Microsoft Azure AI Fundamentals: Explore decision support Microsoft Quiz Answers

Get Microsoft Azure AI Fundamentals: Explore decision support Microsoft Quiz Answers

Learn how to automate decision support processes using Azure.

This learning path helps prepare you for Exam AI-900: Microsoft Azure AI Fundamentals.

Prerequisites:

  • Ability to navigate the Azure portal
  • Foundational knowledge of Azure services
  • Foundational knowledge of REST

Enroll on Microsoft

Module 1: Introduction to Anomaly Detector

Discover the services available on Azure to detect anomalies in your time-series, or real-time data.

Learning objectives:

After completing this module, you will be able to:

  • Describe the Anomaly Detector service
  • Briefly describe how Anomaly Detector works
  • Describe when to use Anomaly Detector

Prerequisites:

  • Basic familiarity with Azure
  • Ability to navigate the Azure portal
  • Basic familiarity with Azure Cognitive Services

Quiz 1: Knowledge check

Q1. What is meant by seasonal data?

  • Data based on the time or year it was recorded.
  • How far apart the values are by default for each recorded period.
  • Data occurring at regular intervals.

Q2. What is the purpose of specifying granularity in your JSON data object?

  • It is used to indicate the recording pattern of the data.
  • It tells the service how to chunk up the results that are returned for review, independent of the time series data pattern.
  • It is used to indicate the range of acceptable values.

Q3. How does the Anomaly Detector service evaluate real-time data for anomalies?

  • It collects all the values in a window of time and evaluates them all at once.
  • It evaluates the current value against the previous value.
  • It uses interpolation based on the current value and the previous value to predict what the expected value should be.
Conclusion:

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