Implement computer vision solutions (10–15%)

Microsoft Certified: Azure AI Apps and Agents Developer Associate · 27 questions

• A parks department needs promotional images for a summer concert series flyer from a written description. Which computer-vision solution should they implement?
• Transit wants a short explainer video built from a script and approved station photos. Which generation approach should the team use?
• City communications must keep generated social graphics aligned with official logos. Which generation practice should they apply?
• Housing needs to remove a temporary construction fence from a generated community-room photo before publishing. Which editing technique should they use?
• A clerk must anonymize faces in a public meeting still before posting it online. Which image-editing approach should they use?
• Emergency management must replace an outdated shelter name card in a generated preparedness video before release. Which approach should they use?
• A library needs consistent kids-program thumbnails and must set style and aspect ratio before generation. Which capability should they use?
• An open-data team wants AI-generated visuals that illustrate a dataset story without depicting identifiable people. Which generation use is most appropriate?
• A water utility needs to highlight a main-break area on a generated map graphic for public notice. Which editing approach should they apply?
• A 311 system receives resident pothole photos and must understand the visual scene before routing the ticket. Which multimodal capability should they use?
• Parks must add concise captions to many trail photos in an accessibility gallery. Which multimodal workflow should they configure?
• Transit staff need to ask which platform sign appears in a station photo and get an answer grounded in that image. Which capability should they enable?
• A library must publish exhibit images with alt-text and extended descriptions that support accessibility guidelines. Which multimodal output should they generate?
• Courts need to extract visual characteristics from exhibit scans using Foundry tooling. Which approach should they configure?
• Emergency ops wants to interpret timestamps and actions in training-drill video segments. Which multimodal workflow should they implement?
• Housing wants a focused pipeline that checks unit-condition photos against a simple checklist. Which Content Understanding approach fits best?
• A clerk must process complex multi-page scanned packets that mix text and varied visuals. Which Content Understanding mode should they set up?
• Public works wants work-order enrichment that names objects such as hydrants, curbs, and cones in field photos. Which multimodal capability should they use?
• City communications needs richer captions than one-line blurbs for a batch of ribbon-cutting event photos. Which captioning choice should they make?
• Transit must interpret bus-interior camera segments for left-item reports under an approved policy. Which multimodal workflow should they apply?
• An open-data portal publishes chart images inside PDF annexes and wants staff to ask questions answered from those charts. Which capability should they build?
• A city must stop unsafe or disallowed images from entering the 311 photo-upload path. Which responsible-AI control should they implement?
• A county multimodal clerk bot may receive images that hide malicious instructions in embedded text. Which risk should the team detect and mitigate?
• Parks must mark AI-generated promotional images before they go public. Which visual policy control should they apply?
• Transit generates rider graphics and must catch prohibited symbols or unapproved branding before publish. Which policy enforcement should they add?
• A library gallery publishes makerspace photos submitted by patrons and must screen them first. Which multimodal safety step should they take?
• Housing uses a multimodal agent that can act on unit photos, but high visual-policy risk scores must stop those actions. Which control should they enforce?