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Cloudera CDP Data Engineer - Certification Sample Questions:

1. 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) Utilize environment variables to store the credentials and access them within the tasks.
B) Store the credentials directly within the DAG code, assuming limited access to the codebase.
C) Implement a custom secret management solution outside of Airflow.
D) All of the above

2. How does setting the "priority_weight" parameter in Airflow tasks influence the scheduler's behavior?

A) It allocates more CPIJ and memory resources to tasks with higher priority weights.
B) It sets a fixed time slot during which the task must be executed, overriding the scheduler's automatic timing.
C) It determines the order in which tasks are executed within the same DAG.
D) It influences the order in which tasks are selected for execution across multiple DAGs competing for resources.

3. Your team is integrating PySpark with a MySQL database. You need to read data from a table named 'employees'. Which of the following PySpark code snippets correctly accomplishes this task?

A)

B)

C)

D)

4. You're building an Airflow DAG that involves multiple data processing tasks. How can you handle task dependencies and ensure the tasks execute in the correct order?

A) Define the tasks directly within the DAG code using Python operators and set their dependencies manually.
B) Use the Airflow UI to visually connect the tasks with arrows, indicating their execution order.
C) All of the above
D) Leverage XCom to share data between tasks and define dependencies based on the data availability.

5. A team is planning to use PySpark to read data from an Apache Cassandra database. Which of the following options correctly demonstrates how to load data from a Cassandra table named in the keyspace 'sales'?

A)

B)

C)

D)

Solutions: