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DASCA SDS Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Ecosystems & Scalable Systems | 20% | - Distributed computing frameworks and cloud platforms - Data storage, processing pipelines, and governance - Scalability, performance, and optimization |
| Topic 2: Foundational Methods & Frameworks | 25% | - Advanced statistics, probability, and experimental design - Data preparation, feature engineering, and quality assurance - Machine learning algorithms, selection, and evaluation |
| Topic 3: 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 4: 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 5: MLOps & Production Deployment | 15% | - Model lifecycle management, monitoring, and maintenance - DevOps integration, automation, and CI/CD - Model governance, security, and reliability |
DASCA Senior Data Scientist Sample Questions:
1. Which of the following is TRUE for Chief Data Monetization Officer (CDMO)?
i. CDMO should focus on driving and deriving value from the organization's data and analytic assets.
ii. The CDMO should own the organization's investment decisions with respect to data and analytics.
iii. CDMO should have revenue and margin responsibilities.
A) All of the above
B) i, ii
C) ii, iii
2. The Big Data Vision Workshop process is ideal for organizations who:
A) Have a wealth of data that they do not know how to monetize
B) Have a desire to leverage the Big Data Vision Workshop to identify where and how to leverage data and analytics to power their business models
C) Both A and B
D) All of the above
E) Have a desire to leverage Big Data to transform their business but do not know where and how to start
3. Which of the following is CORRECT?
i. CDMO should NOT own the data lake, the data warehouse, or any of the underlying data architecture or technologies.
ii. CDMO should own the data lake, the data warehouse, or any of the underlying data architecture or technologies.
iii. CIO should NOT own the data lake, the data warehouse, or any of the underlying data architecture or technologies.
iv. CIO should own the data lake, the data warehouse, or any of the underlying data architecture or technologies.
A) i, iv
B) ii, iii
C) ii, iv
D) i, iii
4. In unsupervised learning, learning takes place by based on these deductions in input data and developing patterns:
A) Detecting irregularities
B) Both A and B
C) None of the above
D) Detecting regularities
5. Which of the following is a "thinking like a data scientist" decomposition process?
A) Both B and C
B) All of the above
C) Business Stakeholder
D) Business Initiative
E) Strategic Nouns
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: B |
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