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Foundations of IBM Big Data amp; Analytics Architecture V1

Question No: 21

Which combination of IBM software solutions delivers up to 82 times faster reporting on an IBM POWER8-based server than a comparable x86 server?

  1. IBM SPSS on an IBM DB2 database

  2. IBMDB2 Analytics Accelerator and IBM CognosPowerCubes

  3. IBM DB2 with BLU Acceleration and IBM Cognos Dynamic Cubes

  4. Apache Hadoop integration with IBM InfoSphere Biglnsights and IBM InfoSphere Streams

Answer: C

Question No: 22

Which statement is true about governance of big data?

  1. The big data domain is mostly limited to analyzing content generated outside the enterprise so strict governance is not critical.

  2. Big data is all about exploration and discovery done in test and sandbox systems which do not need to be methodically governed.

  3. Information integration is needed to correlate new unstructured data with existing data sources which are already strictly governed.

  4. Information integration, data lineage, security, privacy, and master data management are key to long term success of big data analytics.

Answer: D

Question No: 23

A customer operating a quick serve restaurant chain uses an interactive menu system that has the capability to Chang the information presented based on the knowledge of the customer and the preplanned menu selection currently being promoted The marketing departmentuses this information as well as other information such as weather readings, menu item profitability and menu item availability to determine which products to include in

future promotions What type of analytics does this represent?

  1. Structured Analytics

  2. Unstructured Analytics

  3. Data-at-Rest Analytics

  4. Data-at-Motion Analytics

Answer: C

Question No: 24

A Solution Advisor is requested to attend a new customer discovery call to support their Big Data amp; Analytics thinking and planning. The only information she is initially provided is the company background, how they support their industry, their purchasing history for hardware and software, and their general interest in doing more with information analysis. What is the typical first step that she should discuss with the customer?

  1. Identify their business objectives and use cases for Big Data amp; Analytics.

  2. Find out which competitors they are using or considering for Big Data amp; Analytics.

  3. Identify their frustrations and gaps with their current product usage for Big Data amp; Analytics.

  4. Discuss their current product installation and look for cross sell potential for Big Data amp; Analytics solutions.

Answer: A

Question No: 25

The annotators perform which tasks in this information flow diagram for the search and analytics process?

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  1. They work with custom dictionaries, rules, and annotators.

  2. They create searchable indexes/collections with annotations.

  3. They identify and mark concepts relevant for the organization.

  4. They collect documents specialized for types of data sources

Answer: B

Question No: 26

This individual is responsible for defining, developing, and implementing the strategy and methods by which the organization acquires, manages, analyzes, and governs data. Which role does this define Within Big Data and Analytics?

  1. Data Scientist

  2. Business Analyst

  3. Chief Data Officer

  4. Analytic Consumer

Answer: B

Question No: 27

Deploying Big Data amp; Analytics solutions on a cloud platform requires several architectural decisions in order to achieve optimal design. Which statement is true?

  1. Analytic components generally run faster on physical hardware versus virtualized.

  2. Off premise cloud implementation is superior to on premise for data privacy for a big

    data solution.

  3. Big data solutions should always try to scale out (horizontal) instead of scale up (vertical) especially considering z/OS-based solutions.

  4. Requirements for read-heavy versus write-heavy requirements impact technology choices, but in-memory databases improve performance and scale.

Answer: C

Question No: 28

What is an example of a company struggling with the sheer number of quotes coming in to the algorithmic trading application?

  1. Variety

  2. Volume

  3. Velocity

  4. Veracity

Answer: C

Question No: 29

What CO used be used as business value entry points when developing an Acquire. Grow. Retain customer solution?

  1. Personalization, profitability

  2. Harness and analyze all data, govern and protect ad data

  3. Business process operations, infrastructure, and asset efficiency

  4. Planning and performance management, disclosure management and financial close

Answer: D

Question No: 30

A client wants to determine if Social Media Sentiment information is coming from known customers and can be related to a known transaction. Which solution should be considered for identifying the customer who posted the comment?

  1. IBM Big Match

  2. IBM InfoSphere Streams

  3. IBM InfoSphere Biglnsights

  4. IBM InfoSphere Information Server

Answer: C

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