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Cloudera CDP-3002 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Integration & Optimization | 5% | - Troubleshooting
|
| Topic 2: Apache Spark Development & Processing | 48% | - Spark SQL & DataFrames
|
| Topic 3: Deployment & Operations | 10% | - Security & Governance
|
| Topic 4: Data Storage & Modeling | 22% | - Distributed Persistence
|
| Topic 5: Workflow Orchestration | 15% | - Pipeline Development
|
Cloudera CDP Data Engineer - Certification Sample Questions:
Question 1
What is the key benefit of using the Cloudera Data Engineering service compared to building and managing data pipelines manually?
A. Faster development time for simple data pipelines.
B. Increased scalability, reliability, and manageability.
C. Cost savings due to open-source technology.
D. Improved data security through proprietary tools.
Question 2
What are the potential consequences of persisting all intermediate RDDs in Spark with the MEMORY ONLY storage level?
A. Improved performance due to faster data access
B. All intermediate data will be automatically persisted to disk
C. No impact on the application, as Spark manages memory efficiently
D. Increased risk of application crashes due to memory exhaustion
Question 3
For scripting and automation purposes, how can Cloudera's CLI tools be integrated into administrative workflows?
A. By creating custom plugins for web browsers to manage Cloudera services.
B. CLI tools cannot be integrated into administrative workflows; they are only for interactive use.
C. Using exclusively manual CLI commands for each task without automation.
D. Incorporating CLI commands into shell scripts or automation tools like Ansible, Chef, or Puppet.
Question 4
Your ETL pipeline processes sensitive dat
a. How can you ensure data security within Airflow?
A. Grant everyone access to the Airflow web UI to monitor and manage the pipeline.
B. Use environment variables to store sensitive credentials for accessing data sources.
C. Store passwords and other sensitive data directly within your Airflow code.
D. Implement encryption for sensitive data at rest and in transit.
Question 5
What is the primary advantage of using Apache Spark for distributed processing compared to traditional single-node processing?
A. Enhanced data security
B. Improved data visualization capabilities
C. Increased storage capacity
D. Faster processing of large datasets
Solutions:
| Question 1 Answer: B | Question 2 Answer: D | Question 3 Answer: D | Question 4 Answer: D | Question 5 Answer: D |
