A data engineering team is setting up Airflow in a production environment. They need to ensure that tasks are executed in parallel across multiple workers, and they want to monitor the health of the workers. Which Airflow components should they configure?

Use the SequentialExecutor and configure the Airflow web server.

Use the LocalExecutor and configure the Airflow scheduler.

Use the CeleryExecutor and configure the Flower monitoring tool.

Use the KubernetesExecutor and configure the Airflow CLI.

A data engineering team is designing an Airflow DAG that includes a task to move files from one cloud storage bucket to another. They want to use an operator that is specifically designed for this purpose and can handle large files efficiently. Which operator should they use?

BashOperator with a command-line tool like gsutil or aws s3.

PythonOperator with a custom function using the cloud provider's SDK.

DummyOperator to represent the file transfer, and handle it outside of Airflow.

GCSToGCSOperator or S3ToS3Operator, depending on the cloud provider.

Which core feature of Apache Airflow enables the retry of failed tasks without re-running successful ones?

Task-level retries and dependencies

What is the function of the executor in Apache Airflow?

To store DAG definitions and task results

To run the tasks that the scheduler has queued

To provide a web-based interface for users

To define the dependencies between tasks

Dell Data Engineering Optimize

Domain 6Objective 3

Describe the Use of Apache Airflow DATA-ENGINEERING-OPTIMIZE Practice Questions (Page 1)

Part of the Building Data Pipelines with Python domain, which accounts for 20% of the DATA-ENGINEERING-OPTIMIZE exam.

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Questions 1–5

1application · medium
A data engineering team is setting up Airflow in a production environment. They need to ensure that tasks are executed in parallel across multiple workers, and they want to monitor the health of the workers. Which Airflow components should they configure?
Select an answer first
2expert · medium
A data engineering team is designing an Airflow DAG that includes a task to move files from one cloud storage bucket to another. They want to use an operator that is specifically designed for this purpose and can handle large files efficiently. Which operator should they use?
Select an answer first
3foundation · easy
Which core feature of Apache Airflow enables the retry of failed tasks without re-running successful ones?
Select an answer first
4foundation · easy
What is the function of the executor in Apache Airflow?
Select an answer first
5foundation · easy
Which Airflow operator is specifically designed to execute a Python callable as a task?
Select an answer first

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