Google Professional-Cloud-Developer Value Pack (Frequently Bought Together)

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

You are developing a JPEG image-resizing API hosted on Google Kubernetes Engine (GKE).
Callers of the service will exist within the same GKE cluster. You want clients to be able to get the IP address of the service.
What should you do?

• A. Define a GKE Endpoint. Clients should get the endpoint name from the appropriate environment variable in the client container.
• B. Define a GKE Endpoint. Clients should get the endpoint name from Cloud DNS.
• C. Define a GKE Service. Clients should use the name of the A record in Cloud DNS to find the service's cluster IP address.
• D. Define a GKE Service. Clients should use the service name in the URL to connect to the service.

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. Run gcloud bigtable instances list, gcloud redis instances list, and gcloud sql databases list. Use a filter within the application, and then display the results
• C. Run gcloud bigtable instances list, gcloud redis instances list, and gcloud sql databases list. Use -
  -filter flag with each command, and then display the results
• D. 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

You are developing an application hosted on Google Cloud that uses a MySQL relational database schema. The application will have a large volume of reads and writes to the database and will require backups and ongoing capacity planning. Your team does not have time to fully manage the database but can take on small administrative tasks. How should you host the database?

• A. Configure Cloud SQL to host the database, and import the schema into Cloud SQL.
• B. Deploy MySQL from the Google Cloud Marketplace to the database using a client, and import the schema.
• C. Configure Firestore to host the database, and import the data into Firestore.
• D. Configure Cloud Spanner to host the database, and import the schema into Cloud Spanner.
• E. Configure Bigtable to host the database, and import the data into Bigtable.

Your application in production has recently been experiencing reliability issues, and you are unsure how the application will behave in the event of an unexpected failure. You want to assess the application's resilience. What should you do?

• A. Test individual units of code for a critical portion of the application's code. Ensure that unit tests are part of the Cloud Build pipeline.
• B. Perform chaos engineering by intentionally introducing failures into the system. Observe how the application behaves, and ensure that it is able to recover from a failure.
• C. Write end-to-end tests to determine how different microservices interact. Validate that all tests pass.
• D. Perform load testing of the application, and use JMeter for the critical endpoints of the application.Ensure that the application performs as expected under a heavy load.