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IBM M2090-639 Exam Syllabus Topics:

IBM Big Data Sales Mastery Test v1 Sample Questions:

1. Data in a Hadoop cluster is broken down into smaller pieces (called blocks) and distributed throughout the cluster. In this way, the map and reduce functions can be executed on smaller subsets of your larger data sets, and this provides the scalability that is needed for big data processing.
The system that allows this is:

A) NAS
B) Hive
C) All of the above
D) HDFS
E) SAN
F) Jaql

2. Hadoop is designed to scale up from a single server to thousands of machines, but with:

A) None of the above
B) All of the above
C) A very high degree of fault tolerance
D) No Fault tolerance
E) A very low degree of fault tolerance

3. Which of these best describes the role of Infosphere Data Explorer in the IBM Big Data Platform?

A) Analyze raw data
B) Analyze streaming data
C) Store large volumes of data
D) Unlock Big Data

4. Infosphere Streams does not feature:

A) High availability
B) Mining toolkit to score data models in real time
C) Un-clustered runtime for low latency streaming applications
D) Analysis of both structured and unstructured data

5. InfoSphere Streams is capable of integrating with:

A) MySQL
B) All of the above
C) Netezza
D) Informix
E) Microsoft SQL Server
F) Oracle databases

Solutions: