AI-102 Implement generative AI solutions Practice Question
You need to generate realistic synthetic data for training a machine learning model while ensuring the data does not contain personally identifiable information (PII). Which Azure service should you use?
⚠ Common exam trap
Many exam-takers confuse Azure AI Language's text generation capabilities (e.g., summarization, question answering) with the full generative AI power of Azure OpenAI Service, but Azure AI Language does not offer the same level of flexible, high-fidelity synthetic data generation.
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 Service
Azure OpenAI Service provides access to powerful generative AI models (e.g., GPT-4) that can create realistic synthetic data by learning patterns from training data. Crucially, these models can be configured to avoid memorizing or reproducing PII, and you can apply content filters and data masking to ensure the generated output is free of personally identifiable information.
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 AI Search
Why it's wrong here
Search is for indexing and retrieval, not generation.
- ✗
Azure AI Document Intelligence
Why it's wrong here
Document Intelligence is for document processing, not synthetic data generation.
- ✓
Azure OpenAI Service
Why this is correct
GPT models can generate realistic synthetic data without PII when properly prompted.
- ✗
Azure AI Language
Why it's wrong here
Language service provides NLP capabilities, not generative data creation.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-102 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-102 exam.