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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

Question 1

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

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

Question 2

How can you utilize Spark SQL for complex data analysis involving joins and aggregations on large datasets?

A. By using Spark ML libraries for machine learning tasks on data.
B. By implementing custom logic in RDDs for data manipulation.
C. Both A and B.
D. By directly writing SQL queries against distributed data in Spark.

Question 3

When monitoring a PySpark application in Kubernetes, you notice that Executor pods are frequently restarting. What is the most likely cause of this issue?

A. Executor pods are not configured to restart upon failure.
B. Insufficient memory allocation for Executor pods.
C. Dynamic resource allocation is disabled.
D. Too many tasks assigned to each Executor.

Question 4

Your team is deploying a Spark application on a Kubernetes cluster. To ensure high availability, you need to decide how many executor instances to configure. Which of the following configurations in your PySpark application would correctly set the number of executor instances?

A.

B.

C.

D.

Question 5

Which approach can help mitigate issues with schema inference for complex data types in a big data environment?

A. Decreasing the frequency of data ingestion to reduce processing load
B. Ignoring schema inference and processing all data as plain text
C. Combining schema inference with schema evolution and user-defined schemas for complex datasets
D. Using only traditional RDBMS systems that require explicit schema definitions

Solutions: