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Cloudera CDP Data Engineer - Certification Sample Questions:

1. Which Spark component is responsible for managing the execution of tasks on worker nodes?

A) spark SQL
B) Spark Driver
C) Spark Core
D) Spark Executor

2. An Airflow DAG is designed to ingest data from multiple sources, transform it, and load it into a data warehouse. The transformation step is resource-intensive and should not run during peak hours (9 AM to 5 PM). How can you configure the DAG to meet this requirement?

A) Utilize the BranchPythonOperator to dynamically skip the transformation task during peak hours.
B) Configure the DAG's schedule interval and use the TimeDelta sensor for precise timing.
C) Use the time_sensor operator to delay the transformation task until off-peak hours.
D) Set the max_active_runs parameter to limit executions during peak hours.

3. In a PySpark application, you're writing a function that reads a CSV file and shows the first few rows. Which of the following code snippets correctly accomplishes this task?

A) Option C
B) Option B
C) Option D
D) Option A

4. Which of the following is NOT a factor considered by the Optimization Framework when optimizing a query?

A) User-defined functions (UDFs) complexity
B) Data skewness
C) The phase of the moon
D) Network latency between nodes

5. What technique can be employed to optimize join performance by reducing data shuffle across the network?

A) Decreasing the memory allocated to executors
B) Increasing the number of partitions
C) Using broadcast joins for smaller datasets
D) Partitioning both datasets on a different key

Solutions: