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

15 - Cloud Computing in Data Science (AWS, Azure, GCP)

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does IaaS stand for?

💡 Hint: Think about how resources are provided.

Question 2 Easy

Name one benefit of cloud computing.

💡 Hint: It's about size and resource management.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does SaaS stand for?

Software as a Service
System as a Service
Storage as a Service

💡 Hint: Look for software delivery models.

Question 2

Cloud computing increases resource availability. True or False?

💡 Hint: Think about how resources can be adjusted.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Describe a scenario where a data scientist may prefer GCP over AWS for a specific machine learning project.

💡 Hint: Focus on the strengths of GCP in analytics.

Challenge 2 Hard

Propose an integrated cloud strategy for a company that needs a combination of IaaS, PaaS, and SaaS. Which platforms will you select and why?

💡 Hint: Consider the strengths and specific needs for each part of the strategy.

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