Practice Free AI-102 Exam Online Questions
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You build a language model by using a Language Understanding service. The language model is used to search for information on a contact list by using an intent named FindContact.
A conversational expert provides you with the following list of phrases to use for training.
Find contacts in London. Who do I know in Seattle?
Search for contacts in Ukraine.
You need to implement the phrase list in Language Understanding.
Solution: You create a new intent for location.
Does this meet the goal?
- A . Yes
- B . No
A
Explanation:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-intent
HOTSPOT
You have 100,000 images.
You need to build an app that will perform the following actions:
• Identify road signs in the images and extract the text on the signs.
• Analyze the text to identify well-known locations.
The solution must minimize development effort.
What should you use for each action? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
HOTSPOT
You are building an app that will automatically translate speech from English to French, German, and Spanish by using Azure Al service.
You need to define the output languages and configure the Azure Al Speech service.
How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
You are building a Language Understanding model for an e-commerce platform. You need to construct an entity to capture billing addresses.
Which entity type should you use for the billing address?
- A . machine learned
- B . Regex
- C . geographyV2
- D . Pattern.any
- E . list
A
Explanation:
An ML entity can be composed of smaller sub-entities, each of which can have its own properties.
For example, Address could have the following structure:
Address: 4567 Main Street, NY, 98052, USA
Building Number: 4567
Street Name: Main Street
State: NY
Zip Code: 98052
Country: USA
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-entity-types
HOTSPOT
You are reviewing the design of a chatbot. The chatbot includes a language generation file that contains the following fragment.
# Greet(user)
– ${Greeting()}, ${user.name}
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
Explanation:
Box 1: No
Example: Greet a user whose name is stored in `user.name` – ${ welcomeUser(user.name) }
Example: Greet a user whose name you don’t know:
– ${ welcomeUser() }
Box 2: No
Greet(User) is a Send a response action.
Box 3: Yes
Reference: https://docs.microsoft.com/en-us/composer/how-to-ask-for-user-input
You have a Language service resource that performs the following:
• Sentiment analysis
• Named Entity Recognition (NER)
• Personally Identifiable Information (Pll) identification
You need to prevent the resource from persisting input data once the data is analyzed.
Which query parameter in the Language service API should you configure?
- A . loggingOptOut
- B . piiCategories
- C . showStats
- D . Model-version
HOTSPOT
You have an Azure subscription that contains an Azure Al Content Safety resource named CS1. You need to use the SDK to call CS1 to identify requests that contain harmful content.
How should you complete the code? lo answer, select the appropriate options m the answer area. NOTE: Each correct selection is worth one point
DRAG DROP
You have an app that manages feedback.
You need to ensure that the app can detect negative comments by using the Sentiment Analysis API in Azure Cognitive Service for Language. The solution must ensure that the managed feedback remains on your company’s internal network.
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. NOTE: More than one order of answer choices is correct You will receive credit for any of the correct orders you select.
Explanation:
Provision the Language service resource in Azure.
Deploy a Docker container to an on-premises server.
Run the container and query the prediction endpoint.
According to the Microsoft documentation, the Language service is a cloud-based service that provides various natural language processing features, such as sentiment analysis, key phrase extraction, named entity recognition, etc. You can provision the Language service resource in Azure by following the steps in Create a Language resource. You will need to provide a name, a subscription, a resource group, a region, and a pricing tier for your resource. You will also get a key and an endpoint for your resource, which you will use to authenticate your requests to the Language service API.
According to the Microsoft documentation, you can also use the Language service as a container on your own premises or in another cloud. This option gives you more control over your data and network, and allows you to use the Language service without an internet connection. You can deploy a Docker container to an on-premises server by following the steps in Deploy Language containers. You will need to have Docker installed on your server, pull the container image from the Microsoft Container Registry, and run the container with the appropriate parameters. You will also need to activate your container with your key and endpoint from your Azure resource.
According to the Microsoft documentation, once you have deployed and activated your container, you can run it and query the prediction endpoint to get sentiment analysis results. The prediction endpoint is a local URL that follows this format: http://<container IP address>:<port>/text/analytics/v3.1-preview.4/sentiment. You can send HTTP POST requests to this endpoint with your text input in JSON format, and receive JSON responses with sentiment labels and scores for each document and sentence in your input.
DRAG DROP
You train a Custom Vision model used in a mobile app.
You receive 1,000 new images that do not have any associated data.
You need to use the images to retrain the model. The solution must minimize how long it takes to retrain the model.
Which three actions should you perform in the Custom Vision portal? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Explanation:
HOTSPOT
You are building a chatbot.
You need to use the Content Moderator API to identify aggressive and sexually explicit language.
Which three settings should you configure? To answer, select the appropriate settings in the answer area. NOTE: Each correct selection is worth one point.
