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5 questions / Explanations link Microsoft sources / Last updated Oct 26, 2026
Question 1
Multiple choice
Domain 1 / Task 1.2 AI model components and configurations
A team wants to run an open model from the Foundry catalog on dedicated compute and pay for the hours that compute runs, not for tokens. Which way of running the model fits?
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Answer: C
Why
Managed compute hosts the model's weights on dedicated compute and bills by the hour, not by the token.
Why not the others
AGlobal Standard bills per token, with no dedicated compute to pay for by the hour.
BInstant access (preview) calls supported models by name with no deployment step at all.
DA serverless type for large jobs that can wait, billed per token at a discount.
A bank's mobile app saves each customer's short spoken request as an audio file and needs the text back right away. Recognition keeps missing the bank's product names. Which two Azure Speech features address these needs? Choose two.
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Answers: B and D
Why
Fast transcription returns the text of a pre-recorded file quickly and synchronously. Custom speech improves recognition of product names, jargon and accents.
Why not the others
ATurns speech into text or speech in another language. The app needs the request back in its own language.
CFor large volumes of stored recordings, processed asynchronously.
EBuilds a synthetic voice for text to speech; it does not improve recognition.
A company has one Foundry resource that holds its model deployments. Two teams each need their own agents, files and connections, and both will use the same deployments. What should the company set up?
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Answer: A
Why
The Foundry resource holds the model deployments and Foundry Tools. Projects inside it hold agents, files and connections, and one resource can hold many projects that use the same deployments.
Why not the others
BDuplicates deployments that the teams can already share.
CLeaves both teams' agents, files and connections in one workspace.
DEach team gets its own agents, but the files and connections in that project stay shared.
A pharmacy's phone line must answer spoken questions in one chosen neural voice, use SSML to pronounce drug names, and keep a written transcript of every call. Which design fits?
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Answer: B
Why
The pipeline keeps the Speech features the scenario names: a chosen neural voice with SSML for the replies, and a transcript from speech to text for the records.
Why not the others
AFits simple voice question and answer with one deployment, but gives no SSML control over how drug names are pronounced.
CRepeats the question in another language or voice. Nothing in it answers the question.
DBatch is for archives processed later, so no caller gets a spoken answer.
Domain 2 / Task 2.4 Information extraction solutions
A records team scans thousands of typed letters and needs only the text of each page, with no tables, sections or fields. Which prebuilt Content Understanding analyzer fits?
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Answer: D
Why
prebuilt-read is the content extraction analyzer for basic OCR: it extracts words and paragraphs without layout analysis.
Why not the others
AAdds tables, sections and figures to the OCR, which the team does not need.
BReturns a ready-made schema of invoice fields.
CPrepares Markdown, descriptions and summaries for search and RAG indexing.
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