Practice Hands-on Exercise Ideas (15.8) - Cloud Computing in Data Science (AWS,Azure, GCP)

Practice: Hands-On Exercise Ideas

Lesson 15.8Cloud Computing in Data Science (AWS,Azure, GCP)

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10 questions

Flashcard drill
2 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
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What platform would you use to create a Jupyter Notebook?
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Think about AWS services for machine learning.
Question 2.
What does REST API stand for?
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Consider APIs and state transfer.
3Question 3.
What service allows you to create and manage Jupyter Notebooks?
- AWS Lambda
- AWS SageMaker
- GCP Dataflow
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Think about AWS services focused on machine learning.
4Question 4.
Is BigQuery ML used for SQL-based machine learning?
- True
- False
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Recall the primary function of BigQuery.
Question 5.
Design a model in SageMaker that predicts stock prices based on historical data. Outline each step from data loading to deployment.
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Use the steps of model training discussed in class.
Question 6.
Create a data pipeline using GCP Dataflow to continuously process user behavior data from a live feed. Describe how you would implement it.
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Focus on aspects of streaming and how data flows through the pipeline.

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