Implement text analysis solutions (10–15%)

Microsoft Certified: Azure AI Apps and Agents Developer Associate · 26 questions

• A clerk needs party names and case numbers pulled from free-text hearing requests. Which text-analysis approach should they use?
• 311 receives long resident complaint emails and must turn them into structured topic labels for routing. Which text-analysis capability should they apply?
• Housing receives free-text maintenance reports and needs machine-readable fields for unit, issue type, and urgency. Which output pattern should they use?
• A public-health department wants to understand whether community feedback about new clinic hours sounds frustrated, supportive, or mixed before staff reply. Which text-analysis capability should they apply first?
• A transit authority needs rider feedback that mentions threats or safety risks escalated to humans before any automated reply. Which text-analysis step should the pipeline include?
• A benefits office must find Social Security numbers and similar sensitive patterns in chatbot transcripts before logs are retained for analytics. What should the text-analysis workflow detect?
• A city library system needs bilingual program descriptions published from English source text using a dedicated translation service in Foundry Tools. Which approach fits best?
• A mayor's office receives constituent emails that need nuanced, context-aware rephrasing into another language beyond straightforward phrase substitution. When should they prefer an LLM-powered translation flow over basic Translator usage?
• A clerk of courts must produce compliance-oriented summaries of lengthy administrative orders that always retain mandatory legal citations and omit casual commentary. How should they customize language-model text analysis?
• A water utility wants work-note extraction that understands meter-related jargon such as register freeze and AMI hop failures. What customization should they apply?
• An open-data team receives thousands of dataset suggestion emails and needs recurring themes identified for the product backlog. Which text-analysis capability should they run at scale?
• Emergency management needs a short EOC board brief built from many multi-agency status emails without requiring directors to read every thread. Which text-analysis action best fits?
• A parks department notices reservation cancellation messages growing sharper and wants an early signal of service problems. Which analysis should they apply to those messages?
• County counsel wants ordinance amendment drafts turned into structured JSON fields such as section id, change type, and effective date to support diff-review helpers. What should text analysis produce?
• A 311 call center wants residents to dictate service requests over a phone IVR that feeds an agentic intake flow. Which speech capability should they implement first?
• A transit rider app agent must speak gate-change announcements aloud inside the app when travelers cannot easily read the screen. Which speech capability should the team add?
• A public library wants its internet-PC assistant to accept spoken questions and reply with spoken answers for patrons who struggle with keyboard-only interaction. What should they enable?
• A clerk of courts finds that generic speech recognition mishears local docket jargon during dictation into the case assistant. Which speech approach should they explore?
• Emergency operations wants an incident assistant that reasons over radio-clip audio—not only transcripts—to surface situational cues for responders. Which capability should they enable?
• A public-health clinic must turn spoken discharge instructions into another language for patients during the same visit. Which speech solution should they implement?
• Housing maintenance staff need to dictate inspection notes that flow directly into the case agent for follow-up tasks. How should speech connect to the agent workflow?
• A parks kiosk agent must read trail alerts aloud for visitors who cannot rely on on-screen text alone. Which speech pattern should they implement?
• A city council AV team needs live multilingual accessibility drafts from spoken town-hall remarks for residents who use other languages. Which speech capability should they use?
• Field technicians at a water utility ask spoken questions about SOPs and need answers grounded in the approved procedures library. Which design should the agent use?
• An open-data team records podcast clips and wants newsletter drafts that start from speech, then apply summarization. Which pipeline order is correct?
• A clerk's office phone tree uses speech-to-text and text-to-speech but must transfer to a human when recognition confidence is low. Which safeguard should they configure?