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

Google PROFESSIONAL-CLOUD-DEVELOPER Online Questions & Answers

• Question 121:

  You are designing a resource-sharing policy for applications used by different teams in a Google Kubernetes Engine cluster. You need to ensure that all applications can access the resources needed to run.

  What should you do? (Choose two.)

  A. Specify the resource limits and requests in the object specifications.
  B. Create a namespace for each team, and attach resource quotas to each namespace.
  C. Create a LimitRange to specify the default compute resource requirements for each namespace.
  D. Create a Kubernetes service account (KSA) for each application, and assign each KSA to the namespace.
  E. Use the Anthos Policy Controller to enforce label annotations on all namespaces. Use taints and tolerations to allow resource sharing for namespaces.
  B. Create a namespace for each team, and attach resource quotas to each namespace.
  C. Create a LimitRange to specify the default compute resource requirements for each namespace.

• Question 122:

  You are developing an application that will be launched on Compute Engine instances into multiple distinct projects, each corresponding to the environments in your software development process (development, QA, staging, and production). The instances in each project have the same application code but a different configuration. During deployment, each instance should receive the application's configuration based on the environment it serves. You want to minimize the number of steps to configure this flow.

  What should you do?

  A. When creating your instances, configure a startup script using the gcloud command to determine the project name that indicates the correct environment.
  B. In each project, configure a metadata key "environment" whose value is the environment it serves. Use your deployment tool to query the instance metadata and configure the application based on the "environment" value.
  C. Deploy your chosen deployment tool on an instance in each project. Use a deployment job to retrieve the appropriate configuration file from your version control system, and apply the configuration when deploying the application on each instance.
  D. During each instance launch, configure an instance custom-metadata key named "environment" whose value is the environment the instance serves. Use your deployment tool to query the instance metadata, and configure the application based on the "environment" value.
  B. In each project, configure a metadata key "environment" whose value is the environment it serves. Use your deployment tool to query the instance metadata and configure the application based on the "environment" value.

• Question 123:

  Your team currently uses Bigtable as their database backend. In your application's app profile, you notice that the connection to the Bigtable cluster is specified as single-cluster routing, and the cluster's connection logic is configured to conduct manual failover when the cluster is unavailable. You want to optimize the application code to have more efficient and highly available Bigtable connectivity.

  What should you do?

  A. Set up Memcached so that queries hit the cache layer first and automatically get data from Bigtable in the event of a cache miss.
  B. Increase the Bigtable client's connection pool size.
  C. Configure a Dataflow template, and use a Beam connector to stream data changes.
  D. Configure the app profile to use multi-cluster routing.
  D. Configure the app profile to use multi-cluster routing.

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  Explanation

  https://cloud.google.com/bigtable/docs/replication-settings

• Question 124:

  You have an application deployed in production. When a new version is deployed, some issues don't arise until the application receives traffic from users in production. You want to reduce both the impact and the number of users affected.

  Which deployment strategy should you use?

  A. Blue/green deployment
  B. Canary deployment
  C. Rolling deployment
  D. Recreate deployment
  B. Canary deployment

• Question 125:

  Your Cloud SQL instance needs to be highly available within a region.

  What should you configure?

  A. Read replicas only
  B. High availability configuration with regional availability
  C. Increase machine type
  D. Export backups daily
  B. High availability configuration with regional availability

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  Explanation

  Cloud SQL high availability configuration provides regional redundancy with automatic failover to a standby instance in a different zone within the same region.

• Question 126:

  You have an application running in App Engine. Your application is instrumented with Stackdriver Trace. The /product-details request reports details about four known unique products at /sku-details as shown below. You want to reduce the time it takes for the request to complete.

  What should you do?

  

  A. Increase the size of the instance class.
  B. Change the Persistent Disk type to SSD.
  C. Change /product-details to perform the requests in parallel.
  D. Store the /sku-details information in a database, and replace the webservice call with a database query.
  C. Change /product-details to perform the requests in parallel.

• Question 127:

  Your data is stored in Cloud Storage buckets. Fellow developers have reported that data downloaded from Cloud Storage is resulting in slow API performance. You want to research the issue to provide details to the GCP support team.

  Which command should you run?

  A. gsutil test -o output.json gs://my-bucket
  B. gsutil perfdiag -o output.json gs://my-bucket
  C. gcloud compute scp example-instance:~/test-data -o output.json gs://my- bucket
  D. gcloud services test -o output.json gs://my-bucket
  B. gsutil perfdiag -o output.json gs://my-bucket

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  Explanation

  https://groups.google.com/forum/#!topic/gce-discussion/xBl9Jq5HDsY

• Question 128:

  You are writing a single-page web application with a user-interface that communicates with a third-party API for content using XMLHttpRequest. The data displayed on the UI by the API results is less critical than other data displayed on the same web page, so it is acceptable for some requests to not have the API data displayed in the UI. However, calls made to the API should not delay rendering of other parts of the user interface. You want your application to perform well when the API response is an error or a timeout.

  What should you do?

  A. Set the asynchronous option for your requests to the API to false and omit the widget displaying the API results when a timeout or error is encountered.
  B. Set the asynchronous option for your request to the API to true and omit the widget displaying the API results when a timeout or error is encountered.
  C. Catch timeout or error exceptions from the API call and keep trying with exponential backoff until the API response is successful.
  D. Catch timeout or error exceptions from the API call and display the error response in the UI widget.
  B. Set the asynchronous option for your request to the API to true and omit the widget displaying the API results when a timeout or error is encountered.

• Question 129:

  Your application on Compute Engine experiences intermittent high latency. You want to identify which functions consume the most CPU time.

  Which tool should you use?

  A. Cloud Logging
  B. Cloud Profiler
  C. Cloud Monitoring dashboards
  D. Cloud Debugger
  B. Cloud Profiler

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  Explanation

  Cloud Profiler analyzes application performance and identifies CPU and memory usage by function. It helps pinpoint performance bottlenecks in production systems.

• Question 130:

  You are reviewing and updating your Cloud Build steps to adhere to Google-recommended practices. Currently, your build steps include:

  1. Pull the source code from a source repository.

  2. Build a container image.

  3. Upload the built image to Artifact Registry.

  You need to add a step to perform a vulnerability scan of the built container image, and you want the results of the scan to be available to your deployment pipeline running in Google Cloud. You want to minimize changes that could disrupt other teams' processes.

  What should you do?

  A. Enable Binary Authorization, and configure it to attest that no vulnerabilities exist in a container image.
  B. Upload the built container images to your Docker Hub instance, and scan them for vulnerabilities.
  C. Enable the Container Scanning API in Artifact Registry, and scan the built container images for vulnerabilities.
  D. Add Artifact Registry to your Aqua Security instance, and scan the built container images for vulnerabilities.
  C. Enable the Container Scanning API in Artifact Registry, and scan the built container images for vulnerabilities.