A company has deployed an ML model that recommends products. The model's offline metrics are excellent, but the business team reports that the feature is not generating expected revenue. They suspect the model is not aligned with business goals. Which approach should they take to evaluate the model's business impact?

Retrain the model with more data

Run an A/B test comparing the model's recommendations to a baseline

Use customer feedback to adjust the model

Increase the model's precision to improve recommendation quality

A company needs to deploy a model for a niche domain where no pre-trained model exists. They have a small team of ML engineers and a limited budget. They need to decide between training a custom model from scratch or using a foundation model and fine-tuning it. Which factor should they primarily consider?

The cost of the foundation model API

The latency requirements of the application

The amount of labeled data available for the niche domain

AWSCertified AI Practitioner

Domain 1Objective 3

Task Statement 1.3: Describe the AI/ML Development Lifecycle. AIF-C01 Practice Questions (Page 1)

Part of the Content Domain 1: Fundamentals of AI and ML domain, which makes up ~20% of our current practice bank. AWS does not publish an official question count, but from its 90-minute exam (~35–60 total, ~7–12 in this domain), expect 2–4 from this objective — we provide 29 practice questions to prepare you well beyond it. (estimate)

29questions here

6free pages

7concepts

Questions 1–5

1foundation · easy
Which model deployment method gives an organization full control over the serving infrastructure, such as the instance type, scaling policies, and software environment, but requires the organization to manage and maintain that infrastructure?
Select an answer first
2foundation · easy
Which model performance metric measures the proportion of true positive predictions out of all positive predictions made by the model?
Select an answer first
3expert · hard
A company has deployed an ML model that recommends products. The model's offline metrics are excellent, but the business team reports that the feature is not generating expected revenue. They suspect the model is not aligned with business goals. Which approach should they take to evaluate the model's business impact?
Select an answer first
4foundation · easy
An organization trains a foundation model from scratch using its own proprietary dataset to address a highly specialized domain. Which source of foundation models does this represent?
Select an answer first
5expert · hard
A company needs to deploy a model for a niche domain where no pre-trained model exists. They have a small team of ML engineers and a limited budget. They need to decide between training a custom model from scratch or using a foundation model and fine-tuning it. Which factor should they primarily consider?
Select an answer first

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Task Statement 1.3: Describe the AI/ML Development Lifecycle. AIF-C01 Practice Questions (Page 1)

Questions 1–5

Which model deployment method gives an organization full control over the serving infrastructure, such as the instance type, scaling policies, and software environment, but requires the organization to manage and maintain that infrastructure?

Which model performance metric measures the proportion of true positive predictions out of all positive predictions made by the model?

An organization trains a foundation model from scratch using its own proprietary dataset to address a highly specialized domain. Which source of foundation models does this represent?

Keep studying — Content Domain 1: Fundamentals of AI and ML