What is the purpose of defining dependencies between tasks in a Cloud Composer DAG?

To specify the order in which tasks must execute based on their dependencies

To ensure tasks run in parallel without any ordering constraints

To allocate compute resources to each task

To define the retry policy for failed tasks

In Cloud Composer, what file defines a workflow's tasks, dependencies, and schedule?

A Cloud Functions configuration file

A Directed Acyclic Graph (DAG) file

A Cloud Composer DAG that runs a data pipeline has been failing for the past few days. You need to understand the pattern of failures and identify any commonalities. Which approach should you use to analyze the failures?

Restart the Cloud Composer environment and monitor if failures continue

Increase the logging level for the DAG and rerun it

Use Cloud Logging to query logs for the DAG and filter by severity, then create a dashboard to visualize failure trends

Manually review the Airflow UI for each failed DAG run

What is a key characteristic of Google Cloud Workflows?

It is a managed Apache Airflow service

It requires managing a Kubernetes cluster

It is designed for long-running batch data processing

It is a serverless orchestration service that uses YAML definitions

Google CloudProfessional Data Engineer

Domain 2Objective 3

2.3 Deploying and Operationalizing the Pipelines PROFESSIONAL-DATA-ENGINEER Practice Questions (Page 3)

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 11–15

11foundation · easy
What is the purpose of defining dependencies between tasks in a Cloud Composer DAG?
Select an answer first
12foundation · easy
In Cloud Composer, what file defines a workflow's tasks, dependencies, and schedule?
Select an answer first
13application · medium
A Cloud Composer DAG that runs a data pipeline has been failing for the past few days. You need to understand the pattern of failures and identify any commonalities. Which approach should you use to analyze the failures?
Select an answer first
14foundation · easy
What is a key characteristic of Google Cloud Workflows?
Select an answer first
15foundation · easy
A data engineering team needs to schedule and monitor a series of interdependent data processing tasks that run on a recurring basis. Which Google Cloud service is a managed Apache Airflow offering that provides workflow orchestration?
Select an answer first

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