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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 |
| Related Certifications: | Senior Big Data Engineer (SBDE™) Senior Big Data Analyst (SBDA™) Principal Data Scientist (PDS™) |
| Passing Score: | 65% |
| Available Languages: | English |
| Exam Format: | Multiple-choice single-answer, Multiple-choice multiple-answer |
| Certificate Validity Period: | 5 years |
| Real Exam Qty: | 85 |
| Exam Price: | USD 950 |
| Exam Duration: | 100 minutes |
| 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 |
|---|---|---|
| MLOps & Production Deployment | 15% | - Model lifecycle management, monitoring, and maintenance - Model governance, security, and reliability - DevOps integration, automation, and CI/CD |
| Foundational Methods & Frameworks | 25% | - Advanced statistics, probability, and experimental design - Machine learning algorithms, selection, and evaluation - Data preparation, feature engineering, and quality assurance |
| 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 |
| Big Data Ecosystems & Scalable Systems | 20% | - Distributed computing frameworks and cloud platforms - Scalability, performance, and optimization - Data storage, processing pipelines, and governance |
| Data Science Applications in Business | 20% | - Measuring and demonstrating ROI of data science initiatives - Translating business requirements into data science problems - Data science strategy and enterprise alignment |
DASCA Senior Data Scientist Sample Questions:
What is DevOps?
- A. All
- B. Quality Assurance
- C. Software Development
- D. Software Operations
Correct Answer: A 🗳️
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Which of the following is NOT an example of the applications of neural networks?
- A. None of the above
- B. Image compression
- C. Traveling salesman's problem
- D. Stock market prediction
- E. Character recognition
Correct Answer: C 🗳️
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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
Correct Answer: D 🗳️
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Which of the following is main Machine Learning Library in Python?
- A. NumPy
- B. SciPy
- C. Scikit-learn
- D. None of the above
- E. Matplotlib
Correct Answer: C 🗳️
Explanation: Only visible for BraindumpQuiz members. You can sign-up / login (it's free).
What is TRUE for "rehashing"?
- A. Allocate a new, larger hash table in memory
- B. Key/value pairs from the original table can be inserted into the new, larger one
- C. All of the above
- D. It requires a new hash function, which maps values into a larger range of integers
- E. Both A and B
Correct Answer: C 🗳️
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By Lou
