Implement generative AI and agentic solutions (30–35%)

Microsoft Certified: Azure AI Apps and Agents Developer Associate · 65 questions

• A city wants residents to use a permitting pre-check chat before filing. Which Foundry generative step should developers implement first for that experience?
• County 311 needs high-volume address-normalization suggestions with tight cost and latency budgets. Which generative model choice fits best in Foundry?
• Transit staff need help turning GTFS snippets into reusable service-alert templates. Which Foundry model type best supports that assisted authoring?
• Parks wants a generative app that drafts accessible descriptions of trail-map images for the website. Which Foundry consumption pattern fits?
• A housing authority needs the resident bot to cite current occupancy rules from policy PDFs rather than invent answers. Which generative pattern should they implement?
• A clerk's office needs a generative flow that classifies a filing type, drafts a checklist, then cites applicable fees. Which application design fits?
• Public health wants a generative reply that first pulls live clinic hours from an API, then drafts the resident message. Which pattern should developers build?
• A library catalog bot sometimes invents book holds that do not exist. What should the team evaluate for in the generative app?
• After refreshing the storm-debris FAQ index, 311 wants to know whether answers still match resident questions well. What should they measure?
• Emergency management plans to launch a public preparedness chatbot. Which evaluation should they complete before go-live?
• A water utility billing portal must call the generative service from its existing web application. Which integration approach fits Foundry?
• An open-data portal web app must reach the correct Foundry project that hosts the generative assistant. What should administrators configure?
• Courts staff need ordinance summaries streamed from a model that is already deployed in Foundry. What should the staff application do?
• A city grants portal must answer eligibility questions from published rulebooks, not from unverified model guesses. Which pattern should the team implement?
• Transit wants a generative workflow that drafts delay notices and then waits for PIO tool confirmation before publishing. Which design fits?
• Housing staff worry the RAG bot cites lease clause IDs that do not match retrieved documents. What should they evaluate?
• Parks wants a seasonal copy generator that sends drafts into the department CMS through an API. Which Foundry generative-app approach fits?
• County 311 is switching the bot to a newer multimodal deployment and needs assurance before full cutover. What should the team do?
• A clerk needs a generative step that emits structured JSON fields the fee calculator can ingest. Which generative-app technique should be used?
• Public works wants a field-supervisor coaching chat grounded in standard operating procedures rather than improvised advice. Which pattern should they implement?
• A city library wants a Python service that answers storytime-program questions using a Microsoft Foundry project. Which integration pattern should the developer implement?
• A mayor’s office must evaluate both safety and tone quality of a public town-hall summary generator before wider release. Which approach best fits that combined evaluation?
• A city is building a permitting agent that must stay in a filings-help role, pursue a clear goal, and track multi-turn filing conversations. What should the team define first in Foundry agent design?
• A county 311 team wants an agent that can create service requests through an API. Which design step is essential for reliable function-calling?
• A transit authority needs an agent that answers from service bulletins and also calls a live ETA function. Which pattern should the developer implement?
• A housing authority agent must remember a resident’s open work-order context across multiple turns. Which capability should be implemented?
• A city clerk needs an agent that uses filing instructions from a knowledge store and looks up current fees from an API. How should those capabilities be exposed?
• A library agent must read a scanned community-event flyer before answering patron questions about the event. Which tool pattern is appropriate?
• Emergency operations wants intake, logistics, and public-information draft work handled by cooperating specialists rather than one overloaded bot. Which design should they implement?
• A water utility wants an agent that drafts shutoff notices but must not send them without a supervisor. Which agent pattern should they use?
• Parks staff see a deployed events agent giving wrong venue answers and need to improve it. What should they do next?
• An open-data portal agent must query the city’s dataset metadata catalog through a controlled interface. Which tool approach is most appropriate?
• A courts public FAQ agent must help residents find information but must never mutate case records. How should its tools be constrained?
• A public-health agent walks residents through a triage flow and then must connect them to a nurse line. Which combination should the design include?
• A 311 system uses a classifier agent and a work-order agent that must share intake context. Which orchestration pattern fits?
• A transit agency is piloting an autonomous agent that suggests service reroutes but must not post to public channels unchecked. What should the workflow include?
• A housing authority wants its agent to cite eligibility policy instead of improvising rulings. How should agent goals be written?
• A clerk agent’s fees API sometimes times out. What should the team design after analyzing those tool failures?
• Library staff need an agent that searches an internal wiki and can book meeting rooms through an API. Which tool mix is correct?
• A fire department wants a runbook assistant where research work stays separate from dispatch suggestions. Which multi-agent choice supports that?
• City IT just deployed a permitting agent and must observe traces, failures, and usage in production. What should they add?
• A county benefits agent must check whether an ID number is valid against an eligibility API before continuing. Which technique should it use?
• A parks planning agent must check weather and the facilities calendar before advising on outdoor event feasibility. What should its tool design include?
• The mayor’s office wants an agent to draft replies to batches of constituent email but not send them unsupervised. Which control is required?
• A city wants its permitting bot to stay concise and avoid sounding like legal counsel. Which optimization should the team apply?
• A county benefits bot drafts eligibility summaries. Which optimization should the team add before showing a final summary to a resident?
• A transit authority needs to see where rider-agent delays and token spend come from after each release. Which capability should the team implement?
• A housing authority wants cheap FAQ answers for routine questions but a stronger model for complex lease interpretations. Which optimization pattern should they use?
• A clerk of courts needs fee quotes that never invent amounts outside the statutory fee table. Which orchestration approach should the developer implement?
• After a prompt change, a 311 team wants to know if unsafe replies rose even when latency looks fine. What should their observability include?
• A public-health department wants richer critique of triage drafts without exposing long reasoning chains to residents. Which approach fits?
• A city library's program assistant is overspending tokens on long prompts and oversized retrieval chunks. Which optimization should the team apply?
• A water utility shares one Foundry deployment across departments and needs fair cost allocation. Which operational capability should they enable?
• Emergency management wants alert severity decided deterministically, then rewritten in plain language for the public. Which pattern should they implement?
• Parks staff keep getting overlong brochure drafts from their generative app. Which model-parameter change best addresses that?
• An open-data portal's RAG answers feel slow. What observability step helps the team find whether retrieval or the model is the bottleneck?
• Courts IT wants docket summaries shown to clerks only when citation IDs are present. Which generative optimization helps catch missing citations?
• A city portal routes simple how-to questions cheaply and complex policy questions to a stronger model. Which optimization describes this?
• A housing work-order agent sometimes fails when calling maintenance APIs. What should operations dashboards track?
• Transit wants grounded service-change answers to always include the effective date. Which optimization should the team apply?
• A county finds that reflection loops improve 311 answer quality but push latency past the published SLA. What should the team do?
• A library wants seasonal program assistants to keep an approved voice when volunteers edit prompts. Which operational practice should they adopt?
• Public works needs outage maps from GIS to be authoritative, with the LLM only explaining the affected area in plain language. Which pattern fits?
• After enabling a new constituent-email agent, the mayor's office needs to watch for rising unsafe outputs. Which practice should they follow?
• A clerk's office wants one assistant experience that runs intake, then fee quote, then checklist generation as coordinated steps. Which optimization should they implement?