Practice Benefits Of Cloud Computing For Data Science (15.1) - Cloud Computing in Data Science (AWS,Azure, GCP)

Practice: Benefits of Cloud Computing for Data Science

Lesson 15.1Cloud Computing in Data Science (AWS,Azure, GCP)

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9 questions

Flashcard drill
3 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 is scalability in cloud computing?
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Think about how resources change with differing amounts of data.
Question 2.
Explain cost efficiency in the context of cloud computing.
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Consider how paying only for what you use can be beneficial.
3Question 3.
What is one of the primary benefits of cloud computing concerning resource allocation?
- Fixed Resources
- Scalability
- Static Pricing
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Think about adjusting resources according to needs.
4Question 4.
True or False: Cloud computing typically leads to higher upfront costs for data science projects.
- True
- False
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Remember how costs are calculated with cloud services.
Question 5.
A startup is developing a new data science tool but is worried about initial costs. Discuss how adopting cloud computing might alleviate this concern.
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Consider how financial models work in the cloud.
Question 6.
Evaluate the implications of rapid resource provisioning on a data science team's project timeline.
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Think about how speed affects project cycles.

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