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DASCA SDS Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Advanced Statistical Modeling | 20-25% | - Statistical Inference
|
| Topic 2: Data Visualization and Communication | 10-15% | - Tools and Technologies
|
| Topic 3: Big Data Engineering | 15-20% | - Cloud Computing for Data Science
|
| Topic 4: Machine Learning at Scale | 25-30% | - Unsupervised Learning
|
| Topic 5: Foundations of Data Science | 15-20% | - Data Science Ethics
|
DASCA Senior Data Scientist Sample Questions:
1. Which of these statements reflects a null hypothesis?
A) There will be no relationship between caffeine consumption and performance
B) Women will score higher than men on empathy
C) As temperature increases, so too will the level of aggression
D) There will be a significant difference between group 1 and group 2
E) Men will score higher than women on spatial awareness
2. Machine learning can be categorized as:
A) Reinforcement learning
B) All of the above
C) Supervised learning
D) Unsupervised learning
3. Which of the following is correct?
i. LaTeX is used to publish work in a scientific journal
ii. LaTeX is a markup language that can be compiled into formatted documents iii. LaTeX is for publishing scientific papers
A) ii, iii
B) i, ii
C) i, iii
D) i, ii, iii
4. SpamAssassin has been developed to detect:
A) Spam emails
B) None of the above
C) Email with big attachments
D) Email with virus
5. The spokes of the "Hub and Spoke" analytics architecture are the analytic use cases or applications that help the organization to optimize:
A) Uncover new monetization opportunities
B) All of the above
C) Key business processes
D) Deliver a more compelling customer experience
E) Both A and B
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: B |
