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Cloudera CDP Data Engineer - Certification Sample Questions:

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

2. Your Airflow DAG involves sending notifications upon successful or failed task executions. How can you implement this functionality?

A) Configure the Airflow web Ul to send alerts based on task execution status.
B) Implement custom logic within each task to send notifications using external libraries.
C) Use the EmailOperator to send email notifications with details about the task status.
D) Utilize Airflow variables to store notification details and access them within tasks.

3. 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) PySpark SQL CLI.
C) Hadoop YARN ResourceManager.
D) PySpark DataFrame API.

4. Your Airflow DAG includes tasks that can potentially fail due to various reasons. How can you handle such failures and ensure the overall workflow continues as intended?

A) Utilize Airflow XCom to share information about failed tasks with downstream tasks for alternative processing.
B) All of the above
C) Implement custom logic within each task to handle potential errors and retry failed tasks manually.
D) Configure the DAG to automatically retry failed tasks a specific number of times.

5. What is the primary consideration when choosing the number of buckets in a Hive table?

A) The number of rows in each partition
B) The total storage capacity of the HDFS cluster
C) The number of nodes in the Hadoop cluster
D) The expected distribution of data across the bucketing column

Solutions: