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Cloudera CDP Data Engineer - Certification Sample Questions:
1. You notice degraded read performance on an Iceberg table after many updates and deletes. What maintenance task should you perform to improve this?
A) Delete old snapshots
B) Compact data files
C) Rewrite manifest files
D) Rebuild the Iceberg metadata table
2. You're working with a large DAG that contains numerous tasks and complex dependencies. How can you improve the DAG's readability and maintainability?
A) Utilize comments sparingly within the DAG code, as the logic should be self-explanatory.
B) Use cryptic and abbreviated names for tasks and variables, assuming everyone understands the context.
C) Implement extensive logging within each task, regardless of its purpose, to capture detailed execution information.
D) Break down the DAG into smaller sub-DAGs with well-defined functionalities and clear naming conventions.
3. Your Airflow DAG involves tasks that require access to confidential data like passwords or API keys. How can you securely manage and access these credentials within the DAG?
A) All of the above
B) Utilize environment variables to store the credentials and access them within the tasks.
C) Implement a custom secret management solution outside of Airflow.
D) Store the credentials directly within the DAG code, assuming limited access to the codebase.
4. What is the primary advantage of using Apache Spark for distributed processing compared to traditional single-node processing?
A) Faster processing of large datasets
B) Improved data visualization capabilities
C) Increased storage capacity
D) Enhanced data security
5. A data engineer is deploying a Spark application on a Kubernetes cluster. To minimize downtime during updates, which Kubernetes deployment strategy should be considered?
A) Node Affinity
B) Rolling Updates
C) Pod Autoscaling
D) Persistent Volumes
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: B,C | Question # 4 Answer: A | Question # 5 Answer: B |






