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  4. Microsoft.AI-100.v2026-07-27.q119 Dumps
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Question 91

You are designing a solution that uses drones to monitor remote locations for anomalies. The drones have Azure loT Edge devices. The solution must meet the following requirements:
*Email a user the picture and location of an anomaly when an anomaly is detected.
*Use a video stream to detect anomalies at the location.
*Send the pictures and location information to Azure.
*Use the least amount of code possible.
You develop a custom vision Azure Machine Learning module to detect the anomalies.
Which service should you use for each requirement? To answer, drag the appropriate services to the correct requirements. Each service may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation

Box 1: Azure IOT Edge
Example:
You configure the Remote Monitoring solution to respond to anomalies detected by an IoT Edge device. IoT Edge devices let you process telemetry at the edge to reduce the volume of telemetry sent to the solution and to enable faster responses to events on devices.
Box 2: Azure Functions
Box 3: Azure Logic Apps
References:
https://docs.microsoft.com/en-us/azure/iot-accelerators/iot-accelerators-remote-monitoring-edge
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Question 92

Your company has recently purchased and deployed 25,000 IoT devices.
You need to recommend a data analysis solution for the devices that meets the following requirements:
* Each device must use its own credentials for identity.
* Each device must be able to route data to multiple endpoints.
* The solution must require the minimum amount of customized code.
What should you include in the recommendation?

Correct Answer: C
Explanation
An IoT hub has a default built-in endpoint. You can create custom endpoints to route messages to by linking other services in your subscription to the hub.
Individual devices connect using credentials stored in the IoT hub's identity registry.
References:
https://docs.microsoft.com/en-us/azure/iot-hub/iot-hub-devguide-security
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Question 93

You plan to create an intelligent bot to handle internal user chats to the help desk of your company. The bot has the following requirements:
* Must be able to interpret what a user means.
* Must be able to perform multiple tasks for a user.
* Must be able to answer questions from an existing knowledge base
You need to recommend which solutions meet the requirements.
Which solution should you recommend for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation

Box 1: The Language Understanding (LUIS) service
Language Understanding (LUIS) is a cloud-based API service that applies custom machine-learning intelligence to a user's conversational, natural language text to predict overall meaning, and pull out relevant, detailed information.
Box 2: Text Analytics API
The Text Analytics API is a cloud-based service that provides advanced natural language processing over raw text, and includes four main functions: sentiment analysis, key phrase extraction, named entity recognition, and language detection.
Box 3: The QnA Maker service
QnA Maker is a cloud-based Natural Language Processing (NLP) service that easily creates a natural conversational layer over your data. It can be used to find the most appropriate answer for any given natural language input, from your custom knowledge base (KB) of information.
Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-tutorial-dispatch
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/overview
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Question 94

You plan to design a solution for an Al implementation that uses data from loT devices.
You need to recommend a data storage solution for the loT devices that meets the following requirements:
*Allow data to be queried in real-time as it streams into the solution.
*Provide the lowest amount of latency for loading data into the solution.
What should you include in the recommendation?

Correct Answer: D
You can use HDInsight to process streaming data that's received in real time from a variety of devices.
Internet of Things (IoT)
You can use HDInsight to build applications that extract critical insights from data. You can also use Azure Machine Learning on top of that to predict future trends for your business.
By combining enterprise-scale R analytics software with the power of Apache Hadoop and Apache Spark, Microsoft R Server for HDInsight gives you the scale and performance you need. Multi-threaded math libraries and transparent parallelization in R Server handle up to 1000x more data and up to 50x faster speeds than open-source R, which helps you to train more accurate models for better predictions.
References:
https://docs.microsoft.com/en-us/azure/hdinsight/hadoop/apache-hadoop-introduction
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Question 95

Your company has an on-premises datacenter.
You plan to publish an app that will recognize a set of individuals by using the Face API. The model is trained.
You need to ensure that all images are processed in the on-premises datacenter.
What should you deploy to host the Face API?

Correct Answer: A
A container is a standard unit of software that packages up code and all its dependencies so the application runs quickly and reliably from one computing environment to another. A Docker container image is a lightweight, standalone, executable package of software that includes everything needed to run an application:
code, runtime, system tools, system libraries and settings.
Incorrect Answers:
D: Azure Data Box Edge is an AI-enabled edge computing device with network data transfer capabilities. This article provides you an overview of the Data Box Edge solution, benefits, key capabilities, and the scenarios where you can deploy this device.
Data Box Edge is a Hardware-as-a-service solution. Microsoft ships you a cloud-managed device with a built-in Field Programmable Gate Array (FPGA) that enables accelerated AI-inferencing and has all the capabilities of a storage gateway.
References:
https://www.docker.com/resources/what-container
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