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Cloudera CDP-3002 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: CDP Platform Operations | 15% | - Data Lake and Storage - Cluster Management and Monitoring - Cloudera Data Platform Architecture - Cloudera Flow Management |
| Topic 2: Data Ingestion and Integration | 20% | - CDC (Change Data Capture) - Data Federation - Batch Data Ingestion - Stream Data Ingestion - Data Transformation and ETL |
| Topic 3: Data Quality and Governance | 15% | - Data Lineage - Access Control and Security - Data Catalog and Metadata - Data Validation and Cleansing |
| Topic 4: Data Processing with Spark | 30% | - Spark Structured Streaming - Spark SQL and DataFrames - DataFrame and Dataset APIs - Spark Performance Optimization - Spark Core Concepts |
| Topic 5: Data Pipeline Orchestration | 20% | - Error Handling and Retries - Apache Airflow on CDP - Workflow Dependencies - Pipeline Scheduling and Triggers |
Cloudera CDP Data Engineer - Certification Sample Questions:
Explain the concept of lineage tracking in Spark and its benefits for fault tolerance and debugging.
- A. Both A and B.
- B. It creates a log of all operations performed on data, aiding in debugging issues.
- C. Lineage allows for caching intermediate results, improving performance.
- D. Lineage tracks the dependencies between data transformations, enabling efficient re-execution on failures.
Correct Answer: A 🗳️
Explanation: Only visible for PassSureExam members. You can sign-up / login (it's free).
What is the purpose of the Airflow XCom feature?
- A. To monitor and log the execution of DAGs
- B. To enable communication between tasks in a DAG
- C. To execute tasks on remote machines
- D. To schedule DAG runs at specific intervals
Correct Answer: B 🗳️
Explanation: Only visible for PassSureExam members. You can sign-up / login (it's free).
You're provisioning a new Cloudera Data Engineering (CDE. virtual cluster. Which of the following factors should you consider when choosing an appropriate instance type for Iceberg workloads? (Choose two)
- A. Whether you require GPU acceleration for machine learning tasks integrated with Iceberg
- B. The network bandwidth required by your Iceberg jobs
- C. The expected size of your Iceberg tables
- D. The complexity of your SQL queries and transformations
- E. The type of storage (SSD vs. HDD. needed for optimal performance
Correct Answer: C,E 🗳️
Explanation: Only visible for PassSureExam members. You can sign-up / login (it's free).
When creating a data pipeline in the Cloudera Data Engineering service, what is the primary file format used to define the pipeline steps and configuration?
- A. JSON
- B. Shell script
- C. YAML
- D. Python script
Correct Answer: C 🗳️
Explanation: Only visible for PassSureExam members. You can sign-up / login (it's free).
Your team is using PySpark and wants to ensure task re-execution in case of a node failure. What mechanism in Spark ensures that tasks are retried on other nodes upon failure?
- A. Checkpointing
- B. Task Re-execution
- C. Master Node Redundancy
- D. Data Replication
Correct Answer: B 🗳️
Explanation: Only visible for PassSureExam members. You can sign-up / login (it's free).
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