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DASCA SDS Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Foundational Methods & Frameworks | 25% | - Data preparation, feature engineering, and quality assurance - Advanced statistics, probability, and experimental design - Machine learning algorithms, selection, and evaluation |
| Topic 2: Advanced AI & Generative AI | 20% | - Deep learning, neural networks, and foundation models - Responsible AI, ethics, fairness, transparency, and compliance - Generative AI techniques, use cases, and limitations |
| Topic 3: MLOps & Production Deployment | 15% | - Model lifecycle management, monitoring, and maintenance - DevOps integration, automation, and CI/CD - Model governance, security, and reliability |
| Topic 4: Big Data Ecosystems & Scalable Systems | 20% | - Distributed computing frameworks and cloud platforms - Scalability, performance, and optimization - Data storage, processing pipelines, and governance |
| 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 Sample Questions:
1. Which of the following is FALSE for Social Network Analysis (SNA)?
A) SNA characterizes networked structures in terms of nodes and the ties or edges that connect them
B) Social Network Analysis (SNA) is an example of trend analysis
C) Social Network Analysis (SNA) is an example of graph analysis
D) SNA is used to investigate social structures and relationships across social networks
E) None of the above
2. Which of the following is TRUE about Avro?
A) Both A and B
B) Avro is based on Remote Procedure Call (RPC)
C) Avro is a data serialization framework
D) None of the above
3. Which of the following is NOT a correct situation to use Agile?
A) When the final product isn't clearly defined
B) When clients/stakeholders need to be able to change the scope
C) None of the above
D) When changes need to be implemented during the entire process
4. What is Scrumban?
A) It is Scrum
B) It combines the principles of Scrum and Kanban into a push-based system
C) It combines the principles of Scrum and Kanban into a pull-based system
D) It is Kanban
5. Which of the following is used to summarize a dataset by showing the median, quantiles, and min/max values for each of the variables?
A) Bar Charts
B) Histogram
C) Scatter Chart
D) Pie Charts
E) Box Plots
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: E |
