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最新的 Cloudera Certification CDP-3002 免費考試真題:

1. What does setting the Spark configuration parameter spark.sql.shuffle.partitions impact?

A) The compression codec used for shuffle files
B) The serialization format of data
C) The memory allocation for executor instances
D) The default level of parallelism for joins and aggregations

2. In the context of dynamic partitioning in Hive, what challenge does the use of too many dynamic partitions in a single load operation present?

A) It enhances data security by segmenting data into finer-grained partitions.
B) It simplifies the management of Hive metadata, reducing the load on the NameNode.
C) It can lead to an excessive number of small files, negatively impacting HDFS performance.
D) It automatically disables the execution of map-reduce jobs.

3. What benefit does bucketing provide for join operations in Hive?

A) It can reduce the cost of joins by enabling map-side joins.
B) It enables cross-database joins by default.
C) It allows for the join condition to be omitted in queries.
D) It ensures data privacy by encrypting join keys.

4. Which of the following statements best describes the process of schema inference in the context of big data processing?

A) Assigning random data types to columns in unstructured data.
B) Encrypting data based on its type.
C) Manually defining the schema for each dataset before processing.
D) Automatically determining the data structure of a dataset.

5. What is the primary advantage of using Apache Spark for distributed processing compared to traditional single-node processing?

A) Increased storage capacity
B) Enhanced data security
C) Improved data visualization capabilities
D) Faster processing of large datasets

問題與答案：