Important Microsoft AI-901 Exam Questions

Answer: B

Explanation:

The requirement is to convert written customer notifications into natural-sounding spoken audio. This is speech synthesis, also known as text to speech.

Microsoft's Azure Speech documentation describes text to speech as a capability that converts text into natural-sounding synthesized speech. Therefore, for playing written notifications over a phone system, the correct Azure Speech capability is speech synthesis.

Why the other options are incorrect:

A . speaker recognition identifies or verifies speakers by voice. C . speech recognition converts spoken audio into text. D . speech translation translates spoken audio between languages.

Answer: B

Explanation:

To compare the costs of large language models in Microsoft Foundry portal, use the Model leaderboard.

Microsoft documentation states that the model leaderboard helps compare models across quality, safety, estimated cost, and throughput. It also supports trade-off charts and side-by-side model comparison for features, performance, and estimated cost.

Why the other options are incorrect:

A . Evaluator catalog is for selecting evaluators to measure model or application outputs, not comparing LLM costs. C . Compliance relates to governance and compliance, not model cost comparison. D . Tools provides Foundry tools, not benchmarked cost comparison across models.

Answer: D

Explanation:

For a vision-enabled model, Microsoft documentation shows that multimodal prompts can include both text and image content in the same user message content array. Azure OpenAI vision models accept multimodal image-and-text input and return natural language responses.

The correct request structure is a user message with a content array containing both items, for example:

{ 'role': 'user', 'content': [ {'type': 'input_text', 'text': 'What is in this image?'}, {'type': 'input_image', 'image_url': image_url} ] }

This avoids sending separate requests and is therefore the best choice for quickest response time.

A and C are incorrect because they send the text and image separately. B is incorrect because the image/question should be sent as a user message, while system messages are used for instructions and behavior.

Answer: A, B

Explanation:

Microsoft Foundry Agent Service documentation states that instructions define goals, constraints, and behavior for an agent. Therefore, instructions are used to guide how the generative AI model or agent should respond and behave.

Option A is correct because instructions can define constraints the model must follow.

Option B is correct because instructions can define the agent's role and behavior.

Options C, D, and E are incorrect because Azure region, model selection, and TPM allocation are configuration or deployment/resource settings, not purposes of prompt instructions.

Answer: C

Explanation:

Voicemail recordings are audio content. Azure Content Understanding analyzers define what type of content to process, including documents, images, audio, or video, and what elements to extract, including transcripts and structured fields.

Microsoft's custom analyzer documentation also shows an audio example based on prebuilt-audio for processing customer support call recordings, which is the same content type as voicemail recordings.

Therefore, to extract a transcript and structured information from voicemail recordings, you should use an audio analyzer.