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IBM Big Data Sales Mastery Test v1 Sample Questions:
1. Big Data use cases include:
A) All of the above
B) Reuse of structured data for exploratory analysis
C) Combined high velocity and historical analysis
D) Combined structured and unstructured analysis
E) Pre-processing
2. Infosphere Streams runtime optimizations deliver:
A) No performance improvements
B) Significant performance improvements.
C) Little performance improvements
D) Reasonable performance improvements
3. InfoSphere Streams is capable of integrating with:
A) Oracle databases
B) All of the above
C) Informix
D) MySQL
E) Netezza
F) Microsoft SQL Server
4. Which type of data does Infosphere Data Explorer index and access?
A) Unstructured
B) Semi-structured
C) Structured
D) All the above
5. Infosphere BigInsights enables a computing solution that is:
A) All of the above
B) Cost effective - Hadoop brings massively parallel computing to commodity servers. The result is a sizable decrease in the cost per terabyte of storage.
C) Scalable - New nodes can be added as needed, and added without needing to change data formats.
D) Fault tolerant - When a node is lost, the system redirects work to another location of the data and continues processing.
E) Flexible -Hadoop is schema-less, and can absorb any type of data, structured or not, and from any number of sources.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: A |



