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Foundations of IBM Big Data amp; Analytics Architecture V1

Question No: 11

IBM Watson provides a cognitive system offering the latest combination of products used together to form a Big Data amp; Analytics platform. Why would a customer choose to use IBM Watson?

  1. The customer requires an evidence-based response system in order to make better business decisions based upon a broader data set.

  2. The customer needs to run a NLP (Natural Language Processing) system on their own hardware in their own data center.

  3. The customer wants to build their own IBM Watson solution by purchasing the IBM products from the platform named Watson Foundations.

  4. The customer wants a solution where the IBM Services team does the work required to load data and train Watson for the customers area of expertise.

Answer: C

Question No: 12

What are the key features of IBM DB2 with BLU Acceleration – Power Systems Edition?

  1. Dynamic In-Memory processing, Parallel Vector processing, and Data Tiering

  2. Actionable Compression. Asynchronous Data Processing, Data Tiering, and Data Skipping

  3. Dynamic In-Memory processing, Actionable Compression, and Asynchronous Data Processing

  4. Dynamic In-Memory processing, Actionable Compression, Parallel Vector processing, and Data Skipping

Answer: D

Question No: 13

Company A is planning to sign up for IBM SoftLayer cloud to supplement their existing data centers which they own. Which solution can be deployed in a hybrid cloud model?

  1. IBM Pure Data for Analytics on IBM SoftLayer.

  2. IBM System z servers with some LPARS onsite and some on IBM SoftLayer

  3. Perform analytics with on-premise database and IBM Cognos running on IBM Softlayer.

  4. An IBM InfoSphere Biglnsights Hadoop cluster with some data nodes on-premise and some on IBM SoftLayer.

Answer: C

Question No: 14

Which option best supports the capability of a real time business decision engine to optimize transactional decisions?

  1. IBM InfoSphere Streams

  2. IBM Business Process Management

  3. IBM Analytical Decision Management

  4. IBM Operational Decision Management

Answer: C

Reference: http://www.redbooks.ibm.com/redbooks.nsf/redbookabstracts/tips1287.html?Openamp;c4

Question No: 15

What is required of an integration tool to make it effective in a Big Data amp; Analytics environment?

  1. Data transformations are performed in a specialized tool and dedicated environment.

  2. Data transformations are performed in the source system to free the target system for analytics.

  3. Data transformations are performed in parallel with the ability to push processing to the storage engines.

  4. Data transformations are performed in the target system to free the source system for transactional processing.

Answer: C

Question No: 16

IBM InfoSphere Biglnsights is an example of what type of system architecture?

  1. SMP

  2. NUMA

  3. High performance computing

  4. Distributed computing with shared nothing architecture

Answer: C

Question No: 17

What are the names of the two zones represented by the question marks shown in this diagram?

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  1. Real time analytics zone

  2. Information audit and logging zone

  3. Extract, translate, and loading zone

  4. Exploration, landing, and archive zone

  5. Information cleansing and preparation zone

Answer: A,D

Reference: https://www- 950.ibm.com/events/wwe/grp/grp010.nsf/vLookupPDFs/4.Big Data and Real%2 0time Analytics –

Streams and Hadoop/$file/4.Big Data and Real time Analyti cs – Streams and Hadoop.pdf (See the page #03).

Question No: 18

A customer is concerned about the vast amount of data they receive. They do not know the value of the data, but they want a cost efficient way to capture the data for further analysis. What is this scenario an example of in big data?

  1. Archive

  2. Landing

  3. Caching

  4. Exploration

Answer: D

Question No: 19

What can be used as business value entry points when developing an Optimize Operations solution?

  1. Operation risk, retention

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

  3. Business process operations, infrastructure and asset efficiency

  4. Enable full spectrum of analytics, optimize Big Data amp; Analytics infrastructure

Answer: A

Question No: 20

What are the three core disciplines of the IBM Information Governance Capability Maturity Model?

  1. Volume, Velocity, and Variety

  2. Governance, Risk, and Compliance

  3. Data Architecture. Classification and Metadata, and Audit Information Logging and Reporting

  4. Data Quality Management. Information Lifecycle Management, and Information Security and Privacy

Answer: A

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