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Cloudera CDP Data Engineer - Certification Sample Questions:

1. 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)

2. You've discovered that a production Iceberg table has several corrupted data files. Which of the following actions could help address this issue?

A) Apply Iceberg's REMOVE ORPHAN FILES procedure.
B) Run the VACUUM procedure on the Iceberg table.
C) Restore the table to a previous snapshot using Iceberg's time travel feature.
D) Drop and recreate the Iceberg table from scratch.

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

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

4. For automating the deployment of Spark applications within a Cloudera Data Engineering (CDE. environment using the CDE CLI, what is the primary consideration to ensure seamless integration with existing CI/CD pipelines?

A) Embedding CDE CLI commands within pipeline scripts and managing credentials securely
B) Ensuring all Spark applications are containerized before deployment
C) Utilizing the cde job create command with appropriate flags for version control integration
D) Converting all Spark code to be Kubernetes-native before deployment

5. You have a DataFrame containing sales data with columns "product_id", "customer id", and "amount". How can you efficiently calculate the total sales per customer?

A) Use a loop to iterate through the DataFrame and accumulate the sales for each customer
B) Utilize spark SQL's GROUP BY and SUM functions
C) Leverage Spark's machine learning library (MLIiB. for aggregation
D) Implement a custom function to group and sum the sales

Solutions: