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IBM InfoSphere BigInsights Technical Mastery Test v2 Sample Questions:
1. Which of the following options is NOT CORRECT?
A) Big data solutions are ideal when all, or most, of the data needs to be analyzed versus a sample of the data; or a sampling of data isn nearlyBig data solutions are ideal when all, or most, of the data needs to be analyzed versus a sample of the data; or a sampling of data isn? nearlyas effective as a larger set of data from which to derive analysis.
B) Big data solutions are ideal for analyzing not only raw structured data, but semi structured and unstructured data from a wide variety ofsources.
C) Big data solutions are ideal for Online Transaction Processing (OLTP) environments.
D) Big data solutions are ideal for iterative and exploratory analysis when business measures on data are not predetermined.
2. What is Hadoop?
A) Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using a simple programming model.
B) Hadoop is a single-node file system used as a base for storing traditional formatted data.
C) Hadoop is programming language capable of transforming raw, unstructured data into plain, regular data readable by traditional data warehouses.
D) Hadoop is a universal Big Data programming language used to query large datasets.
3. What is the difference between Hadoop MapReduce and IBM Adaptive MapReduce feature available in InfoSphere BigInsights?
A) Hadoop MapReduce is optimized for operating on small files or splits, while IBM Adaptive MapReduce is optimized for operating on large files stored in individual blocks.
B) Hadoop Map Reduce is optimized for operating on small files or splits, while IBM Adaptive MapReduce is optimized for operating on largepartitioned files.
C) Hadoop MapReduce is optimized for operating on large files, while IBM Adaptive MapReduce is configurable to operate optimized on large or small files or splits
D) Hadoop MapReduce is optimized for operating on small partitioned tables stored in the HBase component, while IBM? Adaptive MapReduceis optimized for operating on large partitioned files.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: C |
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