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DASCA SDS Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Big Data Engineering | 15-20% | - Cloud Computing for Data Science
|
| Data Visualization and Communication | 10-15% | - Tools and Technologies
|
| Foundations of Data Science | 15-20% | - Data Science Ethics
|
| Machine Learning at Scale | 25-30% | - Unsupervised Learning
|
| Advanced Statistical Modeling | 20-25% | - Statistical Inference
|
DASCA Senior Data Scientist Sample Questions:
Question 1
Which of the following is a "thinking like a data scientist" decomposition process?
A. Business Stakeholder
B. All of the above
C. Both B and C
D. Business Initiative
E. Strategic Nouns
Question 2
Which of the following is NOT a process of Use Case?
A. Understand your organization's key business initiatives or business challenge
B. Identify your key business stakeholders
C. Brainstorm the questions that the key stakeholders need to answer to facilitate making the decisions
D. Capture the decisions that the key business stakeholders need to make in order to support the organization's key business initiatives
E. Brainstorm the outcomes that the key stakeholders need to answer to facilitate making the decisions
Question 3
The grid computing environment uses a middleware to:
A. Combine computing resources
B. Divide computing resources
C. None of the above
D. Both A and B
Question 4
Semi-structured data does NOT include:
A. Database system
B. Schema-full data
C. File systems
D. Scientific data
Question 5
Which of the following can be classified as factor analysis in machine learning?
A. Exploratory factor analysis
B. None of the above
C. Confirmatory factor analysis
D. Both A and B
Solutions:
| Question 1 Answer: B | Question 2 Answer: E | Question 3 Answer: D | Question 4 Answer: B | Question 5 Answer: D |





