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Instant Download Cloudera : CDP-3002 Questions & Answers as PDF & Test Engine

CDP-3002
  • Exam Code: CDP-3002
  • Exam Name: CDP Data Engineer - Certification Exam
  • Updated: Jun 09, 2026
  • No. of Questions: 320 Questions and Answers
  • Download Limit: Unlimited
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Cloudera CDP Data Engineer - Certification Sample Questions:

1. What are the potential consequences of persisting all intermediate RDDs in Spark with the MEMORY ONLY storage level?

A) No impact on the application, as Spark manages memory efficiently
B) All intermediate data will be automatically persisted to disk
C) Improved performance due to faster data access
D) Increased risk of application crashes due to memory exhaustion


2. In the context of caching data for reuse in Spark, how does the Tungsten project contribute to enhancing memory management and execution efficiency?

A) By enforcing strict data typing to reduce runtime type checking overhead
B) By optimizing Spark's internal memory management and data processing operations
C) By rewriting Spark operations in a lower-level language for direct memory access
D) By providing a graphical interface for memory management


3. Which Spark SQL join strategy is selected by default when the Catalyst optimizer cannot determine the size of tables involved in a join?

A) CartesianJoin
B) BroadcastHashJoin
C) SortMergeJoin
D) ShuffleHashJoin


4. You're deploying your Airflow DAGs to a production environment. What are some key considerations for ensuring security and reliability?

A) Schedule DAG runs as frequently as possible to ensure real-time data processing.
B) Disable task logging to improve DAG execution performance.
C) Configure Airflow to run with high resource limits to handle unexpected spikes in workload.
D) Implement role-based access control (RBAC. to restrict access to sensitive DAGs and resources.


5. Given a DataFrame containing product information with columns "product_id", "name", and "price", how can you filter and sort the DataFrame to only include products with a price greater than $50 and sort them by price in descending order?

A) Implement a custom function to filter and sort the data
B) Use multiple filter and sort calls sequentially
C) Leverage chained conditions and sorting within the filter method
D) Use spark SQL's WHERE clause and ORDER BY statement


Solutions:

Question # 1
Answer: D
Question # 2
Answer: B
Question # 3
Answer: C
Question # 4
Answer: D
Question # 5
Answer: C

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