AI for QA / Quiz
Place the Model Workload
Compare model placement with measured constraints instead of reducing the choice to one slogan.
- Difficulty
- Medium
- Format
- Quiz
- Points
- 150
- Estimate
- 8 min
// MISSION BRIEF
Your Mission
A QA team is selecting where three model workloads should run. Use the hardware, data classification, service controls, latency, and evaluation results in the brief. Choose an arrangement that fits each workload and state what must still be measured after deployment.
// FIRST CONTACT
Battle teaser
The approved local runner has no outbound network path and stores no prompts. Its small model scores 94% on the team's log-classification benchmark. The hosted chatbot is not approved for restricted data. Which workload best fits the local runner?
- AClassify restricted incidents in the approved local runner, with sampled review
- BPublishing raw incident text as a benchmark dataset
- CUpload raw restricted incidents to the unapproved chatbot, provided the chat is deleted later and the larger model is expected to compensate for the policy breach
- DA public documentation summary that needs the hosted model's larger context and contains no restricted data
Answers, scoring, hints, and the full battle stay sealed.
// SKILL TAGS
ai-toolslocal-llmprivacyai-for-qa