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
Azure AI Search indexes and queries existing content; it neither generates synthetic records nor detects or redacts PII. It is the right choice for full-text search and vector retrieval over your own documents, not for producing privacy-safe training data.
- ✗
Azure AI Document Intelligence
Why it's wrong here
Azure AI Document Intelligence extracts text, tables and key-value pairs from uploaded forms and documents; it does not synthesise new records or strip PII from a dataset. It is correct when you need structured data pulled from scanned invoices, receipts or forms.
- ✓
Azure OpenAI Service
Why this is correct
Azure OpenAI Service can generate synthetic text or data through its language models, and its content filtering and data-handling controls help avoid reproducing PII. This satisfies the requirement to produce realistic training data without embedding personally identifiable information.
- ✗
Azure AI Language
Why it's wrong here
Azure AI Language provides prebuilt and custom NLP such as entity recognition, sentiment and PII detection, but it analyses existing text rather than generating synthetic records. It is the right choice when you must identify and redact PII within real text.
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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.