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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. In a PySpark application, you're writing a function that reads a CSV file and shows the first few rows. Which of the following code snippets correctly accomplishes this task?

A) Option C
B) Option B
C) Option A
D) Option D

2. What is the role of an Operator in an Apache Airflow DAG?
A To schedule DAG runs based on time or external triggers

A) To represent a single task or a step within a DAG
B) To monitor the execution of DAGs and provide notifications
C) To store metadata and logs for tasks and DAGs

3. You're working with a large dataset stored in multiple Parquet files across different HDFS directories. How can you efficiently load and process this data using Spark, ensuring data locality and minimizing shuffle operations?

A) Directly load all files using spark.read.parquet("/path/to/data/")
B) Leverage Spark SQL catalogs and partition discovery
C) Implement a custom function to read each Parquet file individually
D) Use spark.read.parquet("/path/to/data/") with recursive directory listing

4. Which command line tool is essential for interacting with Cloudera's Hadoop ecosystem for file operations?

A) Git
B) Hadoop fs
C) ci-JRL
D) SSH

5. In a multi-tenant Hive environment, how can administrators mitigate the impact of skewed data distributions across bucketed tables to maintain consistent query performance?

A) Disabling bucketing features entirely to prevent skewed distributions.
B) Enforcing a uniform bucket size at the HDFS level, irrespective of the data distribution.
C) By periodically rebalancing data across buckets using custom scripts or tools.
D) Limiting the number of tenants allowed to create bucketed tables.

Solutions: