Google Professional Cloud Network Engineer Exam Dumps and Practice Test Questions Set 10 Q136-150

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Question 136

A global logistics company wants to securely connect multiple distribution centers to Google Cloud. Requirements include predictable high throughput, low latency, dynamic route propagation, automatic failover, and centralized route management. Which solution should they implement?

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 operations require highly reliable and performant connectivity between distribution centers and cloud-based applications such as inventory tracking, shipment routing, and warehouse management systems. Predictable high throughput is essential to transfer large datasets, including shipment manifests, order updates, and IoT sensor data, especially during peak operational periods. Low latency ensures real-time monitoring and decision-making, which is critical for route optimization and supply chain efficiency. Dynamic route propagation reduces manual configuration effort, enabling rapid deployment of new distribution centers or network subnets. Automatic failover ensures continuous connectivity in the event of link or device failures, while centralized route management provides consistent monitoring, auditing, and policy enforcement across all locations.

Cloud VPN Classic provides secure IPsec tunnels over the public internet. While it ensures encryption, VPNs cannot guarantee predictable throughput or low latency due to variable internet conditions. Routing is primarily static, requiring manual updates for each distribution center. Failover is either manual or requires multiple redundant tunnels, increasing operational complexity. As the number of distribution centers grows, VPNs become inefficient and error-prone, making them unsuitable for large-scale logistics networks.

Cloud Interconnect Dedicated with Cloud Router offers private high-bandwidth connections with low latency. Cloud Router enables dynamic route propagation, reducing manual configuration. However, a dedicated interconnect requires managing physical infrastructure, which can be complex for multiple global locations. Automatic failover must be carefully configured across regions, increasing operational overhead. While a dedicated interconnect provides excellent performance, the complexity of managing it at scale can reduce operational efficiency compared to partner-managed solutions.

Manually configured static routes are highly inefficient. Each distribution center requires individual route configurations, and any network changes necessitate updates across all sites. Failover is not automated, and traffic cannot dynamically adjust for optimal performance. Operational complexity and error risk increase significantly as the network scales, making static routes impractical for global logistics operations.

Cloud Interconnect Partner with Cloud Router provides high throughput, low latency, dynamic route propagation, automatic failover, and centralized management. Partner interconnect ensures reliable connectivity without the company managing physical infrastructure. Cloud Router automatically propagates routes, reducing administrative effort. Redundant connections provide automatic failover, ensuring continuous operations in case of link or device failures. Centralized monitoring and management simplify auditing, policy enforcement, and operational oversight. This solution addresses all requirements: predictable bandwidth, low latency, dynamic routing, failover automation, and centralized control, making it the ideal choice for connecting multiple distribution centers to Google Cloud securely and efficiently.

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

Question 137

A SaaS provider 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 variable traffic. Which load balancer is most suitable?

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

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

Explanation

Global SaaS applications require low-latency access, high availability, and dynamic scalability to accommodate varying user demand. A single global IP simplifies client access and DNS management. SSL termination at the edge offloads encryption processing from backend servers, reducing latency and resource usage. Health-based routing ensures traffic is directed to the nearest healthy backend, minimizing downtime and improving user experience. Autoscaling is necessary to handle traffic spikes efficiently without manual intervention. Evaluating Google Cloud load balancing options highlights the most appropriate solution.

Regional external HTTP(S) load balancing distributes traffic within a single region and supports SSL termination and autoscaling. However, users outside the region experience increased latency because traffic cannot route automatically to the nearest healthy backend in other regions. Multi-region failover is not automatic, reducing reliability for global users. While regional load balancing works for localized deployments, it does not satisfy global SaaS application requirements.

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

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

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

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

Question 138

A healthcare organization needs its internal applications to access multiple Google Cloud managed services privately. Requirements include private IP connectivity, centralized access control, 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 must comply with strict privacy and regulatory standards while maintaining operational efficiency. Internal applications require private connectivity to Google Cloud managed services to prevent exposure over the public internet. Private IP connectivity is essential to isolate sensitive healthcare data. Centralized access control is necessary for consistent policy enforcement, ensuring compliance with regulations such as HIPAA. Support for multiple service producers reduces administrative complexity and simplifies network management for large healthcare environments. Evaluating connectivity options identifies the most suitable solution.

VPC Peering with each service provides private connectivity,, but does not scale efficiently for multiple services. Each managed service requires a separate peering connection. Overlapping IP ranges are unsupported, and centralized access control is limited because policies must be applied individually per peering. Operational complexity increases significantly as the number of services grows, making this approach impractical for healthcare organizations with multiple service dependencies.

Assigning external IPs and using firewall rules exposes services to the public internet, even if access is 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 method does not fully meet healthcare privacy and regulatory 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 difficult because each VPN is independent. Operational complexity and administrative burden increase significantly without efficient scalability.

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, support for multiple service producers, and regulatory compliance, Private Service Connect is the optimal solution for healthcare organizations accessing multiple Google Cloud managed services securely.

Question 139

A global media company wants to connect multiple production studios to Google Cloud. Requirements include predictable high throughput, low latency, 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

Media companies produce and transfer large amounts of digital content, including video, audio, and graphics. Predictable high throughput is critical for transferring raw media files, live-stream feeds, and high-resolution content efficiently. Low latency is essential to maintain synchronization between production teams and real-time editing workflows. Dynamic route propagation reduces the need for manual configuration as new studios or subnets are added. Automatic failover ensures uninterrupted operations in case of link or device failure, while centralized route management provides consistent monitoring, logging, and policy enforcement across all locations.

Cloud VPN Classic provides secure IPsec tunnels over the public internet. While secure, VPNs cannot guarantee predictable throughput or low latency because performance depends on variable internet conditions. Routing is mainly static and requires manual updates for each studio. Failover is either manual or requires multiple redundant tunnels, and scaling VPNs for multiple global studios introduces high operational complexity. VPNs are therefore unsuitable for high-volume media workflows.

Cloud Interconnect Dedicated with Cloud Router offers private high-bandwidth connections and low latency. Cloud Router supports dynamic route propagation, reducing manual updates. Howevera , a dedicated interconnect requires managing physical infrastructure across multiple regions. Automatic failover must be carefully configured, and operational complexity grows with global deployment. While performance is excellent, the operational overhead is higher compared to partner-managed options.

Manually configured static routes are highly inefficient. Each studio requires individual route configurations, and network changes necessitate updates across all locations. Failover is not automated, and traffic cannot dynamically adjust for optimal performance. Operational complexity and risk of errors increase significantly as the network scales, making static routes impractical for media workflows.

Cloud Interconnect Partner with Cloud Router delivers high throughput, low latency, dynamic route propagation, automatic failover, and centralized management. Partner interconnect ensures reliable performance without managing physical infrastructure. Cloud Router automatically propagates routes, reducing administrative effort. Redundant connections provide automatic failover, ensuring continuous operations during link or device failures. Centralized management simplifies monitoring, logging, auditing, and policy enforcement. This solution addresses all requirements for a media company: predictable bandwidth, low latency, dynamic routing, failover automation, and centralized control, making it ideal for connecting multiple production studios to Google Cloud securely and efficiently.

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

Question 140

A SaaS provider 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 manage variable traffic loads. Which load balancer should they deploy?

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

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

Explanation

Global SaaS applications require low-latency access, high availability, and the ability to scale automatically to handle fluctuating traffic. A single global IP simplifies DNS management and client connectivity. SSL termination at the edge offloads encryption processing from backend servers, improving latency and reducing resource consumption. Health-based routing ensures users are directed to the nearest healthy backend, minimizing downtime and improving user experience. Autoscaling allows dynamic adjustment of backend resources to meet traffic surges efficiently.

Regional external HTTP(S) load balancing distributes traffic within a single region and supports SSL termination and autoscaling. However, users outside the region may experience higher latency because traffic cannot route automatically to the nearest backend in other regions. Multi-region failover is not automatic, reducing reliability for global users. Regional load balancing is suitable for localized deployments but does not satisfy global SaaS application requirements.

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

Global external HTTP(S) load balancing provides a single public IP address accessible worldwide. Traffic is automatically routed to the nearest healthy backend, reducing latency. SSL termination occurs at the edge, decreasing backend processing requirements. Autoscaling dynamically adjusts backend capacity across regions, ensuring uninterrupted service during traffic surges. Multi-region failover ensures high availability; if a backend in one region fails, traffic automatically reroutes to the nearest healthy backend. Centralized monitoring and logging enable operational oversight, performance optimization, and troubleshooting. This solution meets all requirements for global SaaS deployments: low-latency access, edge SSL termination, health-based routing, and autoscaling for variable traffic.

Question 141

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 regulatory compliance while maintaining operational efficiency. Internal applications require private connectivity to Google Cloud-managed services to prevent exposure to the public internet. Private IP connectivity isolates sensitive healthcare data. Centralized access control enables consistent policy enforcement across teams, ensuring compliance with regulations like HIPAA. Support for multiple service producers reduces administrative overhead and simplifies network management for large healthcare environments.

VPC Peering with each service provides private connectivity, but does not scale efficiently for multiple services. Each managed service requires a separate peering connection. Overlapping IP ranges are unsupported, and centralized access control is limited because policies must be applied individually per peering. Operational complexity increases significantly as the number of services grows, making this approach impractical for healthcare organizations with multiple service dependencies.

Assigning external IPs and using firewall rules exposes services to the public internet, even if access is restricted. Firewall rules can limit connections to authorized users, but centralized access management is difficult. Supporting multiple service producers requires separate configurations, increasing administrative overhead. This approach does not fully meet healthcare privacy and regulatory 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 difficult because each VPN operates independently. Operational complexity and administrative burden increase significantly without efficient scalability.

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 142

A multinational retail company wants to connect multiple regional warehouses to Google Cloud. Requirements include high throughput, low latency, dynamic route propagation, automatic failover, and centralized route management. Which solution should they implement?

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

Explanatio

Retail companies operate on a global scale, relying heavily on cloud-based applications for inventory management, order processing, and demand forecasting. High throughput is essential to transfer large amounts of operational data, such as real-time stock updates, shipment tracking, and predictive analytics. Low latency is crucial for time-sensitive operations, especially when synchronizing inventory across multiple warehouses or integrating point-of-sale systems. Dynamic route propagation reduces administrative overhead, automatically updating routing tables when new warehouses or subnets are added. Automatic failover ensures connectivity continuity if a link or device fails, and centralized route management allows consistent monitoring, logging, and policy enforcement across all locations.

Cloud VPN Classic provides secure IPsec tunnels over the public internet. While encryption ensures data security, VPNs cannot guarantee predictable throughput or low latency due to variable internet conditions. Routing is mostly static, requiring manual updates for each warehouse. Failover is either manual or requires multiple redundant tunnels. Scaling VPNs for multiple regional locations significantly increases operational complexity, making it impractical for multinational retail operations.

Cloud Interconnect Dedicated with Cloud Router delivers private, high-bandwidth connections with low latency. Cloud Router allows dynamic route propagation, reducing manual configuration. However,a a dedicated interconnect requires management of physical infrastructure, which increases operational overhead when connecting multiple global warehouses. Automatic failover requires careful configuration across regions, adding complexity. Although performance is excellent, managing dedicated links across numerous locations is operationally demanding.

Manually configured static routes are highly inefficient. Each warehouse requires individual route configurations, and any network change necessitates updates across all locations. Failover is not automated, and traffic cannot dynamically adjust to optimize performance. Operational complexity and error risk grow significantly as the network expands, making static routes unsuitable for multinational retail networks.

Cloud Interconnect Partner with Cloud Router provides high throughput, low latency, dynamic route propagation, automatic failover, and centralized management. Partner interconnect ensures reliable connectivity without requiring the organization to manage physical infrastructure. Cloud Router automatically propagates routes, minimizing administrative effort. Redundant connections deliver automatic failover, ensuring continuous operations during link or device failures. Centralized management simplifies monitoring, logging, auditing, and policy enforcement. This solution meets all operational requirements for connecting multiple regional warehouses to Google Cloud: predictable bandwidth, low latency, dynamic routing, failover automation, and centralized control. It is the optimal choice for global retail operations.

Question 143

A SaaS company wants to deliver its application globally with a single public endpoint. Requirements include SSL termination at the edge, health-based routing to the nearest healthy backend, and autoscaling to handle unpredictable traffic surges. Which load balancer is best suited for this scenario?

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 fast, reliable, and highly available services to users worldwide. A single global IP simplifies DNS and client configurations. SSL termination at the edge offloads encryption processing from backends, reducing latency and improving performance. Health-based routing ensures traffic is directed to the nearest healthy backend, improving user experience and reliability. Autoscaling dynamically adjusts backend resources to accommodate fluctuating traffic, preventing service degradation during spikes.

Regional external HTTP(S) load balancing distributes traffic within a single region. It supports SSL termination and autoscaling,, but does not automatically route traffic to the nearest healthy backend outside its region. Users in other regions may experience higher latency. Multi-region failover is not automatic, reducing availability for global SaaS deployments. While regional HTTP(S) load balancing is suitable for localized services, it does not meet global application requirements.

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) content-based routing. SaaS applications rely heavily on HTTP(S), and offloading SSL at the edge reduces backend load and latency. TCP Proxy cannot satisfy these application-layer needs.

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 this option unsuitable for public-facing SaaS applications.

Global external HTTP(S) load balancing provides a single public IP accessible worldwide. Traffic is automatically routed to the nearest healthy backend, minimizing latency. SSL termination occurs at the edge, improving performance. Autoscaling adjusts backend capacity dynamically across regions, handling unpredictable surges. Multi-region failover ensures high availability, automatically rerouting traffic if a backend fails. Centralized monitoring and logging allow operational oversight, performance analysis, and troubleshooting. This solution meets all requirements for global SaaS delivery: low latency, edge SSL termination, health-based routing, and autoscaling for variable traffic.

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

Question 144

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 must maintain strict privacy and regulatory compliance while ensuring operational efficiency. Internal applications require private connectivity to Google Cloud managed services to avoid exposure over the public internet. Private IP connectivity isolates sensitive healthcare data, while centralized access management enforces consistent policies across teams. Support for multiple service producers reduces administrative overhead and simplifies network management, especially in large organizations with numerous teams and services.

VPC Peering with each service provides private connectivity, but does not scale efficiently for multiple services. Each managed service requires a separate peering connection. Overlapping IP ranges are not supported, and centralized access control is limited because policies must be applied individually per peering. Operational complexity increases significantly as the number of services grows, making this approach impractical for healthcare organizations with multiple service dependencies.

Assigning external IPs and using firewall rules exposes services to the public internet, even if access is restricted. Firewall rules can limit connections to authorized users, but centralized access management is difficult. Supporting multiple service producers requires separate configurations, which increases administrative overhead. This approach does not fully meet 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 efficient scalability.

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 145

A financial services company wants to connect its global data centers to Google Cloud. Requirements include predictable high throughput, low latency, dynamic route propagation, automatic failover, and centralized route management. Which solution is most appropriate?

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

Correct Answer: C) Cloud Interconnect Partner with Cloud Router

Explanation

Financial services organizations operate in a highly regulated and latency-sensitive environment. They require reliable and high-performance network connections to transfer transactional data, market feeds, and analytical datasets between global data centers and Google Cloud. Predictable high throughput ensures the rapid transfer of large dataset,s including real-time trade information, risk analysis data, and historical financial records. Low latency is essential to meet strict market requirements for real-time trading, fraud detection, and customer experience. Dynamic route propagation reduces administrative overhead by automatically updating routes when new data centers or subnets are added, allowing rapid scaling without manual intervention. Automatic failover guarantees uninterrupted connectivity in case of network link or device failure, and centralized route management provides consistent monitoring, logging, and policy enforcement across all sites, which is crucial for compliance with financial regulations such as PCI DSS.

Cloud VPN Classic provides secure IPsec tunnels over the public internet. While VPN ensures encryption, it cannot provide predictable throughput or low latency because performance depends on internet variability. Routing is primarily static, requiring manual updates for each data center. Failover is either manual or requires multiple redundant tunnels, which complicates operational management. Scaling VPNs to a global network of financial data centers increases complexity and the potential for misconfiguration, making VPNs unsuitable for mission-critical, high-volume financial operations.

Cloud Interconnect Dedicated with Cloud Router offers private high-bandwidth connections with low latency. Cloud Router enables dynamic route propagation, reducing manual configuration. However, a dedicated interconnect requires management of physical infrastructure across regions. Automatic failover must be carefully configured, and operational complexity increases with the number of global sites. While performance is excellent, a dedicated interconnect requires more administrative effort than partner-managed solutions.

Manually configured static routes are inefficient and error-prone. Each data center requires separate route configurations, and any network changes necessitate updates across all sites. Failover is not automated, and traffic cannot dynamically adapt for optimal performance. Operational complexity and risk of misconfiguration grow significantly as the network scales, making static routes impractical for global financial services networks.

Cloud Interconnect Partner with Cloud Router delivers high throughput, low latency, dynamic route propagation, automatic failover, and centralized route management. Partner interconnect ensures reliable connectivity without requiring the company to manage physical infrastructure. Cloud Router automatically propagates routes, reducing administrative effort. Redundant connections provide automatic failover, ensuring continuous operations during network failures. Centralized monitoring and management simplify auditing, policy enforcement, and operational oversight. This solution meets all critical requirements for connecting global financial data centers to Google Cloud: predictable bandwidth, low latency, dynamic routing, failover automation, and centralized control.

Considering throughput, latency, failover, scalability, and operational efficiency, Cloud Interconnect Partner with Cloud Router is the optimal solution for financial services organizations connecting multiple global data centers to Google Cloud securely and efficiently.

Question 146

A SaaS provider wants to deliver its application globally with a single public endpoint. Requirements include SSL termination at the edge, health-based routing to the nearest healthy backend, and autoscaling for unpredictable traffic. Which load balancer is best suited for this scenario?

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 the ability to scale automatically to accommodate varying user demand. A single global IP simplifies client configuration and DNS management. SSL termination at the edge offloads encryption processing from backend servers, reducing latency and enhancing performance. Health-based routing directs users to the nearest healthy backend, improving reliability and user experience. Autoscaling adjusts backend capacity dynamically to handle traffic surges efficiently without manual intervention.

Regional external HTTP(S) load balancing distributes traffic within a single region and supports SSL termination and autoscaling. However, users outside the region experience higher latency since traffic cannot automatically route to the nearest healthy backend in other regions. Multi-region failover is not automatic, reducing reliability for globally distributed SaaS applications. While regional HTTP(S) load balancing works for localized services, it is insufficient for global deployments.

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), and offloading SSL at the edge reduces backend load, improves latency, and simplifies certificate management. TCP Proxy alone cannot meet these application-layer requirements.

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

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

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

Question 147

A healthcare organization needs to allow 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 is recommended?

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 maintain strict privacy and regulatory compliance while enabling 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. Centralized access management ensures consistent policy enforcement across teams, which is crucial for HIPAA and other regulatory compliance. Supporting multiple service producers reduces administrative complexity and simplifies network management for large healthcare organizations with numerous services and teams.

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

Assigning external IPs and using firewall rules exposes services to the public internet, even if access is 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 method does not fully satisfy healthcare privacy and regulatory 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 difficult because each VPN operates independently. Operational complexity and administrative burden increase significantly without efficient scalability.

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.

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

Question 148

A global logistics company wants to connect multiple regional hubs to Google Cloud. Requirements include high throughput, low latency, dynamic route propagation, automatic failover, and centralized route management. Which solution is most appropriate?

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

Correct Answer: C) Cloud Interconnect Partner with Cloud Router

Explanation

Logistics companies rely on fast, reliable, and scalable connectivity for operational efficiency. They transfer a large datasets,including shipment manifests, inventory updates, vehicle tracking data, and predictive analytics, to Google Cloud. High throughput ensures that these large datasets are transferred efficiently, even during peak operational periods, without creating bottlenecks. Low latency is essential for real-time operations such as fleet management, dynamic routing, and warehouse inventory updates. Dynamic route propagation reduces the need for manual updates when new regional hubs are added, allowing the network to scale rapidly. Automatic failover ensures continuity of operations in the event of a link or device failure. Centralized route management allows administrators to monitor, audit, and enforce routing policies consistently across all hubs, which is critical for operational oversight.

Cloud VPN Classic provides secure IPsec tunnels over the public internet. While secure, VPN connections cannot provide predictable throughput or low latency because performance is subject to internet variability. Routing is primarily static and requires manual configuration for each hub. Failover is either manual or requires multiple redundant tunnels. Scaling VPN connections across multiple regions introduces high operational complexity, making it unsuitable for large, global logistics networks.

Cloud Interconnect Dedicated with Cloud Router offers private high-bandwidth connectivity with low latency. Cloud Router enables dynamic route propagation, reducing manual configuration. However, a dedicated interconnect requires the organization to manage physical infrastructure in multiple regions. Automatic failover must be carefully configured, which adds operational complexity. While performance is excellent, managing dedicated links across numerous locations is operationally intensive and less flexible than partner-managed solutions.

Manually configured static routes are inefficient for global logistics networks. Each hub requires individual route configurations, and any network changes necessitate updates across all hubs. Failover is not automated, and traffic cannot dynamically adjust to optimize performance. The operational overhead and risk of misconfiguration increase significantly as the network grows, making static routes impractical for large-scale logistics operations.

Cloud Interconnect Partner with Cloud Router delivers high throughput, low latency, dynamic route propagation, automatic failover, and centralized route management. Partner interconnect ensures reliable connectivity without the company managing physical infrastructure. Cloud Router automatically propagates routes, minimizing administrative effort. Redundant connections provide automatic failover to maintain operations during link or device failures. Centralized management simplifies monitoring, logging, auditing, and policy enforcement. This solution satisfies all operational requirements for connecting multiple regional hubs to Google Cloud: predictable bandwidth, low latency, dynamic routing, failover automation, and centralized control.

Question 149

A SaaS provider 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 fluctuating traffic loads. Which load balancer is most suitable?

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

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

Explanation

Global SaaS applications require low-latency access, high availability, and scalability to handle varying traffic patterns. A single global IP simplifies DNS configuration and client access. SSL termination at the edge offloads encryption from backend servers, reducing latency and resource utilization. Health-based routing directs users to the nearest healthy backend, improving reliability and minimizing downtime. Autoscaling dynamically adjusts backend capacity to handle traffic surges efficiently.

Regional external HTTP(S) load balancing distributes traffic within a single region and supports SSL termination and autoscaling. However, traffic from users outside the region may experience higher latency because regional load balancing does not automatically route traffic to the nearest healthy backend in other regions. Multi-region failover is not automatic, reducing reliability for globally distributed users. While regional HTTP(S) load balancing is suitable for localized services, it does not meet the requirements of global SaaS applications.

TCP Proxy Load Balancing operates at the TCP 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 on HTTP(S) traffic, and edge SSL termination improves latency, reduces backend load, and simplifies certificate management. TCP Proxy alone does not satisfy these requirements.

Internal HTTP(S) load balancing is designed for private workloads within a VPC. It does not provide a public IP address and cannot route traffic globally. 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 public IP accessible worldwide. Traffic is automatically routed to the nearest healthy backend, minimizing latency. SSL termination occurs at the edge, improving performance. 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 provide operational oversight, performance analysis, and troubleshooting capabilities. This solution meets all requirements for global SaaS delivery: low-latency access, edge SSL termination, health-based routing, and autoscaling for fluctuating traffic.

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

Question 150

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 maintain strict privacy and comply with regulatory requirements while ensuring operational efficiency. Internal applications require private connectivity to Google Cloud managed services to avoid exposure to the public internet. Private IP connectivity isolates sensitive healthcare data. Centralized access management allows consistent policy enforcement across teams, which is essential for HIPAA and other regulations. Support for multiple service producers reduces administrative overhead and simplifies network management, especially in large healthcare environments with many teams and service dependencies.

VPC Peering with each service provides private connectivity, but does not scale efficiently for multiple services. Each service requires a separate peering connection. Overlapping IP ranges are unsupported, and centralized access control is limited because policies must be applied individually per peering connection. Operational complexity increases significantly as the number of services grows, making this approach impractical.

Assigning external IPs and using firewall rules exposes services to the public internet, even if restricted by firewall rules. While it is possible to limit 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 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 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 10 Q136-150

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