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

1. You can export documents with text analysis results from IBM Content Analytics to IBM Cognos BI using which export format?

A) XML files.
B) CSV files.
C) Relational database (star-schema tables.)
D) Any of the above.

2. Integrating the IBM Classification Module in the ICA document processing pipeline allows one to:

A) Categorize documents.
B) B and C only.
C) Reduce indexing time.
D) Improve search quality.

3. When you configure a collection, you can enable the system to automatically detect Terms of interest. Of the following statements, which one is INCORRECT?

A) You can enhance the content analytics by including nouns identified in the terms of interest in a custom user dictionary.
B) Terms of interest are only valid for text analytics collections.
C) Similar to the Named Entity Recognition annotator, Terms of interest is only supported by a subset (EN, ES, DE, FR, JA) of the languages supported in ICA.
D) Terms of interest are the relationships between nouns and nearby verbs and adverbs in the text.

4. What application feature is used to provide integration to the IBM Content Collector?

A) Search and Text Miner Export.
B) Crawler plug-in.
C) Real-time NLP API.
D) REST API.

5. The Real-time NLP API has the following requirements, EXCEPT for:

A) The collection's parse and index sessions must be running.
B) The collection can either be a search collection or a text analytics collection.
C) The collection's search session must be running.
D) The NLP REST API accepts both text and binary content.

Solutions: