Practice Deployment (12.3.7) - Introduction to Data Science - CBSE 10 AI (Artificial Intelleigence)

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9 questions

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

Question 1.
What does deployment mean in the context of data science?
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Think about the final steps after creating a model.
Question 2.
Why is monitoring important after deployment?
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Consider changes in data trends.
3Question 3.
What is the purpose of deployment in a data science project?
- Data Collection
- Making a model available for use
- Data Cleaning
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Think of the last phase before starting practical applications.
4Question 4.
Monitoring a deployed model ensures it continues to deliver accurate results.
- True
- False
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Consider the importance of changes in data.
Question 5.
You are tasked with deploying a machine learning model for predicting loan approvals. Discuss the steps to ensure successful deployment, including ways to monitor the model's effectiveness.
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Consider both technical steps and user engagement.
Question 6.
Reflect on a scenario where a model fails post-deployment. What are the potential reasons, and how would you address this failure?
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Think about both data and personnel factors.

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