Exam Outline

CompTIA DataAI

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Exam Subjects

Topics

151

Scoped Questions

3,630

Domain Weight Gap

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CompTIA DataAI 151 topics
- Mathematics and statistics 17% 4 subtopics
  - Statistical methods 11 subtopics
  - Probability and modeling 10 subtopics
  - Linear algebra and calculus 7 subtopics
  - Temporal models 3 subtopics
- Modeling, analysis, and outcomes 24% 5 subtopics
  - EDA methods 5 subtopics
  - Data issues 5 subtopics
  - Data enrichment 4 subtopics
  - Model iteration 4 subtopics
  - Results communication 4 subtopics
- Machine learning 24% 5 subtopics
  - Foundational concepts 7 subtopics
  - Supervised learning 5 subtopics
  - Tree-based learning 4 subtopics
  - Deep learning 5 subtopics
  - Unsupervised learning 3 subtopics
- Operations and processes 22% 7 subtopics
  - Business functions 3 subtopics
  - Data types 3 subtopics
  - Data ingestion 4 subtopics
  - Data wrangling 4 subtopics
  - Data science life cycle 4 subtopics
  - DevOps and MLOps 4 subtopics
  - Deployment environments 5 subtopics
- Specialized applications of data science 13% 4 subtopics
  - Optimization 2 subtopics
  - NLP concepts 5 subtopics
  - Computer vision 4 subtopics
  - Other applications 6 subtopics

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151 mapped topics in scope

3,630 questions in this outline

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Domain mix

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Mathematics and statistics 17%

Modeling, analysis, and outcomes 24%

Machine learning 24%

Operations and processes 22%

Specialized applications of data science 13%

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