AI-103 Implement Generative AI And Agentic Solutions Practice Question
You are optimizing an Azure OpenAI deployment in Azure AI Foundry for high-throughput batch processing. Which TWO strategies or configurations should you consider? (Choose TWO)
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Azure OpenAI Batch API for asynchronous high-volume jobs at reduced costs
Batch API usage and provisioned throughput units (PTUs) are designed for managing high-volume enterprise throughput and batch workloads.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Azure OpenAI Batch API for asynchronous high-volume jobs at reduced costs
Why this is correct
The Batch API processes large volumes of asynchronous requests with dedicated quota and cost benefits.
- ✗
Disabling SSL certificate validation in the client SDK
Why it's wrong here
Disabling SSL creates security vulnerabilities and does not improve throughput.
- ✓
Provisioned Throughput Units (PTUs) for guaranteed model capacity and predictable latency
Why this is correct
PTUs reserve dedicated model capacity, ensuring predictable performance and high throughput.
- ✗
Setting model max_tokens to 1
Why it's wrong here
Setting max_tokens to 1 restricts output generation, useless for batch processing workloads.
- ✗
Routing all traffic through public developer local workstations
Why it's wrong here
Local workstations do not scale for high-throughput enterprise batch processing.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Microsoft exam blueprint
This AI-103 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-103 exam.