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Cloudera CDP Data Engineer - Certification Sample Questions:

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

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

2. For a dataset that is used multiple times in different transformations but is not large enough to warrant disk storage, which caching level in Apache Spark is most appropriate?

A) MEMORY ONLY
B) MEMORY ONLY SER
C) DISK ONLY
D) MEMORY AND DISK SER

3. In Hive, what impact does setting the hive.exec.dynamic.partition.mode to nonstrict have on dynamic partitioning operations?

A) It disables dynamic partitioning, requiring all partitions to be predefined.
B) It allows the creation of new partitions dynamically based on the input data values.
C) It enforces that at least one static partition be specified in the query.
D) It restricts the insertion of data to existing partitions only.

4. Your project involves integrating Spark with a NoSQL database, MongoDB. You need to write a DataFrame 'df into a MongoDB collection named 'orders'. Which PySpark code snippet correctly achieves this?

A)

B)

C)

D)

5. Which Apache Airflow feature should be used to parameterize a DAG run for running data quality checks on different datasets dynamically?

A) Custom Execution Context
B) XComs
C) Jinja templating
D) Airflow Variables

Solutions: