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  1. Home
  2. Cloudera Certification
  3. CDP-3002 Exam
  4. Cloudera.CDP-3002.v2025-11-21.q109 Dumps
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Question 81

What advanced technique can be used in Hive to optimize queries on bucketed tables by skipping unnecessary data?

Correct Answer: B
Bucket pruning is an advanced technique that can be used in Hive to optimize queries on bucketed tables by skipping unnecessary data. Similar to partition pruning, bucket pruning allows Hive to skip over buckets that do not match the query predicates, thereby reducing the amount of data scanned and improving query performance. This technique relies on the metadata about the buckets and the distribution of data within them to determine which buckets are relevant to the query, enabling more efficient data access patterns.
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Question 82

You're tasked with optimizing the performance of your ETL pipeline in Airflow. What are some potential strategies to consider?

Correct Answer: D
All options listed in D contribute to optimizing Airflow ETL pipeline performance. Optimizing code within operators, utilizing data warehouse features, and increasing worker processes (considering resource constraints) can all lead to improved efficiency.
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Question 83

You're working with a complex DataFrame containing nested structures (e.g., arrays of structs). How can you access and manipulate data within these nested structures?

Correct Answer: B
While direct access A might work for simple cases, it's not flexible for complex structures. Custom functions C can be complex and error-prone.
Spark SQL provides functions like explode to flatten arrays and struct to create complex structures, allowing you to efficiently work with and manipulate nested data.
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Question 84

When using Cloudera's Command Line Interface (CLI), which of the following tasks can be performed?

Correct Answer: C
Using Cloudera's CLI allows for a wide range of administrative tasks, including managing users and setting permissions on HDFS. This capability is crucial for maintaining security and governance within a big data environment, enabling administrators to efficiently manage access controls and permissions from the command line without the need for direct interaction with the Cloudera Manager UI.
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Question 85

Considering the dynamic nature of data workloads, how can Spark's dynamic resource allocation feature impact caching strategies?

Correct Answer: B
Spark's dynamic resource allocation can impact caching strategies by potentially evicting cached data when executors are removed due to reduced workload. This feature adjusts the cluster size based on the workload, adding or removing executors dynamically. While it optimizes resource utilization, it may lead to the eviction of cached data if executors holding that data are decommissioned, which can affect performance if the data needs to be recomputed or fetched again.
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