Exam AI-300 Topic 1 Question 171 Discussion
Actual exam question for Microsoft's AI-300 exam
Question #: 171
Topic #: 1
Question #: 171
Topic #: 1
Hotspot Question
You manage a Microsoft Foundry project.
You are developing a solution to generate content based on text and images. The solution requires the ability to manage high-volume processing and avoid disruptions to the online workloads.
You need to deploy the solution.
Which deployment type and large language model (LLM) should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
You manage a Microsoft Foundry project.
You are developing a solution to generate content based on text and images. The solution requires the ability to manage high-volume processing and avoid disruptions to the online workloads.
You need to deploy the solution.
Which deployment type and large language model (LLM) should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Suggested Answer:
Explanation:
Using Global provisioned deployment and a GPT-4o model is an excellent, industry-standard choice for this Microsoft AI Foundry project. This approach ensures you meet your high-volume processing and text-and-image generation requirements without degrading online workloads, offering both guaranteed latency and dedicated resources.
Box 1: GPT-4o
The GPT-4o Model is highly optimized for handling both text and image input. It provides the multi-modal reasoning necessary to generate contextually accurate content based on visual and textual datasets.
Box 2: Global provisioned
Provisioned Deployment Type: Provisioned throughput allows you to allocate dedicated compute capacity (tokens per minute). This guarantees performance and is explicitly designed to handle high-volume processing without disrupting your online workloads, as you will not be sharing constrained resources.
Global vs. Regional: Global provisioned deployments decouple capacity management from specific regions, providing the highest throughput limits and automatic access to resources with predictable costs. However, if your enterprise has strict European data residency regulations, choosing a Regional Provisioned deployment in a local region ensures your traffic and data are processed entirely within the EU.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/openai/concepts/provisioned-throughput
by Kama at Aug 21, 2026, 05:23 AM
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