Updated: Aug 18, 2026
No. of Questions: 87 Questions & Answers with Testing Engine
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| Certification Vendor: | DASCA (Data Science Council of America) |
| Exam Name: | Senior Data Scientist Certification Exam |
| Exam Number: | SDS |
| Related Certifications: | Principal Data Scientist (PDS™) Senior Big Data Engineer (SBDE™) Senior Big Data Analyst (SBDA™) |
| Certificate Validity Period: | 5 years |
| Passing Score: | 65% |
| Exam Duration: | 100 minutes |
| Real Exam Qty: | 85 |
| Exam Price: | USD 950 |
| Available Languages: | English |
| Exam Format: | Multiple-choice single-answer, Multiple-choice multiple-answer |
| 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 |
| Section | Weight | Objectives |
|---|---|---|
| Foundational Methods & Frameworks | 25% | - Data preparation, feature engineering, and quality assurance - Machine learning algorithms, selection, and evaluation - Advanced statistics, probability, and experimental design |
| Advanced AI & Generative AI | 20% | - Deep learning, neural networks, and foundation models - Generative AI techniques, use cases, and limitations - Responsible AI, ethics, fairness, transparency, and compliance |
| MLOps & Production Deployment | 15% | - DevOps integration, automation, and CI/CD - Model lifecycle management, monitoring, and maintenance - Model governance, security, and reliability |
| Big Data Ecosystems & Scalable Systems | 20% | - Distributed computing frameworks and cloud platforms - Data storage, processing pipelines, and governance - Scalability, performance, and optimization |
| Data Science Applications in Business | 20% | - Translating business requirements into data science problems - Data science strategy and enterprise alignment - Measuring and demonstrating ROI of data science initiatives |
1. What is TRUE for "rehashing"?
A) Key/value pairs from the original table can be inserted into the new, larger one
B) Allocate a new, larger hash table in memory
C) It requires a new hash function, which maps values into a larger range of integers
D) All of the above
E) Both A and B
2. The main purpose of a Statement Of Work (SOW) is to get:
A) All of the above
B) What the priorities are
C) Everybody on the same page about what work should be done
D) None of the above
E) What expectations are realistic
3. The grid computing environment uses a middleware to:
A) Divide computing resources
B) Combine computing resources
C) Both A and B
D) None of the above
4. Which of the following is a useful feature of functional programming?
A) Lazy Evaluation
B) Higher-Order Functions (HOFs)
C) Immutable Data
D) All of the above
5. Which of the following is correct?
A) DataFrame is similar to SQL tables or R data frames
B) The central object in Pandas is called a DataFrame
C) A data frame is a table with rows and columns
D) All of the above
E) Both A and B
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: D |
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