Google PROFESSIONAL-CLOUD-DEVELOPER Online Practice Questions and Exam Preparation

Google PROFESSIONAL-CLOUD-DEVELOPER Online Questions & Answers

• Question 271:

  You are building an application that will store frequently accessed data in a Memorystore for Redis Cluster instance. You would like to make the application resilient to network issues. You need to ensure that the application handles client disconnections from a Redis instance gracefully to minimize disruption and ensure stability of the application.

  What should you do?

  A. Immediately terminate the application instance upon detecting a Redis disconnection to force a restart, and wait for clients to reconnect to the cache as soon as the application becomes available.
  B. Configure the Redis client to reconnect after a fixed delay of 60 seconds.
  C. Use Memorystore's automatic failover mechanisms to make the Redis cache available in a secondary zone.
  D. Implement exponential backoff with a jitter when reconnecting after a disconnection. Configure client- side caching to serve data during brief outages.
  D. Implement exponential backoff with a jitter when reconnecting after a disconnection. Configure client- side caching to serve data during brief outages.

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  Explanation

  Implementing exponential backoff with jitter when reconnecting reduces connection storms and gracefully handles transient network issues. Client-side caching ensures the application remains stable and responsive during brief Redis outages.

• Question 272:

  Your application team is developing an ecommerce application. Your team has developed a new functionality that has a dependency on a third-party service. This third-party service will be deployed in a few days. However, you have been unable to ensure the reliability of this service. You need to choose a deployment strategy for the ecommerce application that will avoid disruption and can be rolled back quickly if issues are discovered.

  What should you do?

  A. Deploy the new functionality by using an A/B deployment strategy.
  B. Deploy the new functionality to all users by using a blue/green deployment strategy.
  C. Use a feature flag to enable the new functionality to users on demand. Gradually enable the new functionality to more users.
  D. Gradually roll out the new functionality by using a rolling updates deployment strategy. Start with a small subset of users and increase the number of users over time.
  C. Use a feature flag to enable the new functionality to users on demand. Gradually enable the new functionality to more users.

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  Explanation

  Using a feature flag allows you to control the release of the new functionality independently of the deployment itself. This approach enables you to quickly enable or disable the feature if issues arise with the third-party service, providing a seamless rollback option without requiring redeployment. You can start by enabling the feature for a small subset of users and gradually increase exposure as confidence grows in the third-party service's reliability.

  This strategy minimizes disruption to users, avoids potential downtime, and provides fine-grained control over the release, making it an ideal choice for managing dependencies with uncertain reliability.

• Question 273:

  You recently deployed your application in Google Kubernetes Engine, and now need to release a new version of your application. You need the ability to instantly roll back to the previous version in case there are issues with the new version.

  Which deployment model should you use?

  A. Perform a rolling deployment, and test your new application after the deployment is complete.
  B. Perform A/B testing, and test your application periodically after the new tests are implemented.
  C. Perform a blue/green deployment, and test your new application after the deployment is complete.
  D. Perform a canary deployment, and test your new application periodically after the new version is deployed.
  C. Perform a blue/green deployment, and test your new application after the deployment is complete.

• Question 274:

  You are a SaaS provider deploying dedicated blogging software to customers in your Google Kubernetes Engine (GKE) cluster. You want to configure a secure multi-tenant platform to ensure that each customer has access to only their own blog and can't affect the workloads of other customers.

  What should you do?

  A. Enable Application-layer Secrets on the GKE cluster to protect the cluster.
  B. Deploy a namespace per tenant and use Network Policies in each blog deployment.
  C. Use GKE Audit Logging to identify malicious containers and delete them on discovery.
  D. Build a custom image of the blogging software and use Binary Authorization to prevent untrusted image deployments.
  B. Deploy a namespace per tenant and use Network Policies in each blog deployment.

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  Explanation

  https://cloud.google.com/kubernetes-engine/docs/concepts/multitenancy-overview

• Question 275:

  You are creating a Google Kubernetes Engine (GKE) cluster and run this command:

  

  The command fails with the error:

  

  You want to resolve the issue.

  What should you do?

  A. Request additional GKE quota in the GCP Console.
  B. Request additional Compute Engine quota in the GCP Console.
  C. Open a support case to request additional GKE quota.
  D. Decouple services in the cluster, and rewrite new clusters to function with fewer cores.
  B. Request additional Compute Engine quota in the GCP Console.

• Question 276:

  Your operations team has asked you to create a script that lists the Cloud Bigtable, Memorystore, and Cloud SQL databases running within a project. The script should allow users to submit a filter expression to limit the results presented.

  How should you retrieve the data?

  A. Use the HBase API, Redis API, and MySQL connection to retrieve database lists. Combine the results, and then apply the filter to display the results
  B. Use the HBase API, Redis API, and MySQL connection to retrieve database lists. Filter the results individually, and then combine them to display the results
  C. Run gcloud bigtable instances list, gcloud redis instances list, and gcloud . Use a filter within the application, and then display the results sql databases list
  D. Run gcloud bigtable instances list, gcloud redis instances list, and gcloud . Use --filter flag with each command, and then display the results sql databases list
  D. Run gcloud bigtable instances list, gcloud redis instances list, and gcloud . Use --filter flag with each command, and then display the results sql databases list

• Question 277:

  You work for an ecommerce company, and you are responsible for deploying and managing multiple APIs. The operations team wants to review the traffic patterns in the orders-prod and users-prod environments. These are the only environments in the store-prod environment group. You want to follow Google-recommended practices.

  What should you do?

  A. Assign the Apigee Analytics Viewer IAM role to the operations team for both environments. Use Cloud Monitoring to review traffic patterns.
  B. Assign the Apigee Analytics Viewer IAM role to the operations team for both environments. Use Apigee API Analytics to review traffic patterns.
  C. Assign the Apigee API Reader IAM role to each user of the operations team for both environments.Use Cloud Monitoring to review traffic patterns.
  D. Assign the Apigee API Reader IAM role to each user of the operations team for both environments.Use Apigee API Analytics to review traffic patterns.
  B. Assign the Apigee Analytics Viewer IAM role to the operations team for both environments. Use Apigee API Analytics to review traffic patterns.

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  Explanation

  https://cloud.google.com/blog/products/api-management/api-monitoring-and-analytics-for-2021

• Question 278:

  Your company stores their source code in a Cloud Source Repositories repository. Your company wants to build and test their code on each source code commit to the repository and requires a solution that is managed and has minimal operations overhead.

  Which method should they use?

  A. Use Cloud Build with a trigger configured for each source code commit.
  B. Use Jenkins deployed via the Google Cloud Platform Marketplace, configured to watch for source code commits.
  C. Use a Compute Engine virtual machine instance with an open source continuous integration tool, configured to watch for source code commits.
  D. Use a source code commit trigger to push a message to a Cloud Pub/Sub topic that triggers an App Engine service to build the source code.
  A. Use Cloud Build with a trigger configured for each source code commit.

• Question 279:

  Your ecommerce application has a rapidly growing user base, and it is experiencing performance issues due to excessive requests to your backend API. Your team develops and manages this API. The Cloud SQL backend database is struggling to handle the high demand, leading to latency and timeouts. You need to implement a solution that optimizes API performance and improves user experience.

  What should you do?

  A. Use Apigee to expose your API. Use Memorystore for Redis to cache frequently accessed data. Implement exponential backoff in the application to retry failed requests.
  B. Use Apigee to expose your API. Implement rate limiting and access control policies in Apigee to control API traffic. Use Pub/Sub to queue requests to prevent database overload.
  C. Use Cloud Load Balancing to expose your API. Use Cloud CDN in front of the load balancer to cache responses. Implement exponential backoff to retry failed requests.
  D. Use Cloud Load Balancing to expose your API. Increase the memory for the database instances to handle more concurrent requests. Implement a custom rate-limiting mechanism in your application code to control API requests.
  A. Use Apigee to expose your API. Use Memorystore for Redis to cache frequently accessed data. Implement exponential backoff in the application to retry failed requests.

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  Explanation

  https://cloud.google.com/sql/docs/mysql/admin-api/how-tos/performance

• Question 280:

  You want to deploy infrastructure changes in a version-controlled and repeatable way.

  Which approach should you use?

  A. Manually run gcloud commands in production.
  B. Use Deployment Manager templates stored in source control.
  C. Modify resources directly in the Console.
  D. Create resources using SSH scripts.
  B. Use Deployment Manager templates stored in source control.

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  Explanation

  Deployment Manager allows defining infrastructure as code using templates that can be versioned in source control. This ensures auditable and repeatable infrastructure changes.