Throughout 2026, the SDS certification keeps its reputation as a demanding but respected credential, and LatestCram keeps preparation honest with daily-checked DASCA Senior Data Scientist content, verified answers, and no inflated question counts.
DASCA SDS Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: MLOps & Production Deployment | 15% | - Model governance, security, and reliability - DevOps integration, automation, and CI/CD - Model lifecycle management, monitoring, and maintenance |
| Topic 2: Big Data Ecosystems & Scalable Systems | 20% | - Data storage, processing pipelines, and governance - Distributed computing frameworks and cloud platforms - Scalability, performance, and optimization |
| Topic 3: Foundational Methods & Frameworks | 25% | - Machine learning algorithms, selection, and evaluation - Data preparation, feature engineering, and quality assurance - Advanced statistics, probability, and experimental design |
| Topic 4: Advanced AI & Generative AI | 20% | - Responsible AI, ethics, fairness, transparency, and compliance - Generative AI techniques, use cases, and limitations - Deep learning, neural networks, and foundation models |
| Topic 5: 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 |
DASCA Senior Data Scientist Essentials: Try, Buy, Study
- MLOps & Production Deployment (15%)
- Foundational Methods & Frameworks (25%)
- Data Science Applications in Business (20%)
DASCA Senior Data Scientist Sample Questions:
A burn down chart shows:
- A. The number of hours worked after dark
- B. The volume of work and features completed
- C. The rate of reduction of budget for a project
- D. The declining energy of the team
Correct Answer: B 🗳️
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Which of these are open-source column-oriented databases?
- A. Accumulo
- B. Both A and B
- C. Cassandra
- D. HBase
- E. All of the above
Correct Answer: E 🗳️
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Which of the following is NOT used to implement Agile?
- A. Kanban
- B. Scrum
- C. Extreme Programming (XP)
- D. Six Sigma
Correct Answer: D 🗳️
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Which of the following is TRUE about monetization exercise?
- A. The monetization exercise provides an opportunity to uncover new product and/or service opportunities
- B. The monetization exercise process then seeks to identify complementary or secondary recommendations that can be packaged and delivered along with that product or service
- C. The monetization exercise works by first understanding the product usage patterns and customer usage behaviors associated with a particular product and service
- D. Both B and C
- E. All of the above
Correct Answer: E 🗳️
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Which of the following is a useful feature of functional programming?
- A. Immutable Data
- B. Lazy Evaluation
- C. Higher-Order Functions (HOFs)
- D. All of the above
Correct Answer: D 🗳️
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