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NEW QUESTION 50
You want to migrate an on-premises container running in Knative to Google Cloud. You need to make sure that the migration doesn't affect your application's deployment strategy, and you want to use a fully managed service. Which Google Cloud service should you use to deploy your container?

A. Google Kubernetes EngineB. Compute EngineC. App Engine flexible environmentD. Cloud Run

Answer: D

Explanation:
Explanation
https://cloud.google.com/blog/products/serverless/knative-based-cloud-run-services-are-ga

 

NEW QUESTION 51
You are using Cloud Build to build and test application source code stored in Cloud Source Repositories. The build process requires a build tool not available in the Cloud Build environment.
What should you do?

A. Ask to have the binary added to the Cloud Build environment by filing a feature request against the CloudB. Include the binary in your Cloud Source Repositories repository and reference it in your build scripts.C. Download the binary from the internet during the build process.D. Build a custom cloud builder image and reference the image in your build steps.

Answer: D

Explanation:
Build public Issue Tracker.

 

NEW QUESTION 52
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. Create a LimitRange to specify the default compute resource requirements for each namespace.B. Create a Kubernetes service account (KSA) for each application, and assign each KSA to the namespace.C. Specify the resource limits and requests in the object specifications.D. Use the Anthos Policy Controller to enforce label annotations on all namespaces. Use taints and tolerations to allow resource sharing for namespaces.E. Create a namespace for each team, and attach resource quotas to each namespace.

Answer: A,E

Explanation:
https://kubernetes.io/docs/concepts/policy/resource-quotas/
https://kubernetes.io/docs/concepts/policy/limit-range/
https://cloud.google.com/blog/products/containers-kubernetes/kubernetes-best-practices-resource-requests-and-limits

 

NEW QUESTION 53
Your team develops services that run on Google Cloud. You want to process messages sent to a Pub/Sub topic, and then store them. Each message must be processed exactly once to avoid duplication of data and any data conflicts. You need to use the cheapest and most simple solution. What should you do?

A. Process the messages with a Cloud Function, and write the results to a BigQuery location where you can run a job to deduplicate the data.B. Process the messages with a Dataproc job, and write the output to storage.C. Retrieve the messages with a Dataflow streaming pipeline, store them in Cloud Bigtable, and use another Dataflow streaming pipeline to deduplicate messages.D. Process the messages with a Dataflow streaming pipeline using Apache Beam's PubSubIO package, and write the output to storage.

Answer: D

Explanation:
Explanation
https://cloud.google.com/dataflow/docs/concepts/streaming-with-cloud-pubsub

 

NEW QUESTION 54
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