Practice Free Professional Cloud Developer Exam Online Questions
The new version of your containerized application has been tested and is ready to deploy to production on Google Kubernetes Engine. You were not able to fully load-test the new version in pre-production environments, and you need to make sure that it does not have performance problems once deployed. Your deployment must be automated.
What should you do?
- A . Use Cloud Load Balancing to slowly ramp up traffic between versions. Use Cloud Monitoring to look for performance issues.
- B . Deploy the application via a continuous delivery pipeline using canary deployments. Use Cloud Monitoring to look for performance issues. and ramp up traffic as the metrics support it.
- C . Deploy the application via a continuous delivery pipeline using blue/green deployments. Use Cloud Monitoring to look for performance issues, and launch fully when the metrics support it.
- D . Deploy the application using kubectl and set the spec.updateStrategv.type to RollingUpdate. Use Cloud Monitoring to look for performance issues, and run the kubectl rollback command if there are any issues.
C
Explanation:
https://cloud.google.com/architecture/implementing-deployment-and-testing-strategies-on-gke#perform_a_bluegreen_deployment
You are designing a schema for a Cloud Spanner customer database. You want to store a phone number array field in a customer table. You also want to allow users to search customers by phone number.
How should you design this schema?
- A . Create a table named Customers. Add an Array field in a table that will hold phone numbers for the customer.
- B . Create a table named Customers. Create a table named Phones. Add a CustomerId field in the Phones table to find the CustomerId from a phone number.
- C . Create a table named Customers. Add an Array field in a table that will hold phone numbers for the customer. Create a secondary index on the Array field.
- D . Create a table named Customers as a parent table. Create a table named Phones, and interleave this table into the Customer table. Create an index on the phone number field in the Phones table.
Your team is developing unit tests for Cloud Function code. The code is stored in a Cloud Source Repositories repository. You are responsible for implementing the tests. Only a specific service account has the necessary permissions to deploy the code to Cloud Functions. You want to ensure that the code cannot be deployed without first passing the tests.
How should you configure the unit testing process?
- A . Configure Cloud Build to deploy the Cloud Function. If the code passes the tests, a deployment approval is sent to you.
- B . Configure Cloud Build to deploy the Cloud Function, using the specific service account as the build agent. Run the unit tests after successful deployment.
- C . Configure Cloud Build to run the unit tests. If the code passes the tests, the developer deploys the Cloud Function.
- D . Configure Cloud Build to run the unit tests, using the specific service account as the build agent. If the code passes the tests, Cloud Build deploys the Cloud Function.
You are using Cloud Build to build a Docker image. You need to modify the build to execute unit and run integration tests. When there is a failure, you want the build history to clearly display the stage at which the build failed.
What should you do?
- A . Add RUN commands in the Dockerfile to execute unit and integration tests.
- B . Create a Cloud Build build config file with a single build step to compile unit and integration tests.
- C . Create a Cloud Build build config file that will spawn a separate cloud build pipeline for unit and Integration tests.
- D . Create a Cloud Build build config file with separate cloud builder steps to compile and execute unit and integration tests.
You manage your company’s ecommerce platform’s payment system, which runs on Google Cloud. Your company must retain user logs for 1 year for internal auditing purposes and for 3 years to meet compliance requirements. You need to store new user logs on Google Cloud to minimize on-premises storage usage and ensure that they are easily searchable. You want to minimize effort while ensuring that the logs are stored correctly.
What should you do?
- A . Store the logs in a Cloud Storage bucket with bucket lock turned on.
- B . Store the logs in a Cloud Storage bucket with a 3-year retention period.
- C . Store the logs in Cloud Logging as custom logs with a custom retention period.
- D . Store the logs in a Cloud Storage bucket with a 1-year retention period. After 1 year, move the logs to another bucket with a 2-year retention period.
C
Explanation:
https://cloud.google.com/logging/docs/buckets#custom-retention
Your application is controlled by a managed instance group. You want to share a large read-only data set between all the instances in the managed instance group. You want to ensure that each instance can start quickly and can access the data set via its filesystem with very low latency. You also want to minimize the total cost of the solution.
What should you do?
- A . Move the data to a Cloud Storage bucket, and mount the bucket on the filesystem using Cloud Storage FUSE.
- B . Move the data to a Cloud Storage bucket, and copy the data to the boot disk of the instance via a startup script.
- C . Move the data to a Compute Engine persistent disk, and attach the disk in read-only mode to multiple Compute Engine virtual machine instances.
- D . Move the data to a Compute Engine persistent disk, take a snapshot, create multiple disks from the snapshot, and attach each disk to its own instance.
Your service adds text to images that it reads from Cloud Storage. During busy times of the year, requests to Cloud Storage fail with an HTTP 429 "Too Many Requests" status code.
How should you handle this error?
- A . Add a cache-control header to the objects.
- B . Request a quota increase from the GCP Console.
- C . Retry the request with a truncated exponential backoff strategy.
- D . Change the storage class of the Cloud Storage bucket to Multi-regional.
C
Explanation:
Reference: https://developers.google.com/gmail/api/v1/reference/quota
Your application takes an input from a user and publishes it to the user’s contacts. This input is stored in a table in Cloud Spanner. Your application is more sensitive to latency and less sensitive to consistency.
How should you perform reads from Cloud Spanner for this application?
- A . Perform Read-Only transactions.
- B . Perform stale reads using single-read methods.
- C . Perform strong reads using single-read methods.
- D . Perform stale reads using read-write transactions.
D
Explanation:
Reference: https://cloud.google.com/solutions/best-practices-cloud-spanner-gaming-database
Your application takes an input from a user and publishes it to the user’s contacts. This input is stored in a table in Cloud Spanner. Your application is more sensitive to latency and less sensitive to consistency.
How should you perform reads from Cloud Spanner for this application?
- A . Perform Read-Only transactions.
- B . Perform stale reads using single-read methods.
- C . Perform strong reads using single-read methods.
- D . Perform stale reads using read-write transactions.
D
Explanation:
Reference: https://cloud.google.com/solutions/best-practices-cloud-spanner-gaming-database
Your application takes an input from a user and publishes it to the user’s contacts. This input is stored in a table in Cloud Spanner. Your application is more sensitive to latency and less sensitive to consistency.
How should you perform reads from Cloud Spanner for this application?
- A . Perform Read-Only transactions.
- B . Perform stale reads using single-read methods.
- C . Perform strong reads using single-read methods.
- D . Perform stale reads using read-write transactions.
D
Explanation:
Reference: https://cloud.google.com/solutions/best-practices-cloud-spanner-gaming-database