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Cloudera CDP Data Engineer - Certification Sample Questions:

1. Which Spark component is responsible for managing the execution of tasks on worker nodes?

A) spark SQL
B) Spark Executor
C) Spark Driver
D) Spark Core

2. In the context of Cloudera's Optimization Framework, what is the purpose of dynamic partition pruning?

A) To partition data dynamically based on query execution plans
B) To update partition metadata in real-time
C) To increase the size of partitions dynamically based on data volume
D) To dynamically eliminate unnecessary partitions from a query plan based on runtime statistics

3. 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 A
B) Option C
C) Option B
D) Option D

4. A team is planning to use PySpark to read data from an Apache Cassandra database. Which of the following options correctly demonstrates how to load data from a Cassandra table named in the keyspace 'sales'?

A)

B)

C)

D)

5. When configuring a Spark job to run on Kubernetes within the Cloudera Data Engineering (CDE. service, which property is crucial for specifying the Docker image to be used by the executors?

A) spark.executor.image
B) spark.kubernetes.container.image
C) spark.kubernetes.executor.container.image
D) spark.cde.container.image

Solutions: