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Cloudera CDP-3002 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Apache Spark Development & Processing | 48% | - Spark Streaming & Structured Streaming
|
| Topic 2: Deployment & Operations | 10% | - CDP Data Engineering Service
|
| Topic 3: Workflow Orchestration | 15% | - Pipeline Development
|
| Topic 4: Integration & Optimization | 5% | - Hive & Spark Integration
|
| Topic 5: Data Storage & Modeling | 22% | - Distributed Persistence
|
Cloudera CDP Data Engineer - Certification Sample Questions:
1. Which Airflow feature allows you to template your tasks, enabling dynamic generation of task parameters such as table names for data quality checks?
A) Airflow Plugins
B) Jinja Templating
C) XComs
D) Variables
2. What is the primary purpose of the Airflow Scheduler in Apache Airflow?
A) To provide a user interface for monitoring and managing DAGs
B) To monitor the state of tasks and trigger them based on their dependencies
C) To execute the code for each task in a DAG
D) To distribute tasks across workers for execution
3. You need to design a DAG that can be easily monitored and visualized for performance insights. How can you achieve this?
A) Implement alerts and notifications within the DAG to trigger upon specific events or performance thresholds.
B) Implement custom logic within each task to send detailed performance metrics to external monitoring tools.
C) Utilize Airflow's built-in metrics and monitoring features like the Airflow web UI to track DAG execution and task performance.
D) All of the above
4. In optimizing join operations, what role does the Catalyst optimizer in Spark play, specifically regarding join strategies?
A) It disables all optimizations by default to provide consistent performance across different datasets.
B) It exclusively uses broadcast join for all operations to minimize execution time.
C) It manually requires the developer to specify the join strategy for each operation.
D) It dynamically selects the most appropriate join strategy based on the query execution plan.
5. Which of the following is NOT a factor considered by the Optimization Framework when optimizing a query?
A) The phase of the moon
B) Network latency between nodes
C) User-defined functions (UDFs) complexity
D) Data skewness
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: C,D | Question # 4 Answer: D | Question # 5 Answer: A |




