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Cloudera CDP Data Engineer - Certification Sample Questions:

1. You need to design an Airflow DAG that waits for a specific file to become available before proceeding with the downstream tasks. How can you achieve this dependency?

A) Schedule the DAG to run periodically, hoping the file becomes available eventually.
B) Use the File sensor operator to check for the file's existence and trigger downstream tasks upon its arrival.
C) Implement a custom loop within a Python operator to continuously check for the file until it appears.
D) Configure the source system to notify Airflow when the file is ready for processing.

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

3. What does setting the Spark configuration parameter 'spark.sql.shuffle.partitions' impact?
A The default level of parallelism for joins and aggregations

A) The serialization format of data
B) The compression codec used for shuffle files
C) The memory allocation for executor instances

4. You're experimenting with Iceberg table formats (vl and v2). Which of the following statements is true regarding their differences?

A) V2 supports new data types like UUIDs, which are unavailable in V1.
B) V2 introduces mandatory partitioning, while V1 allows for unpartitioned tables.
C) V2 tables are generally less performant than V1 tables due to added metadata overhead.
D) V2 uses manifest lists instead of manifest files for tracking data files.

5. Which component of the Cloudera Data Engineering service is responsible for managing and scheduling data pipelines?

A) CDH Management Console
B) Cloudera Scheduler
C) Cloudera Manager
D) Cloudera Navigator

Solutions: