000-M91 exam dumps

IBM 000-M91 Value Package

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  • Exam Code: 000-M91
  • Exam Name: IBM Content Analytics Product Fundamentals Tech Sales Master
  • No. of Questions: 41 Questions and Answers
  • Updated: Oct 21, 2026

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IBM 000-M91 Exam Syllabus Topics:

SectionWeightObjectives
Search, Indexing and Export12%- Search features
- Indexing and facets
- Export plug-ins
LanguageWare and Text Analysis34%- Custom dictionaries and rules
- Annotators and processing
- Linguistic analysis
Integration and Capacity Planning11%- Sizing and capacity
- Integration APIs
Architecture and Components25%- System architecture
- Processing pipeline
- Modules and components
Data Ingestion and Crawling18%- Crawler plug-ins
- Supported data sources
- Import methods

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The IBM Content Analytics Product Fundamentals Tech Sales Master syllabus spans 5 domains, headlined by Search, Indexing and Export (12%), Data Ingestion and Crawling (18%), and LanguageWare and Text Analysis (34%). The full weighted outline is in the syllabus section above — our materials strictly follow it, and so should your study plan.

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The 000-M91 exam — formally the IBM Content Analytics Product Fundamentals Tech Sales Master — is IBM's certification exam for validating professional skills with its technologies; passing it earns the IBM Specialist certification, a Specialist-level credential. It is popular among job seekers for a simple reason: employers trust vendor-issued proof of skill. It also opens the path toward IBM Content Analytics Product Fundamentals Technical Mastery Test v1 (P2070-091).

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IBM Content Analytics Product Fundamentals Tech Sales Master Sample Questions:

Misspelled words can cause problems when performing text analysis. Which of the following possible solutions is recommended?

  • A. Create an export plug-in to perform spell checking.
  • B. Modify the system dictionary or create a custom user dictionary (i.e., treat misspelled words as synonyms.)
  • C. Create a crawler plug-in to perform spell checking.
  • D. Enable spelling Correction in the Text Miner application.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Custom rule files are implemented by the ______________ annotator in the document processing pipeline.

  • A. Linguistic analysis.
  • B. Named entity recognition.
  • C. Dictionary lookup.
  • D. Pattern matcher.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Comma separated value (csv) files are supported in several different capacities. Which of the following is NOT correct?

  • A. You can export query statistics to a csv file.
  • B. You can export documents as csv files.
  • C. You can import a csv file to create or add words to a custom user dictionary.
  • D. You can import csv files and add them to a search collection.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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

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

Correct Answer: C  🗳️

Categories enable you to group documents that share common characteristics, Which of the following terms is NOT connected with category configuration?

  • A. Terms of interest.
  • B. Rule-based categories.
  • C. All of the above.
  • D. Cluster analysis.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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