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
View Answer
Ans : B
Explanation: Agile data science is an approach of using data science with agile methodology for web application development.
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
View Answer
Ans : D
Explanation: Continuous Iteration : This process involves continuous iteration with creation tables, charts, reports and predictions. Building predictive models will require many iterations of feature engineering with extraction and production of insight.
3. How many principles that describe the Agile methodology?
A. 2
B. 6
C. 12
D. 20
View Answer
Ans : C
Explanation: There are 12 principles that describe the Agile methodology
4. _______ refers to the daily status meeting among the team members.
A. User story
B. Daily stand-up
C. Scrum
D. Roles
View Answer
Ans : B
Explanation: Daily stand-up refers to the daily status meeting among the team members. It provides updates related to the software development. It also refers to addressing obstacles of project development.
5. A story is usually a requirement, which is formulated in few sentences in simple language and it should be completed within an iteration.
A. TRUE
B. FALSE
C. Can be true or false
D. Can not say
View Answer
Ans : A
Explanation: True, A story is usually a requirement, which is formulated in few sentences in simple language and it should be completed within an iteration.
6. _________ are the people who use the product
A. Managers
B. Designers
C. Customers
D. Client
View Answer
Ans : C
Explanation: Customers are the people who use the product. Their interest determines the success of project and their feedback is very valuable in data science.
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
View Answer
Ans : D
Explanation: Structured data represents only 5 to 10 percent of all informatics data
8. The examples of semi-structured database are?
A. CSV files
B. XML
C. JSON documents
D. All of the above
View Answer
Ans : D
Explanation: The examples of semi-structured database are CSV files, XML and JSON documents. NoSQL databases are considered semistructured.
9. Unstructured data represents ________ percent of data.
A. 0.6
B. 0.75
C. 0.8
D. 0.9
View Answer
Ans : C
Explanation: Unstructured data represents 80 percent of data. It often includes text and multimedia content.
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
View Answer
Ans : A
Explanation: Yes, Scrum can be considered as a subset of agile methodology
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