In the context of data quality checks with Apache Airflow, what is the primary purpose of using the EmailOperator?

• A.To execute quality checks on email data
• B.To retry failed tasks via email commands
• C.To notify team members of failed data quality checks
• D.To collect data from email attachments for quality checks

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In Apache Airflow, how does the "catchup" parameter in a DAG definition influence the scheduling of DAG runs when backfilling data?

• A.It disables backfilling entirely, ensuring that only future DAG runs are executed.
• B.It enables backfilling, causing Airflow to schedule DAG runs for all intervals between the DAG's start_date and the current date.
• C.It limits the number of backfilled DAG runs to the most recent execution interval only.
• D.It forces Airflow to ignore the start_date and schedule the DAG run immediately.

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What is the primary advantage of using Apache Spark for distributed processing compared to traditional single-node processing?

• A.Improved data visualization capabilities
• B.Increased storage capacity
• C.Faster processing of large datasets
• D.Enhanced data security

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Which Airflow operator is best used for executing a Python function as part of a DAG?

• A.BashOperator
• B.PythonOperator
• C.SimpleHttpOperator
• D.Dockeroperator

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What is the key benefit of using the Cloudera Data Engineering service compared to building and managing data pipelines manually?

• A.Cost savings due to open-source technology.
• B.Increased scalability, reliability, and manageability.
• C.Improved data security through proprietary tools.
• D.Faster development time for simple data pipelines.

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