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Cloudera CDP-3002 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Ingestion and Integration | - Data movement and pipelines
|
| Topic 2: Data Storage and Modeling | - Data modeling
|
| Topic 3: Data Processing and Transformation | - Spark processing
|
| Topic 4: Platform Operations | - Cluster and workload management
|
| Topic 5: Data Governance and Security | - Data governance
|
Cloudera CDP Data Engineer - Certification Sample Questions:
You're building an Airflow ETL pipeline that involves data validation checks. How can you integrate these checks into the pipeline and handle potential failures?
- A. Configure the DAG to send email notifications upon validation failures for manual intervention.
- B. Leverage XCom to share the validation results with downstream tasks for further processing.
- C. Implement the validation checks within custom Python operators and raise exceptions upon failure, triggering downstream tasks to handle the error.
- D. Use the FailoverOperator to automatically skip downstream tasks if the validation check fails.
Correct Answer: C π³οΈ
Explanation: Only visible for DumpExam members. You can sign-up / login (it's free).
You're implementing a data quality process for Iceberg tables in CDP Which of the following Iceberg features can help you enforce constraints and detect data anomalies? (Choose two)
- A. Iceberg table constraints (not yet fully supporteD.
- B. Partitioning
- C. Snapshots
- D. Metadata tables
- E. Manifest files
Correct Answer: D,E π³οΈ
What is a primary consideration when deciding to cache data in a distributed computing environment like Apache Spark?
- A. Caching every dataset regardless of its access frequency
- B. Ensuring data is encrypted before caching
- C. Using disk storage for all cached data to improve fault tolerance
- D. The trade-off between memory usage and computational efficiency
Correct Answer: D π³οΈ
Explanation: Only visible for DumpExam members. You can sign-up / login (it's free).
How does Spark achieve fault tolerance during distributed processing?
- A. By replicating data across all nodes in the cluster
- B. By restarting failed tasks on different nodes
- C. null
- D. By implementing automatic checkpointing of intermediate results
Correct Answer: C π³οΈ
Explanation: Only visible for DumpExam members. You can sign-up / login (it's free).
You are setting up a high-availability Spark cluster and need to configure the master node for recovery using ZooKeeper.
Which configuration should be added to the 'spark-defaults.conf' file?
- A.

- B.

- C.

- D.

Correct Answer: A π³οΈ
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