In a Dataproc Workflow Template, what defines the order in which jobs are executed?

The order they are listed in the template

A data engineer is troubleshooting a Dataflow pipeline that is failing intermittently. They need to identify the pattern of failures and correlate them with system metrics. What is the most effective approach?

Use Cloud Logging to search for error logs and Cloud Monitoring to view pipeline metrics, then correlate timestamps.

Look at the Dataflow job UI for the overall job status.

Restart the pipeline and hope the failures stop.

Check Cloud Monitoring dashboards for project-level CPU usage.

A data engineering team uses Cloud Composer to orchestrate a complex pipeline with many tasks and dependencies. They need to monitor the health of the Airflow environment and get alerted if a DAG run fails. What should they configure?

Set up Cloud Monitoring alerts on Airflow metrics and log-based metrics for DAG failures.

Enable Cloud Logging and manually review logs every day.

Create a Cloud Scheduler job that runs a query against the Airflow database.

Use the Airflow UI to check DAG status periodically.

Google CloudAssociate Data Practitioner

Domain 3Objective 2

3.2 Schedule, Automate, and Monitor Basic Data Processing Tasks ASSOCIATE-DATA-PRACTITIONER Practice Questions (Page 1)

Part of the Data Pipeline Orchestration domain, which accounts for ~18% of the ASSOCIATE-DATA-PRACTITIONER exam.

37questions here

8free pages

14concepts

~18%of the exam

Questions 1–5

1foundation · easy
In a Dataproc Workflow Template, what defines the order in which jobs are executed?
Select an answer first
2expert · hard
A data engineer is troubleshooting a Dataflow pipeline that is failing intermittently. They need to identify the pattern of failures and correlate them with system metrics. What is the most effective approach?
Select an answer first
3application · medium
A data engineering team uses Cloud Composer to orchestrate a complex pipeline with many tasks and dependencies. They need to monitor the health of the Airflow environment and get alerted if a DAG run fails. What should they configure?
Select an answer first
4foundation · easy
A data team needs to orchestrate a complex pipeline with multiple interdependent tasks, including data extraction, transformation, and loading, with custom retry logic. Which Google Cloud service is best suited for this workflow orchestration?
Select an answer first
5foundation · easy
In Cloud Monitoring, what is the name of the component that defines the condition under which a notification is sent?
Select an answer first

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3.2 Schedule, Automate, and Monitor Basic Data Processing Tasks ASSOCIATE-DATA-PRACTITIONER Practice Questions (Page 1)

Questions 1–5

In a Dataproc Workflow Template, what defines the order in which jobs are executed?

A data engineer is troubleshooting a Dataflow pipeline that is failing intermittently. They need to identify the pattern of failures and correlate them with system metrics. What is the most effective approach?

A data engineering team uses Cloud Composer to orchestrate a complex pipeline with many tasks and dependencies. They need to monitor the health of the Airflow environment and get alerted if a DAG run fails. What should they configure?

A data team needs to orchestrate a complex pipeline with multiple interdependent tasks, including data extraction, transformation, and loading, with custom retry logic. Which Google Cloud service is best suited for this workflow orchestration?

In Cloud Monitoring, what is the name of the component that defines the condition under which a notification is sent?

Keep studying — Data Pipeline Orchestration