You are in the final stage of migrating an on-premises data center to Google Cloud. You are quickly approaching your deadline, and discover that a web API is running on a server slated for decommissioning. You need to recommend a solution to modernize this API while migrating to Google Cloud. The modernized web API must meet the following requirements:
- Autoscales during high traffic periods at the end of each month
- Written in Python 3.x
- Developers must be able to rapidly deploy new versions in response to frequent code changes You want to minimize cost, effort, and operational overhead of this migration. What should you do?

• A.Modernize and deploy the code on App Engine flexible environment.
• B.Ask the development team to re-write the application to run as a Docker container on Google Kubernetes Engine.
• C.Modernize and deploy the code on App Engine standard environment.
• D.Deploy the modernized application to an n1-standard-1 Compute Engine instance.

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You are developing an external-facing application on GKE that provides a streaming API to users.
You want to offer two subscription tiers, "basic" and "premium", to users based on the number of API requests that each client application is allowed to make each day. You want to design the application architecture to provide subscription tiers to users while following Google- recommended practices. What should you do?

• A.1. Configure the service on GKE as a backend to an Apigee proxy.
  2. Provide API keys to users to identify client applications.
  3. Configure a Quota policy in Apigee for API keys based on the subscription tier.
• B.1. Configure the service on GKE as a backend to an Apigee proxy.
  2. Provide API keys to users to identify client applications.
  3. Configure a SpikeArrest policy in Apigee for API keys based on the subscription tier.
• C.1. Configure the service on GKE as a backend to two new projects, each with a separate Application Load Balancer.
  2. Configure the quota "Queries per second (QPS) per region per network" for each project individually.
  3. Provide users with API endpoints based on the subscription tier.
• D.1. Deploy the application to two GKE clusters, one for each subscription tier. Configure each cluster to have a separate Ingress.
  2. Configure each cluster as a backend to an Apigee proxy.
  3. Provide API keys to users to identify client applications.
  4. Configure separate rate limits for client applications based on the subscription tier.

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You are developing a microservice-based application that will run on Google Kubernetes Engine (GKE).
Some of the services need to access different Google Cloud APIs. How should you set up authentication of these services in the cluster following Google-recommended best practices? (Choose two.)

• A.Use the service account attached to the GKE node.
• B.Enable Workload Identity in the cluster via the gcloud command-line tool.
• C.Access the Google service account keys from a secret management service.
• D.Store the Google service account keys in a central secret management service.
• E.Use gcloud to bind the Kubernetes service account and the Google service account using roles/iam.workloadIdentity.

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Your team runs a Python job that reads millions of customer record files stored in a Cloud Storage bucket. To comply with regulatory requirements, you need to ensure that customer data is immediately deleted once the job is completed. You want to minimize the time required to complete this task. What should you do?

• A.Add a final step in the job that deletes all the objects in the bucket in bulk by using batch requests to the Cloud Storage API.
• B.Configure Object Lifecycle Management on the Cloud Storage bucket that deletes all the objects in the bucket at the end of the job execution.
• C.Remove the bucket from the Google Cloud console when the job is completed
• D.Use the gcloud CLI to execute the gcloud storage rm --recursive gs://BUCKET_NAME/ command.

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You have a data warehouse built on BigQuery that contains a table with array fields. To analyze the data for a specific use case using Standard SQL, you need to read all elements from the array and write them with all other non-array fields in a table. You don't want to lose any records if they don't match records in the array fields. What should you do?

• A.Perform SELECT * FROM tablename.
• B.Perform UNNEST and JOIN with the table to get these results.
• C.Perform UNNEST and INNER JOIN with the table to get these results.
• D.Perform UNNEST and CROSS JOIN with the table to get these results.

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