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

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does IaaS stand for?

πŸ’‘ Hint: Remember, it's about providing virtualized resources.

Question 2

Easy

Name one key benefit of cloud computing.

πŸ’‘ Hint: Think about how resources can be managed.

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 PaaS stand for?

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

πŸ’‘ Hint: Think about the services related to application management.

Question 2

True or False: SaaS requires managing hardware infrastructure.

  • True
  • False

πŸ’‘ Hint: Think about how software is delivered.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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

πŸ’‘ Hint: Consider the need for adjustments in resource allocation during peak times.

Question 2

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

πŸ’‘ Hint: Explore practical applications like predictive analytics or machine learning deployment.

Challenge and get performance evaluation