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Cloudera CDP Data Engineer - Certification Sample Questions:

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

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. How does the Cloudera Data Engineering service integrate with cloud storage solutions like Amazon S3 or Azure Blob Storage?

A) Requires custom scripting for each cloud storage provider.
B) Utilizes built-in connectors for seamless access.
C) Requires manual configuration for each storage bucket.
D) Not directly supported, requires external tools.

4. 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 multiple filter and sort calls sequentially
D) Use spark SQL's WHERE clause and ORDER BY statement

5. For a dataset that is used multiple times in different transformations but is not large enough to warrant disk storage, which caching level in Apache Spark is most appropriate?

A) DISK ONLY
B) MEMORY ONLY
C) MEMORY AND DISK SER
D) MEMORY ONLY SER

Solutions: