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Google Certified Professional - Cloud Developer Sample Questions (Q32-Q37):

NEW QUESTION # 32
Your team is responsible for maintaining an application that aggregates news articles from many different sources. Your monitoring dashboard contains publicly accessible real-time reports and runs on a Compute Engine instance as a web application. External stakeholders and analysts need to access these reports via a secure channel without authentication. How should you configure this secure channel?

A. Add an HTTP(S) load balancer in front of the monitoring dashboard. Set up a Google-managed SSL certificate on the load balancer for traffic encryption.
B. Add an HTTP(S) load balancer in front of the monitoring dashboard. Configure Identity-Aware Proxy to secure the communication channel.
C. Add a public IP address to the instance. Use the service account key of the instance to encrypt the traffic.
D. Use Cloud Scheduler to trigger Cloud Build every hour to create an export from the reports. Store the reports in a public Cloud Storage bucket.

Answer: A

Explanation:
https://cloud.google.com/load-balancing/docs/ssl-certificates/google-managed-certs

NEW QUESTION # 33
Your company has a data warehouse that keeps your application information in BigQuery. The BigQuery data warehouse keeps 2 PBs of user data. Recently, your company expanded your user base to include EU users and needs to comply with these requirements:
Your company must be able to delete all user account information upon user request.
All EU user data must be stored in a single region specifically for EU users.
Which two actions should you take? (Choose two.)

A. Create a Cloud Storage bucket in the EU region to store information for EU users only.
B. Use BigQuery federated queries to query data from Cloud Storage.
C. Create a dataset in the EU region that will keep information about EU users only.
D. Re-upload your data using to a Cloud Dataflow pipeline by filtering your user records out.
E. Use DML statements in BigQuery to update/delete user records based on their requests.

Answer: A,E

Explanation:
Reference:
https://cloud.google.com/solutions/bigquery-data-warehouse

NEW QUESTION # 34
Your application in App Engine standard environment receives a large amount of traffic. You are concerned that deploying changes to the application could affect all users negatively. You want to avoid full-scale load testing due to cost concerns, but you still want to deploy new features as quickly as possible. Which approach should you take?

A. Use App Engine traffic splitting to have a smaller part of the users test out new features, and slowly adjust traffic splitting until all users get the new features.
B. Use the local development environment to perform load testing outside Google Cloud Platform.
C. Before allowing users to access new features, deploy as a new version and perform smoke tests.
Then enable all users to access the new features.
D. Schedule weekly load tests against the production application.

Answer: A

Explanation:
A is incorrect because there are patterns to perform A/B testing and reduce the need for regular independent load tests.
B is incorrect because it does not accurately simulate the production environment.
C is incorrect because smoke tests are still exposing all users to new features immediately as described.
D is correct because traffic splitting allows real user testing without impacting all users and reduces load testing costs.
http://cloud.google.com/trace

NEW QUESTION # 35
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. Include the binary in your Cloud Source Repositories repository and reference it in your build scripts.
B. Build a custom cloud builder image and reference the image in your build steps.
C. Download the binary from the internet during the build process.
D. Ask to have the binary added to the Cloud Build environment by filing a feature request against the Cloud Build public Issue Tracker.

Answer: B

NEW QUESTION # 36
You work for a company that operates an ecommerce website. You are developing a new integration that will manage all order fulfillment steps after orders are placed. You have created multiple Cloud Run functions to process each order. You need to orchestrate the execution of the functions, using the output of each function to determine the flow. You want to minimize the latency of this process. What should you do?

A. Use Cloud Composer to call the functions, and use an Apache Airflow operator to handle the execution logic.
B. Use Workflows to call the functions, and use callbacks to handle the execution logic.
C. Use Cloud Composer to call the functions, and use an Apache Airflow HTTP operator to handle the execution logic.
D. Use Workflows to call the functions, and use conditional jumps to handle the execution logic.

Answer: D

Explanation:
https://cloud.google.com/binary-authorization/docs/making-attestations

NEW QUESTION # 37
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