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Cloudera CDP Data Engineer - Certification Sample Questions:

1. You need to monitor the performance and resource usage of your Airflow ETL pipelines. How can you achieve this?

A) Monitor the resource utilization of the entire system, assuming it reflects the pipeline's performance.
B) Utilize Airflow's built-in metrics and monitoring features like the Airflow web UI and command-line tools.
C) You cannot directly monitor Airflow pipelines; rely on external monitoring tools for the underlying infrastructure.
D) Implement custom monitoring scripts to track specific metrics not readily available in Airflow.

2. After running a PySpark job, you want to analyze the performance and identify potential bottlenecks. Which tool should you use for this purpose?

A) Spark Web I-Jl.
B) Hadoop YARN ResourceManager.
C) PySpark SQL CLI.
D) PySpark DataFrame API.

3. You're working with a Hive table containing sensitive dat
a. How can you ensure data security while allowing authorized Spark applications to access the data?
A Store the data in plain text format and restrict access to the HDFS directory

A) Leverage Cloudera Sentry for role-based access control and data masking
B) Use separate clusters for Spark and Hive with stricter security controls
C) Implement custom encryption/decryption logic within your Spark application

4. What is a primary benefit of schema-on-read compared to schema-on-write in big data processing frameworks?

A) It requires all data to conform to a rigid schema before storage.
B) It allows for greater flexibility in data formats and structures at the time of analysis.
C) It significantly reduces the computational overhead during data ingestion.
D) It mandates manual intervention for each data read operation.

5. You're building an Airflow DAG that consists of multiple interdependent ETL pipelines. How can you ensure they execute in the correct order and avoid conflicts?

A) Utilize Airflow sub-DAGs to group related tasks and define dependencies between them.
B) Run all pipelines simultaneously, assuming they are independent.
C) Schedule each pipeline separately with appropriate scheduling intervals.
D) Implement a custom script to manage the execution order of the pipelines.

Solutions: