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Welcome to the Developing Data Products MCQs Page

Dive deep into the fascinating world of Developing Data Products with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Developing Data Products, a crucial aspect of Data Science. In this section, you will encounter a diverse range of MCQs that cover various aspects of Developing Data Products, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Data Science.

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Check out the MCQs below to embark on an enriching journey through Developing Data Products. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Science.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Developing Data Products. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Developing Data Products MCQs | Page 2 of 5

Q11.
Which of the following framework is compatible with slidify?
Discuss
Answer: (b).io2012
Discuss
Answer: (b).Slidify is non customizable
Q13.
Which of the following statement will load slidify?
Discuss
Answer: (a).library(slidify)
Q14.
Which of the following will be used to compose the content of the presentation?
Discuss
Answer: (b).index.RMD
Discuss
Answer: (a).Slidify allows embedded code chunks
Q16.
Which of the following statement generates a html slide deck from index.Rmd?
Discuss
Answer: (a).slidify(“index.Rmd”)
Q17.
The first part of index.Rmd is XML code.
Discuss
Answer: (b).False
Discuss
Answer: (a).install_github(‘slidify’, ‘ramnathv’)
Q19.
Which of the following element can be added to slidify?
Discuss
Answer: (d).All of the mentioned
Q20.
MathJax is a cross-browser JavaScript library that displays mathematical notation in web browsers.
Discuss
Answer: (a).True
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