EMC D-DS-FN-23 Exam Details & Actual Exam Questions

  • Exam Code/Number: D-DS-FN-23
  • Exam Name/Title: Dell Data Science Foundations
  • Certification Provider: EMC
  • Corresponding Certification: Dell Data Science
  • Exam Questions: 358
  • Updated On: Aug,27 2026
  • Certification Level: Foundation / Associate

EMC Dell Data Science Foundations Exam Questions

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EMC D-DS-FN-23 Exam Overview:

Certification Vendor:Dell Technologies
Exam Name:Dell Data Science Foundations 2023 Exam (D-DS-FN-23)
Exam Number:D-DS-FN-23
Exam Format:Multiple response, Multiple choice
Related Certifications:Dell Technologies Data Science Associate (if applicable)
Exam Duration:90 (approx.)
Certificate Validity Period:Typically 2 years (verify on official certification page)
Exam Price:Varies by region and testing provider
Real Exam Qty:Not publicly disclosed
Passing Score:Not publicly disclosed
Available Languages:English
Recommended Training:Dell Technologies Official Training
Exam Registration:Pearson VUE Dell Exams
Dell Technologies Certification Portal
Sample Questions:EMC D-DS-FN-23 Sample Questions
Exam Way:Online proctored or authorized testing center (via Pearson VUE)
Pre Condition:No formal prerequisites required, basic IT and analytics knowledge recommended
Official Syllabus URL:https://education.dell.com

EMC D-DS-FN-23 Exam Syllabus Topics:

SectionObjectives
Data Management and Ethics- Data Governance
  • 1. Data lifecycle management
    • 2. Data quality and integrity
      - Ethical Considerations
      • 1. Bias in data and models
        • 2. Privacy and compliance basics
          Machine Learning Basics- Supervised Learning
          • 1. Classification concepts
            • 2. Regression concepts
              - Unsupervised Learning
              • 1. Dimensionality reduction overview
                • 2. Clustering basics
                  Data Analysis and Statistics- Descriptive Statistics
                  • 1. Mean, median, mode
                    • 2. Variance and standard deviation
                      - Data Exploration
                      • 1. Exploratory data analysis techniques
                        • 2. Data visualization basics
                          Data Science Fundamentals- Data Types and Sources
                          • 1. Structured vs unstructured data
                            • 2. Data collection methods
                              - Introduction to Data Science
                              • 1. Data science lifecycle overview
                                • 2. Core concepts and definitions


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