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

1. What is the simple mechanical process of breaking up white space delimited text into words called?

A) Shallow parsing.
B) Regular expressions.
C) Segmentation.
D) Tokenization.

2. There are several ways to add a document to a collection. Which of the following CANNOT be used?

A) CSV file import.
B) Real-time NLP API.
C) Crawler.
D) REST API.

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

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

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

5. Flexible node assignment allows you to create an additional server that will perform which two functions?

A) Crawler and document processing.
B) Document processing and search.
C) Crawler and search.
D) Crawler and parser/indexer.

Solutions: