Practice Summary (15.9) - Cloud Computing in Data Science (AWS,Azure, GCP)

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9 questions

Flashcard drill
4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does IaaS stand for?
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Remember, it's about providing virtualized resources.
Question 2.
Name one key benefit of cloud computing.
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Think about how resources can be managed.
3Question 3.
What does PaaS stand for?
- Platform as a Service
- Presentation as a Service
- Performance as a Service
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Think about the services related to application management.
4Question 4.
True or False: SaaS requires managing hardware infrastructure.
- True
- False
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Think about how software is delivered.
Question 5.
You have a data science project that requires rapid scaling during peak times. Which cloud service model would you recommend and why?
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Consider the need for adjustments in resource allocation during peak times.
Question 6.
Create a comparative analysis of how AWS, Azure, and GCP can address specific data science use cases.
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Explore practical applications like predictive analytics or machine learning deployment.

5 more questions in this section. Enroll free to practise them all.