Agile Data Science MCQ Questions & Answers

Agile Data Science MCQs : This section focuses on "Basics" of Agile Data Science. These Multiple Choice Questions (MCQ) should be practiced to improve the Agile Data Science skills required for various interviews (campus interview, walk-in interview, company interview), placements, entrance exams and other competitive examinations.

1. __________ is an approach of using data science with agile methodology for web application development.

A. Agile methodology
B. Agile data science
C. Adaptive software development
D. Agile programming

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2. Which process involves continuous iteration with creation tables, charts, reports and predictions?

A. Intermediate Output
B. Predictive Model
C. Prototype Model
D. Continuous Iteration

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3. How many principles that describe the Agile methodology?

A. 2
B. 6
C. 12
D. 20

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4. _______ refers to the daily status meeting among the team members.

A. User story
B. Daily stand-up
C. Scrum
D. Roles

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5. A story is usually a requirement, which is formulated in few sentences in simple language and it should be completed within an iteration.

C. Can be true or false
D. Can not say

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6. _________ are the people who use the product

A. Managers
B. Designers
C. Customers
D. Client

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7. Structured data represents only _______ percent of all informatics data

A. 0 to 4
B. 2 to 7
C. 10 to 20
D. 5 to 10

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8. The examples of semi-structured database are?

A. CSV files
C. JSON documents
D. All of the above

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9. Unstructured data represents ________ percent of data.

A. 0.6
B. 0.75
C. 0.8
D. 0.9

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10. Scrum can be considered as a subset of agile methodology.

A. Yes
B. No
C. Can be yes or no
D. Can not say

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