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IBM P2090-038 Exam Dumps - Valid Questions Answers

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P2090-038 Questions and Answers

Question # 1

Which of the following options is NOT CORRECT?

A.

Big data solutions are ideal for analyzing not only raw structured data, but semi structured and unstructured data from a wide variety ofsources.

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 iterative and exploratory analysis when business measures on data are not predetermined.

Question # 2

Which of the following options best describes the proper usage of MapReduce jobs in Hadoop environments?

A.

MapReduce jobs are used to process vast amounts of data in-parallel on large clusters of commodity hardware in a reliable, fault-tolerant manner.

B.

MapReduce jobs are used to process small amounts of data in-parallel on expensive hardware, without fault-tolerance.

C.

MapReduce jobs are used to process structured data in sequence, with fault-tolerance.

D.

MapReduce jobs are used to execute sequential search outside the Hadoop environment using a built-in UDF to access information stored in non-relational databases.

Question # 3

What is a major difference between HDFS and GPFS-FPO?

A.

There is no difference, GPFS-FPO is just IBM version of HDFS in BigInsights.

B.

There is no difference, as GPFS-FPO is the new open source standard version for the Hadoop file system.

C.

Unlike HDFS, GPFS-FPO is a kernel level, POSIX compliant, and highly available file system that allows for standard applications to also use the storage area marked for Hadoop use.

D.

Unlike HDFS, GPFS-FPO is a kernel level, POSIX compliant file system that allows for standard applications to also use the storage area marked for Hadoop use. Like HDFS, GPFS-FPO also has an issue with the meta data name node service which may be a single point of failure.

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