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Google PROFESSIONAL-CLOUD-ARCHITECT Exam Sample Questions

Question # 1

For this question, refer to the Dress4Win case study. Dress4Win has end-to-end tests covering 100% of their endpoints. They want to ensure that the move to the cloud does not introduce any new bugs. Which additional testing methods should the developers employ to prevent an outage?

A. They should enable Google Stackdriver Debugger on the application code to show errors in the code.

B. They should add additional unit tests and production scale load tests on their cloud staging environment.

C. They should run the end-to-end tests in the cloud staging environment to determine if the code is working as intended.

D. They should add canary tests so developers can measure how much of an impact the new release causes to latency.

Answer

B.

They should add additional unit tests and production scale load tests on their cloud staging environment.

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Question # 2

Your solution is producing performance bugs in production that you did not see in staging and test environments. You want to adjust your test and deployment procedures to avoid this problem in the future. What should you do?

A. Deploy fewer changes to production.

B. Deploy smaller changes to production.

C. Increase the load on your test and staging environments.

D. Deploy changes to a small subset of users before rolling out to production.

Answer

D.

Deploy changes to a small subset of users before rolling out to production.

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Question # 3

You are migrating your on-premises solution to Google Cloud in several phases. You will use Cloud VPN to maintain a connection between your on-premises systems and Google Cloud until the migration is completed. You want to make sure all your on-premises systems remain reachable during this period. How should you organize your networking in Google Cloud?

A. Use the same IP range on Google Cloud as you use on-premises

B. Use the same IP range on Google Cloud as you use on-premises for your primary IP range and use a secondary range that does not overlap with the range you use on-premises

C. Use an IP range on Google Cloud that does not overlap with the range you use on-premises

D. Use an IP range on Google Cloud that does not overlap with the range you use on-premises for your primary IP range and use a secondary range with the same IP range as you use on-premises

Answer

D.

Use an IP range on Google Cloud that does not overlap with the range you use on-premises for your
primary IP range and use a secondary range with the same IP range as you use on-premises

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Question # 4

For this question, refer to the TerramEarth case study. A new architecture that writes all incoming data to BigQuery has been introduced. You notice that the data is dirty, and want to ensure data quality on an automated daily basis while managing cost. What should you do?

A. Set up a streaming Cloud Dataflow job, receiving data by the ingestion process. Clean the data in a Cloud Dataflow pipeline.

B. Create a Cloud Function that reads data from BigQuery and cleans it. Trigger it. Trigger the Cloud Function from a Compute Engine instance.

C. Create a SQL statement on the data in BigQuery, and save it as a view. Run the view daily, and save the result to a new table.

D. Use Cloud Dataprep and configure the BigQuery tables as the source. Schedule a daily job to clean the data.

Answer

A.

Set up a streaming Cloud Dataflow job, receiving data by the ingestion process. Clean the data in a Cloud Dataflow pipeline.

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Question # 5

You have an App Engine application that needs to be updated. You want to test the update with production traffic before replacing the current application version. What should you do?

A. Deploy the update using the Instance Group Updater to create a partial rollout, which allows for canary

B. Deploy the update as a new version in the App Engine application, and split traffic between the new and current versions.

C. Deploy the update in a new VPC, and use Google’s global HTTP load balancing to split traffic between the update and current applications.

D. Deploy the update as a new App Engine application, and use Google’s global HTTP load balancing to split traffic between the new and current applicatio

Answer

B.

Deploy the update as a new version in the App Engine application, and split traffic
between the new and current versions.

Explanation:
https://cloud.google.com/appengine/docs/standard/python/splitting-traffi

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