Cloudera CDP-3002 : CDP Data Engineer - Certification Exam

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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. What is the difference between RDDs and DataFrames in Spark?

A) Both B and C
B) RDDs are lower-level abstractions, while DataFrames offer higher-level functionalities
C) RDDs represent distributed datasets, while DataFrames work with structured data
D) RDDs are mutable, while DataFrames are immutable

2. Which Airflow component is responsible for executing task instances in a distributed manner?

A) Executor
B) Worker
C) Webserver
D) Scheduler

3. A data analyst is performing a join operation in PySpark between a large DataFrame Clarge_df) and a much smaller DataFrame ('small_df). The process is very slow. What can the analyst do to optimize this join operation?

A) Use "key").
B) Apply before the join.
C) Increase the number of partitions in 'small_df'.
D) Utilize the 'broadcast' function in the join operation.

4. As a data engineer, you are working with PySpark to analyze data stored in an HDFS cluster. You need to read a CSV file into a Spark DataFrame. Which of the following code snippets correctly reads the data from HDFS into a DataFrame?

A)

B)

C)

D)

5. What is the correct way to define a start date for a DAG in Apache Airflow, ensuring that the DAG does not trigger immediately upon deployment?

A) Leave the start date undefined.
B) Use ) to automatically set the start date to one day before the current date.
C) Set the start date to a future date using the datetime module.
D) Use datetime.now() as the start date.

Solutions: