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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a data lake?
💡 Hint: Focus on what types of data are typically stored.
Question 2
Easy
Name one example of a data warehouse.
💡 Hint: Think about popular services used in data analytics.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is stored in data lakes?
- Structured data
- Unstructured data
- Both
💡 Hint: Think about the types of data you might find in a lake vs. a warehouse.
Question 2
True or False: Feature stores are essential for managing structured data.
- True
- False
💡 Hint: Consider what features represent in the context of machine learning.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
How would you recommend a strategy for a company wanting to implement both a data lake and a data warehouse? Describe the benefits and considerations they should keep in mind.
💡 Hint: Think about the natural workflow of data from collection to analysis.
Question 2
Imagine you are designing a machine learning system for a retail company. How would a feature store improve the effectiveness of your model development process?
💡 Hint: Consider how teams interact with data and the importance of consistency.
Challenge and get performance evaluation