Google Exam Associate Data Practitioner Topic 1 Question 6 Discussion

Actual exam question for Google's Associate Data Practitioner exam

Question #: 6
Topic #: 1

[All Associate Data Practitioner Questions]

Your team is building several data pipelines that contain a collection of complex tasks and dependencies that you want to execute on a schedule, in a specific order. The tasks and dependencies consist of files in Cloud Storage, Apache Spark jobs, and data in BigQuery. You need to design a system that can schedule and automate these data processing tasks using a fully managed approach. What should you do?

AUse Cloud Scheduler to schedule the jobs to run.

BUse Cloud Tasks to schedule and run the jobs asynchronously.

CCreate directed acyclic graphs (DAGs) in Cloud Composer. Use the appropriate operators to connect to Cloud Storage, Spark, and BigQuery.

DCreate directed acyclic graphs (DAGs) in Apache Airflow deployed on Google Kubernetes Engine. Use the appropriate operators to connect to Cloud Storage, Spark, and BigQuery.

Show Suggested Answer

Suggested Answer: C

Using Cloud Composer to create Directed Acyclic Graphs (DAGs) is the best solution because it is a fully managed, scalable workflow orchestration service based on Apache Airflow. Cloud Composer allows you to define complex task dependencies and schedules while integrating seamlessly with Google Cloud services such as Cloud Storage, BigQuery, and Dataproc for Apache Spark jobs. This approach minimizes operational overhead, supports scheduling and automation, and provides an efficient and fully managed way to orchestrate your data pipelines.

by Natalie at Jan 23, 2025, 02:23 AM

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