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Cloudera CDP Data Engineer - Certification Sample Questions:

1. What is the purpose of the Airflow XCom feature?

A) To execute tasks on remote machines
B) To enable communication between tasks in a DAG
C) To schedule DAG runs at specific intervals
D) To monitor and log the execution of DAGs

2. Given a DataFrame containing product information with columns "product_id", "name", and "price", how can you filter and sort the DataFrame to only include products with a price greater than $50 and sort them by price in descending order?

A) Implement a custom function to filter and sort the data
B) Leverage chained conditions and sorting within the filter method
C) Use spark SQL's WHERE clause and ORDER BY statement
D) Use multiple filter and sort calls sequentially

3. If a Spark Driver pod in Kubernetes is reaching its CPU limit and experiencing performance issues, what is the most appropriate first action?

A) Increase the CPU limits in the pod's YAML configuration.
B) Increase the CPU requests in the pod's YAML configuration.
C) Decrease the memory limits in the pod's YAML configuration.
D) Restart the Kubernetes cluster.

4. You need to join a Spark DataFrame with a Hive table. How can you achieve this efficiently?

A) Use Spark SQL syntax with the JOIN clause, specifying the join type and condition
B) Implement custom logic using Spark's RDD operations to join the data
C) Load the Hive table data into the DataFrame and then perform an in-memory join
D) Convert the Hive table to a temporary table and then perform the join with the DataFrame

5. A data engineer needs to query a table stored in Apache Hive using SparkSQL. Which of the following commands correctly retrieves data from a Hive table named 'sales data'?

A)

B)

C)

D)

Solutions: