Microsoft Azure AI Engineer Associate AI-102 Practice Question

You are designing an Azure AI Content Understanding pipeline that will ingest PDF contracts, create a short extractive summary, assign each contract to one of several predefined categories, and flag any sentences that mention monetary amounts. The solution must meet the following requirements:

  • Use built-in capabilities only (no custom large-language-model prompts).
  • Minimize the number of network calls made to Azure AI Language.
  • Return the summary sentences, the predicted category, and the redacted locations for monetary amounts in a single response object.

Which Azure AI Language REST operation should you call after converting the PDF to plain text?

  • Call the Extractive Summarization endpoint ( /language/analyze-text/summarize ) followed by separate classification and PII calls.

  • Invoke the Text Analytics for Health endpoint with the showStats=true query parameter.

  • Use the Analyze Conversations endpoint ( /language/analyze-conversations ) with orchestration mode.

  • Submit an Analyze job that combines Extractive Summarization, single-category classification, and PII detection actions ( /language/analyze-text/jobs ).

Microsoft Azure AI Engineer Associate AI-102
Implement knowledge mining and information extraction solutions
Your Score:
Settings & Objectives
Random Mixed
Questions are selected randomly from all chosen topics, with a preference for those you haven’t seen before. You may see several questions from the same objective or domain in a row.
Rotate by Objective
Questions cycle through each objective or domain in turn, helping you avoid long streaks of questions from the same area. You may see some repeat questions, but the distribution will be more balanced across topics.

Check or uncheck an objective to set which questions you will receive.

Bash, the Crucial Exams Chat Bot
AI Bot