AI-102 Named Practice Questions
The free AI-102: Designing and Implementing a Microsoft Azure AI Solution questions that deal with named, with answers and explanations. The full bank and the timed practice test cover every topic the exam asks about.
Question #6
You have an Azure subscription that contains an Anomaly Detector resource. You deploy a Docker host server named Server 1 to the on-premises network. You need to host an instance of the Anomaly Detector service on Server 1. Which parameter should you include in the docker run command?
Correct answer: B
Explanation
The Billing parameter must be included in the docker run command so the container can report usage to your Anomaly Detector resource. Mounts and proxy settings are optional configuration.
Question #7
You have an Azure subscription that contains a Language service resource named ta1 and a virtual network named vnet1. You need to ensure that only resources in vnet1 can access ta1. What should you configure?
Correct answer: C
Explanation
Configuring the virtual network settings of the Language resource restricts access to selected networks such as vnet1. An NSG or Azure Firewall filters traffic but does not lock down the resource endpoint.
Question #8
You have a Language Understanding resource named lu1. You build and deploy an Azure bot named bot1 that uses lu1. You need to ensure that bot1 adheres to the Microsoft responsible AI principle of inclusiveness. How should you extend bot1?
Correct answer: D
Explanation
Inclusiveness: AI systems should empower everyone and engage people. Direct Line Speech is a robust, end-to-end solution for creating a flexible, extensible voice assistant. It is powered by the Bot Framework and its Direct Line Speech channel, that is optimized for voice-in, voice-out interaction with bots. Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/direct-line- speech
Question #10
You have a 20-GB file named file1, avi that is stored on a local drive. You need to index file1, avi by using the Azure Video indexer website. What should you do first?
Correct answer: C
Explanation
This is because the Azure Video Indexer website allows you to upload videos from a URL or from your file system, but there are some limitations and considerations for each option1. If you upload from your file system, the size of the file is limited to 2 GB, which is less than the size of file1.avi (20 GB). Therefore, this option is not feasible. If you upload from a URL, the size of the file is limited to 30 GB, which is enough for file1.avi. However, the URL must be publicly accessible and valid, and the file must be accessible. You cannot use URLs from streaming services such as YouTube1. Therefore, options A and B are not valid. The best option is to upload file1.avi to a cloud storage service such as Microsoft OneDrive, and then generate a shareable link for the file. You can then paste the link in the Azure Video Indexer website and upload the video from the URL. This way, you can avoid the file size limitation and ensure that the file is accessible and valid2.
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