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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. What benefit does bucketing provide for join operations in Hive?

A) It can reduce the cost of joins by enabling map-side joins.
B) It allows for the join condition to be omitted in queries.
C) It enables cross-database joins by default.
D) It ensures data privacy by encrypting join keys.

2. You're designing a schema for an Iceberg table that will store time-series sensor dat a. Which of the following considerations is most important for optimal query performance and storage efficiency?

A) Pre-aggregating sensor data at hourly intervals before inserting into the Iceberg table.
B) Normalizing sensor data across multiple tables to reduce redundancy.
C) Partitioning the data by both sensor ID and timestamp.
D) Using nested structs to represent the complex structure of sensor readings.

3. In a Kubernetes environment, why is it beneficial to run the Spark Driver in its own pod?

A) To reduce the cost of cloud resources.
B) To use a different programming language for the Driver.
C) To isolate the Driver from Executor pods for security reasons.
D) To automatically scale the Driver based on workload.

4. You want to select specific columns from a Spark DataFrame and rename them. How can you achieve this in Spark SQL?

A) Use the select() method with column names and aliases within parentheses
B) Modify the original DataFrame schema directly
C) Implement custom logic to iterate through the DataFrame and create a new one
D) Use Spark SQL's ALTER TABLE statement to modify the table schema

5. 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) Modify the data files directly using low-level tools to overwrite the sensitive data.
B) 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.
C) Issue a standard Iceberg DELETE query, as deleted data will automatically be expunged from the table.
D) Use Iceberg's EXPIRE SNAPSHOTS procedure to remove snapshots containing the sensitive data.

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