ACP-220 case studies
ACP-220 · Put your knowledge to work in context.
ACP-220 is an Alibaba Cloud certification exam focused on the company's AI cloud platform and generative AI stack. The source material available for this profile is Alibaba Cloud's public homepage, which describes a platform of "80+ Cloud Products" with "Free Tokens · 400+ Models" and "1:1 Technical Support," positioned for "AI Builders shaping the future and Enterprises scaling AI securely." The exam blueprint splits evenly across four domains at 25% each: AI Model and Product Knowledge; Model Studio and Generative AI Application Development; Platform for AI (PAI) and Model Lifecycle; and AI Coding, Multimodal and Speech Services. The ACP-220 case studies are 5 cases and about 2,483 words.
1Latency Budget Squeeze on a Multimodal Support Assistant
You run a customer-support assistant that accepts a photo plus a short text question. Traffic is 12 requests per second at peak.
565 words, about 3 min2Fine-Tune or RAG for a Policy Q&A Bot That Keeps Going Stale
A compliance team wants a bot that answers employee questions about internal policy. There are 4,200 policy documents, updated weekly; roughly 3% of documents change each week and new ones appear monthly.
499 words, about 2 min3Agent Workflow Hits Tool-Call Loops Under Load
You built a generative-AI application where an agent answers operations questions by calling three tools: a metrics query API, a runbook search, and a ticket-creation API. In staging it works.
488 words, about 2 min4PAI Pipeline: Throughput vs. Cost for Weekly Retraining
On PAI you retrain a recommendation model weekly. Training data is 2 TB, the job uses 8 GPU workers with data parallelism, and each run takes 14 hours.
471 words, about 2 min5AI Coding Assistant Rollout: Adoption vs. Trust
You are rolling out an AI coding assistant to 300 engineers. Pilot with 40 engineers for 6 weeks: acceptance rate of suggestions is 22%, but 31% of accepted multi-line completions are later edited substantially within the same PR, and 9% of AI-assisted PRs trigger a review comment about a security issue (vs 3% baseline).
460 words, about 2 min