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IBM Big Data Fundamentals Technical Mastery Test v1 Sample Questions:

1. What is good fit for Hadoop Distributed File System (HDFS)?

A) Lots of small files.
B) Multiple writers accessing the same file.
C) Applications requiring low latency data access.
D) Applications requiring high throughput of data.

2. What is the difference between Hadoop?s MapReduce and IBM?s Adaptive MapReduce feature available in InfoSphere BigInsights?

A) 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.
B) 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.
C) 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.
D) 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.

3. How do enterprises leverage big data platforms?

A) By sitting on top of a large data warehouse solution acting as transparent abstract conversion layer allowing enterprises to query unstructured data.
B) By isolating workloads into a single node, and further processing all the data in sequence.
C) By storing all of the data in its native business object format, so the enterprise can get value out of it through massive parallelism using readily available components.
D) By modifying the data being streamed using pre-existing ETL transformations, and storing the final formatted data into a data warehouse for further enterprise analysis.

4. Which of the following connectivity modules is provided by InfoSphere Data Explorer?

A) Discovery Module
B) Federation Module
C) Navigation Module
D) Language Module

Solutions: