Practice Summary - 15.9 | 15. Cloud Computing in Data Science (AWS,Azure, GCP) | Data Science Advance
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Summary

15.9 - Summary

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does IaaS stand for?

💡 Hint: Remember, it's about providing virtualized resources.

Question 2 Easy

Name one key benefit of cloud computing.

💡 Hint: Think about how resources can be managed.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does PaaS stand for?

Platform as a Service
Presentation as a Service
Performance as a Service

💡 Hint: Think about the services related to application management.

Question 2

True or False: SaaS requires managing hardware infrastructure.

True
False

💡 Hint: Think about how software is delivered.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You have a data science project that requires rapid scaling during peak times. Which cloud service model would you recommend and why?

💡 Hint: Consider the need for adjustments in resource allocation during peak times.

Challenge 2 Hard

Create a comparative analysis of how AWS, Azure, and GCP can address specific data science use cases.

💡 Hint: Explore practical applications like predictive analytics or machine learning deployment.

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