IBM P2070-091 : IBM Content Analytics Product Fundamentals Technical Mastery Test v1

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IBM P2070-091 Exam Syllabus Topics:

IBM Content Analytics Product Fundamentals Technical Mastery Test v1 Sample Questions:

Question #1

The overall process through which LanguageWare segments and normalizes text is referred to as

A. Lexical Analysis.
B. Tokenization.
C. Normalization.
D. Part of Speech (POS).

Question #2

Which one of the following elements has the least influence on an ICA Capacity Planning Spreadsheet?

A. Largest document size.
B. Document language.
C. Average document size.
D. Number of documents per collection.

Question #3

What is a means of identifying strings of characters using a formal syntax?

A. Segmentation.
B. Shallow parsing.
C. Regular expressions.
D. Normalization.

Question #4

Assuming you want to export documents to IBM Content Collector, which one of the following options to export crawled or analyzed documents is NOT useful?

A. Specify whether you want to export information about documents that were deleted from the
crawl space since the crawler last checked for new,
changed, and deleted documents.
B. Enable the CAS as XMI format option.
C. Specify whether you want to use the field name or facet path for mapping metadata when the
documents are exported.
D. Specify URI patterns to identify the documents that you want to export.

Question #5

In what order do you follow these steps according to Best Practices? 1. Crawl, parse and index, and inspect the content using the Text Miner application. 2. Integrate ICM and/or develop a custom annotator, and inspect the content using the Text Miner application. 3. Create a small, representative collection of documents. 4. Define new dictionaries, and inspect the content using the Text Miner application.

A. 2/4/3/1
B. 3/4/2/1
C. 3/1/4/2
D. 1/2/3/4

Solutions: