Microsoft Azure AI Fundamentals
Updated 17-Apr-2026
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?
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:
Answer(s): A
Box 1: Azure Bot ServiceYou can link a Language Service knowledge base to an Azure Bot Service.Box 2: SpeechLanguage 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
https://learn.microsoft.com/en-us/azure/cognitive-services/qnamaker/tutorials/create-faq-bot-with- azure-bot-servicehttps://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?
Answer(s): D
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.
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?
Fairness - AI systems should treat all people fairlyIncorrect:Accountability - People should be accountable for AI systems Reliability & Safety - AI systems should perform reliably and safely Transparency - AI systems should be understandable
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?
HOTSPOT (Drag and Drop is not supported)To complete the sentence, select the appropriate option in the answer area.Hot Area:
Box: object detectionObject 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.
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?
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.
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:
Box: an anomaly detection workloadAnomaly 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 capabilitiesWith 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 DetectionThe Univariate Anomaly Detector API enables you to monitor and detect abnormalities in your time series datawithout 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.
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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