DASCA SDS Questions & Answers - in .pdf
- Total Q&A: 87
- Update: Aug 04, 2026
- Price: $59.99
- Vendor: DASCA
- Exam Code: SDS
- Exam Name: Senior Data Scientist
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DASCA SDS Q&A - Testing Engine
- Total Q&A: 87
- Update: Aug 04, 2026
- Price: $59.99
- Vendor: DASCA
- Exam Code: SDS
- Exam Name: 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 |
| Passing Score: | 65% |
| Certificate Validity Period: | 5 years |
| Real Exam Qty: | 85 |
| Exam Price: | USD 950 |
| Available Languages: | English |
| Exam Format: | Multiple-choice single-answer, Multiple-choice multiple-answer |
| Exam Duration: | 100 minutes |
| Related Certifications: | Principal Data Scientist (PDS™) Senior Big Data Engineer (SBDE™) Senior Big Data Analyst (SBDA™) |
| Recommended Training: | DataScienceSkool™ Official Learning Resources |
| Exam Registration: | Official Registration Portal |
| 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:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Advanced AI & Generative AI | 20% | - Generative AI techniques, use cases, and limitations - Deep learning, neural networks, and foundation models - Responsible AI, ethics, fairness, transparency, and compliance |
| Topic 2: Data Science Applications in Business | 20% | - Data science strategy and enterprise alignment - Measuring and demonstrating ROI of data science initiatives - Translating business requirements into data science problems |
| Topic 3: Foundational Methods & Frameworks | 25% | - Advanced statistics, probability, and experimental design - Machine learning algorithms, selection, and evaluation - Data preparation, feature engineering, and quality assurance |
| Topic 4: MLOps & Production Deployment | 15% | - Model lifecycle management, monitoring, and maintenance - DevOps integration, automation, and CI/CD - Model governance, security, and reliability |
| Topic 5: Big Data Ecosystems & Scalable Systems | 20% | - Data storage, processing pipelines, and governance - Distributed computing frameworks and cloud platforms - Scalability, performance, and optimization |
DASCA Senior Data Scientist Sample Questions:
1. What is DevOps?
A) Quality Assurance
B) All
C) Software Operations
D) Software Development
2. Which of the following is TRUE for Business Metamorphosis?
A) Both A and C
B) The Business Metamorphosis phase helps drive an organization's core business model through the analytic insights gathered as the organization traverses the Big Data Business Model Maturity Index
C) Business Metamorphosis exercise can uncover Big Data requirements around decisions, analytics and data sources that can be leveraged to transform or metamorphose your organization's business model
D) The Business Metamorphosis phase is where organizations integrate the insights that they captured about their customers' usage patterns, product performance behaviors, and overall market trends to transform their business models
E) All of the above
3. Which of the following is NOT used to implement Agile?
A) Six Sigma
B) Extreme Programming (XP)
C) Scrum
D) Kanban
4. The spokes of the "Hub and Spoke" analytics architecture are the analytic use cases or applications that help the organization to optimize:
A) Uncover new monetization opportunities
B) Deliver a more compelling customer experience
C) Both A and B
D) Key business processes
E) All of the above
5. Which of the following is an SLAs specification in case of Internet Service Provider (ISP)?
A) Mean Time To Recovery (MTTR)
B) Turnaround Time (TAT)
C) Mean Time Between Failures (MTBF)
D) All of the above
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: E | Question # 3 Answer: A | Question # 4 Answer: E | Question # 5 Answer: D |
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