Google Professional Cloud Network Engineer Exam Dumps and Practice Test Questions Set 14 Q196-21

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Question 196

A global financial services company wants to connect its branch offices to Google Cloud. Requirements include predictable high throughput for transaction data, low latency for real-time trading applications, 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

Financial services companies operate under strict performance and security requirements. Branch offices generate a high volume of transaction data, market feeds, and trading analytics that must be securely transmitted to Google Cloud. Predictable high throughput is crucial to ensure that large datasets are transferred efficiently and in near real-time. Slow data transfer could delay transaction processing, impact algorithmic trading decisions, and cause financial losses.

Low latency is essential for real-time trading applications. Financial systems require millisecond-level responsiveness to execute trades, update pricing, and synchronize market data across multiple global locations. Any network delay could result in suboptimal trades, missed opportunities, or compliance violations.

Dynamic route propagation is important because branch offices or cloud subnets may be added or reconfigured frequently. Cloud Router automatically updates routing tables, reducing administrative effort and minimizing errors. Automatic failover ensures continuity if a link or router fails. Downtime in financial networks can halt trading operations, affect regulatory reporting, and damage reputation. Centralized route management allows IT teams to enforce consistent policies, monitor traffic, and troubleshoot efficiently across all branch offices.

Cloud VPN Classic provides secure,, encrypted tunnels over the public internet, but throughput and latency cannot be guaranteed. Routing is primarily static and requires manual updates for new offices. Failover requires additional tunnels or manual intervention, adding operational complexity. Scaling VPNs globally introduces administrative overhead and potential performance inconsistencies.

Cloud Interconnect Dedicated with Cloud Router offers high-bandwidth, low-latency connectivity with dynamic routing. However, managing physical infrastructure across multiple global locations increases operational complexity and cost. Automatic failover requires careful configuration, and scaling internationally may be resource-intensive. While performance is excellent, operational effort makes it less flexible than partner interconnect solutions.

Manually configured static routes are inefficient for large-scale networks. Each office requires individual route configuration, and any changes require updates at all locations. Failover is not automatic, and traffic cannot dynamically optimize for latency or throughput. This approach does not scale well for global financial networks.

Cloud Interconnect Partner with Cloud Router is the most suitable solution. It provides predictable high throughput for large transaction datasets, low latency for real-time trading, dynamic route propagation for simplified management, and automatic failover. Partner interconnect removes the need to manage physical infrastructure directly, 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. This solution meets all critical requirements for global financial connectivity, including performance, reliability, scalability, and operational efficiency.

Question 197

A SaaS provider wants to deploy a globally available application using 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 Balancer

Explanation

SaaS providers delivering applications globally require high availability, low latency, and elastic scalability. A single public IP simplifies DNS management, offering a consistent entry point for users worldwide. SSL termination at the edge offloads encryption processing from backend servers, improving performance and reducing response times. Health-based routing ensures requests are directed to the nearest healthy backend, minimizing latency and maximizing uptime. Autoscaling dynamically adjusts backend resources to accommodate unpredictable traffic surges, 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 cannot route traffic to the nearest healthy backend across multiple regions automatically. Multi-region failover requires manual configuration, reducing reliability for a globally distributed user base. While suitable for localized applications, regional load balancing does not satisfy global SaaS delivery requirements.

TCP Proxy Load Balancer operates at Layer 4 and can route traffic globally to healthy backends, but 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 CPU load, improves latency, and simplifies certificate management. TCP Proxy alone cannot meet global delivery 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 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 improving performance. SSL termination occurs at the edge, offloading encryption from backend servers. Autoscaling dynamically 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 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 worldwide.

Question 198

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. Compliance with HIPAA and other privacy regulations requires secure, private communication between internal applications and GooglCloud-manageded services. Private IP connectivity ensures traffic does not traverse the public internet, reducing exposure to potential breaches and meeting regulatory requirements.

Centralized access management allows administrators to enforce consistent policies across multiple teams and services. This reduces the risk of misconfiguration or unauthorized access, ensuring compliance and operational security. Supporting multiple service producers enables internal applications to connect to various cloud services without creating separate network configurations for each service. This reduces complexity, improves scalability, and simplifies management.

VPC Peering with each service provides private connectivity,, but 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 applied individually to each peer. Operational overhead 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, 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 configured, monitored, and maintained separately. Scaling to multiple services is cumbersome, and centralized access management is difficult, increasing operational complexity.

Private Service Connect endpoints provide private IP connectivity to multiple managed services without 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, 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 optimal solution for healthcare organizations accessing multiple Google Cloud managed services securely.

Question 199

A multinational media company wants to connect its video production studios to Google Cloud. Requirements include predictable high throughput for transferring large video files, low latency for real-time editing and 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

Media companies dealing with video production handle enormous amounts of data, including high-resolution footage, graphics, audio, and animation files. To facilitate collaboration and editing workflows across multiple global studios, the network solution must provide predictable high throughput. This ensures that large video files can be uploaded, downloaded, or processed without bottlenecks, avoiding delays in editing, post-production, and content delivery pipelines.

Low latency is equally crucial. Real-time collaboration in video editing requires near-instantaneous data updates. Editors working on the same project from different locations must see updates and rendered previews without noticeable lag. High latency can slow workflow efficiency, create inconsistencies in collaborative editing, and disrupt project timelines.

Dynamic route propagation reduces administrative complexity. Cloud Router automatically updates routing tables when new studios or subnets are added, eliminating manual updates and minimizing misconfiguration risks. Automatic failover ensures continuous connectivity in case of network failures, which is critical because downtime can result in missed deadlines, disrupted production schedules, and increased operational costs. Centralized route management enables IT teams to enforce consistent network policies, monitor traffic, and troubleshoot issues across all locations efficiently.

Cloud VPN Classic provides secure, encrypted tunnels over the public internet, but throughput and latency are not guaranteed. VPN routing is mostly static, requiring manual updates when new studios are added. Failover requires redundant tunnels or manual intervention, adding complexity. Scaling VPNs globally introduces operational challenges and may not meet the performance needs of video-heavy workflows.

Cloud Interconnect Dedicated with Cloud Router provides high bandwidth and low latency, with dynamic route propagation. However, it requires managing physical infrastructure across multiple regions, increasing operational overhead and costs. Failover requires careful configuration, and scaling globally may be resource-intensive. While it offers excellent performance, operational effort can be significant.

Manually configured static routes are inefficient and error-prone. Each studio requires individual route configuration, and updates must be applied across all locations whenever network changes occur. Failover is not automatic, and traffic cannot dynamically optimize for performance. This approach does not scale for global media operations.

Cloud Interconnect Partner with Cloud Router is the optimal solution. It provides predictable high throughput for large video transfers, low latency for real-time collaboration, dynamic route propagation, and automatic failover. Partner interconnect removes the need to manage physical infrastructure, while Cloud Router automatically updates routes. Redundant connections ensure uninterrupted connectivity. Centralized management simplifies policy enforcement, monitoring, and troubleshooting. This solution meets all requirements for multinational media connectivity: performance, reliability, scalability, and operational efficiency.

Question 200

A SaaS provider wants to deploy a globally accessible application with a single public IP. Requirements include SSL termination at the edge, routing requests 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 Balancer

Explanation

SaaS providers delivering applications to a global audience require high availability, low latency, and elastic scalability. A single public IP simplifies DNS management and ensures a consistent entry point for all users worldwide. SSL termination at the edge offloads encryption from backend servers, improving performance and reducing latency. Health-based routing ensures requests are directed to the nearest healthy backend, minimizing latency and maximizing user experience. Autoscaling dynamically adjusts backend capacity to handle unpredictable traffic spikes, 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 automatically route traffic to the nearest healthy backend outside the region. Multi-region failover must be configured manually, reducing reliability for globally distributed users. Regional load balancing is suitable for applications with localized traffic but does not meet global SaaS requirements.

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 primarily on HTTP(S) traffic, and edge SSL termination reduces backend CPU load, improves latency, and simplifies certificate management. TCP Proxy alone is insufficient for global SaaS delivery.

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

Question 201

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 highly sensitive patient data, including electronic health records, lab results, and imaging data. Ensuring regulatory compliance with HIPAA and other standards requires that internal applications access Google Cloud managed services over private IPs. Private connectivity avoids exposure to the public internet, reducing the risk of data breaches and ensuring compliance.

Centralized access management allows administrators to enforce consistent policies across multiple teams and services, reducing the risk of misconfiguration and unauthorized access. Supporting multiple service producers enables internal applications to connect to various cloud services without needing separate network configurations for each service, simplifying operations and improving scalability.

VPC Peering with each service provides private connectivity, but does not scale efficiently. Each service requires an individual peering connection, and overlapping IP ranges are unsupported. Centralized access management is limited because policies must be configured separately for each peering connection. Operational complexity increases as the number of services grows, making this approach unsuitable for large healthcare organizations.

Assigning external IPs and using firewall rules exposes services to the public internet. Firewall rules can restrict access, but centralized access management is difficult, and multiple service producers require additional configuration. This method 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 configured, monitored, and maintained independently. Scaling to multiple services is cumbersome, and centralized access management is difficult, increasing administrative overhead.

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 administration. Centralized access management enforces 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, meeting privacy, compliance, and operational requirements for healthcare organizations.

Question 202

A global retail company wants to connect its stores to Google Cloud for real-time inventory updates and sales analytics. Requirements include high throughput for transactional data, low latency for real-time dashboards, 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

Retail companies operate in a highly dynamic environment, where timely access to inventory and sales data is crucial. Thousands of stores across multiple regions generate continuous streams of transactional data, including point-of-sale transactions, stock updates, pricing adjustments, and customer activity. High-throughput connectivity is essential to ensure that this data can flow efficiently to Google Cloud for processing, analytics, and centralized reporting. Without high throughput, data congestion may occur, causing delays in updating dashboards, performing analytics, and managing inventory levels. This can lead to stock discrepancies, delayed reordering, and suboptimal customer experiences.

Low latency is equally critical. Real-time dashboards that display sales trends, inventory levels, and other operational metrics require near-instant updates. A delay in data propagation may cause managers to make decisions based on outdated information, resulting in potential revenue loss or inefficient allocation of resources. Low-latency connectivity ensures that store systems, central analytics platforms, and automated operational processes are synchronized, maintaining accuracy and efficiency in retail operations.

Dynamic route propagation reduces operational complexity. Retail networks are highly dynamic, with new stores opening and network subnets changing frequently. Cloud Router automatically propagates routes, eliminating the need for manual configuration and reducing the risk of misconfigurations that can lead to downtime or routing errors. Automatic failover is also essential. In retail environments, network downtime directly impacts transactional systems, inventory updates, and customer service. Automatic failover ensures that if one link fails, traffic is rerouted seamlessly, maintaining uninterrupted connectivity. Centralized route management enables IT teams to monitor network health, enforce policies consistently across all stores, and streamline troubleshooting.

Cloud VPN Classic offers encrypted connectivity over the public internet. While secure, VPN tunnels generally provide unpredictable throughput and higher latency, which are unsuitable for real-time retail analytics and inventory synchronization. VPNs require static or manually updated routes, which increases operational overhead. Scaling VPNs across hundreds or thousands of stores introduces complexity and management challenges, and failover is often limited or requires additional manual configuration.

Cloud Interconnect Dedicated with Cloud Router provides high throughput and low latency. Cloud Router supports dynamic route propagation. However, a dedicated interconnect requires managing physical infrastructure at multiple locations, which increases operational complexity and cost. Configuring automatic failover may require additional resources, and scaling the solution globally can be challenging. While performance is excellent, the administrative overhead makes it less operationally efficient compared to partner interconnect solutions.

Manually configured static routes are inefficient for large-scale retail networks. Each store requires individual route configuration, and changes to the network require updates at all locations. Failover is not automatic, and traffic cannot dynamically optimize for throughput or latency. This method is not scalable and can lead to significant operational issues in a global retail environment.

Cloud Interconnect Partner with Cloud Router is the optimal solution for this scenario. It provides predictable high throughput for large transactional datasets, low latency for real-time dashboards, dynamic route propagation for simplified management, and automatic failover for uninterrupted operations. Partner interconnect eliminates the need for managing physical infrastructure, while Cloud Router automatically propagates routes across the network. Redundant connections ensure continuous connectivity in the event of link or device failures. Centralized route management allows administrators to monitor traffic, enforce policies, and troubleshoot issues effectively across all stores. This solution meets all requirements for a global retail network, delivering performance, reliability, scalability, and operational efficiency.

Question 203

A SaaS provider wants to deploy a globally accessible application with a single public IP. Requirements include SSL termination at the edge, routing traffic to the nearest healthy backend, and autoscaling for 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 to a global audience must ensure high availability, low latency, and elastic scalability. A single global IP simplifies DNS management and ensures users have a consistent access point worldwide. SSL termination at the edge offloads encryption tasks from backend servers, improving performance and reducing latency. Routing traffic to the nearest healthy backend ensures that users experience the fastest possible response times while maintaining application availability. Autoscaling allows the application to handle sudden traffic spikes without manual intervention, providing consistent performance under varying loads.

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

TCP Proxy Load Balancer operates at 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 use HTTP(S) traffic, and edge SSL termination reduces backend CPU load, improves latency, and simplifies certificate management. TCP Proxy alone is insufficient for global SaaS delivery.

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. SSL termination occurs at the edge, offloading encryption tasks from backend servers. Autoscaling dynamically 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, troubleshooting, and performance analysis.

Question 204

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 electronic health records, lab results, imaging files, and other confidential medical information. Compliance with HIPAA and other regulatory standards requires secure private communication between internal applications and Google Cloud-managed services. Private IP connectivity ensures that sensitive traffic does not traverse the public internet, reducing exposure to potential breaches and ensuring compliance.

Centralized access management allows administrators to enforce consistent policies across multiple teams and services. This reduces the risk of misconfiguration and unauthorized access, which is critical in healthcare environments where regulatory compliance is mandatory. Supporting multiple service producers enables internal applications to access various managed services through a single framework without needing separate network configurations for each service. This reduces administrative complexity and improves scalability.

VPC Peering with each service provides private connectivity, but it 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 configured individually for each peering. Operational complexity increases significantly as the number of services grows, making this approach unsuitable for large healthcare organizations.

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 additional configuration. This approach does not fully meet privacy or 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, simplifying 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, meeting privacy, compliance, and operational requirements for healthcare organizations.

Question 205

A global e-commerce company wants to connect its fulfillment centers to Google Cloud to support inventory management and order processing. Requirements include predictable high throughput for large datasets, low latency for real-time inventory updates, 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

E-commerce companies depend heavily on fast, reliable, and scalable network connectivity to operate their fulfillment centers efficiently. These centers handle large volumes of data related to inventory levels, shipment tracking, order processing, and warehouse management systems. High throughput is essential for transferring large datasets between fulfillment centers and Google Cloud for centralized processing. Without sufficient throughput, delays in updating inventory records, shipping labels, or order confirmations could occur, causing operational inefficiencies and customer dissatisfaction.

Low latency is critical for real-time operations. Fulfillment centers rely on near-instantaneous updates to synchronize stock levels, process orders, and manage pick-and-pack workflows. Any network delay can disrupt order processing, create stock discrepancies, or delay shipping, ultimately affecting the customer experience and revenue.

Dynamic route propagation simplifies network management. Fulfillment centers or cloud subnets may be added, removed, or reconfigured frequently. Cloud Router automatically propagates routes, eliminating manual configuration and reducing the risk of human error that could lead to downtime or misrouted traffic. Automatic failover ensures uninterrupted connectivity. Fulfillment centers must maintain connectivity at all times to prevent operational delays; any downtime can halt order processing and affect service-level agreements. Centralized route management allows IT teams to enforce consistent network policies, monitor traffic, and troubleshoot problems efficiently across multiple locations.

Cloud VPN Classic provides secure connectivity over the public internet. However, VPNs cannot guarantee predictable high throughput or low latency, which are critical for real-time e-commerce operations. Routing is primarily static and must be updated manually when new centers or subnets are added. Failover requires redundant tunnels or manual intervention, increasing operational complexity. Scaling VPNs to a global network of fulfillment centers can be cumbersome and unreliable.

Cloud Interconnect Dedicated with Cloud Router offers high throughput, low latency, and dynamic routing. However, it requires managing physical infrastructure across multiple locations, increasing operational overhead and cost. Automatic failover needs careful planning, and scaling globally may require significant resources. While performance is excellent, the operational effort can be a limiting factor.

Manually configured static routes are inefficient and error-prone for large-scale networks. Each fulfillment center requires individual route configuration, and any changes must be propagated manually to all sites. Failover is not automatic, and traffic cannot dynamically optimize for latency or throughput. This approach does not scale well for global e-commerce operations.

Cloud Interconnect Partner with Cloud Router is the optimal solution. It provides predictable high throughput for large datasets, low latency for real-time inventory and order updates, dynamic route propagation, and automatic failover. Partner interconnect removes the need to manage physical infrastructure, while Cloud Router automatically propagates routes across the network. Redundant connections ensure uninterrupted connectivity if a link or device fails. Centralized route management allows administrators to monitor traffic, enforce policies, and troubleshoot efficiently. This solution meets all requirements for a global e-commerce network: performance, reliability, scalability, and operational efficiency.

Question 206

A SaaS provider wants to deploy a globally accessible application with a single public IP. Requirements include SSL termination at the edge, routing traffic to the nearest healthy backend, and autoscaling for sudden spikes in 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 offering applications to a global user base require high availability, low latency, and the ability to scale elastically in response to fluctuating demand. A single public IP simplifies DNS management, providing users with a consistent entry point worldwide. SSL termination at the edge offloads encryption processing from backend servers, reducing latency and improving application performance. Routing requests to the nearest healthy backend ensures that users experience minimal latency and uninterrupted service. Autoscaling allows the application to handle sudden spikes in user demand without manual intervention, maintaining consistent performance and user satisfaction.

Regional External HTTP(S) Load Balancer distributes traffic within a single region. While it supports SSL termination and autoscaling, it cannot automatically route requests to the nearest healthy backend in a multi-region setup. Multi-region failover must be configured manually, which increases administrative overhead and reduces reliability for globally distributed users. Regional load balancing is appropriate for applications with localized traffic but does not meet global SaaS deployment requirements.

TCP Proxy Load Balancer operates at Layer 4 and supports global routing to healthy backends. However, it lacks Layer 7 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 CPU usage on backends, improves latency, and simplifies certificate management. TCP Proxy alone does not satisfy the global delivery requirements of SaaS applications.

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

Global External HTTP(S) Load Balancer is designed for worldwide traffic. It provides a single global IP, automatically routes requests to the nearest healthy backend, terminates SSL at the edge, and supports autoscaling across multiple regions. Multi-region failover ensures high availability, automatically rerouting traffic if a backend becomes unhealthy. Centralized monitoring and logging facilitate performance analysis, troubleshooting, and operational oversight.

Question 207

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 deal with highly sensitive data, including electronic health records, lab results, imaging data, and confidential patient information. Compliance with HIPAA and other regulatory frameworks mandates private and secure communication between internal applications and cloud-managed services. Private IP connectivity ensures that traffic does not traverse the public internet, minimizing exposure to security risks and maintaining regulatory compliance.

Centralized access management is critical for consistent policy enforcement across teams and services. It reduces the likelihood of misconfigurations and unauthorized access, ensuring compliance and operational security. Supporting multiple service producers allows internal applications to access several managed services without configuring separate network connections for each service, simplifying administration and improving scalability.

VPC Peering with each service provides private connectivity,, but is not scalable. Each service requires an individual peering connection, and overlapping IP ranges are unsupported. Centralized policy enforcement is limited because policies must be applied to each peering individually. This increases operational complexity as the number of services grows, making VPC Peering unsuitable 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 method does not 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 is cumbersome, and centralized access management is difficult, increasing operational overhead.

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 allows consistent policy enforcement across teams. Multi-region support enables seamless scaling without redesigning the network. Integrated logging and monitoring provide auditing capabilities and operational oversight.

Question 208

A global logistics company wants to connect its distribution centers to Google Cloud for real-time package tracking and inventory management. Requirements include high throughput for large datasets, low latency for real-time tracking dashboards, 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 operate complex networks with distribution centers, warehouses, and regional hubs that exchange massive amounts of operational data continuously. This includes package tracking updates, inventory levels, shipping status changes, and real-time operational metrics. Ensuring that this data is transmitted efficiently and reliably to Google Cloud is essential for centralized monitoring, analytics, and operational decision-making. High throughput is critical to accommodate large volumes of data without bottlenecks. If throughput is inadequate, delays in updating dashboards, synchronizing inventory, or processing shipments could occur, potentially disrupting operations and causing errors in delivery management.

Low latency is equally important. Real-time dashboards and tracking systems require near-instantaneous data updates to provide accurate and current information about packages and inventory. Any latency can result in delayed decision-making, inaccurate reporting, and operational inefficiencies. Logistics operators rely on up-to-the-minute information to reroute shipments, manage inventory shortages, and provide customers with timely updates.

Dynamic route propagation simplifies network management in a distributed logistics environment. Distribution centers and cloud subnets may be added, removed, or reconfigured frequently. Cloud Router automatically propagates routes, eliminating manual updates and reducing the risk of human error that could cause downtime or misrouting of critical operational data. Automatic failover ensures continuous connectivity in case a link or network device fails, which is crucial for logistics operations where any downtime can impact shipment processing and customer satisfaction. Centralized route management allows IT teams to monitor network health, enforce consistent policies across all centers, and troubleshoot efficiently.

Cloud VPN Classic provides secure connectivity over the public internet, but it does not guarantee predictable high throughput or low latency, which are critical for logistics operations. VPN tunnels primarily rely on static routing or manual updates, which increase administrative overhead and the likelihood of misconfiguration. Failover requires additional tunnels or manual intervention, adding operational complexity. Scaling VPNs to support multiple distribution centers globally is cumbersome and may not meet performance requirements.

Cloud Interconnect Dedicated with Cloud Router delivers high throughput and low latency with dynamic route propagation. However, it requires managing physical infrastructure at multiple locations, which increases operational effort and costs. Automatic failover requires careful planning and configuration, and scaling globally may demand significant resources. While it provides excellent performance, operational complexity is higher compared to partner interconnect solutions.

Manually configured static routes are inefficient and error-prone for large-scale logistics networks. Each distribution center requires individual route configuration, and any changes must be manually propagated across all locations. Failover is not automatic, and traffic cannot dynamically optimize for latency or throughput. This approach does not scale for global logistics operations and introduces significant operational risks.

Cloud Interconnect Partner with Cloud Router is the optimal solution. It offers predictable high throughput for large datasets, low latency for real-time dashboards, dynamic route propagation, and automatic failover. Partner interconnect eliminates the need to manage physical infrastructure, while Cloud Router automatically propagates routes across the network. Redundant connections ensure uninterrupted connectivity during link or device failures. Centralized route management allows administrators to monitor traffic, enforce consistent policies, and troubleshoot efficiently. This solution meets all requirements for global logistics connectivity, including performance, reliability, scalability, and operational efficiency.

Question 209

A SaaS provider wants to deploy a globally accessible application with a single public IP. Requirements include SSL termination at the edge, routing traffic to the nearest healthy backend, and autoscaling for sudden spikes in 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 a global audience need high availability, low latency, and elastic scalability. A single public IP simplifies DNS management and provides a consistent entry point for users worldwide. SSL termination at the edge offloads encryption from backend servers, reducing latency and improving performance. Routing traffic to the nearest healthy backend ensures that users experience minimal latency and uninterrupted service. Autoscaling allows the application to handle sudden traffic spikes without manual intervention, maintaining consistent performance and user satisfaction.

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 multiple regions. Multi-region failover requires manual configuration, reducing reliability for globally distributed users. Regional load balancing is suitable for localized applications but does not meet global SaaS deployment requirements.

TCP Proxy Load Balancer operates at Layer 4 and can route traffic globally to healthy backends. However, it lacks Layer 7 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 CPU usage, improves latency, and simplifies certificate management. TCP Proxy alone does not satisfy global SaaS delivery requirements.

Internal HTTP(S) Load Balancer is designed for private workloads within a VPC. It does not provide a public IP and cannot serve globally accessible applications. SSL termination and autoscaling capabilities are limited to internal workloads, making it unsuitable for public 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. SSL termination occurs at the edge, offloading encryption tasks from backend servers. Autoscaling dynamically 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 monitoring and logging simplify operational oversight, troubleshooting, and performance analysis.

Question 210

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 electronic health records, lab results, imaging data, and confidential medical information. Compliance with HIPAA and other regulatory standards mandates private and secure communication between internal applications and cloud-managed services. Private IP connectivity ensures that traffic does not traverse the public internet, minimizing exposure to potential breaches and maintaining regulatory compliance.

VPC Peering with each service provides private connectivity,ty but is not scalable. Each service requires an individual peering connection, and overlapping IP ranges are unsupported. Centralized policy enforcement is limited because policies must be applied individually for each peering. Operational complexity increases significantly as the number of services grows, making VPC Peering unsuitable for large healthcare organizations.

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

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 policy enforcement across teams. Multi-region support enables seamless scaling without redesigning the network. Integrated logging and monitoring provide auditing capabilities and operational oversight.

Google Professional Cloud Network Engineer Exam Dumps and Practice Test Questions Set 14 Q196-21

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