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Google Professional Cloud Network Engineer exam dumps: questions 401 to 500 of 789

Page 5 of the free Google Professional Cloud Network Engineer question bank for the Professional Cloud Network Engineer exam. Questions 401 to 500 are listed below, the first 5 in full with answers and explanations. Back to page 1 for the exam overview and FAQ.

Question bank last updated December 2024

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Free Google Professional Cloud Network Engineer practice questions

Questions 401 to 405 of 789

Pick an answer before you open the explanation. Each question also has its own page with a permalink.

Google Professional Cloud Network Engineer Question 401

Single answerGoogle Cloud Platform

You are configuring a global HTTP(S) load balancer for a high-traffic web application hosted on Google Cloud. The application has backend services deployed in multiple regions, and each backend service uses instance groups with autoscaling enabled. You want to optimize traffic distribution to ensure that backend instances are not overloaded while maximizing performance for users. Which balancing method should you configure in the backend services to achieve this goal?

A
Rate-based balancing (RPS)
B
CPU utilization-based balancing
C
Utilization balancing based on memory usage
D
Round-robin balancing

Show answer and explanation

Correct answer: A

Explanation

Rate-based balancing (RPS) is the appropriate balancing method in this scenario because it ensures that individual backend instances are not overloaded by limiting the number of requests-per-second they handle. This method is particularly suitable for high-traffic web applications with autoscaling enabled, as it dynamically adjusts traffic distribution based on backend instance capacity.

A. Correct.
Rate-based balancing (RPS) optimizes traffic distribution by limiting the number of requests-per-second sent to each backend instance. This is ideal for preventing overloading of backend instances while maintaining performance.
B. Incorrect.
CPU utilization-based balancing is not supported directly by Google Cloud's global HTTP(S) load balancer, making it unsuitable for this use case.
C. Incorrect.
Utilization balancing based on memory usage is not an available balancing method for backend services in Google Cloud.
D. Incorrect.
Round-robin balancing distributes traffic evenly across backend instances but does not account for the load on individual instances, which could lead to overloading in high-traffic scenarios.

Google Professional Cloud Network Engineer Question 402

Single answerGoogle Cloud Platform

You are configuring a global HTTP(S) load balancer on Google Cloud for an e-commerce application. The application has multiple backend instances distributed across two regions. You want to optimize traffic distribution based on backend server utilization to prevent overloading any instance. Which load balancing method would be most appropriate to configure for the backend services?

A
Round Robin
B
Rate-based (RPS) balancing
C
CPU utilization-based balancing
D
Least Connections balancing

Show answer and explanation

Correct answer: C

Explanation

CPU utilization-based balancing is the preferred load balancing method when you want to optimize traffic distribution by considering the current utilization of backend server resources. This ensures that no single instance is overloaded, which is critical for maintaining the performance and reliability of an e-commerce application during periods of high traffic.

A. Incorrect.
Round Robin distributes traffic equally among the backends without considering the utilization or load on individual instances. This would not prevent overloading of some instances.
B. Incorrect.
Rate-based (RPS) balancing distributes traffic based on the number of requests per second but does not take into account backend server utilization, which is crucial in this scenario.
C. Correct.
CPU utilization-based balancing ensures that traffic is distributed based on the current utilization of each backend server’s CPU, making it the most appropriate choice to avoid overloading instances.
D. Incorrect.
Least Connections balancing is not a load balancing method supported by Google Cloud HTTP(S) load balancers, making it an invalid choice in this context.

Google Professional Cloud Network Engineer Question 403

Single answerGoogle Cloud Platform

You are configuring a Global HTTP(S) Load Balancer for an application hosted on Google Cloud. The application has two backend instances in different regions that handle traffic. You want to configure the load balancer to distribute traffic based on backend CPU utilization to ensure optimal performance. Which configuration step is required to achieve this?

A
Set the balancing mode of the backend service to 'UTILIZATION' and configure a target CPU utilization.
B
Set the balancing mode of the backend service to 'RATE' and specify a maximum requests-per-second (RPS) value.
C
Set the backend service balancing mode to 'CONNECTION' and configure a maximum number of connections per instance.
D
Configure a session affinity policy to ensure requests from a single user are directed to the same instance.

Show answer and explanation

Correct answer: A

Explanation

To distribute traffic based on backend CPU utilization, the balancing mode of the backend service needs to be set to 'UTILIZATION'. This mode enables the load balancer to direct traffic to instances with lower CPU usage, ensuring optimal resource utilization and performance. Other options, such as 'RATE' or 'CONNECTION', distribute traffic based on different metrics and are not suitable for this scenario.

A. Correct.
Correct. The 'UTILIZATION' balancing mode allows traffic distribution based on CPU utilization, which meets the requirement of distributing traffic based on backend CPU usage.
B. Incorrect.
Incorrect. The 'RATE' balancing mode distributes traffic based on requests-per-second (RPS), which does not fulfill the requirement to balance based on CPU utilization.
C. Incorrect.
Incorrect. The 'CONNECTION' balancing mode distributes traffic based on the maximum number of connections per backend instance, not CPU utilization.
D. Incorrect.
Incorrect. Session affinity ensures that requests from the same user are sent to the same backend instance but does not address traffic distribution based on CPU utilization.

Google Professional Cloud Network Engineer Question 404

Single answerGoogle Cloud Platform

You are designing a multi-region web application hosted on Google Cloud. The application uses a global external HTTP(S) load balancer to distribute traffic across backend services in multiple regions. Each backend service is associated with regional instance groups. You want to configure the load balancer to prioritize instance groups based on their CPU utilization while ensuring that traffic is distributed evenly if all instance groups are performing optimally. Which load balancing method should you configure for the backend services?

A
Rate-based (RPS) balancing
B
CPU utilization-based balancing
C
Round robin balancing
D
Capacity-based balancing

Show answer and explanation

Correct answer: B

Explanation

CPU utilization-based balancing is the correct choice because it prioritizes backend services with lower CPU utilization, ensuring optimal resource usage. This method also allows traffic to be distributed evenly when all instance groups are performing optimally, meeting the requirements of the scenario.

A. Incorrect.
Rate-based (RPS) balancing distributes traffic based on the number of requests per second to each backend, but it does not prioritize based on CPU utilization.
B. Correct.
CPU utilization-based balancing prioritizes backend services with lower CPU utilization, making it suitable for scenarios where resource usage is a key factor in distributing traffic.
C. Incorrect.
Round robin balancing distributes traffic evenly across all backends, irrespective of their resource utilization, which does not align with the requirement to prioritize CPU utilization.
D. Incorrect.
Capacity-based balancing distributes traffic based on predefined capacity settings for backends, but it does not dynamically adjust based on CPU utilization.

Google Professional Cloud Network Engineer Question 405

Single answerGoogle Cloud Platform

You are designing a Google Cloud Load Balancer for a web application that requires users to maintain their session across multiple requests. The application is hosted on a backend instance group with autoscaling enabled, and you want to ensure that traffic is evenly distributed while keeping users' sessions consistent. Which configuration should you use to achieve this?

A
Set the load balancer's session affinity to NONE and rely on autoscaling to handle traffic spikes.
B
Configure the load balancer with session affinity set to CLIENT_IP to ensure requests from the same client are sent to the same backend instance.
C
Enable session affinity based on GENERATED_COOKIE to ensure session consistency regardless of client IP changes.
D
Set the serving capacity for the backend instance group to a fixed number of instances to avoid overloading individual backends.

Show answer and explanation

Correct answer: C

Explanation

To maintain session consistency across multiple requests, session affinity is required. Using GENERATED_COOKIE ensures that the load balancer can route requests from the same session to the same backend instance, even when client IPs change. This approach works well with autoscaling, as the load balancer dynamically adjusts backend assignments based on the cookie.

A. Incorrect.
This option disables session affinity, which would prevent users from maintaining session consistency across requests. While autoscaling handles traffic spikes, it does not address session persistence.
B. Incorrect.
Using CLIENT_IP for session affinity may not work in scenarios where client IPs change frequently (e.g., mobile networks or proxies), potentially breaking session consistency.
C. Correct.
GENERATED_COOKIE-based session affinity is ideal for ensuring session consistency regardless of client IP changes. The load balancer generates a cookie that is used to route requests to the same backend instance, maintaining user sessions effectively.
D. Incorrect.
Fixing the serving capacity to a specific number of instances would limit the flexibility of autoscaling and could lead to performance issues during traffic spikes. This does not address session consistency.

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Google Professional Cloud Network Engineer practice questions 401 to 500 of 789

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