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Cloudera CDP Data Engineer - Certification Sample Questions:

1. What is the key benefit of using the Cloudera Data Engineering service compared to building and managing data pipelines manually?

A) Improved data security through proprietary tools.
B) Faster development time for simple data pipelines.
C) Cost savings due to open-source technology.
D) Increased scalability, reliability, and manageability.

2. What is the recommended approach in Apache Airflow for ensuring data quality checks are performed after data is loaded into multiple target systems, which might complete their loading processes at different times?

A) Schedule the data quality checks at a fixed delay after the longest expected load time.
B) Implement multiple ExternalTaskSensor instances, each waiting for a specific loading task to complete.
C) Use a CrossDagDep operator to manage dependencies across multiple DAGs.
D) Utilize a BranchPythonOperator to dynamically route the workflow based on system availability.

3. Explain the concept of lineage tracking in Spark and its benefits for fault tolerance and debugging.

A) Lineage allows for caching intermediate results, improving performance.
B) Lineage tracks the dependencies between data transformations, enabling efficient re-execution on failures.
C) It creates a log of all operations performed on data, aiding in debugging issues.
D) Both A and B.

4. You're given a DataFrame containing information about flights, including columns "origin", "destination", and "delay_minutes". How can you find the top 5 origin airports with the most delayed flights on average?

A) Implement a custom function to calculate average delays for each origin and then sort and filter
B) Use groupBy and avg on "delay_minutes", then sort by the average in descending order and limit to top 5
C) Leverage Spark SQL's RANK function along with windowing to identify top 5 origins
D) Use Spark's machine learning library (MLIiB. for ranking and classification

5. 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) Snapshots and manifest lists
C) Hidden partitioning and Iceberg audit logs
D) Metadata tables and time travel

Solutions: