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Microsoft AI-900 Exam (page: 3)
Microsoft Azure AI Fundamentals
Updated on: 25-Aug-2025

Viewing Page 3 of 36
AI-900 PDF 273 Questions

You have a natural language processing (NLP) model that was created by using data obtained without permission.
Which Microsoft principle for responsible AI does this breach?

  1. reliability and safety
  2. privacy and security
  3. inclusiveness
  4. transparency

Answer(s): B



DRAG DROP (Drag and Drop is not supported)
Match the services to the appropriate descriptions.
To answer, drag the appropriate service from the column on the left to its description on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Select and Place:

  1. See Explanation section for answer.

Answer(s): A

Explanation:




Box 1: Azure Bot Service
You can link a Language Service knowledge base to an Azure Bot Service.
Box 2: Speech
Language and voice support for the Speech service.
Speech service provides speech-to-text, text-to-speech, pronunciation assessment, speech translation, speaker recognition, and additional service features.
Incorrect:
* Language Service


Reference:

https://learn.microsoft.com/en-us/azure/cognitive-services/qnamaker/tutorials/create-faq-bot-with- azure-bot-service
https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/language-support https://learn.microsoft.com/en-us/azure/architecture/solution-ideas/articles/loan-chargeoff-prediction-with-sql- server



Which machine learning technique can be used for anomaly detection?

  1. A machine learning technique that classifies objects based on user supplied images.
  2. A machine learning technique that understands written and spoken language.
  3. A machine learning technique that classifies images based on their contents.
  4. A machine learning technique that analyzes data over time and identifies unusual changes.

Answer(s): D

Explanation:

Anomaly Detector, an AI service that helps you foresee problems before they occur.
Easily embed time-series anomaly detection capabilities into your apps to help users identify problems quickly. Anomaly Detector ingests time-series data of all types and selects the best anomaly detection algorithm for your data to ensure high accuracy. Detect spikes, dips, deviations from cyclic patterns, and trend changes through both univariate and multivariate APIs. Customize the service to detect any level of anomaly. Deploy the anomaly detection service where you need it — in the cloud or at the intelligent edge.


Reference:

https://azure.microsoft.com/en-us/products/cognitive-services/anomaly-detector



You have an AI-based loan approval system.
During testing, you discover that the system has a gender bias. Which responsible AI principle does this violate?

  1. accountability
  2. reliability and safety
  3. transparency
  4. fairness

Answer(s): D

Explanation:

Fairness - AI systems should treat all people fairly
Incorrect:
Accountability - People should be accountable for AI systems Reliability & Safety - AI systems should perform reliably and safely Transparency - AI systems should be understandable


Reference:

https://dataninja.medium.com/6-principles-of-responsible-ai-b90f745b73dc



You are developing a system to predict the prices of insurance for drivers in the United Kingdom. You need to minimize unintended bias in the system.
What should you do?

  1. Remove information about protected characteristics from the data before sampling.
  2. Take a training sample that is representative of the population in the United Kingdom.
  3. Create a training dataset that uses data from global insurers.
  4. Take a completely random training sample.

Answer(s): B



HOTSPOT (Drag and Drop is not supported)
To complete the sentence, select the appropriate option in the answer area.
Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:




Box: object detection
Object detection is similar to tagging, but the API returns the bounding box coordinates (in pixels) for each object found in the image. For example, if an image contains a dog, cat and person, the Detect operation will list those objects with their coordinates in the image. You can use this functionality to process the relationships between the objects in an image. It also lets you determine whether there are multiple instances of the same object in an image.


Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection



Your company is exploring the use of voice recognition technologies in its smart home devices. The company wants to identify any barriers that might unintentionally leave out specific user groups.
This is an example of which Microsoft guiding principle for responsible AI?

  1. accountability
  2. fairness
  3. privacy and security
  4. inclusiveness

Answer(s): D

Explanation:

Inclusive design practices can help system developers understand and address potential barriers in a product environment that could unintentionally exclude people. By addressing these barriers, we create opportunities to innovate and design better experiences that benefit everyone.


Reference:

https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles



HOTSPOT (Drag and Drop is not supported)
Select the answer that correctly completes the sentence.
Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:




Box: an anomaly detection workload
Anomaly Detector is an AI service with a set of APIs, which enables you to monitor and detect anomalies in your time series data with little machine learning (ML) knowledge, either batch validation or real-time inference.
Anomaly Detector capabilities
With Anomaly Detector, you can either detect anomalies in one variable using Univariate Anomaly Detector, or detect anomalies in multiple variables with Multivariate Anomaly Detector.
Univariate Anomaly Detection
The Univariate Anomaly Detector API enables you to monitor and detect abnormalities in your time series data
without having to know machine learning. The algorithms adapt by automatically identifying and applying the best-fitting models to your data, regardless of industry, scenario, or data volume. Using your time series data, the API determines boundaries for anomaly detection, expected values, and which data points are anomalies.


Reference:

https://learn.microsoft.com/en-us/azure/ai-services/anomaly-detector/overview



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OLERATO 7/1/2025 5:44:14 AM

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