Microsoft Designing and Implementing a Azure AI Solution AI-102 Exam Questions in PDF

Free Microsoft AI-102 Dumps Questions (page: 8)

SIMULATION
You need to create a Form Recognizer resource named fr12345678.
Use the Form Recognizer sample labeling tool at https://fott-2-1.azurewebsites.net/ to analyze the invoice located in the C:\Resources\Invoices folder.
Save the results as C:\Resources\Invoices\Results.json.
To complete this task, sign in to the Azure portal and open the Form Recognizer sample labeling tool.

  1. See Explanation Below for complete answer

Answer(s): A

Explanation:

Step 1: Sign in to the Azure Portal.
Step 2: Navigate to the Form Recognizer Sample Tool (at https://fott-2-1.azurewebsites.net)
Step 3: On the sample tool home page select Use prebuilt model to get data.

Step 4: Select the Form Type you would like to analyze from the dropdown window.
Step 5: In the Source: URL field, paste the selected URL and select the Fetch button.
Step 6: In the Choose file for analysis use the file in the C:\Resources\Invoices folder and select the Fetch button.

Step 7: Select Run analysis. The Form Recognizer Sample Labeling tool will call the Analyze Prebuilt API and analyze the document.
Step 8: View the results - see the key-value pairs extracted, line items, highlighted text extracted and tables detected.

Step 9: Save the results as C:\Resources\Invoices\Results.json.


Reference:

https://docs.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/quickstarts/try-sample-label-tool



You have a factory that produces food products.
You need to build a monitoring solution for staff compliance with personal protective equipment (PPE) requirements. The solution must meet the following requirements:
* Identify staff who have removed masks or safety glasses.
* Perform a compliance check every 15 minutes.
* Minimize development effort.
* Minimize costs.
Which service should you use?

  1. Face
  2. Computer Vision
  3. Azure Video Analyzer for Media (formerly Video Indexer)

Answer(s): C

Explanation:

Face API is an AI service that analyzes faces in images.
Embed facial recognition into your apps for a seamless and highly secured user experience. No machine-learning expertise is required. Features include face detection that perceives facial features and attributes ג€" such as a face mask, glasses, or face location ג€" in an image, and identification of a person by a match to your private repository or via photo ID.


Reference:

https://azure.microsoft.com/en-us/services/cognitive-services/face/



You have an Azure Cognitive Search solution and a collection of blog posts that include a category field.
You need to index the posts. The solution must meet the following requirements:
* Include the category field in the search results.
* Ensure that users can search for words in the category field.
* Ensure that users can perform drill down filtering based on category.
Which index attributes should you configure for the category field?

  1. searchable, sortable, and retrievable
  2. searchable, facetable, and retrievable
  3. retrievable, filterable, and sortable
  4. retrievable, facetable, and key

Answer(s): B

Explanation:

Fields have data types and attributes. The check boxes across the top are index attributes controlling how the field is used.
* Retrievable means that it shows up in search results list. You can mark individual fields as off limits for search results by clearing this checkbox, for example for fields used only in filter expressions.
* Filterable, Sortable, and Facetable determine whether fields are used in a filter, sort, or faceted navigation structure.
* Searchable means that a field is included in full text search. Strings are searchable. Numeric fields and Boolean fields are often marked as not searchable.


Reference:

https://docs.microsoft.com/en-us/azure/search/search-get-started-portal



SIMULATION
Use the following login credentials as needed:
To enter your username, place your cursor in the Sign in box and click on the username below.
To enter your password, place your cursor in the Enter password box and click on the password below.
Azure Username: admin@abc.com
Azure Password: XXXXXXXXXXXX
The following information is for technical support purposes only:
Lab Instance: 12345678
Task
You plan to build an API that will identify whether an image includes a Microsoft Surface Pro or Surface Studio.
You need to deploy a service in Azure Cognitive Services for the API. The service must be named AAA12345678 and must be in the East US Azure region. The solution must use the Free pricing tier.
To complete this task, sign in to the Azure portal.

  1. See Explanation Below for complete answer

Answer(s): A

Explanation:

Step 1: In the Azure dashboard, click Create a resource.
Step 2: In the search bar, type "Cognitive Services."
You'll get information about the cognitive services resource and a legal notice. Click Create.
Step 3: You'll need to specify the following details about the cognitive service (refer to the image below for a completed example of this page):
Subscription: choose your paid or trial subscription, depending on how you created your Azure account.
Resource group: click create new to create a new resource group or choose an existing one.
Region: choose the Azure region for your cognitive service. Choose: East US Azure region.
Name: choose a name for your cognitive service. Enter: AAA12345678
Pricing Tier: Select: Free pricing tier

Step 4: Review and create the resource, and wait for deployment to complete. Then go to the deployed resource.
Note: The Computer Vision Image Analysis service can extract a wide variety of visual features from your images. For example, it can determine whether an image contains adult content, find specific brands or objects, or find human faces.
Tag visual features
Identify and tag visual features in an image, from a set of thousands of recognizable objects, living things, scenery, and actions. When the tags are ambiguous or not common knowledge, the API response provides hints to clarify the context of the tag. Tagging isn't limited to the main subject, such as a person in the foreground, but also includes the setting (indoor or outdoor), furniture, tools, plants, animals, accessories, gadgets, and so on.
Try out the image tagging features quickly and easily in your browser using Vision Studio.


Reference:

https://docs.microsoft.com/en-us/learn/modules/analyze-images-computer-vision/3-analyze-images https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-image-analysis



SIMULATION
Use the following login credentials as needed:
To enter your username, place your cursor in the Sign in box and click on the username below.
To enter your password, place your cursor in the Enter password box and click on the password below.
Azure Username: admin@abc.com
Azure Password: XXXXXXXXXXXX
The following information is for technical support purposes only:
Lab Instance: 12345678
Task
You need to build an API that uses the service in Azure Cognitive Services named AAA12345678 to identify whether an image includes a Microsoft Surface Pro or
Surface Studio.
To achieve this goal, you must use the sample images in the C:\Resources\Images folder.
To complete this task, sign in to the Azure portal.

  1. See Explanation Below for complete answer

Answer(s): A

Explanation:

Step 1: In the Azure dashboard, click Create a resource.
Step 2: In the search bar, type "Cognitive Services."
You'll get information about the cognitive services resource and a legal notice. Click Create.
Step 3: You'll need to specify the following details about the cognitive service (refer to the image below for a completed example of this page):
Subscription: choose your paid or trial subscription, depending on how you created your Azure account.
Resource group: click create new to create a new resource group or choose an existing one.
Region: choose the Azure region for your cognitive service. Choose: East US Azure region.
Name: choose a name for your cognitive service. Enter: AAA12345678
Pricing Tier: Select: Free pricing tier
Step 4: Review and create the resource, and wait for deployment to complete. Then go to the deployed resource.
Note: The Computer Vision Image Analysis service can extract a wide variety of visual features from your images. For example, it can determine whether an image contains adult content, find specific brands or objects, or find human faces.
Tag visual features
Identify and tag visual features in an image, from a set of thousands of recognizable objects, living things, scenery, and actions. When the tags are ambiguous or not common knowledge, the API response provides hints to clarify the context of the tag. Tagging isn't limited to the main subject, such as a person in the foreground, but also includes the setting (indoor or outdoor), furniture, tools, plants, animals, accessories, gadgets, and so on.
Try out the image tagging features quickly and easily in your browser using Vision Studio.


Reference:

https://docs.microsoft.com/en-us/learn/modules/analyze-images-computer-vision/3-analyze-images https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-image-analysis



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