuring reliable performance and minimizing downtime. Autoscaling dynamically adjusts backend resources to meet sudden traffic spikes, maintaining consistent user experience without manual intervention.

Regional External HTTP(S) Load Balancer distributes traffic within a single region. It supports SSL termination and autoscaling, but it cannot automatically route traffic to the nearest healthy backend in other regions. Multi-region failover is not automatic, reducing reliability for globally distributed users. Regional load balancing is suitable for localized applications but is insufficient for 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 like SSL termination at the edge and HTTP(S)-specific routing. SaaS applications rely heavily on HTTP(S) traffic, and edge SSL termination reduces backend load, improves latency, and simplifies certificate management. TCP Proxy alone does not meet global SaaS requirements.

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

Global External HTTP(S) Load Balancer provides a single global IP, automatically routing traffic to the nearest healthy backend. SSL termination occurs at the edge, reducing backend CPU usage and improving latency. Autoscaling dynamically adjusts capacity across 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 requirements for global SaaS delivery: low latency, edge SSL termination, health-based routing, and autoscaling for variable traffic.

Question 180

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 deployed?

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 enabling operational efficiency. Internal applications require private connectivity to Google Cloud managed services to prevent exposure to the public internet. Private IP connectivity ensures sensitive data remains isolated, meeting regulatory requirements such as HIPAA. Centralized access management allows consistent policy enforcement across teams, reducing the risk of misconfiguration or unauthorized access. Supporting multiple service producers simplifies network management for large organizations with numerous teams and services.

VPC Peering with each service provides private connectivity but is not scalable 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 for each peering connection. Operational complexity increases as the number of services grows, 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 difficult. Supporting multiple service producers requires separate configurations, increasing administrative overhead. This approach does not fully meet healthcare privacy and compliance requirements.

Private Service Connect endpoints provide private IP access 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 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.

Google Professional Cloud Network Engineer Exam Dumps and Practice Test Questions Set 12 Q166-180

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