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Cloudera CDP-3002 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Ingestion and Integration | - Batch and streaming ingestion
|
| Data Governance and Security | - Data governance
|
| Platform Operations | - Cluster and workload management
|
| Data Processing and Transformation | - SQL analytics engines
|
| Data Storage and Modeling | - Data modeling
|
Cloudera CDP Data Engineer - Certification Sample Questions:
Question 1
You encounter an error message stating "Failed to find persisted data for RDD" in your Spark application. What are the potential causes and how can you troubleshoot them?
A. All of the above
B. The RDD was never persisted, or the storage level was set incorrectly
C. Spark encountered a network issue and couldn't access the persisted data
D. The data might have been corrupted or deleted from the storage location
Question 2
Which component of the Cloudera Data Engineering service is responsible for managing and scheduling data pipelines?
A. Cloudera Scheduler
B. CDH Management Console
C. Cloudera Navigator
D. Cloudera Manager
Question 3
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. Snapshots
B. Partitioning
C. Iceberg table constraints (not yet fully supporteD.
D. Manifest files
E. Metadata tables
Question 4
What Airflow feature allows you to template parts of your DAG to dynamically change based on the execution context?
A. XComs
B. PythonOperator
C. Jinja Templating
D. BranchOperator
Question 5
How does Spark achieve fault tolerance during distributed processing?
A. By replicating data across all nodes in the cluster
B. By implementing automatic checkpointing of intermediate results
C. null
D. By restarting failed tasks on different nodes
Solutions:
| Question 1 Answer: A | Question 2 Answer: A | Question 3 Answer: D,E | Question 4 Answer: C | Question 5 Answer: C |
