Microsoft AI-102 Übungsprüfungen
Zuletzt aktualisiert am 27.04.2025- Prüfungscode: AI-102
- Prüfungsname: Designing and Implementing a Microsoft Azure AI Solution
- Zertifizierungsanbieter: Microsoft
- Zuletzt aktualisiert am: 27.04.2025
You train a Conversational Language Understanding model to understand the natural language input of users.
You need to evaluate the accuracy of the model before deploying it.
What are two methods you can use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
- A . From the language authoring REST endpoint, retrieve the model evaluation summary.
- B . From Language Studio, enable Active Learning, and then validate the utterances logged for review.
- C . From Language Studio, select Model performance.
- D . From the Azure portal, enable log collection in Log Analytics, and then analyze the logs.
DRAG DROP
You train a Custom Vision model to identify a company’s products by using the Retail domain.
You plan to deploy the model as part of an app for Android phones.
You need to prepare the model for deployment.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
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?
- A . Fluentd
- B . Billing
- C . Http Proxy
- D . Mounts
You have the following C# method for creating Azure Cognitive Services resources programmatically.
You need to call the method to create a free Azure resource in the West US Azure region. The resource will be used to generate captions of images automatically.
Which code should you use?
- A . create_resource(client, "res1", "ComputerVision", "F0", "westus")
- B . create_resource(client, "res1", "CustomVision.Prediction", "F0", "westus")
- C . create_resource(client, "res1", "ComputerVision", "S0", "westus")
- D . create_resource(client, "res1", "CustomVision.Prediction", "S0", "westus")
You are developing the knowledgebase by using Azure Cognitive Search.
You need to process wiki content to meet the technical requirements.
What should you include in the solution?
- A . an indexer for Azure Blob storage attached to a skillset that contains the language detection skill
and the text translation skill - B . an indexer for Azure Blob storage attached to a skillset that contains the language detection skill
- C . an indexer for Azure Cosmos DB attached to a skillset that contains the document extraction skill and the text translation skill
- D . an indexer for Azure Cosmos DB attached to a skillset that contains the language detection skill and the text translation skill
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?
- A . Upload File1 avi to an Azure storage queue.
- B . upload File1.avi to the www.youtube.com seepage
- C . Upload file1 avi to the Azure video indexer website.
- D . Upload file1 avi to Microsoft OneDrive.
HOTSPOT
You are building a chatbot that will provide information to users as shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic. NOTE: Each correct selection is worth one point.
You are building a Language Understanding model for an e-commerce chatbot. Users can speak or type their billing address when prompted by the chatbot.
You need to construct an entity to capture billing addresses.
Which entity type should you use?
- A . machine learned
- B . Regex
- C . list
- D . Pattern.any
You need to create a visualization of running sales totals per quarter as shown in the following exhibit.
What should you create in Cower Bl Desktop;1
- A . a waterfall chart
- B . a ribbon chart
- C . a bar chart
- D . a decomposition tree