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Foundations of IBM Big Data amp; Analytics Architecture V1

Question No: 1

What two statements are true about IBM InfoSphere Streams?

  1. It enables real-time analytics at scale.

  2. It is the IBM implementation of Apache Spark.

  3. It is a powerful parallel engine but it only can process structured data.

  4. It swaps data to disk when large amounts of data need to processed in real-time.

  5. It enables predictive models from IBM SPSS to be deployed for extremely fast scoring.

Answer: B,C

Question No: 2

Which IBM product uses the unique combination of UIMA pipeline for natural language processing and machine learning?

  1. IBM Watson Explorer

  2. IBM Info Share streams

  3. IBM Info Share BigInsights

  4. IBM Watson Content Analytics

Answer: B

Question No: 3

The Fair Information Practice Principles methodology recommends using personal information only for the purposes that are specified when collecting that information. What aspect of security is required to support this principle?

  1. Database activity monitoring

  2. Encryption scrambles sensitive data so that only authorized users can see the clear text information.

  3. Data masking substitutes real data with realistic looking fictitious data to minimize the risk of exposure.

  4. Auditability of where the data came from is needed to track which data was collected for what purpose

Answer: B

Explanation: They can limit access within their company to only necessary employees to protect against internal threats, and they can use encryption and other computer-based security systems to stop outside threats.

Reference: https://en.wikipedia.org/wiki/FTC_Fair_Information_Practice (see the point

#04).

Question No: 4

Which two business value entry points are used when developing an improved IT economics solution?

  1. Retention

  2. Acquisition

  3. govern and protect ail data

  4. Financial performance management

  5. Optimize Big Data amp; Analytics infrastructure

Answer: A,E

Question No: 5

A company quickly ingests, analyzes, and correlates data as it arrives from thousands of sensor devices spread throughout their utility network. Insights derived from this process are turned into actions for automated decision management. The company is performing analytics on which data?

  1. Relational

  2. Data-at-rest

  3. Semantic Data

  4. Data-in-motion

Answer: C

Question No: 6

What are three major types of analytics?

  1. Predictive

  2. Descriptive

  3. Scorecards

  4. Prescriptive

  5. Dashboards

  6. Data Warehouse

Answer: A,B,D

Reference: https://www.google.com.pk/url?sa=tamp;rct=jamp;q=amp;esrc=samp;source=webamp;cd=1amp;ved=0CBsQFjA AahUKEwijqoavzt3IAhXFnaYKHdatAt4amp;url=http://www.informationbuilders.es

/intl/co.uk/presentations/four_types_of_analytics.pdfamp;usg=AFQjCNG_5Aq DOhcBc9jiVSxfS7yIB4XpTgamp;cad=rja

Question No: 7

Which key technology enables elastic storage to be proven, scalable, high-performance data and file management solution?

  1. Tiering

  2. Compression

  3. Apache Hadoop

  4. General Parallel File System

Answer: D

Explanation: proven, scalable, high-performance data and file management solution (based upon IBM General Parallel File System or GPFS technology, also formerly known as code name Elastic Storage

Reference: http://www-03.ibm.com/systems/storage/spectrum/scale/

Question No: 8

Which t\so statements are true about predictive analytics prerequisites?

  1. Predictive analytics require input data to be in aggregate form.

  2. Data for predictive analytics needs to be in third normal form (3NFY

  3. Raw data for predictive analytics needs to be stored in Hadoop first

  4. Data must be sufficient to train a predictive model for the business goal.

  5. Acceptance is required from a business users#39; community of a predictive analytics initiative and management sponsorship.

Answer: A

Question No: 9

What is the business objective of the Manage Risk Imperative?

  1. Helping businesses create value from their information assets.

  2. Performance evaluation and forecasting, reporting, and controls design.

  3. Designing governance processes and implementing mitigation strategies.

  4. Helping clients transform IT infrastructure to meet the demands of their Big Data amp; Analytics strategies.

Answer: C

Question No: 10

Which component of the IBM Social Media Analytics Framework answers the question, quot;What is driving social media activity, behavior, and sentiment?quot;

  1. Social Media Impact

  2. Social Media Discovery

  3. Social Media Relationships

  4. Social Media Segmentation

Answer: D

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