Plan and manage an Azure AI solution (25–30%)

Microsoft Certified: Azure AI Apps and Agents Developer Associate · 55 questions

• A city permits office needs a simple FAQ bot that answers text questions about zoning rules and never processes photos or scanned plans. Which Foundry model choice best fits that generative task?
• A county 311 team wants resident answers grounded in published open-data PDFs rather than freeform model guesses. Which planning decision best meets that requirement?
• A transit authority needs an agent that reads service-alert knowledge and calls live bus ETA APIs for riders. Which Foundry service mix should the AI developer plan?
• A public-health department must analyze clinic photos together with clinician text notes in one workflow. Which Foundry choice best matches that multimodal civic workload?
• A housing authority indexes lease PDFs so a resident assistant can answer questions from those documents. Which retrieval and indexing approach should the team select?
• Emergency management wants an agent that remembers prior incident briefings across shift handoffs. Which Foundry planning choice addresses that need?
• A library system needs a staff agent that can call the catalog API and also answer from a policies knowledge base. How should tool and knowledge services be matched?
• A parks department only needs seasonal brochure copy generated from outlines—no tool calling or multi-step agents. Which Foundry path should they choose?
• A clerk of courts wants a resident bot that finds answers in docket guides by meaning, not only exact keyword matches. Which grounding search style should they plan?
• A water utility wants form OCR enrichment before an agent answers billing questions from scanned statements. Where do Foundry Tools fit in that plan?
• School-district public IT needs an on-budget classroom-help bot with tight latency targets. Which model class should they favor for that constraint?
• A city open-data portal must index both CSV dataset metadata and PDF methodology notes for a resident search assistant. Which indexing plan fits that heterogeneous content?
• A fire department agent must consult a radio-log knowledge store and call a CAD status API. Which Foundry design best combines those needs?
• The mayor’s office wants multimodal models for press-photo captioning but text models for legislative Q&A. Which planning principle should guide that split?
• County IT must design Azure infrastructure for a Foundry project that hosts a permitting chatbot and shared models. What should that design emphasize?
• City DevOps needs a deployment option for a seasonal parks chatbot that spikes on holiday weekends. Which approach best fits variable civic load?
• A transit team is configuring a rider-assistant inside a Foundry project. Which setup step is essential?
• A housing authority wants Foundry project builds to ride the existing municipal CI/CD pipeline. What integration should they implement?
• Public works wants clear separation between a sandbox Foundry project and the production resident-facing agent. Which environment design is appropriate?
• A clerk’s office will share one summarization model across multiple department apps. Which Foundry deployment pattern fits?
• Emergency ops needs low-latency agent responses near the Azure region that hosts CAD integrations. Which infrastructure consideration matters most?
• A library configures an agent deployment so it can reach only approved catalog and hours APIs. What configuration practice does that reflect?
• A city platform team must document how the 311 web app connects to its Foundry project. Which setup concern is central?
• A health department will promote a tested agent from staging to production using pipeline gates. Which CI/CD practice applies?
• Parks plans deployment capacity before launching a summer festival chatbot expected to draw heavy traffic. What should capacity-aware deployment include?
• A county security review for a Foundry-based permitting assistant requires AI traffic to stay off the public internet between Azure resources. Which design choice should the platform team include?
• A water utility runs Foundry agents for both field operators and a public billing chatbot. What setup best separates those audiences?
• An open-data team’s Foundry generative app depends on a civic search index whose schema changes with each data release. How should they keep the app aligned?
• After a major storm, a city’s resident AI assistant spikes in usage and FinOps sees token spend and throttling. What should the AI platform team manage first?
• A transit authority updates bus-route PDFs, then riders report wrong answers from the Foundry RAG assistant. What should operations monitor?
• A public-health FAQ agent starts missing newer vaccine-policy wording that residents now use. What monitoring concern does this raise?
• 311 operations notice abusive and unsafe messages hitting the city’s public chatbot. Which operational practice should they emphasize?
• A housing authority bulk-uploads lease PDFs and the job fails halfway. What should the AI ops team monitor for the resident assistant’s retrieval layer?
• A clerk of courts agent must call Azure resources from Foundry without embedding long-lived secrets in code. What credential approach should they configure?
• A county runs a confidential casework bot on Foundry and must keep the endpoint off the public internet. Which control should they apply?
• A library system wants volunteers to help draft content but not redeploy production Foundry agents. What should administrators apply?
• Emergency management runs tabletop drills that hammer the same Foundry models used by the live public alert bot. How should they protect the live workload?
• After a tariff change, a water utility’s billing FAQ retrieval starts returning outdated policy chunks. What should AI ops monitor?
• A city SOC sees a sudden spike in tool calls from a Foundry agent tied to a service principal that may be compromised. What capability does this illustrate?
• Parks expects a weekend concert series to spike chatbot traffic and wants capacity without a permanent year-round cost jump. What approach fits?
• An open-data portal’s RAG pipeline begins producing empty embeddings and failed skillset runs. What should operators alert on?
• Courts IT still uses shared API keys across Foundry connectors and wants a safer pattern. What migration should they prioritize?
• A city is preparing a public 311 generative assistant on Foundry. Which responsible AI control should be configured before launch?
• A county must release a benefits-eligibility agent but leadership requires evidence it behaves safely. What should the team enable before release?
• A housing authority requires every denial-explanation answer from its Foundry assistant to be reconstructible later for appeal review. What should they require?
• A clerk’s filings agent can draft submissions but must not file documents without a human. Which responsible AI pattern fits?
• A transit rider assistant must call service-alert and ETA tools but must never reach internal payroll APIs. What control enforces this?
• A public-health mental-health resource chatbot must detect self-harm language and respond with safe redirection. Which responsible AI capability is required?
• The mayor’s office wants reviewers to see why the policy bot cited a particular ordinance section. What should the solution emphasize?
• A library patron assistant must refuse medical diagnosis requests and stay within library-service scope. Which control should be configured?
• Emergency operations wants an agent to draft public alert text, but a public information officer must approve it before release. Which responsible-AI control should be configured?
• A water utility caught a wrong shutoff-notice draft during review and needs to reconstruct how the agent produced it. Which responsible-AI practice should the team use?
• A parks events agent must not invent sponsorship deals that the city never approved. Which responsible-AI approach should be applied?
• An open-data team plans to enable image upload in a multimodal civic app. What should they run before expanding that feature?
• Courts IT must keep a public FAQ agent from using the same mutable docket tools available to an internal staff agent. Which governance approach fits?