Google Professional Cloud Network Engineer Exam Dumps and Practice Test Questions Set 11 Q151-165

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Question 151

A multinational e-commerce company wants to connect multiple regional fulfillment centers 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

E-commerce companies operate in highly time-sensitive environments where inventory synchronization, order processing, and shipping updates are critical. Connecting multiple regional fulfillment centers to Google Cloud requires high-performance networking to ensure that large datasets—such as real-time inventory levels, customer orders, and shipping manifests—can be transmitted efficiently and reliably. Predictable high throughput is essential for transferring these data volumes, particularly during peak periods like holiday sales. Low latency ensures operational efficiency and supports real-time monitoring and decision-making across the fulfillment network. Dynamic route propagation is crucial for scaling operations; as new fulfillment centers are added, routes are automatically updated without requiring manual intervention. Automatic failover ensures continuous operations in case of link or device failures. Centralized route management provides consistent monitoring, logging, and policy enforcement across all sites, which is essential for operational oversight and regulatory compliance.

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 internet variability. Routing is primarily static and requires manual updates whenever a new fulfillment center is added. Failover is either manual or requires multiple redundant tunnels. Scaling VPNs across multiple regions introduces significant operational complexity, making them unsuitable for global e-commerce networks.

Cloud Interconnect Dedicated with Cloud Router provides 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, and operational complexity increases with each additional fulfillment center. While performance is excellent, managing dedicated links globally is operationally intensive compared to partner-managed solutions.

Manually configured static routes are inefficient for large-scale e-commerce operations. Each fulfillment center requires separate route configurations, and any network changes require manual updates across all sites. Failover is not automated, and traffic cannot dynamically adjust for optimal performance. Operational complexity and risk of misconfiguration grow exponentially as the network scales, making static routes impractical.

Cloud Interconnect Partner with Cloud Router offers high throughput, low latency, dynamic route propagation, automatic failover, and centralized management. Partner interconnect provides reliable connectivity without requiring the company to manage physical infrastructure. Cloud Router automatically propagates routes, minimizing administrative overhead. Redundant connections provide automatic failover to maintain operations during link or device failures. Centralized management simplifies monitoring, logging, auditing, and policy enforcement. This solution meets all operational requirements for connecting multiple fulfillment 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 multinational e-commerce companies connecting regional fulfillment centers to Google Cloud.

Question 152

A SaaS company wants to deliver its application globally using a single public endpoint. Requirements include SSL termination at the edge, health-based routing to the nearest healthy backend, and autoscaling to handle variable 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 require low-latency access, high availability, and scalability to handle variable traffic. A single global IP simplifies DNS and client access. SSL termination at the edge offloads encryption from backend servers, reducing latency and resource consumption. Health-based routing ensures traffic is directed to the nearest healthy backend, improving user experience and reliability. Autoscaling dynamically adjusts backend resources to handle traffic spikes efficiently, preventing service degradation.

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 because traffic cannot automatically route 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 works for localized services, it is insufficient for global SaaS deployments.

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 heavily on HTTP(S), and edge SSL termination improves latency, reduces backend load, and simplifies certificate management. TCP Proxy alone does not satisfy 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, improving performance and reducing backend resource load. Autoscaling dynamically adjusts backend capacity across multiple regions, ensuring uninterrupted service during traffic surges. Multi-region failover guarantees high availability by automatically rerouting traffic if a backend fails. Centralized monitoring and logging simplify operational oversight, performance analysis, and troubleshooting. This solution meets all requirements for global SaaS delivery: low-latency access, edge SSL termination, health-based routing, and autoscaling for 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 153

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 is most appropriate?

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 avoid exposure to the public internet. Private IP connectivity isolates sensitive healthcare data. Centralized access management ensures consistent policy enforcement across teams, which is essential for HIPAA and other regulatory compliance. Supporting multiple service producers reduces administrative overhead and simplifies network management, particularly in large healthcare organizations with multiple 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 for large healthcare organizations.

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 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 difficult 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.

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 154

A global media company wants to connect its production studios to Google Cloud. Requirements include predictable high throughput, low latency, dynamic route propagation, automatic failover, and centralized route management. Which solution should be implemented?

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

Correct Answer: C) Cloud Interconnect Partner with Cloud Router

Explanation

Media companies deal with large volumes of digital content, including raw video, audio, and graphics files. Connecting production studios to Google Cloud requires high-performance networking to ensure smooth content transfer and real-time collaboration. Predictable high throughput is essential for transferring large media files efficiently, particularly for 4K or 8K video content. Low latency is critical for time-sensitive tasks such as live editing, remote production coordination, and content streaming. Dynamic route propagation is needed so that new studios or subnets can be added without manually updating each route, saving significant administrative effort. Automatic failover ensures that operations continue uninterrupted in case of link or device failure, preventing costly downtime. Centralized route management provides a single pane of visibility, simplifies monitoring, and ensures consistent policy enforcement across all studios.

Cloud VPN Classic provides secure IPsec tunnels over the public internet. While it ensures encryption, it cannot guarantee predictable throughput or low latency due to dependence on the internet performance. Routing is mostly static and must be manually updated for each studio or subnet. Failover is manual unless multiple redundant tunnels are configured. Scaling VPNs to support multiple global studios introduces operational complexity and is not suitable for media workflows requiring high reliability and performance.

Cloud Interconnect Dedicated with Cloud Router offers private, high-bandwidth connections with low latency. Cloud Router enables dynamic route propagation, reducing the need for manual updates. However, a dedicated interconnect requires managing physical infrastructure across regions. Automatic failover must be configured carefully, and operational complexity increases when connecting multiple production studios globally. Although performance is excellent, managing dedicated links across multiple locations adds administrative overhead.

Manually configured static routes are highly inefficient for a global media network. Each studio requires individual route configurations, and any network change requires updates across all locations. Failover is not automated, and traffic cannot dynamically adapt to optimize performance. Operational complexity and risk of misconfiguration increase significantly as the network scales, making static routes impractical for media 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 requiring the company to manage physical infrastructure. Cloud Router automatically propagates routes, reducing administrative overhead. Redundant connections provide automatic failover, ensuring continuous operations during link or device failures. Centralized management simplifies monitoring, logging, auditing, and policy enforcement. This solution meets all requirements for connecting multiple production studios 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 a global media company connecting production studios to Google Cloud securely and efficiently.

Question 155

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 user traffic. Which load balancer should be deployed?

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

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

Explanation

Global SaaS applications require low-latency access, high availability, and dynamic scaling to accommodate unpredictable traffic patterns. A single global IP simplifies DNS configuration and client connectivity. SSL termination at the edge offloads encryption processing from backend servers, reducing latency and improving performance. Health-based routing ensures traffic is directed to the nearest healthy backend, minimizing downtime and improving user experience. Autoscaling dynamically adjusts backend capacity to handle traffic surges, maintaining performance without manual intervention.

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 since regional load balancing cannot automatically route traffic to the nearest healthy backend in other regions. Multi-region failover is not automatic, which reduces reliability for globally distributed users. Regional load balancing is suitable for localized services but does not meet global SaaS 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 SSL termination at the edge and HTTP(S)-specific routing. SaaS applications rely heavily on HTTP(S) traffic, and edge SSL termination reduces backend load, improves latency, and simplifies certificate management. TCP Proxy alone cannot satisfy 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 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 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 by automatically rerouting traffic if a backend fails. Centralized monitoring and logging simplify operational oversight, performance analysis, and troubleshooting. This solution meets all requirements for global SaaS delivery: low-latency access, edge SSL termination, health-based routing, and autoscaling for 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 choice for SaaS providers delivering applications worldwide.

Question 156

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

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

Correct Answer: B) Private Service Connect endpoints

Explanatio

Healthcare organizations must maintain privacy and comply with strict regulations while ensuring operational efficiency. Internal applications require private connectivity to Google Cloud managed services to prevent exposure over the public internet. Private IP connectivity isolates sensitive healthcare data, which is critical for regulatory compliance, such as HIPAA. Centralized access management allows consistent policy enforcement across teams, reducing the risk of misconfiguration or unauthorized access. Supporting multiple service producers simplifies network management in 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. 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 access is restricted by firewalls. While access can be limited 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 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 challenging because each VPN operates independently. Operational complexity and administrative burden increase significantly without scalable management.

Question 157

A global fintech company wants to connect multiple regional offices 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

Global fintech companies operate in a latency-sensitive and highly regulated environment. They require reliable, high-performance network connections to transfer critical financial data, including real-time transactions, market feeds, analytics, and customer information. Predictable high throughput ensures large datasets are transferred efficiently, even during peak operational periods, without creating bottlenecks. Low latency is essential to maintain real-time transaction accuracy and to support latency-sensitive applications such as trading platforms and fraud detection. Dynamic route propagation reduces operational overhead by automatically updating routing tables when new regional offices or subnets are added, enabling rapid expansion without manual configuration. Automatic failover guarantees connectivity continuity if a link or device fails, reducing downtime and operational risk. Centralized route management allows consistent monitoring, logging, and policy enforcement across all sites, which is essential for compliance with financial regulations.

Cloud VPN Classic provides secure IPsec tunnels over the public internet. While encryption ensures security, VPNs cannot provide predictable throughput or low latency due to variable internet conditions. Routing is primarily static, requiring manual updates for each regional office. Failover is either manual or requires multiple redundant tunnels. Scaling VPNs for multiple global offices significantly increases operational complexity, making VPNs unsuitable for mission-critical financial operations.

Cloud Interconnect Dedicated with Cloud Router offers private, high-bandwidth connections with low latency. Cloud Router allows dynamic route propagation, reducing administrative effort. However, a dedicated interconnect requires management of physical infrastructure across regions, which increases operational complexity. Automatic failover must be carefully configured, and managing multiple dedicated links for a global network can be labor-intensive. While performance is excellent, operational overhead is higher compared to partner-managed solutions.

Manually configured static routes are inefficient and error-prone. Each regional office requires individual route configurations, and any network change necessitates updates across all locations. Failover is not automated, and traffic cannot dynamically adjust for optimal performance. Operational complexity and the risk of misconfiguration increase significantly as the network scales, making static routes impractical for global fintech operations.

Cloud Interconnect Partner with Cloud Router delivers high throughput, low latency, dynamic route propagation, automatic failover, and centralized route management. Partner interconnect provides reliable connectivity without requiring the company to manage physical infrastructure. Cloud Router automatically propagates routes, minimizing 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 multiple regional offices 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 global fintech companies connecting multiple regional offices to Google Cloud.

Question 158

A SaaS company wants to deliver its application globally using a single public endpoint. Requirements include SSL termination at the edge, health-based routing to the nearest healthy backend, and autoscaling for variable 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

SaaS applications with a global user base require low-latency access, high availability, and dynamic scaling to handle variable traffic. A single global IP simplifies DNS management and client connectivity. SSL termination at the edge offloads encryption from backend servers, improving performance and reducing resource consumption. Health-based routing ensures users are connected to the nearest healthy backend, minimizing downtime and enhancing user experience. Autoscaling dynamically adjusts backend resources to handle traffic surges efficiently, preventing service degradation.

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

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

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 spikes. Multi-region failover guarantees high availability by automatically rerouting traffic if a backend fails. Centralized monitoring and logging simplify operational oversight, performance analysis, and troubleshooting. This solution meets all requirements for global SaaS delivery: low-latency access, edge SSL termination, health-based routing, and autoscaling for variable traffic.

Question 159

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 operate under strict privacy and regulatory requirements, making it essential to protect sensitive patient and operational data while maintaining operational efficiency. Internal applications need private connectivity to Google Cloud managed services to prevent exposure over the public internet. Private IP connectivity ensures sensitive healthcare data remains isolated. Centralized access management allows consistent policy enforcement across teams, reducing the risk of misconfigurations or unauthorized access. Supporting multiple service producers simplifies network management for large healthcare organizations with numerous teams and services.

VPC Peering with each service provides private connectivity, but does not scale efficiently for multiple services. Each service requires a separate peering connection, and overlapping IP ranges are unsupported. Centralized access control is limited, as policies must be configured individually for each 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 by firewalls. While firewall rules can limit connections to authorized users, centralized access management is difficult. Supporting multiple service producers requires separate configurations, increasing administrative overhead. This approach does not fully satisfy healthcare privacy and compliance requirements.

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

Question 160

A global manufacturing company wants to connect its factories and regional offices 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

Manufacturing companies operate in a highly connected, data-intensive environment. Factories and regional offices generate massive amounts of data, including production metrics, IoT sensor readings, supply chain information, and quality control analytics. To maintain operational efficiency, these data streams must be reliably transferred to Google Cloud. High throughput is essential for moving large datasets quickly and efficiently, particularly during peak production cycles or bulk data transfers for analytics and reporting. Low latency is critical for real-time monitoring of production lines, machinery performance, and automated control systems. Dynamic route propagation is needed so that network routes update automatically when new factories or offices are added, reducing manual effort and errors. Automatic failover ensures continued operations in the event of link or device failure, which is critical for manufacturing continuity. Centralized route management allows consistent monitoring, auditing, and policy enforcement across all sites, which is essential for operational control and regulatory compliance.

Cloud VPN Classic provides secure IPsec tunnels over the public internet. While it ensures data encryption, VPNs cannot guarantee predictable throughput or low latency, as internet performance is highly variable. Routing is primarily static, and manual updates are required whenever new offices or factories are added. Failover is either manual or requires multiple redundant tunnels. Scaling VPNs to support multiple sites increases operational complexity, making them unsuitable for global manufacturing networks with strict performance requirements.

Cloud Interconnect Dedicated with Cloud Router offers private high-bandwidth connectivity with low latency. Cloud Router enables dynamic route propagation, minimizing administrative effort. However, a dedicated interconnect requires managing physical infrastructure across multiple regions. Automatic failover must be configured carefully, and operational complexity increases with the number of global sites. While performance is excellent, managing multiple dedicated links globally adds operational overhead.

Manually configured static routes are highly inefficient for large-scale manufacturing networks. Each office or factory requires individual route configurations, and any network changes require updates across all locations. Failover is not automated, and traffic cannot dynamically adapt to optimize performance. Operational complexity and risk of misconfiguration increase significantly as the network scales, making static routes impractical.

Cloud Interconnect Partner with Cloud Router provides 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 overhead. Redundant connections provide automatic failover to maintain continuous operations during link or device failures. Centralized management simplifies monitoring, logging, auditing, and policy enforcement. This solution meets all operational requirements for connecting factories and regional offices 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 a global manufacturing company connecting multiple sites to Google Cloud.

Question 161

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 variable traffic. Which load balancer is most appropriate?

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

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

Explanation

Global SaaS applications must provide low-latency access, high availability, and elasticity to handle variable traffic patterns. A single global IP simplifies DNS management and client access. SSL termination at the edge offloads encryption processing from backend servers, reducing latency and improving performance. Health-based routing ensures traffic is directed to the nearest healthy backend, minimizing downtime and improving user experience. Autoscaling dynamically adjusts backend capacity to handle traffic surges, maintaining consistent performance without manual intervention.

Regional external HTTP(S) load balancing distributes traffic within a single region and supports SSL termination and autoscaling. However, it cannot automatically route traffic from users outside the region to the nearest healthy backend. Multi-region failover is not automatic, which reduces reliability for globally distributed users. Regional load balancing works for localized services but does not meet global SaaS requirements.

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

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

Question 162

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

Correct Answer: B) Private Service Connect endpoints

Explanation

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

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

Assigning external IPs and using firewall rules exposes services to the public internet, even if restricted. While firewall rules can limit access to authorized users, centralized access management is difficult. Supporting multiple service producers requires separate configurations, increasing 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 scalable management.

Question 163

A multinational retail company wants to connect multiple regional warehouses to Google Cloud. Requirements include high throughput for large data transfers, low latency for real-time inventory updates, 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

Retail companies operate in a high-volume, data-intensive environment where real-time visibility of inventory, order processing, and shipment tracking is critical. Connecting regional warehouses to Google Cloud requires networking that can handle large-scale data transfers efficiently and reliably. High throughput ensures that large datasets, including inventory databases, sales data, and shipping manifests, are transmitted quickly, avoiding bottlenecks that could disrupt operations. Low latency is vital for real-time inventory updates, enabling warehouses to adjust stock allocation dynamically, coordinate shipments, and respond promptly to supply chain disruptions. Dynamic route propagation simplifies the network configuration by automatically updating routing tables when new warehouses or subnets are added, reducing administrative effort and the potential for misconfiguration. Automatic failover ensures business continuity by maintaining connectivity in case of link or device failure, which is crucial for operational reliability. Centralized route management allows administrators to monitor traffic, enforce security policies, and manage routing centrally, providing operational oversight and compliance reporting.

Cloud VPN Classic provides secure IPsec tunnels over the public internet, ensuring data encryption and secure communication. However, VPNs cannot provide predictable throughput or low latency because performance depends on the variable internet environment. Routing is primarily static, requiring manual updates whenever new warehouses are added or network changes occur. Failover is either manual or requires multiple redundant tunnels. Scaling VPNs across multiple regions introduces operational complexity, making them unsuitable for a multinational retail company with performance-sensitive requirements.

Cloud Interconnect Dedicated with Cloud Router offers private, high-bandwidth connectivity with low latency. Cloud Router allows dynamic route propagation, reducing manual configuration. However, a dedicated interconnect requires managing physical infrastructure across multiple regions. Automatic failover must be carefully configured, and operational complexity increases with additional warehouses. While performance is excellent, managing dedicated interconnects globally is operationally intensive compared to partner-managed solutions.

Manually configured static routes are inefficient and error-prone for a global retail network. Each warehouse requires individual route configurations, and network changes necessitate updates across all sites. Failover is not automated, and traffic cannot dynamically adjust to optimize performance. Operational complexity and the risk of misconfiguration increase significantly as the network scales, making static routes impractical.

Cloud Interconnect Partner with Cloud Router provides 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, minimizing administrative overhead. Redundant connections provide automatic failover, ensuring continuous operations during network failures. Centralized monitoring and management simplify auditing, policy enforcement, and operational oversight. This solution satisfies all requirements for connecting multiple regional warehouses 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 a multinational retail company connecting warehouses to Google Cloud.

Question 164

A SaaS company needs 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 unpredictable user traffic. Which load balancer should be deployed?

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

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

Explanation

Global SaaS applications must provide low-latency access, high availability, and the ability to scale dynamically according to fluctuating user demand. A single global IP simplifies DNS management and client access. SSL termination at the edge offloads encryption from backend servers, reducing latency and improving backend performance. Health-based routing ensures that user requests are directed to the nearest healthy backend, minimizing downtime and optimizing response times. Autoscaling allows backend resources to automatically adjust to traffic spikes, ensuring consistent application performance without manual intervention.

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 the load balancer 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. Regional load balancing works for localized services but is insufficient for global SaaS applications that require low-latency access worldwide.

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

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

Question 165

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

Explanation

Healthcare organizations must maintain privacy and comply with strict regulatory frameworks while enabling 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, meeting regulatory requirements such as HIPAA. Centralized access management allows consistent policy enforcement across multiple teams, reducing the risk of misconfigurations or unauthorized access. Supporting multiple service producers simplifies network management in large healthcare organizations with many teams and services.

VPC Peering with each service provides private connectivity, buit t is not scalable for multiple services. Each managed service requires a separate peering connection, and overlapping IP ranges are unsupported. Centralized access management is limited because policies must be applied individually per peering connection. Operational complexity increases significantly as the number of services grows, making VPC Peering impractical.

Assigning external IPs and using firewall rules exposes services to the public internet, even if access is restricted. While firewall rules can 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.

Google Professional Cloud Network Engineer Exam Dumps and Practice Test Questions Set 11 Q151-165

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