A Cloud Composer DAG that processes daily data files has started failing intermittently. You need to identify the root cause. The DAG logs show a 'Task instance did not succeed' error, but the logs are not detailed enough. Which steps should you take to troubleshoot the issue?

Increase the retries for all tasks in the DAG

Restart the Cloud Composer environment and rerun the DAG

Check the Airflow UI for task logs, then enable Cloud Logging and review the logs for the failed task instance

Delete the DAG and recreate it with the same code

What is the purpose of continuous deployment (CD) in a data pipeline context?

To monitor pipeline performance and alert on failures

To automatically deploy pipeline code and configurations to target environments after passing tests

To store pipeline code in a version control system

Google CloudProfessional Data Engineer

Domain 2Objective 3

2.3 Deploying and Operationalizing the Pipelines PROFESSIONAL-DATA-ENGINEER Practice Questions (Page 6)

Part of the Ingesting and processing the data domain, which accounts for ~25% of the PROFESSIONAL-DATA-ENGINEER exam. Google Cloud does not publish an official question count, but from its 120-minute exam (~50–80 total, ~13–20 in this domain), expect 4–7 from this objective — we provide 28 practice questions to prepare you well beyond it. (estimate)

28questions here

6free pages

9concepts

~25%of the exam

Questions 26–28

26application · medium
A Cloud Composer DAG that processes daily data files has started failing intermittently. You need to identify the root cause. The DAG logs show a 'Task instance did not succeed' error, but the logs are not detailed enough. Which steps should you take to troubleshoot the issue?
Select an answer first
27foundation · easy
What is the purpose of continuous deployment (CD) in a data pipeline context?
Select an answer first
28application · medium
You need to orchestrate a workflow that calls a Cloud Run service, waits for its response, and then conditionally calls another Cloud Run service based on the response. The workflow should be serverless and not require managing any infrastructure. Which service should you use?
Select an answer first

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2.3 Deploying and Operationalizing the Pipelines PROFESSIONAL-DATA-ENGINEER Practice Questions (Page 6)

Questions 26–28

A Cloud Composer DAG that processes daily data files has started failing intermittently. You need to identify the root cause. The DAG logs show a 'Task instance did not succeed' error, but the logs are not detailed enough. Which steps should you take to troubleshoot the issue?

What is the purpose of continuous deployment (CD) in a data pipeline context?

You need to orchestrate a workflow that calls a Cloud Run service, waits for its response, and then conditionally calls another Cloud Run service based on the response. The workflow should be serverless and not require managing any infrastructure. Which service should you use?

Keep studying — Ingesting and processing the data