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
In text analytics, the process of determining a single string representation for a word or term found in text is known as?

A. Segmentation.
B. Character rules.
C. Shallow parsing.
D. Normalization.

Question #2
What must be installed and configured to integrate ICA to the IBM Case Manager?

A. FileNet P8 Content Engine 5.0 Client.
B. IBM Case Manager Crawler.
C. Both B and C.
D. ODBC Driver.

Question #3
You can export documents with text analysis results from IBM Content Analytics to IBM Cognos BI using which export format?

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

Question #4
With regards to boost word dictionaries, all of the following are true EXCEPT for:

A. You specify boost words in an XML file, and then convert the XML file to a boost word dictionary.
B. Boost word dictionaries are language dependent.
C. The boost factor can range from -10 to +10, and the values -1, 0, and 1 have no boost effect.
D. You can define specific terms or multi-word terms that raise or lower the rank value of the document in which the term appears.

Question #5
The overall process through which LanguageWare segments and normalizes text is referred to as

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

Solutions: