IBM Big Data Fundamentals Technical Mastery Test v1 - P2090-032 Exam Practice Test

A. Hadoop?s MapReduce is optimized for operating on small files or splits, while IBM?s Adaptive MapReduce is optimized for operating on large files stored in individual blocks.

B. Hadoop?s MapReduce is optimized for operating on small partitioned tables stored in the HBase component, while IBM?s Adaptive MapReduce is optimized for operating on large partitioned files.

C. Hadoop?s MapReduce is optimized for operating on large files, while IBM?s Adaptive MapReduce is configurable to operate optimized on large or small files or splits.

D. Hadoop?s MapReduce is optimized for operating on small files or splits, while IBM?s Adaptive MapReduce is optimized for operating on large partitioned files.

A. Large amounts of unstructured, semi-structured, and structured raw data that cannot be stored, processed or analyzed using traditional relational data warehouses.

B. Only data stored in the BIGDATA table in any relational database.

C. A Hadoop feature capable of processing vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.

D. A database feature capable of converting pre-existing structured data into unstructured raw data.

A. Avro.

B. Zookeeper.

C. Hive.

D. Text analytics.

A. Velocity, Volatility, Variety, Veracity

B. Volume, Volatility, Velocity, Variety

C. Veracity, Variety, Volume, Velocity

D. Variety, Versions, Velocity, Volatility