Cloudera CDP-3002 : CDP Data Engineer - Certification Exam

  • Exam Code: CDP-3002
  • Exam Name: CDP Data Engineer - Certification Exam
  • Updated: Aug 19, 2026   Q&As: 320 Questions and Answers

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Cloudera CDP-3002 Exam Syllabus Topics:
SectionWeightObjectives
Workflow Orchestration15%- Pipeline Development
  • 1. End-to-end data pipeline design
    • 2. Workflow monitoring & alerting
      - Apache Airflow
      • 1. Task dependencies & error handling
        • 2. DAG design & scheduling
          • 3. Incremental data extraction
            Data Storage & Modeling22%- Data Formats & Storage
            • 1. Schema design & evolution
              • 2. Columnar formats (Parquet, ORC)
                - Distributed Persistence
                • 1. Data locality & access patterns
                  • 2. HDFS & cloud storage integration
                    - Apache Iceberg
                    • 1. Partitioning & layout optimization
                      • 2. Table management & ACID compliance
                        Apache Spark Development & Processing48%- Spark Streaming & Structured Streaming
                        • 1. Checkpointing & fault tolerance
                          • 2. Micro-batch & stream processing
                            - Spark SQL & DataFrames
                            • 1. Query optimization & execution plans
                              • 2. DataFrame/Dataset API usage
                                - Performance Optimization
                                • 1. Job tuning, partitioning & bucketing
                                  • 2. Caching & persistence strategies
                                    - Spark Architecture & Execution Model
                                    • 1. Spark application lifecycle
                                      • 2. Distributed data processing concepts
                                        Deployment & Operations10%- Security & Governance
                                        • 1. Access control & authentication
                                          • 2. Data lineage & compliance
                                            - CDP Data Engineering Service
                                            • 1. Environment configuration
                                              • 2. API & CLI usage
                                                Integration & Optimization5%- Troubleshooting
                                                • 1. Resource management
                                                  • 2. Bottleneck identification
                                                    - Hive & Spark Integration
                                                    • 1. Cross-engine query execution
                                                      Cloudera CDP Data Engineer - Certification Sample Questions:

                                                      1. You want to track changes to an Iceberg table over time for auditing purposes. Which combination of Iceberg features would best support this?

                                                      A) Snapshots and partition evolution
                                                      B) Metadata tables and time travel
                                                      C) Snapshots and manifest lists
                                                      D) Hidden partitioning and Iceberg audit logs


                                                      2. In Airflow, what is a Hook used for?

                                                      A) To retry failed tasks automatically
                                                      B) To connect to external systems and databases
                                                      C) To define the execution order of tasks
                                                      D) To visualize task execution and logs


                                                      3. You want to select specific columns from a Spark DataFrame and rename them. How can you achieve this in Spark SQL?

                                                      A) Modify the original DataFrame schema directly
                                                      B) Use the select() method with column names and aliases within parentheses
                                                      C) Use Spark SQL's ALTER TABLE statement to modify the table schema
                                                      D) Implement custom logic to iterate through the DataFrame and create a new one


                                                      4. Which of the following best describes the benefit of combining schema inference with manual schema specification in a data pipeline?

                                                      A) It eliminates the need for data serialization and deserialization.
                                                      B) It offers a balance between flexibility and control, optimizing for both data exploration and consistent processing.
                                                      C) It reduces the diversity of data formats that can be processed.
                                                      D) It mandates that all data conform to a universal schema.


                                                      5. When using Cloudera's Command Line Interface (CLI), which of the following tasks can be performed?

                                                      A) Managing users and setting permissions on HDFS.
                                                      B) Only data ingestion tasks can be automated.
                                                      C) Cluster monitoring and diagnostics cannot be performed.
                                                      D) Modifying the source code of Cloudera Manager.


                                                      Solutions:

                                                      Question # 1
                                                      Answer: B
                                                      Question # 2
                                                      Answer: B
                                                      Question # 3
                                                      Answer: B
                                                      Question # 4
                                                      Answer: B
                                                      Question # 5
                                                      Answer: A

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