Google Professional Cloud Network Engineer Exam Dumps and Practice Test Questions Set 9 Q121-135

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Question 121

A multinational insurance company needs to securely connect its 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

Insurance companies operate highly distributed systems across multiple regions. Real-time access to policy databases, claims processing systems, and analytics platforms is critical for operational efficiency and customer service. High throughput ensures smooth data transfer for large datasets, including claims images, actuarial models, and customer data. Low latency is necessary for real-time applications such as policy approvals and fraud detection. Dynamic route propagation is essential to minimize administrative overhead when adding new offices or making network adjustments. Automatic failover maintains uninterrupted connectivity during link or device failures, while centralized route management allows for consistent oversight, logging, and policy enforcement.

Cloud VPN Classic, the first approach, provides secure IPsec tunnels over the public internet. While encrypted, VPNs cannot guarantee predictable bandwidth or low latency because public internet traffic fluctuates. Routing is primarily static, requiring manual updates for each office. Failover is either manual or requires configuring multiple redundant tunnels. Operational overhead grows significantly as the number of offices increases, making VPNs unsuitable for global insurance networks.

Cloud Interconnect Dedicated with Cloud Router provides private, high-bandwidth, low-latency connections. Cloud Router allows dynamic route propagation, reducing manual configuration. However, dedicated interconnects require managing physical infrastructure, and automatic failover across multiple regions may require additional setup and coordination. While performance is excellent, operational complexity increases for globally distributed networks.

Manually configured static routes are highly inefficient. Each office requires individual route configuration, and any network changes necessitate manual updates across all offices. Failover is not automated, and traffic cannot dynamically optimize for performance. Operational complexity and risk of misconfiguration increase exponentially as the network expands, making static routing unsuitable.

Cloud Interconnect Partner with Cloud Router provides high throughput, low latency, dynamic route propagation, automatic failover, and centralized route management. Partner interconnect ensures reliable, high-performance connectivity without managing physical infrastructure. Cloud Router automatically propagates routes, reducing manual effort. Redundant connections deliver automatic failover, ensuring continuous operations. Centralized management simplifies monitoring, logging, auditing, and policy enforcement, enhancing operational efficiency. This solution addresses all requirements: predictable bandwidth, low latency, dynamic routing, failover automation, and centralized control. It enables secure, scalable, and efficient connectivity between regional offices and Google Cloud.

Considering throughput, latency, failover, scalability, and operational efficiency, Cloud Interconnect Partner with Cloud Router is the optimal solution for multinational insurance companies connecting multiple regional offices to Google Cloud.

Question 122

A SaaS provider 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 for varying traffic levels. 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 must provide low-latency access, high availability, and the ability to scale automatically to meet unpredictable traffic demands. Users worldwide expect fast, reliable performance. Key requirements include a single global IP for simplicity, SSL termination at the edge to reduce backend processing, health-based routing to direct users to the nearest healthy backend, and autoscaling to accommodate sudden spikes in traffic. Evaluating Google Cloud load balancing options identifies 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 may experience higher latency because traffic cannot automatically route to the nearest backend in other regions. Multi-region failover is not automatic, reducing reliability for global users. While suitable for regional applications, it does not satisfy global SaaS requirements.

TCP Proxy Load Balancing provides global routing at the TCP layer. While it can direct traffic to the nearest healthy backend, 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 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 for external access and cannot handle global traffic. SSL termination and autoscaling are restricted 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 workload. 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 facilitate operational oversight, performance optimization, and troubleshooting. This solution fully meets global SaaS requirements: 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 serving worldwide users.

Question 123

A healthcare organization wants 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 they implement?

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 strict privacy and regulatory compliance when accessing cloud services. Internal applications require private connectivity to Google Cloud managed services to prevent exposure over the public internet. Critical requirements include private IP connectivity to isolate traffic, centralized access control to enforce consistent policies, and support for multiple service producers to reduce administrative complexity and simplify operations. 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 grows significantly as the number of services increases, making this solution impractical for large healthcare organizations.

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 to enforce. Multiple service producers require separate configurations, increasing administrative overhead. This method does not fully comply with 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 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 124

A global retail chain needs to connect its multiple on-premises stores 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

Global retail operations require seamless connectivity between multiple stores and cloud-based applications, such as point-of-sale systems, inventory management, and analytics platforms. High throughput is necessary to support large amounts of transactional data, particularly during peak shopping periods or promotional campaigns. Low latency is essential to ensure real-time processing of orders and updates, providing a responsive customer experience. Dynamic route propagation minimizes manual configuration, which is critical as new stores are added or network subnets change. Automatic failover guarantees continuity in case of link or device failure, and centralized route management enables monitoring, auditing, and consistent policy enforcement across all locations.

Cloud VPN Classic provides secure IPsec tunnels over the public internet. While VPNs encrypt traffic, they cannot provide predictable throughput or low latency, since performance depends on variable internet conditions. Routing is primarily static, requiring manual configuration for each store. Failover is manual or requires multiple redundant tunnels. As the number of stores grows, operational overhead increases, making VPNs unsuitable for large-scale retail connectivity.

Cloud Interconnect Dedicated with Cloud Router provides private high-bandwidth connections with low latency. Cloud Router supports dynamic route propagation, reducing manual updates. However, dedicated interconnects require managing physical infrastructure, and failover across multiple regions requires additional setup. While performance is excellent, operational complexity increases with network scale and distributed locations.

Manually configured static routes are highly inefficient. Each store requires individual route configurations, and network changes necessitate updates across all locations. Failover is not automated, and traffic cannot dynamically adjust for optimal performance. As the network scales, operational complexity and risk of errors grow, making static routing unsuitable for global 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 management of physical infrastructure. Cloud Router automatically propagates routes, reducing manual effort. Redundant connections deliver automatic failover, ensuring continuous operations during link or device failures. Centralized monitoring and management simplify auditing, policy enforcement, and operational oversight. This solution addresses all critical requirements for retail operations: predictable bandwidth, low latency, dynamic routing, failover automation, and centralized control, making it ideal for connecting multiple stores to Google Cloud.

Considering throughput, latency, failover, scalability, and operational efficiency, Cloud Interconnect Partner with Cloud Router is the optimal solution for a global retail chain connecting multiple stores to Google Cloud securely and efficiently.

Question 125

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 variable traffic. Which load balancer should they implement?

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 scalable performance to meet user expectations worldwide. Key requirements include a single public IP for simplicity, SSL termination at the edge to reduce backend load, health-based routing to ensure users are directed to the nearest available and healthy backend, and autoscaling to accommodate unpredictable traffic spikes. Evaluating Google Cloud load balancing options identifies the optimal solution.

Regional external HTTP(S) load balancing distributes traffic within a single region and supports SSL termination and autoscaling. However, users outside that region may experience higher latency because traffic cannot automatically route to the nearest backend in other regions. Multi-region failover is not automatic, which reduces reliability for global users. While suitable for regional applications, it does not satisfy 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 edge SSL termination 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 meet application-layer requirements.

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

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

Question 126

A healthcare organization needs 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 they deploy?

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 strict privacy and regulatory compliance when accessing cloud services. Internal applications require private connectivity to Google Cloud managed services to prevent exposure over the public internet. Critical requirements include private IP connectivity to isolate traffic, centralized access management for consistent policy enforcement, and support for multiple service producers to reduce administrative complexity and simplify operations. Evaluating connectivity options identifies the most suitable solution.

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 to enforce. Multiple service producers require separate configurations, increasing administrative overhead. This approach does not fully comply with healthcare privacy and regulatory requirements.

Question 127

A global financial services company wants to connect multiple regional data 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 financial services companies depend on reliable, high-performance networks to support trading platforms, risk analytics, regulatory reporting, and transaction processing across multiple regions. Predictable high throughput is essential for transferring large datasets, including market data and transactional logs. Low latency is critical for time-sensitive applications, particularly trading systems where milliseconds can impact profitability. Dynamic route propagation reduces manual configuration and administrative overhead as data centers are added or network topology changes. Automatic failover ensures continuity if a link or device fails. Centralized route management allows operators to monitor, enforce policies, and audit traffic consistently across all connected data centers.

Cloud VPN Classic provides encrypted 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 mostly static, requiring manual updates for each data center. Failover is either manual or requires multiple redundant tunnels. Operational overhead grows rapidly as the number of data centers increases, making VPNs unsuitable for large-scale financial networks.

Cloud Interconnect Dedicated with Cloud Router delivers private high-bandwidth connections with low latency. Cloud Router supports dynamic route propagation, reducing manual intervention. However, dedicated interconnects require managing physical infrastructure, including cross-region links. Automatic failover requires careful configuration, and operational complexity increases for global deployments. While performance is excellent, managing interconnect infrastructure across multiple regions is resource-intensive and operationally complex.

Manually configured static routes are highly inefficient. Each data center requires individual route configurations, and any network change necessitates manual updates across all locations. Failover is not automatic, and traffic cannot dynamically adapt for optimal performance. Operational complexity and error risk grow as the network expands, making static routing impractical for globally distributed financial services.

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 manual effort. Redundant connections deliver automatic failover, maintaining continuity during link or device failures. Centralized management simplifies monitoring, auditing, and policy enforcement, enhancing operational efficiency. This solution addresses all critical requirements: predictable throughput, low latency, dynamic routing, failover automation, and centralized control. It is the ideal solution for connecting multiple regional data centers to Google Cloud in a secure, scalable, and efficient manner.

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

Question 128

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 traffic surges. 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 automatic scaling to accommodate unpredictable user demand. Users expect fast and reliable performance regardless of geographic location. The critical requirements include a single global IP address for simplicity, SSL termination at the edge to reduce backend processing, health-based routing to ensure traffic is directed to the nearest healthy backend, and autoscaling to manage traffic surges efficiently. Evaluating Google Cloud load balancing options identifies the most appropriate solution.

Regional external HTTP(S) load balancing distributes traffic within a single region. SSL termination and autoscaling are supported, but users outside that region experience higher latency because traffic cannot route automatically to the nearest backend in other regions. Multi-region failover is not automatic, which limits reliability for global users. While suitable for regional deployments, it does not meet the needs of a global SaaS application.

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 terminating SSL at the edge reduces backend load, improves latency, and simplifies certificate management. TCP Proxy alone cannot satisfy application-layer requirements.

Internal HTTP(S) load balancing is intended 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 workload. 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 facilitate operational oversight, performance optimization, and troubleshooting. This solution meets all requirements for global SaaS applications: low-latency access, edge SSL termination, health-based routing, and autoscaling to handle variable traffic.

Question 129

A healthcare organization wants 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 deployed?

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

Correct Answer: B) Private Service Connect endpoints

Explanation

Healthcare organizations must maintain strict privacy and regulatory compliance when accessing cloud services. Internal applications require private connectivity to Google Cloud managed services to prevent exposure over the public internet. Key requirements include private IP connectivity for traffic isolation, centralized access control for consistent policy enforcement, and support for multiple service producers to reduce administrative overhead and simplify operational management. Evaluating connectivity options clarifies the best 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 grows significantly as the number of services increases, 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 policy enforcement is difficult. Multiple service producers require separate configurations, increasing administrative complexity. 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 separately. 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.

Question 130

A global e-commerce company wants to connect its regional fulfillment centers 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

Explanation

Global e-commerce companies require a highly performant and reliable network infrastructure to manage inventory, track shipments, process orders, and integrate with cloud-based analytics. High throughput is critical to support large amounts of operational data, particularly during peak shopping seasons such as holidays or promotional events. Low latency ensures real-time visibility and responsiveness for order processing, inventory updates, and customer notifications. Dynamic route propagation allows automatic adjustments to network routes as new fulfillment centers are added or subnets are modified, minimizing manual network management. Automatic failover guarantees uninterrupted connectivity if a network link or device fails, while centralized route management ensures consistent monitoring, logging, and policy enforcement across all locations.

Cloud VPN Classic provides encrypted IPsec tunnels over the public internet. While secure, VPNs cannot guarantee predictable throughput or low latency because internet performance fluctuates. Routing is primarily static, requiring manual updates for each fulfillment center. Failover is either manual or requires configuring multiple redundant tunnels. Scaling VPNs for numerous regional centers introduces operational overhead and increases the risk of misconfiguration, making it unsuitable for large-scale e-commerce connectivity.

Cloud Interconnect Dedicated with Cloud Router delivers private high-bandwidth connections with low latency. Cloud Router enables dynamic route propagation, reducing manual configuration. However, a dedicated interconnect requires managing physical infrastructure, and failover across multiple regions involves additional configuration. Operational complexity increases when managing connectivity for many geographically distributed fulfillment centers, making it less operationally efficient than partner-managed solutions.

Manually configured static routes are highly inefficient. Each fulfillment center requires individual route configuration, and network changes necessitate updates across all locations. Failover is not automated, and traffic cannot dynamically adapt for optimal performance. Operational complexity and risk of errors grow exponentially as the network expands, making static routes unsuitable for global e-commerce operations.

Cloud Interconnect Partner with Cloud Router provides high throughput, low latency, dynamic route propagation, automatic failover, and centralized management. Partner interconnect ensures reliable performance without requiring the company to manage physical infrastructure. Cloud Router automatically propagates routes, reducing administrative effort. Redundant connections deliver 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 critical requirements for a global e-commerce network: predictable bandwidth, low latency, dynamic routing, failover automation, and centralized control, making it the ideal choice for connecting multiple fulfillment centers to Google Cloud.

Considering throughput, latency, failover, scalability, and operational efficiency, Cloud Interconnect Partner with Cloud Router is the optimal solution for a global e-commerce company connecting multiple fulfillment centers to Google Cloud securely and efficiently.

Question 131

A SaaS provider needs 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. 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 accommodate variable user demand. Users expect fast, reliable performance regardless of geographic location. The critical requirements include a single global IP address for simplicity, SSL termination at the edge to offload encryption processing from backends, health-based routing to direct users to the nearest available and healthy backend, and autoscaling to manage traffic surges efficiently. Evaluating Google Cloud load balancing options identifies the most suitable solution.

Regional external HTTP(S) load balancing distributes traffic within a single region. While SSL termination and autoscaling are supported, users outside the region may experience higher latency because traffic cannot automatically route to the nearest backend in other regions. Multi-region failover is not automatic, reducing global reliability. This makes regional HTTP(S) load balancing unsuitable for SaaS applications with worldwide users.

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 is critical to reduce backend load, improve latency, and simplify certificate management. TCP Proxy alone cannot satisfy application-layer requirements.

Internal HTTP(S) load balancing is intended for private workloads within a VPC. It does not provide a public IP and cannot route traffic globally. SSL termination and autoscaling are restricted 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 requirements. Autoscaling dynamically adjusts backend capacity across multiple 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 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 132

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 regulations while maintaining operational efficiency. Internal applications require private connectivity to Google Cloud managed services to prevent traffic exposure over the public internet. Key requirements include private IP connectivity to isolate traffic, centralized access control to enforce consistent policies, and support for multiple service producers to simplify network management and reduce administrative overhead. Evaluating connectivity solutions identifies the most appropriate option.

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 solution 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 to enforce. Supporting multiple service producers requires separate configurations, increasing administrative complexity. This method does not fully comply with 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 is independent. Operational complexity and administrative burden grow 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 133

A multinational manufacturing company wants to connect its global production facilities 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

Manufacturing companies rely on real-time access to cloud-based ERP systems, inventory management, quality control applications, and predictive maintenance tools. Predictable high throughput is essential for transferring large datasets, including sensor data, CAD files, and operational metrics. Low latency is critical for real-time monitoring and operational decision-making, where even small delays can impact production efficiency and safety. Dynamic route propagation is necessary to minimize manual configuration as new production facilities are added or network topology changes. Automatic failover ensures uninterrupted connectivity in case of link or device failure, while centralized route management provides consistent monitoring, auditing, and policy enforcement across all sites.

Cloud VPN Classic provides secure IPsec tunnels over the public internet. While secure, VPNs cannot provide predictable throughput or low latency because public internet performance fluctuates. Routing is primarily static, requiring manual updates for each production facility. Failover is either manual or requires configuring multiple redundant tunnels. Scaling VPNs for multiple global facilities increases operational overhead and risks misconfigurations, making VPNs unsuitable for large manufacturing networks.

Cloud Interconnect Dedicated with Cloud Router offers private high-bandwidth connections with low latency. Cloud Router supports dynamic route propagation, reducing manual configuration. However, dedicated interconnect requires managing physical infrastructure, including cross-region links. Automatic failover must be carefully configured, and operational complexity increases for globally distributed networks. While performance is excellent, managing interconnect infrastructure at scale is operationally demanding.

Manually configured static routes are highly inefficient. Each production facility requires individual route configuration, and any network changes necessitate updates across all locations. Failover is not automated, and traffic cannot dynamically adapt for optimal performance. Operational complexity and error risk grow exponentially as the network scales, making static routes impractical for multinational manufacturing networks.

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 the company managing physical infrastructure. Cloud Router automatically propagates routes, reducing manual effort. Redundant connections deliver automatic failover, ensuring continuous operations in case of link or device failure. Centralized management simplifies monitoring, logging, auditing, and policy enforcement. This solution addresses all critical requirements: predictable bandwidth, low latency, dynamic routing, failover automation, and centralized control. It is the optimal choice for connecting global production facilities to Google Cloud efficiently and securely.

Question 134

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 unpredictable 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 must provide low-latency access, high availability, and dynamic scalability to handle variable traffic. Users expect consistent performance regardless of location. Key requirements include a single global IP for simplicity, SSL termination at the edge to reduce backend processing, health-based routing to ensure traffic is directed to the nearest healthy backend, and autoscaling to accommodate sudden traffic surges. Analyzing Google Cloud load balancing options clarifies the optimal solution.

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 increased latency because traffic cannot automatically route to the nearest backend in other regions. Multi-region failover is not automatic, which reduces reliability for global users. Regional load balancing is suitable for localized deployments but does not meet 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 terminating SSL at the edge 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 and cannot route traffic globally. SSL termination and autoscaling are restricted 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 to minimize latency. SSL termination occurs at the edge, reducing backend processing requirements. Autoscaling dynamically adjusts backend capacity across regions, ensuring uninterrupted service during traffic surges. 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 enable operational oversight, performance optimization, and troubleshooting. This solution fully satisfies the requirements for global SaaS applications: low-latency access, edge SSL termination, health-based routing, and autoscaling for variable traffic.

Question 135

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 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 comply with strict privacy and regulatory standards while ensuring operational efficiency. Internal applications require private connectivity to Google Cloud managed services to avoid exposure to the public internet. Key requirements include private IP connectivity to isolate traffic, centralized access management for consistent policy enforcement, and support for multiple service producers to reduce administrative complexity and simplify network management. Evaluating connectivity options identifies the optimal 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 grows significantly as the number of services increases, 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 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 challenging because each VPN operates independently. Operational complexity and administrative burden increase significantly without efficient scalability.

Google Professional Cloud Network Engineer Exam Dumps and Practice Test Questions Set 9 Q121-135

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