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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. How can you utilize Spark's lineage tracking feature to improve the efficiency of your data pipelines?

A) Leverage lineage information to identify and recompute only the affected data after failures
B) Spark's lineage tracking doesn't offer any performance benefits
C) Manually track the lineage of each transformation for debugging purposes
D) Use lineage tracking to optimize the order of transformations for better performance

2. What impact does the Spark configuration parameter spark.network.timeout have on Spark streaming applications?

A) It specifies the timeout for network operations such as data shuffle and broadcast.
B) It determines the timeout for connections between executors and the Spark driver, impacting task retries and executor loss detection.
C) It controls the maximum time a Spark streaming application will wait for data before timing out.
D) It sets the timeout for Akka-based network operations, crucial for Spark streaming's stability.

3. What is the difference between RDDs and DataFrames in Spark?

A) RDDs represent distributed datasets, while DataFrames work with structured data
B) RDDs are mutable, while DataFrames are immutable
C) RDDs are lower-level abstractions, while DataFrames offer higher-level functionalities
D) Both B and C

4. 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 table schema is not compatible with Spark SQL
B) The table doesn't exist in the Hive metastore
C) All of the above
D) The Spark application doesn't have sufficient permissions to access the table

5. Your Airflow DAG involves sending notifications upon successful or failed task executions. How can you implement this functionality?

A) Configure the Airflow web Ul to send alerts based on task execution status.
B) Use the EmailOperator to send email notifications with details about the task status.
C) Implement custom logic within each task to send notifications using external libraries.
D) Utilize Airflow variables to store notification details and access them within tasks.

Solutions: