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

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

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.

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 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.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

Question 2

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.

Challenge and get performance evaluation