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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 for iterative and exploratory analysis when business measures on data are not predetermined.
B) 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.
C) Big data solutions are ideal for Online Transaction Processing (OLTP) environments.
D) Big data solutions are ideal for analyzing not only raw structured data, but semi structured and unstructured data from a wide variety ofsources.
2. What is Hadoop?
A) Hadoop is programming language capable of transforming raw, unstructured data into plain, regular data readable by traditional data warehouses.
B) Hadoop is a single-node file system used as a base for storing traditional formatted data.
C) Hadoop is a framework that allows for the distributed processing of large data sets across clusters of computers using a simple programming model.
D) Hadoop is a universal Big Data programming language used to query large datasets.
3. What is the InfoSphere BigInsights Credential Store?
A) The InfoSphere BigInsights credentials store is a designated folder in the local file system (not HDFS) that stores the authorities and privileges for all users in the BigInsights environment.
B) The InfoSphere BigInsights credentials store is a designated folder on the distributed file system (DFS) that stores passwords, tokens, and other potentially sensitive information.
C) The InfoSphere BigInsights credentials store is a designated file defined by an environment variable that stores the authorities and privileges for all users in the BigInsights environment.
D) The InfoSphere BigInsights credentials store is a table stored in the HBase relational database that stores passwords, tokens, and other potentially sensitive information.
4. What is the difference between Hadoop MapReduce and IBM Adaptive MapReduce feature available in InfoSphere BigInsights?
A) Hadoop Map Reduce is optimized for operating on small files or splits, while IBM Adaptive MapReduce is optimized for operating on largepartitioned files.
B) 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.
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 files or splits, while IBM Adaptive MapReduce is optimized for operating on large files stored in individual blocks.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: C |
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