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Cloudera CDP Data Engineer - Certification Sample Questions:

1. In the context of Spark, what is a potential downside of indiscriminate use of data caching, especially with the MEMORY_AND DISK storage level?

A) It can lead to reduced fault tolerance due to reliance on in-memory storage.
B) It may increase execution time due to overheads from frequent disk 1/0 operations.
C) It enhances data security by storing intermediate results in encrypted form.
D) It can decrease network traffic by reducing the need for data shuffling.

2. What technique can be employed to optimize join performance by reducing data shuffle across the network?

A) Partitioning both datasets on a different key
B) Using broadcast joins for smaller datasets
C) Increasing the number of partitions
D) Decreasing the memory allocated to executors

3. Due to regulatory requirements, you need to permanently delete specific sensitive records from an Iceberg table. Which of the following techniques would be most appropriate?

A) Issue a standard Iceberg DELETE query, as deleted data will automatically be expunged from the table.
B) Modify the data files directly using low-level tools to overwrite the sensitive data.
C) Use Iceberg's EXPIRE SNAPSHOTS procedure to remove snapshots containing the sensitive data.
D) Implement a custom process, leveraging Iceberg's row-level updates to delete the sensitive records and then using file-level operations to physically remove the data.

4. How does Spark handle data shuffling during distributed processing?

A) By transferring only required data between executors
B) Spark doesn't perform data shuffling
C) By storing all data on a single node
D) By broadcasting all data to each executor

5. You're designing a scalable and fault-tolerant Spark application for processing large-scale geospatial dat a. What additional considerations should you take into account beyond the general distributed processing principles?

A) Choose a larger virtual machine size for Spark executors
B) Use a dedicated cluster specifically for geospatial processing tasks
C) Implement custom partitioning strategies based on geospatial coordinates
D) Leverage geospatial libraries like GeoSpark for efficient spatial operations

Solutions: