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DASCA SDS Exam Syllabus Topics:

DASCA Senior Data Scientist Sample Questions:

1. Designing an algorithm to play chess is usually an example of which type of machine learning?

A) Supervised learning
B) Reinforcement learning
C) Pattern density
D) Clustering

2. What is the agenda of discussion at a "stand up" meeting of an Agile team?

A) What they are planning to do today
B) Both A and B
C) What they accomplished the previous day
D) All of the above
E) Any roadblocks they are running into

3. 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) Both A and B
C) All of the above
D) Key business processes
E) Deliver a more compelling customer experience

4. Self-driving car is an example of:

A) Supervised learning
B) Reinforcement learning
C) All of the above
D) Unsupervised learning

5. Semi-structured data does NOT include:

A) Scientific data
B) Schema-full data
C) File systems
D) Database system

Solutions: