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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?
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The customer requires an evidence-based response system in order to make better business decisions based upon a broader data set.
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The customer needs to run a NLP (Natural Language Processing) system on their own hardware in their own data center.
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The customer wants to build their own IBM Watson solution by purchasing the IBM products from the platform named Watson Foundations.
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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?
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Dynamic In-Memory processing, Parallel Vector processing, and Data Tiering
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Actionable Compression. Asynchronous Data Processing, Data Tiering, and Data Skipping
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Dynamic In-Memory processing, Actionable Compression, and Asynchronous Data Processing
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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?
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IBM Pure Data for Analytics on IBM SoftLayer.
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IBM System z servers with some LPARS onsite and some on IBM SoftLayer
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Perform analytics with on-premise database and IBM Cognos running on IBM Softlayer.
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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?
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IBM InfoSphere Streams
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IBM Business Process Management
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IBM Analytical Decision Management
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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?
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Data transformations are performed in a specialized tool and dedicated environment.
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Data transformations are performed in the source system to free the target system for analytics.
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Data transformations are performed in parallel with the ability to push processing to the storage engines.
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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?
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SMP
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NUMA
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High performance computing
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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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Real time analytics zone
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Information audit and logging zone
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Extract, translate, and loading zone
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Exploration, landing, and archive zone
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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?
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Archive
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Landing
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Caching
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Exploration
Answer: D
Question No: 19
What can be used as business value entry points when developing an Optimize Operations solution?
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Operation risk, retention
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Harness and analyze all data, govern and protect all data
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Business process operations, infrastructure and asset efficiency
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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?
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Volume, Velocity, and Variety
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Governance, Risk, and Compliance
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Data Architecture. Classification and Metadata, and Audit Information Logging and Reporting
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Data Quality Management. Information Lifecycle Management, and Information Security and Privacy
Answer: A
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