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DASCA SDS Exam Syllabus Topics:
| Section | Weight | Objectives |
| 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
|
| Big Data Ecosystems & Scalable Systems | 20% | - Scalability, performance, and optimization
- Data storage, processing pipelines, and governance
- Distributed computing frameworks and cloud platforms
|
| Foundational Methods & Frameworks | 25% | - Advanced statistics, probability, and experimental design
- Machine learning algorithms, selection, and evaluation
- Data preparation, feature engineering, and quality assurance
|
| 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
|
| MLOps & Production Deployment | 15% | - Model lifecycle management, monitoring, and maintenance
- Model governance, security, and reliability
- DevOps integration, automation, and CI/CD
|
DASCA Senior Data Scientist Sample Questions:
1. Which of these statements reflects a null hypothesis?
A) Men will score higher than women on spatial awareness
B) There will be a significant difference between group 1 and group 2
C) As temperature increases, so too will the level of aggression
D) Women will score higher than men on empathy
E) There will be no relationship between caffeine consumption and performance
2. The Big Data Vision Workshop process is ideal for organizations who:
A) All of the above
B) Have a desire to leverage Big Data to transform their business but do not know where and how to start
C) 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
D) Both A and B
E) Have a wealth of data that they do not know how to monetize
3. The Big Data Vision Workshop process is ideal for organizations who:
A) All of the above
B) Have a desire to leverage Big Data to transform their business but do not know where and how to start
C) 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
D) Both A and B
E) Have a wealth of data that they do not know how to monetize
4. Which of the following is NOT a part of Internal Process Optimization?
A) Business Monitoring
B) Business Metamorphosis
C) Business Optimization
D) None of the above
E) Business Insights
5. Which of the following is correct about customer lifetime value (CLTV)?
i. Most organizations determine the current customer lifetime value (CLTV) based on historic sales over past
12 to 18 months
ii. The goal of the CLTV score is to help marketing and store personnel to determine the "value" of a customer
A) Only i
B) Only ii
C) Both i and ii
Solutions:
Question # 1 Answer: E | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: C |