DASCA SDS Questions & Answers - in .pdf
- Total Q&A: 87
- Update: Aug 15, 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 15, 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 |
| Exam Price: | USD 950 |
| Available Languages: | English |
| Real Exam Qty: | 85 |
| Certificate Validity Period: | 5 years |
| Exam Format: | Multiple-choice single-answer, Multiple-choice multiple-answer |
| Passing Score: | 65% |
| 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 |
|---|---|---|
| Foundational Methods & Frameworks | 25% | - Machine learning algorithms, selection, and evaluation - Advanced statistics, probability, and experimental design - Data preparation, feature engineering, and quality assurance |
| Data Science Applications in Business | 20% | - Translating business requirements into data science problems - Measuring and demonstrating ROI of data science initiatives - Data science strategy and enterprise alignment |
| Advanced AI & Generative AI | 20% | - Responsible AI, ethics, fairness, transparency, and compliance - Deep learning, neural networks, and foundation models - Generative AI techniques, use cases, and limitations |
| MLOps & Production Deployment | 15% | - Model lifecycle management, monitoring, and maintenance - DevOps integration, automation, and CI/CD - Model governance, security, and reliability |
| Big Data Ecosystems & Scalable Systems | 20% | - Data storage, processing pipelines, and governance - Scalability, performance, and optimization - Distributed computing frameworks and cloud platforms |
DASCA Senior Data Scientist Sample Questions:
1. Which of the following is TRUE about Avro?
A) None of the above
B) Both A and B
C) Avro is based on Remote Procedure Call (RPC)
D) Avro is a data serialization framework
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. Data wrangling is the process of getting the data from:
A) None of the above
B) Both A and B
C) Its modified meaning format into something suitable for more conventional analytics
D) Its raw format into something suitable for more conventional analytics
4. Which of the following is NOT an example of the applications of neural networks?
A) None of the above
B) Stock market prediction
C) Traveling salesman's problem
D) Image compression
E) Character recognition
5. Which of the following architectural techniques is used for parallel processing?
A) Both B and C
B) The Superscalar Technique
C) Both A and B
D) The SuperVector Technique
E) Very Long Instruction Words (VLIW) Technique
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: E | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: C |
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