- Exam Code: P2070-091
- Exam Name: IBM Content Analytics Product Fundamentals Technical Mastery Test v1
- Updated: Aug 19, 2026
- Q & A: 41 Questions and Answers
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| Section | Objectives |
|---|---|
| Topic 1: Sales Positioning and Competitive Differentiation | - Value proposition articulation - Competitive advantages - Target industries and customer scenarios |
| Topic 2: IBM Content Analytics Overview | - Business value and use cases - Key product capabilities - Core concepts of content analytics |
| Topic 3: Solution Architecture and Components | - Content ingestion and indexing - Analytics and reporting features - Search and discovery mechanisms |
| Topic 4: Deployment and Integration | - System architecture options - Integration with enterprise systems |
1. Comma separated value (csv) files are supported in several different capacities. Which of the following is NOT correct?
A) You can import csv files and add them to a search collection.
B) You can export query statistics to a csv file.
C) You can import a csv file to create or add words to a custom user dictionary.
D) You can export documents as csv files.
2. Misspelled words can cause problems when performing text analysis. Which of the following possible solutions is recommended?
A) Modify the system dictionary or create a custom user dictionary (i.e., treat misspelled words as synonyms.)
B) Create a crawler plug-in to perform spell checking.
C) Create an export plug-in to perform spell checking.
D) Enable spelling Correction in the Text Miner application.
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 collection can either be a search collection or a text analytics collection.
D) The NLP REST API accepts both text and binary content.
4. What is a means of identifying strings of characters using a formal syntax?
A) Normalization.
B) Shallow parsing.
C) Segmentation.
D) Regular expressions.
5. A Search collection may optionally use the following annotators, except for:
A) Custom Annotator.
B) All of the above annotators may be used.
C) Named Entity Recognition Annotator.
D) Classification Module Annotator.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: C |
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