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Cloudera CDP-3002 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Ingestion and Integration | - Batch and streaming ingestion
|
| Topic 2: Data Storage and Modeling | - Data lake architecture
|
| Topic 3: Platform Operations | - Cluster and workload management
|
| Topic 4: Data Governance and Security | - Security frameworks
|
| Topic 5: Data Processing and Transformation | - Spark processing
|
Cloudera CDP Data Engineer - Certification Sample Questions:
1. Your team is integrating PySpark with a MySQL database. You need to read data from a table named 'employees'. Which of the following PySpark code snippets correctly accomplishes this task?
A)
B)
C)
D) 
2. In Apache Spark, which of the following is the most effective strategy for minimizing data shuffling across nodes in a cluster?
A) Decreasing the number of partitions
B) Increasing the number of partitions
C) Filtering data after a wide transformation
D) Using broadcast variables for small data
3. Which of the following is a benefit of using RESTful APIs with Cloudera Manager for cluster management?
A) The ability to integrate with continuous integration/continuous deployment (CI/CD. pipelines.
B) Reduced compatibility with industry-standard tools and protocols.
C) Increased network latency and overhead.
D) Direct database access to Cloudera Manager's underlying storage mechanism.
4. 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) The data might have been corrupted or deleted from the storage location
B) The RDD was never persisted, or the storage level was set incorrectly
C) All of the above
D) Spark encountered a network issue and couldn't access the persisted data
5. In Spark, when is it most beneficial to use the repartitionByRange method?
A) When minimizing network traffic during shuffle operations is the primary concern.
B) When the data is highly skewed and a uniform distribution of data across partitions is required.
C) When sorting data within each partition by a specified column or set of columns is required.
D) When decreasing the number of partitions to reduce task scheduling overhead.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: C |



