A data team needs to orchestrate a pipeline that involves multiple dependent tasks, including data validation, transformation, and loading into BigQuery. They also need to handle backfills and rerun failed tasks without reprocessing successful ones. Which solution is most appropriate?

Use Dataproc Workflow Templates for the entire pipeline.

Use Cloud Scheduler to trigger each task sequentially.

Use Workflows with retry steps and manual backfill logic.

Use Cloud Composer with Airflow's built-in retry and backfill capabilities.

Google CloudAssociate Data Practitioner

Domain 3Objective 2

3.2 Schedule, Automate, and Monitor Basic Data Processing Tasks ASSOCIATE-DATA-PRACTITIONER Practice Questions (Page 8)

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 36–37

36foundation · easy
A data practitioner is running a Dataflow pipeline and wants to see the progress of each step, including the number of elements processed. Where should they look in the Google Cloud console?
Select an answer first
37expert · hard
A data team needs to orchestrate a pipeline that involves multiple dependent tasks, including data validation, transformation, and loading into BigQuery. They also need to handle backfills and rerun failed tasks without reprocessing successful ones. Which solution is most appropriate?
Select an answer first

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3.2 Schedule, Automate, and Monitor Basic Data Processing Tasks ASSOCIATE-DATA-PRACTITIONER Practice Questions (Page 8)

Questions 36–37

A data practitioner is running a Dataflow pipeline and wants to see the progress of each step, including the number of elements processed. Where should they look in the Google Cloud console?

A data team needs to orchestrate a pipeline that involves multiple dependent tasks, including data validation, transformation, and loading into BigQuery. They also need to handle backfills and rerun failed tasks without reprocessing successful ones. Which solution is most appropriate?

Keep studying — Data Pipeline Orchestration