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Latest AI-900 Exam Practice Questions

The practice questions for AI-900 exam was last updated on 2025-04-26 .

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Question#1

HOTSPOT
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

Explanation:
A webchat bot can interact with users visiting a website.
Yes, webchat bots are designed to interact with users on websites, providing automated responses, guidance, and information in real-time.
Automatically generating captions for pre-recorded videos is an example of conversational AI.
No, automatically generating captions for videos is more related to speech recognition and natural language processing, but it's not conversational AI, which involves two-way interaction in natural language.
A smart device in the home that responds to questions such as "What will the weather be like today?" is an example of conversational AI.
Yes, conversational AI involves two-way interaction in natural language, and a smart device responding to user queries aligns with this definition.

Question#2

HOTSPOT
To complete the sentence, select the appropriate option in the answer area.

Explanation:
Confidence
Confidence is the calculated probability of a correct image classification. In classification tasks, the model often outputs a confidence score representing the probability that the given input belongs to each of the possible classes.

Question#3

You need to generate images based on user prompts.
Which Azure OpenAI model should you use?

A. GPT-4

B. DALL-E

C. GPT-3

D. Whisper

Question#4

HOTSPOT
You have the following dataset.

You plan to use the dataset to train a model that will predict the house price categories of houses.
What are Household Income and House Price Category? To answer, select the appropriate option in the answer area. NOTE: Each correct selection is worth one point.

Explanation:
Box 1: A feature
Box 2: A label

Question#5

Which metric can you use to evaluate a classification model?

A. true positive rate

B. mean absolute error (MAE)

C. coefficient of determination (R2)

D. root mean squared error (RMSE)

Explanation:
What does a good model look like?
An ROC curve that approaches the top left corner with 100% true positive rate and 0% false positive rate will be the best model. A random model would display as a flat line from the bottom left to the top right corner. Worse than random would dip below the y=x line.
Reference: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-ml#classification

Exam Code: AI-900Q & A: 277 Q&AsUpdated: 2025-04-26

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