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Cloudera CDP-3002 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Governance and Security | - Data governance
|
| Topic 2: Data Storage and Modeling | - Data modeling
|
| Topic 3: Data Processing and Transformation | - Spark processing
|
| Topic 4: Platform Operations | - Cluster and workload management
|
| Topic 5: Data Ingestion and Integration | - Data movement and pipelines
|
Cloudera CDP Data Engineer - Certification Sample Questions:
Question 1
You have a DataFrame containing sales data with columns "product_id", "customer id", and "amount". How can you efficiently calculate the total sales per customer?
A. Use a loop to iterate through the DataFrame and accumulate the sales for each customer
B. Implement a custom function to group and sum the sales
C. Leverage Spark's machine learning library (MLIiB. for aggregation
D. Utilize spark SQL's GROUP BY and SUM functions
Question 2
Which of the following is true about the Airflow Webserver?
A It schedules and executes tasks.
A. It stores metadata about DAGs and their execution status.
B. It is used exclusively for monitoring pipeline logs.
C. It provides a user interface for DAG configuration and monitoring.
Question 3
Your ETL pipeline processes sensitive dat
a. How can you ensure data security within Airflow?
A. Implement encryption for sensitive data at rest and in transit.
B. Grant everyone access to the Airflow web UI to monitor and manage the pipeline.
C. Store passwords and other sensitive data directly within your Airflow code.
D. Use environment variables to store sensitive credentials for accessing data sources.
Question 4
You encounter an error message stating "Task timed out" while running your Airflow DAG. What are some potential causes and how can you troubleshoot them?
A. All of the above
B. The DAG is running too frequently, overloading the system resources.
C. The extraction task is encountering issues connecting to the source system.
D. The data processing task is taking longer than the configured timeout for the task.
Question 5
What is the recommended way to handle dependencies between data quality checks in Apache Airflow to ensure that checks are performed in a specific sequence?
A. Use the depends_on_past parameter in each data quality check task.
B. Explicitly set task dependencies using the set_upstream or set_downstream methods.
C. Use the SequentialExecutor for the Airflow environment.
D. Implement each data quality check as a separate DAG.
Solutions:
| Question 1 Answer: D | Question 2 Answer: A | Question 3 Answer: A | Question 4 Answer: A | Question 5 Answer: B |
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