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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. In the context of packaging a PySpark application, what is the purpose of the 'requirements.txt' file?

A) To define the Spark version compatible with the application.
B) To list all the third-party dependencies required by the application.
C) To list the environment variables needed for the application.
D) To specify the Python version required for the application.

2. In optimizing join operations, what role does the Catalyst optimizer in Spark play, specifically regarding join strategies?

A) It dynamically selects the most appropriate join strategy based on the query execution plan.
B) It manually requires the developer to specify the join strategy for each operation.
C) It disables all optimizations by default to provide consistent performance across different datasets.
D) It exclusively uses broadcast join for all operations to minimize execution time.

3. What is the recommended approach in Apache Airflow for ensuring data quality checks are performed after data is loaded into multiple target systems, which might complete their loading processes at different times?

A) Utilize a BranchPythonOperator to dynamically route the workflow based on system availability.
B) Implement multiple ExternalTaskSensor instances, each waiting for a specific loading task to complete.
C) Use a CrossDagDep operator to manage dependencies across multiple DAGs.
D) Schedule the data quality checks at a fixed delay after the longest expected load time.

4. Your project involves integrating Spark with a NoSQL database, MongoDB. You need to write a DataFrame 'df into a MongoDB collection named 'orders'. Which PySpark code snippet correctly achieves this?

A)

B)

C)

D)

5. What is the primary purpose of using Cloudera's API in a data engineering context?

A) To bypass security configurations for rapid development.
B) To manually configure and start cluster services.
C) To increase the time it takes to deploy applications.
D) To automate the provisioning, configuration, and scaling of clusters.

Solutions: