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Cloudera CDP Data Engineer - Certification Sample Questions:
1. Which of the following is a best practice for organizing tasks within a DAG in Apache Airflow?
A) Group tasks with similar functionalities using SubDAGs for better readability and maintainability.
B) Use a single Pythonoperator to execute all tasks as functions for efficiency.
C) Dynamically generate tasks at runtime to avoid defining them explicitly in the DAG.
D) Place all tasks directly in the root DAG to simplify monitoring and execution.
2. When tuning Spark applications, why is it important to adjust the spark.executor.cores configuration?
A) To specify the number of tasks that can be run in parallel on a single executor
B) To limit the maximum size of Spark's internal data structures
C) To directly control the amount of memory available to each executor
D) To determine the number of partitions created during shuffle operations
3. While working with Spark SQL, you encounter an error message stating "Unable to resolve table 'table_name"'. What could be the potential cause of this error?
A) The Spark application doesn't have sufficient permissions to access the table
B) The table schema is not compatible with Spark SQL
C) The table doesn't exist in the Hive metastore
D) All of the above
4. Your Spark application encounters frequent failures during the execution of a specific stage. How can you utilize Spark's persistence mechanisms to improve the application's fault tolerance?
A) Persist the RDDs used in the failing stage with MEMORY_ONLY storage level
B) Implement custom retry logic within the failing stage
C) Increase the number of Spark executors to handle potential resource limitations
D) Leverage Spark's checkpointing functionality to save application state periodically
5. In Hive, what impact does setting the hive.exec.dynamic.partition.mode to nonstrict have on dynamic partitioning operations?
A) It restricts the insertion of data to existing partitions only.
B) It enforces that at least one static partition be specified in the query.
C) It disables dynamic partitioning, requiring all partitions to be predefined.
D) It allows the creation of new partitions dynamically based on the input data values.
Solutions:
Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: D |