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Cloudera CDP Data Engineer - Certification Sample Questions:

1. You're working with an Airflow DAG that performs data quality checks on sensitive dat a. How can you ensure data security during the checks?

A) Utilize environment variables to store sensitive data and access them within the PythonOperator.
B) Implement data masking techniques to obfuscate sensitive information during the checks.
C) All of the above
D) Store sensitive data like thresholds and comparison values directly within the DAG code.

2. You're using Iceberg for streaming data ingestion. A critical use case requires exactly-once processing guarantees. Which considerations are most important for achieving this? (Choose two)

A) Carefully configuring the streaming source to handle retries and failures
B) Enabling Iceberg's transactional writes
C) Leveraging a CDC (Change Data Captur tool integrated with Iceberg.
D) Using a data format like JSON, which is less prone to corruption than Parquet.
E) Disabling Iceberg's snapshot isolation feature.

3. In Apache Airflow, which operator is best suited for running data quality checks on a Hive table after data ingestion?

A) ShortCircuitOperator
B) HiveOperator
C) PythonOperator
D) BashOperator

4. In the context of caching data for reuse in Spark, how does the Tungsten project contribute to enhancing memory management and execution efficiency?

A) By optimizing Spark's internal memory management and data processing operations
B) By providing a graphical interface for memory management
C) By enforcing strict data typing to reduce runtime type checking overhead
D) By rewriting Spark operations in a lower-level language for direct memory access

5. You need to optimize the performance of a Spark query that involves joining data from multiple Hive tables. What strategies can you employ to improve efficiency?

A) Pre-partition tables based on the join columns for faster data co-location
B) All of the above
C) Use broadcast joins for small tables involved in the join operation
D) Increase the number of Spark executors without any further optimization

Solutions: