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Cloudera CDP Data Engineer - Certification Sample Questions:
1. You're building a complex Airflow DAG with numerous tasks and dependencies. How can you improve the DAG's readability and maintainability?
A) Break down the DAG into smaller sub-DAGs with well-defined functionalities.
B) Use clear and descriptive names for tasks, operators, and variables throughout the DAG code.
C) All of the above
D) Implement extensive logging within each task to capture detailed execution information.
2. Your Iceberg table experiences frequent schema evolution, with new columns being added regularly. Which of the following might you need to adjust to maintain optimal performance?
A) Spark shuffle partitions (spark.sql.shuffle.partitions)
B) The Iceberg table's write format (vl or v2)
C) Iceberg metadata table pruning frequency
D) Kubernetes resource requests for Spark executors
3. For automating the deployment of Spark applications within a Cloudera Data Engineering (CDE. environment using the CDE CLI, what is the primary consideration to ensure seamless integration with existing CI/CD pipelines?
A) Converting all Spark code to be Kubernetes-native before deployment
B) Ensuring all Spark applications are containerized before deployment
C) Embedding CDE CLI commands within pipeline scripts and managing credentials securely
D) Utilizing the cde job create command with appropriate flags for version control integration
4. Your Spark application on Kubernetes requires a secure connection to a database. You've stored the database password in Kubernetes Secrets. How would you typically access this secret in your PySpark application?
A) By reading the secret file from a volume mount
B) Through an external secrets manager
C) By querying the Kubernetes API
D) By using a ConfigMap
5. When would it be advantageous to use both partitioning and bucketing on a Hive table?
A) When data needs to be stored in a single file for archival purposes
B) When managing small datasets to reduce complexity
C) When dealing with large datasets that require efficient querying and data sampling
D) When data security is a primary concern
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: C |






