DASCA SDS Exam Information and Actual Questions

  • Exam Code/Number: SDS
  • Exam Name/Title: Senior Data Scientist
  • Certification Provider: DASCA
  • Corresponding Certification: DASCA Data Scientist
  • Exam Questions: 87
  • Updated On: Jun 28, 2026

SDS
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DASCA
SDS Exam
Senior Data Scientist

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DASCA SDS Exam Overview:

Certification Vendor:DASCA (Data Science Council of America)
Exam Name:Senior Data Scientist Certification Exam
Exam Number:SDS
Exam Duration:100 minutes
Real Exam Qty:85
Related Certifications:Principal Data Scientist (PDS™)
Senior Big Data Engineer (SBDE™)
Senior Big Data Analyst (SBDA™)
Certificate Validity Period:5 years
Exam Price:USD 950
Available Languages:English
Exam Format:Multiple-choice single-answer, Multiple-choice multiple-answer
Passing Score:65%
Sample Questions:DASCA SDS Sample Questions
Exam Way:Online, remotely proctored via ExamStrong™ platform; available globally
Pre Condition:Bachelor's degree + 4–5 years relevant experience; or Master's degree + 3–4 years experience in data science, analytics, or related fields
Official Syllabus URL:https://www.dasca.org/data-science-certifications/senior-data-scientist

DASCA SDS Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Science Applications in Business20%- Measuring and demonstrating ROI of data science initiatives
- Data science strategy and enterprise alignment
- Translating business requirements into data science problems
Topic 2: Foundational Methods & Frameworks25%- Advanced statistics, probability, and experimental design
- Machine learning algorithms, selection, and evaluation
- Data preparation, feature engineering, and quality assurance
Topic 3: MLOps & Production Deployment15%- Model lifecycle management, monitoring, and maintenance
- Model governance, security, and reliability
- DevOps integration, automation, and CI/CD
Topic 4: Advanced AI & Generative AI20%- Responsible AI, ethics, fairness, transparency, and compliance
- Generative AI techniques, use cases, and limitations
- Deep learning, neural networks, and foundation models
Topic 5: Big Data Ecosystems & Scalable Systems20%- Data storage, processing pipelines, and governance
- Scalability, performance, and optimization
- Distributed computing frameworks and cloud platforms


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