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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 service provides a managed environment for training and deploying machine learning models at scale?

    Answer: Azure Machine Learning

    Azure Machine Learning is the fully managed platform for the end-to-end ML lifecycle including training, deployment, and monitoring.

  2. In Azure Cognitive Services, which API would you use to extract key phrases and sentiment from customer reviews?

    Answer: Text Analytics API

    Text Analytics API (now part of Azure AI Language) provides sentiment analysis, key phrase extraction, and named entity recognition for text.

  3. What is the purpose of an Azure Machine Learning compute cluster compared to a compute instance?

    Answer: Compute clusters scale to zero when idle and support parallel jobs; compute instances are single-node development VMs

    Compute clusters auto-scale nodes up and down for batch/parallel training jobs, while compute instances are always-on single-node VMs for development.

  4. Which deployment option in Azure AI Foundry allows you to host an open-source model like Llama 3 on dedicated infrastructure?

    Answer: Managed compute endpoint

    Managed compute endpoints provision dedicated GPU infrastructure to host open-source models, giving you full control over the runtime.

  5. When building a RAG (Retrieval-Augmented Generation) solution on Azure, which service is typically used to store and search document embeddings?

    Answer: Azure AI Search

    Azure AI Search (formerly Cognitive Search) provides vector search capabilities that enable semantic retrieval of document chunks for RAG pipelines.

  6. An Azure AI Engineer needs to prevent a language model from generating harmful content. Which Azure OpenAI feature addresses this directly?

    Answer: Content filters

    Azure OpenAI content filters use multi-category classifiers to detect and block harmful content in both prompts and completions.

  7. Which metric best measures the quality of an object detection model's ability to correctly locate and classify objects?

    Answer: Mean Average Precision (mAP)

    mAP accounts for both localization (bounding box overlap) and classification correctness across multiple IoU thresholds and object classes.