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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. You have a PySpark application packaged as 'MyPySparkApp-0. I-py3-none-any.whl'. In your 'app.py', you utilize a function from an external library, 'numpy', listed in your 'requirements.txt'. How should you deploy this application to ensure 'numpy' is available at runtime?

A) Upload 'MyPySparkApp-0.1-py3-none-any.whl' only and submit using 'spark-submit --py-files MyPySparkApp-0.1-py3-none-any.whl'.
B) Upload 'app.py' and manually install 'numpy' on all nodes before submitting using 'spark-submit app.py'.
C) Upload 'app.py' only and submit using 'spark-submit app.py'.
D) Upload both 'app.py' and 'MyPySparkApp-0.1-py3-none-any.whl' and submit using 'spark-submit --py-files MyPySparkApp-0.1-py3-none- any.whl app.py'.

2. For a Hive table that is both partitioned and bucketed, what considerations must be taken into account to optimize a join query involving this table?

A) Ensuring the join columns are neither partitioned nor bucketed as it may lead to increased complexity.
B) Both the partitioning and bucketing columns should align with the join columns where possible to maximize the efficiency of data retrieval.
C) Bucketing considerations are irrelevant in the context of join queries, with partitioning being the sole factor impacting performance.
D) The join should exclusively rely on the partitioned columns, ignoring the bucketed columns for optimal performance.

3. When would it be advantageous to use both partitioning and bucketing on a Hive table?

A) When data security is a primary concern
B) When dealing with large datasets that require efficient querying and data sampling
C) When managing small datasets to reduce complexity
D) When data needs to be stored in a single file for archival purposes

4. When using Cloudera's Command Line Interface (CLI), which of the following tasks can be performed?

A) Modifying the source code of Cloudera Manager.
B) Managing users and setting permissions on HDFS.
C) Cluster monitoring and diagnostics cannot be performed.
D) Only data ingestion tasks can be automated.

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

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

Solutions: