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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

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

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

2. You're building a Spark application that involves complex iterative data processing. Which option allows you to efficiently access and update intermediate results between iterations?

A) Implement custom data structures for managing intermediate data
B) Store intermediate results in temporary tables using Spark SQL
C) Use Spark's broadcast variables for frequently accessed data across iterations
D) Leverage Spark's in-memory caching capabilities with rdd.cache()

3. You're working with a large dataset that needs to be partitioned and processed in chunks to improve efficiency. How can you achieve this using Airflow operators?

A) Configure the source system to provide the data pre-partitioned for efficient processing.
B) Implement a custom Python script to handle partitioning and then use the BashOperator to execute the script within the DAG.
C) Use the Split Operator to divide the data into smaller subsets and chain them with downstream processing tasks.
D) Leverage the File transform operator to partition the data based on specific criteria within the operator itself.

4. Your Airflow DAG involves tasks that require access to specific resources like databases or external services. How can you ensure these resources are available and properly configured for the DAG execution?

A) Grant everyone access to all resources to avoid potential configuration issues.
B) Implement custom logic within each task to dynamically discover and connect to resources.
C) Utilize Airflow connections to store and manage resource details securely.
D) Hardcode connection details (credentials, URLs) directly within the DAG code.

5. You're implementing a data quality process for Iceberg tables in CDP Which of the following Iceberg features can help you enforce constraints and detect data anomalies? (Choose two)

A) Snapshots
B) Iceberg table constraints (not yet fully supporteD.
C) Partitioning
D) Manifest files
E) Metadata tables

Solutions: