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Azure AI Engineer Flashcards

7 cards from real AI practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

Read the first 7 Azure AI Engineer flashcards as text

  1. Which Azure OpenAI parameter controls how deterministic or random the model's output is during text generation?

    Answer: temperature

    Temperature scales the probability distribution over tokens; lower values make output more deterministic, higher values increase randomness.

  2. A company needs real-time speech transcription with speaker diarization in a call center application. Which Azure service should they use?

    Answer: Azure AI Speech with conversation transcription

    Azure AI Speech's conversation transcription feature provides real-time multi-speaker diarization that identifies and labels each speaker's segments.

  3. What is the key advantage of using Azure OpenAI's function calling feature in an agent application?

    Answer: It enables the model to output structured JSON to invoke defined functions reliably

    Function calling lets you define schemas for external functions and the model returns structured JSON arguments, enabling reliable tool use in agents.

  4. In Azure AI Search, what does the 'semantic ranker' do differently from standard BM25 ranking?

    Answer: It re-ranks BM25 results using language model-based semantic understanding

    Semantic ranker applies a cross-encoder model to re-score top BM25 candidates based on deeper semantic relevance to the query.

  5. Which Azure Machine Learning feature automatically explores multiple algorithms and hyperparameters to find the best model for a given dataset?

    Answer: Automated ML (AutoML)

    AutoML iterates through algorithm and hyperparameter combinations, evaluating each against a specified primary metric to surface the best candidate model.

  6. When deploying a model to an Azure Machine Learning online endpoint, what does a 'blue-green deployment' strategy accomplish?

    Answer: It routes a configurable percentage of traffic to a new model version while keeping the old version live

    Blue-green (or canary) deployments on Azure ML online endpoints split live traffic between model versions, enabling safe gradual rollouts.

  7. Which Azure service should an AI engineer use to orchestrate a multi-step workflow that calls Azure AI services, stores results, and sends notifications—without writing server code?

    Answer: Azure Logic Apps

    Azure Logic Apps provides a low-code workflow engine with connectors to hundreds of services including Azure AI, storage, and communication platforms.