Practice Working with MongoDB for Data Science - 19.4 | 19. Advanced SQL and NoSQL for Data Science | Data Science Advance
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Working with MongoDB for Data Science

19.4 - Working with MongoDB for Data Science

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does CRUD stand for?

💡 Hint: Think about the basic operations in database management.

Question 2 Easy

Write a command to find all users over the age of 25.

💡 Hint: Think about how to filter data in MongoDB.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does CRUD stand for?

Create
Retrieve
Update
Delete
Create
Read
Update
Delete
Create
Read
Utilize
Delete

💡 Hint: Consider which operations are fundamental for data handling.

Question 2

True or False: Aggregation pipelines can only sum values.

True
False

💡 Hint: Think about the flexibility in aggregation capabilities.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a collection named 'products', construct a MongoDB command to find the top 5 best-selling products based on total sales.

💡 Hint: Use `$unwind` to deconstruct arrays before grouping.

Challenge 2 Hard

Given a collection of 'locations', write a MongoDB query to return all points of interest within a certain radius of a given coordinate.

💡 Hint: Utilize geospatial queries with coordinates and max distance.

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