‹ All AI-103 questions

AI-103 Practice Question 31: Provisioned Spillover

Microsoft Azure AI Apps and Agents Developer Associate (AI-103) · Test 4 · question 1 of 10

Plan and manage an Azure AI solutionmedium

A retailer runs its assistant on a Global Provisioned deployment sized for normal load. During flash sales the PTUs saturate and callers start receiving 429 responses. Finance will not fund PTUs for the peak, and the team does not want to write client-side failover code or maintain a second endpoint in the application configuration.

What should they configure?

Select one answer
Show answer and explanation

Answer:

  • D. Spillover on the provisioned deployment, with a standard deployment in the same Foundry resource named as the spillover target

Spillover manages exactly this traffic shape: when the provisioned deployment returns a non-200 because PTUs are exhausted, the service automatically routes that request to a standard deployment instead. It needs a provisioned managed deployment and a standard deployment in the same Foundry resource, and is enabled either for the whole deployment (the spilloverDeploymentName property) or per request (the x-ms-spillover-deployment header). Requests the provisioned deployment serves cost only the hourly PTU charge; only the spilled-over requests are billed per token. Microsoft recommends enabling it on all global and data zone provisioned deployments.

- A is wrong because buying a second set of PTUs is the capacity spend finance rejected, and a traffic manager in front of two endpoints is the failover plumbing the team wanted to avoid. - B is wrong because backoff turns a failure into a delay. The request still waits out the burst, and during a flash sale the burst is the entire traffic window. - C is wrong because Global Batch is asynchronous with a 24-hour turnaround, and spillover targets a *standard* deployment. A shopper cannot wait for a batch job.

Reference: Manage traffic with spillover for provisioned deployments

Practice Test 4 ›

Study guides for AI-103

AI engineer roadmap 2026: skills, certs and the orderAI engineer roadmap for 2026: skills to learn in order, AI engineer vs ML engineer, which certifications fit each stage, and what to skip.
AI-200 exam guide: Azure AI Cloud Developer AssociateAI-200 replaced AZ-204: what the Azure AI Cloud Developer exam tests, how it differs from AI-103, price in USD and INR, format and how to prepare.
How AI Is Changing Software Jobs: Where to PrepareHow AI is changing software jobs: what history shows, the evidence on junior developers, what Klarna learned, new AI roles and five domains to prepare for.
AI-901 exam guide: Azure AI Fundamentals after AI-900AI-901 replaced AI-900: learn what changed, how much Python and Microsoft Foundry you need, exam costs in India, and how to prepare.
Best AI certifications 2026: AWS, Google, Microsoft, ClaudeThe best AI certifications in 2026 from AWS, Google, Microsoft, Claude and Databricks, by level, with price, status and which one to take first.
Microsoft AI certification path 2026: which exam firstMicrosoft AI certification path for 2026 - AI-901, AB-730, AI-103, AI-200, AI-300, AB-100, AI-500 and GH-300 by role, and which exam to take first.
AI-103 Certification Guide: What Changed From AI-102The AI-103 certification replaced AI-102 in 2026. Exam format, cost, the five skill domains, what changed and how to prepare, with free practice questions.
What Is RAG? How Retrieval-Augmented Generation WorksWhat RAG is and how it works: chunking, embeddings, vector search, hybrid search, reranking, GraphRAG and agentic RAG on AWS, Google and Azure.
Prompt engineering vs RAG vs fine-tuningWhen to use prompt engineering, retrieval-augmented generation, fine-tuning or continued pre-training, compared on cost, freshness, hallucination and privacy.