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IBM Content Analytics and Search V2.2 000-583
Exam Number/Code : 000-583
Exam Name : IBM Content Analytics and Search V2.2
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Questions and Answers : 141Q&As
Update Time : 2012-12-26
To help you achieve 000-583 the most from your unstructured content, this IBM Redbooks® publication provides in-depth information about Content Analytics. This 000-583 book examines the power and capabilities of Content Analytics, explores how it works, and explains how to design, prepare, install, configure, and use it to discover actionable business insights. This book explains how to use the automatic text classification capability, from the IBM Classification Module, with Content Analytics.
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3.When you map the common analysis structure to the index, what are you determining?
A. which users can invoke the REST API to find documents
B. which custom annotators will run in the document processing pipeline
C. the structure of the facet tree that will show up in the text miner application
D. which analysis results are indexed to enable search and text mining on them
4.Which documents from the collection are used to create the clustering proposal?
A. All of the documents in the index are used.
B. A random sample of the number that you specify
C. The first 1000 documents that were added to the index.
D. A round-robin alphabetically ordered sampling from each different crawler
Test 000-583: IBM Content Analytics and Search V2.2
Section 6 - Security (6%)
Administrator access control
Collection access control
LDAP and single-sign-on
Configure user roles
Source repository connections
Search security (document level)
Section 7 - Text Analytics Customizing (10%)
Parsing, break and character rules
Annotations and features
Integration with ICA
Collaborating/Sharing text analytics models
Using Languageware Resource Workbench (LRW)
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