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Microsoft AI-103 Exam Practice Questions, practice question pack
MICROSOFT · AI-103

Microsoft AI-103 Exam Practice Questions

99% pass rateUpdated 1 Nov 2026187 questions2 PDFs, instant download
5.03 reviews
(3 customer reviews)

US$39

Every question with the correct answer and why the other options are wrong.

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99% pass rate. Pass or your money back.Fail the exam after using this pack and we refund it, or swap it for any other pack. How the guarantee works
No complaints, passed AI-103.
ROHAN NAIRAI-103
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TRY BEFORE YOU BUY

Three of the 187 questions in this pack

Question 1

You are planning a Microsoft Foundry project named Project1 that will contain multiple agents. Each agent will access the same Azure AI Search resource.

You need to recommend a solution to centrally manage the Azure AI Search credentials within Project1. The solution must be implemented across all the agents.

What should you recommend?

  1. Enable role-based access control (RBAC) for the Azure AI Search resource.
  2. Disable key-based access control on the Azure AI Search resource.
  3. Add a connection to the Azure AI Search resource.
  4. Create a managed private endpoint that connects to the Azure AI Search resource.
Show answer and explanation

Correct answer: C. Add a connection to the Azure AI Search resource.

A connection in a Microsoft Foundry project stores the endpoint and authentication details for an external resource such as Azure AI Search in one place. Every agent in the project can reference the same connection, so the credentials are managed centrally and are not duplicated in each agent's code or configuration. When the credentials change, updating the single connection updates the behavior for all agents. This directly meets the requirement to centrally manage the Azure AI Search credentials across all the agents in Project1.

Why the other options are wrong

  • A. Enabling RBAC on the search resource controls who is authorized but does not create a central credential definition that the agents share.
  • B. Disabling key-based access removes one authentication method but does not give the agents a central place to obtain the search credentials.
  • D. A managed private endpoint secures the network path to the search resource and does not manage credentials.

Question 2

You have a Microsoft Foundry project that contains an agent. The agent uses Azure Speech in Foundry Tools.

You fine-tune a baseline speech to text model for the en-us locale and publish the model.

The agent calls the Speech to text REST API and returns an error message indicating that the project ID is invalid.

You need to set the project property to the correct ID.

To what should you set the project property?

  1. the project URL
  2. the custom speech project ID
  3. the project ID
  4. the custom speech endpoint URL
Show answer and explanation

Correct answer: B. the custom speech project ID

A fine-tuned speech to text model belongs to a custom speech project in Azure AI Speech. When the Speech to text REST API creates or references custom speech resources such as models, datasets and endpoints, the project property identifies the custom speech project that owns them. That value is the custom speech project ID, a GUID assigned when the custom speech project is created. It is different from the identifier of the Microsoft Foundry project, so supplying the Foundry value produces the invalid project error.

Why the other options are wrong

  • A. A project URL is an address, not the project identifier that the project property expects.
  • C. The Foundry project ID identifies the Foundry project, not the custom speech project that owns the fine-tuned model.
  • D. The custom endpoint URL is where recognition requests are sent and is not a project identifier.

Question 3

You have an Azure Speech in Foundry Tools resource that hosts a custom speech to text model deployed to a custom endpoint. An agent uses the endpoint to perform real-time speech recognition.

You are approaching the expiration date of the custom speech to text model.

What is the expected behavior when the model expires?

  1. Speech recognition requests will return a 4xx error until a new custom model is deployed.
  2. Speech recognition requests will continue to use the expired custom model until the model is removed manually.
  3. Speech recognition requests will fall back to the most recent base model for the same locale.
  4. The custom model will be deleted automatically when the model expires.
Show answer and explanation

Correct answer: C. Speech recognition requests will fall back to the most recent base model for the same locale.

Custom speech models have an expiration date for use in transcription. When a model that is deployed to a custom endpoint expires, Azure AI Speech keeps the endpoint working by falling back to the most recent base model for the same locale. Real-time recognition requests continue to succeed, but they no longer benefit from the custom adaptation, so accuracy for domain-specific vocabulary can drop. To keep the custom behavior, retrain the model on a newer base model and redeploy it before the expiration date.

Why the other options are wrong

  • A. Requests to a custom endpoint do not start failing with 4xx errors when the model expires because the endpoint falls back to a base model.
  • B. The expired custom model is not used for recognition after expiration, even if it is not removed.
  • D. Expiration does not delete the custom model automatically; it only stops the model from being used for transcription.

See all 47 free questions Get the full pack, US$39

REVIEWS

3 reviews for Microsoft AI-103 Exam Practice Questions

  1. ROHAN NAIR –

    No complaints, passed AI-103.

  2. Liu Sharma –

    Great resource for AI-103.

  3. Mona Greco –

    Got my AI-103

Only logged in customers who have purchased this product may leave a review.

How much of the Microsoft AI-103 bank is free?

187 questions in the bank

Each step includes the one before, so buying only adds new questions.

  • You are here10questionsFree sampleThree on this page, all ten as a PDF.Download the sample
  • 4725% of the bankPractice pageFree on the site, every answer explained.Go to the practice page
  • 93the first half of the packHalf PackFree by email, as one PDF, every answer explained.Get the Half Pack
  • 187100%, the whole bankFull pack, US$39Plus the questions-only PDF, monthly updates, refund if you fail.Get the full pack
ABOUT THIS PACK

What’s in the Microsoft AI-103 pack

  • 187 questions mapped to the AI-103 exam objectives
  • Answers and explanations for every question, including the wrong options
  • A questions-only PDF for timed practice runs
  • Instant delivery by email the moment you check out
  • Free monthly updates for as long as the exam is live
  • Pass or your money back

An AI-103 attempt costs US$165 in the US. This pack is US$39, paid once.

What makes the AI-103 hard

AI-102 retired on 30 June 2026. AI-103 is what replaced it, and it is not the same exam with a new number.

Microsoft rebuilt the blueprint around Microsoft Foundry and agents: planning and managing Foundry AI resources, building generative apps with multistep reasoning, RAG over private data, and developing production agents with multi-agent orchestration. The classic Azure AI services, vision, language and speech, are still underneath, but the framing has shifted from calling the API to shipping the agent. Candidates coming across from AI-102 notes consistently find half their material no longer maps.

Because AI-103 is so new, question banks are still small, which is exactly when the practice questions matter most. This pack has 187 practice questions for the AI-103.

About the exam

AI-103 certifies building generative AI applications and agents on Azure: Microsoft Foundry, Azure AI services, RAG patterns and multi-agent orchestration. It replaced AI-102, which retired on 30 June 2026, and renews annually via a free online assessment.

Questions before you buy

How quickly do I receive it?

Straight away. The full PDF and a questions-only copy are emailed to you the moment your payment goes through, and the same links are on your order page.

Are updates included?

Yes. The pack is updated every month for as long as the exam is live, and updates are free for everyone who has bought it.

What if I fail the exam?

We refund the pack, or swap it for any other pack if you would rather keep studying. Sit the exam 7 to 30 days after buying, then send your official score report within 7 days of the exam date, as set out in the refund policy.

What is your pass rate?

99% of customers who prepare with a CertStash pack pass. If you do not, we refund the pack, or swap it for another pack.

Can I share it with colleagues?

Each purchase is licensed to one person. For a team, school or training organisation, email support@certstash.com for a licence that fits.

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