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Microsoft Data Scientist Interview Questions

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Microsoft – Data Scientist Interview Questions

Here is the list Data Scientist Interview Questions which are recently asked in Microsoft company. These questions are included for both Freshers and Experienced professionals. Our Data Science Training has Answered all the below Questions.


Interview Questions for Soft skills


Most interviews start with questions about your profile, projects, and goals. You should have good explanations for:
  1. Tell me about yourself and your background (obviously)
  2. Talk about a time you worked in a team; conflicts if you had, how you managed a team
  3. Tell us about a time you faced a challenge and how did you overcome that?
  4. When have you multi-tasked? Can you tell us about key learning?
  5. How will you convince someone to do their work when running late on schedule?
  6. How would you explain Data Science to a layman?
  7. Where do you see yourself in the next 5 years?
  8. What are your expectations for the job?
  9. Can you tell me about a time you had a lot on the plate? How did you handle that?
  10. How do you work with someone you are not compatible with?
  11. Explain your largest failure at work. How did you learn from this experience?

Free PDF : Get our updated Data Science Course Content pdf

Interview Questions for SQL


Was given a data and scenario: what kind of join would you use?
  1. What are Entities and Relationships?
  2. Have you used normalization in your queries?
  3. How do you use the JOIN clauses?
  4. Given a scenario, would you use DELETE or DROP?
  5. Can you write a user-defined function in SQL?
  6. What do you know about NoSQL?
  7. What is the difference between SQL and NoSQL?
  8. Can you talk about a time when you used SQL?
  9. Do you have experience working with NoSQL?
  10. What are OLAP and OLTP? Can you explain with examples?
  11. Have you used stored procedures?
  12. How do you match patterns/characters in SQL?
  13. Do you know about hash tables? Where do you use it?
  14. How to measure query performance?

Interview Questions for Python


  1. On a scale of 1–10, how comfortable are you with Python?
  2. How do you write functions in Python?
  3. Give some use cases for Pandas, NumPy.
  4. What libraries do you frequently use?
  5. What are the local and global variables in Python?
  6. Mention five benefits of using Python?
  7. How do you create a dictionary in python?
  8. How will you convert a string to an int in python? (Data type conversion)
  9. Can you illustrate a few commands for data cleaning?
  10. How can you get information about the data frame?
  11. What will be the output of the following code snippet? [I was given sample code]
  12. Write a program to reverse a list (small code snip questions like this)

Interview Questions for Machine Learning


  1. How do you decide what data attributes to consider for EDA?
  2. Can you think of problem statements where you can use supervised and unsupervised ML algorithms?
  3. For data visualization, what would be the first step you would do?
  4. Given a scenario, what would you prioritize: bias or variance?
  5. How much data do you usually allocate for your training, validation, and test sets and why?
  6. Can you talk about a machine learning project you did recently?
  7. What’s your approach to preparing data for analysis?
  8. How do you gauge the effectiveness of a machine learning model?
  9. Do you have experience with Big Data tools for machine learning?
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TOP MNC's DATA SCIENCE INTERVIEW QUESTIONS & ANSWERS

Here we listed all Data Science Interview Questions and Answers which are asked in Top MNCs. Periodically we update this page with recently asked Questions, please do visit our page often and be updated in Data Science.

TCS
Walmart
IBM
Larsen & Toubro
Mindtree
Microsoft
Amazon
Cognizant
Wipro
Capgemini
HP
Uber
Google
Accenture
Cisco Systems
Black Board

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