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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. What is the primary purpose of the Airflow Scheduler in Apache Airflow?

A) To execute the code for each task in a DAG
B) To distribute tasks across workers for execution
C) To monitor the state of tasks and trigger them based on their dependencies
D) To provide a user interface for monitoring and managing DAGs

2. When optimizing join operations in a distributed data processing environment, why is it important to co-locate join keys?

A) To minimize data shuffle by ensuring related data is on the same node
B) To enhance data encryption methods for secure joins
C) To increase the storage capacity required for join operations
D) To ensure data integrity by preventing data loss during network transmission

3. Which technique in the Optimization Framework is primarily used to improve query performance by reducing the number of rows to be scanned in a table?

A) Data replication
B) Indexing
C) Data compaction
D) Predicate pushdown

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

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

5. In the context of Spark SQL, what does the Catalyst optimizer use to optimize queries?

A) A cost-based optimization model that considers the size of intermediate data
B) A rule-based optimization model that applies predefined rules to simplify queries
C) Machine learning algorithms to predict the fastest query execution plan

Solutions: