Cloudera Cloudera Certification CDP-3002

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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. You're given a DataFrame containing information about flights, including columns "origin", "destination", and "delay_minutes". How can you find the top 5 origin airports with the most delayed flights on average?

A) Implement a custom function to calculate average delays for each origin and then sort and filter
B) Leverage Spark SQL's RANK function along with windowing to identify top 5 origins
C) Use groupBy and avg on "delay_minutes", then sort by the average in descending order and limit to top 5
D) Use Spark's machine learning library (MLIiB. for ranking and classification

2. How can you dynamically generate tasks in Apache Airflow?

A) By using Python loops to create tasks during DAG parsing
B) By using the Variable feature to store dynamic configurations
C) By defining a Python function inside the DAG file
D) By using the Jinja templating engine

3. In a PySpark application, you're writing a function that reads a CSV file and shows the first few rows. Which of the following code snippets correctly accomplishes this task?

A) Option D
B) Option C
C) Option A
D) Option B

4. You encounter an error during the execution of your Airflow DAG. How can you identify the root cause of the issue and debug it effectively?

A) Inspect the code of failed tasks directly within the Airflow web Ul for potential issues.
B) Rely on the error message displayed on the Airflow UI, even if it's generic.
C) Utilize Airflow logs (scheduler, worker) to analyze detailed error messages and stack traces.
D) All of the above

5. For iterative machine learning algorithms in Spark, which caching level minimizes the trade-off between computation time and storage efficiency?

A) MEMORY AND DISK SER
B) MEMORY ONLY SER
C) MEMORY ONLY
D) DISK ONLY

Solutions: