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Cloudera CDP Data Engineer - Certification Sample Questions:

1. In Apache Airflow, what is the purpose of setting max_active_runs in a DAG's configuration?

A) To determine the maximum number of DAG files that can be parsed at any given time.
B) To control the number of retries for a failed task.
C) To specify the maximum number of DAG runs that can be executed in parallel.
D) To limit the number of task instances that can run concurrently within the DAG.

2. You're working with a DataFrame containing customer data, including a "purchase_date" column. How can you calculate the average purchase amount per month for the past year?

A) Use Spark SQL's MONTH function and AVG function with appropriate windowing
B) Loop through the DataFrame and group purchases by month, calculating the average manually
C) Utilize Spark's machine learning library (MLIiB. for time series analysis
D) Convert the "purchase_date" column to a string and filter based on the year

3. When deploying a packaged PySpark application using 'spark-submit', which option is used to include the packaged dependencies?

A) -files
B) --py-files
C) --packages
D) --jars

4. You need to update several rows in a large Iceberg table. Which of the following approaches would likely be the most efficient?

A) Use the Iceberg MERGE INTO syntax for row-level updates.
B) Employ Iceberg's time travel feature to revert to an older snapshot and reapply changes.
C) Read the entire table, make changes in Spark, and overwrite the table.
D) Use the Iceberg DELETE and INSERT operations together.

5. Which of the following is a critical consideration when deciding between using a sort merge join and a shuffle hash join in a distributed data processing system like Spark?

A) The version of the Spark cluster being used
B) The network latency between nodes in the cluster
C) The availability of secondary indexes on the join keys
D) The relative size of the datasets and the available memory on each executor

Solutions: