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Cloudera CDP-3002 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Processing and Transformation | - Spark processing
|
| Data Ingestion and Integration | - Batch and streaming ingestion
|
| Data Governance and Security | - Data governance
|
| Data Storage and Modeling | - Data modeling
|
| Platform Operations | - Cluster and workload management
|
Cloudera CDP Data Engineer - Certification Sample Questions:
When performing a bucketed join between two tables, what must be true for the join to be executed as a map-side join, thereby maximizing performance?
- A. Both tables must be bucketed on the join columns with the same number of buckets and the same hash function.
- B. Only one table needs to be bucketed, regardless of the bucket count.
- C. Both tables must be bucketed on the join columns with a different number of buckets.
- D. Both tables must be partitioned, not bucketed, on the join columns.
Correct Answer: A 🗳️
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How does partition pruning contribute to query performance in the Cloudera Data Platform?
- A. By increasing the number of partitions
- B. By removing unnecessary data replication
- C. By encrypting data at rest
- D. By selecting only relevant partitions for query execution
Correct Answer: D 🗳️
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In Apache Spark, which of the following is the most effective strategy for minimizing data shuffling across nodes in a cluster?
- A. Decreasing the number of partitions
- B. Increasing the number of partitions
- C. Using broadcast variables for small data
- D. Filtering data after a wide transformation
Correct Answer: C 🗳️
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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. Use groupBy and avg on "delay_minutes", then sort by the average in descending order and limit to top 5
- B. Implement a custom function to calculate average delays for each origin and then sort and filter
- C. Use Spark's machine learning library (MLIiB. for ranking and classification
- D. Leverage Spark SQL's RANK function along with windowing to identify top 5 origins
Correct Answer: A 🗳️
Explanation: Only visible for Real4Prep members. You can sign-up / login (it's free).
You want to select specific columns from a Spark DataFrame and rename them. How can you achieve this in Spark SQL?
- A. Use Spark SQL's ALTER TABLE statement to modify the table schema
- B. Implement custom logic to iterate through the DataFrame and create a new one
- C. Use the select() method with column names and aliases within parentheses
- D. Modify the original DataFrame schema directly
Correct Answer: C 🗳️
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