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DASCA SDS Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| MLOps & Production Deployment | 15% | - DevOps integration, automation, and CI/CD - Model governance, security, and reliability - Model lifecycle management, monitoring, and maintenance |
| Big Data Ecosystems & Scalable Systems | 20% | - Data storage, processing pipelines, and governance - Scalability, performance, and optimization - Distributed computing frameworks and cloud platforms |
| Data Science Applications in Business | 20% | - Measuring and demonstrating ROI of data science initiatives - Data science strategy and enterprise alignment - Translating business requirements into data science problems |
| Foundational Methods & Frameworks | 25% | - Machine learning algorithms, selection, and evaluation - Advanced statistics, probability, and experimental design - Data preparation, feature engineering, and quality assurance |
| 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 |
DASCA Senior Data Scientist Sample Questions:
1. Which of the following is an SLAs specification in case of Internet Service Provider (ISP)?
A) Mean Time To Recovery (MTTR)
B) Mean Time Between Failures (MTBF)
C) Turnaround Time (TAT)
D) All of the above
2. Which of the following is NOT a process of Use Case?
A) Capture the decisions that the key business stakeholders need to make in order to support the organization's key business initiatives
B) Brainstorm the outcomes that the key stakeholders need to answer to facilitate making the decisions
C) Brainstorm the questions that the key stakeholders need to answer to facilitate making the decisions
D) Identify your key business stakeholders
E) Understand your organization's key business initiatives or business challenge
3. Which of the following is FALSE for Social Network Analysis (SNA)?
A) Social Network Analysis (SNA) is an example of trend analysis
B) SNA is used to investigate social structures and relationships across social networks
C) None of the above
D) Social Network Analysis (SNA) is an example of graph analysis
E) SNA characterizes networked structures in terms of nodes and the ties or edges that connect them
4. Which of the following is a "thinking like a data scientist" decomposition process?
A) Business Initiative
B) Both B and C
C) All of the above
D) Strategic Nouns
E) Business Stakeholder
5. Which of the following can visualize variations in the base data, which can be used to identify outliers in the data for further investigation?
A) Trend Analysis
B) Box Plots
C) Histogram
D) Scatter Plot
E) None of the above
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: B |
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