Scaling and Performance Quiz

5 questions • Pass: 70% • +25 pts

Quiz covering Azure AI Deployment

Scaling and Performance Quiz

5 questions | Pass: 70% | Earn 25 points

Questions in this quiz

A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.

  1. 1

    Which Azure AI service feature allows you to automatically adjust the number of instances based on real-time traffic demand?

  2. 2

    When deploying a high-traffic machine learning model in Azure, which metric is most critical to monitor to determine if you need to scale out your inference cluster?

  3. 3

    You are deploying a model to Azure Kubernetes Service (AKS). What is the primary advantage of using a Load Balancer in front of your inference pods?

  4. 4

    If your inference service experiences 'Cold Starts' when scaling out, which strategy would best mitigate this performance impact?

  5. 5

    You are optimizing a production model on Azure Machine Learning. You need to maximize throughput for a high-volume request scenario while keeping latency within strict bounds. Which configuration is most appropriate?