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Cloudera CDP Data Engineer - Certification Sample Questions:

1. How does Apache NiFi support schema inference during data flow management?

A) By manually specifying schemas for each data source
B) By enforcing static schemas for all data flows
C) Utilizing external schema repositories exclusively for schema management
D) Through processors that automatically detect data formats and schemas

2. In a Kubernetes environment, you want to restrict the communication to your Spark application pods to only allow traffic from pods in a specific namespace. Which Kubernetes feature would you use to implement this?

A) StatefulSets
B) Network Policies
C) Deployments
D) Service Mesh

3. When analyzing an Explain Plan, what does the presence of a large number of "Nested Loop Joins" indicate about a query's potential performance?

A) It suggests that the query is fully optimized for distributed execution
B) It guarantees optimal performance for all dataset sizes
C) It implies that the data is perfectly partitioned for the query
D) It may indicate potential performance issues for large datasets due to the high computational cost

4. A colleague proposes using Iceberg's optimistic locking feature for a high-concurrency scenario where multiple jobs frequently modify the same table. What potential issues should you raise?

A) Iceberg's optimistic locking isn't suitable for distributed environments like CDP.
B) Iceberg's optimistic locking requires manual conflict resolution.
C) Optimistic locking in Iceberg introduces a significant performance overhead.
D) Optimistic locking might result in many failed transactions and retries, potentially leading to job instability.

5. An Airflow DAG designed to run a sequence of data validation checks generates a dynamic number of validation tasks based on the incoming data's characteristics. Each validation task must complete successfully before a final data processing task can begin. Which Airflow feature is most suitable for implementing this pattern?

A) The TriggerDagRunOperator
B) SubDAGs
C) The Dynamic Task Mapping feature
D) A BranchPythonOperator with a follow-up Join task

Solutions: