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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. Which tool or API is primarily used for monitoring and inspecting the performance of Spark applications in real-time?
A Spark History Server

A) Hadoop YARN ResourceManager UI
B) Spark Web UI
C) Apache Ambari

2. You're working with an Airflow DAG that performs data quality checks on sensitive dat a. How can you ensure data security during the checks?

A) Store sensitive data like thresholds and comparison values directly within the DAG code.
B) Implement data masking techniques to obfuscate sensitive information during the checks.
C) All of the above
D) Utilize environment variables to store sensitive data and access them within the PythonOperator.

3. You need to design a DAG that can be easily monitored and visualized for performance insights. How can you achieve this?

A) Utilize Airflow's built-in metrics and monitoring features like the Airflow web UI to track DAG execution and task performance.
B) Implement custom logic within each task to send detailed performance metrics to external monitoring tools.
C) All of the above
D) Implement alerts and notifications within the DAG to trigger upon specific events or performance thresholds.

4. You're tasked with scheduling an ETL pipeline in Airflow that extracts data from a database, transforms it, and loads it into a data warehouse. How can you achieve this using Airflow operators?

A) Leverage dedicated operators like PostgresHook for extraction, custom Python operators for transformation, and S3Hook for loading.
B) Implement a single custom Python script containing the entire ETL logic and call it within a BashOperator.
C) Utilize Airflow's built-in ETL operators like BigQueryOperator or MySqlOperator (these operators are specific to certain data sources and not generally applicable for all ETL pipelines).
D) Use three separate Python operators for each stage (extract, transform, loaD. and chain them together in the DAG.

5. Your ETL pipeline processes sensitive dat
a. How can you ensure data security within Airflow?

A) Store passwords and other sensitive data directly within your Airflow code.
B) Grant everyone access to the Airflow web UI to monitor and manage the pipeline.
C) Use environment variables to store sensitive credentials for accessing data sources.
D) Implement encryption for sensitive data at rest and in transit.

Solutions: