Practice Cloud-based Mlops (15.7) - Cloud Computing in Data Science (AWS,Azure, GCP)

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9 questions

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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 MLOps stand for?
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Consider what operations might be associated with machine learning.
Question 2.
Which cloud platform uses SageMaker?
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Think about the major cloud providers.
3Question 3.
What does MLOps stand for?
- Machine Learning Operations
- Modified Learning Operations
- Machine Learning Optimization
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Think about operations related to ML.
4Question 4.
True or False: Continuous Integration helps in automating deployment processes.
- True
- False
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Consider what continuous integration implies.
Question 5.
Discuss how you could implement a model drift detection system in a cloud environment using MLOps.
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Consider how cloud tools can facilitate real-time data processing and alerts.
Question 6.
How would you reconcile the need for frequent updates in MLOps while ensuring system stability?
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Think about the balance between innovation and reliability in deployment.

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