You are developing a method that uses the Computer Vision client library. The method will perform optical character recognition (OCR) in images. The method has the following code. During testing, you discover that the call to the GetReadResultAsync method occurs before the read operation is complete. You need to prevent the GetReadResultAsync method from proceeding until the read operation is complete. Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A. Remove the operation_id parameter.
B. Add code to verify the read_results.status value.
C. Add code to verify the status of the read_operation_location value.
D. Wrap the call to get_read_result within a loop that contains a delay.
Question 82
HOTSPOT - You are building an app that will enable users to upload images. The solution must meet the following requirements: * Automatically suggest alt text for the images. * Detect inappropriate images and block them. * Minimize development effort. You need to recommend a computer vision endpoint for each requirement. What should you recommend? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Hot Area:
Box 1: https://westus.api.cognitive.microsoft.com/customvision/v3.1/prediction/projectid/classify/iterations/publishName/image Box 2: https://westus.api.cognitive.microsoft.com/vision/v3.2/analyze/?visualFeatures=Adult,Description Computer Vision can detect adult material in images so that developers can restrict the display of these images in their software. Content flags are applied with a score between zero and one so developers can interpret the results according to their own preferences. You can detect adult content with the Analyze Image API. When you add the value of Adult to the visualFeatures query parameter Incorrect: Use the Image Moderation API in Azure Content Moderator to scan image content. The moderation job scans your content for profanity, and compares it against custom and shared blocklists. Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-detecting-adult-content https://docs.microsoft.com/en-us/azure/cognitive-services/content-moderator/try-image-api https://docs.microsoft.com/en-us/legal/cognitive-services/custom-vision/custom-vision-cvs-transparency-note
Question 83
You need to build a solution that will use optical character recognition (OCR) to scan sensitive documents by using the Computer Vision API. The solution must NOT be deployed to the public cloud. What should you do?
A. Build an on-premises web app to query the Computer Vision endpoint.
B. Host the Computer Vision endpoint in a container on an on-premises server.
C. Host an exported Open Neural Network Exchange (ONNX) model on an on-premises server.
D. Build an Azure web app to query the Computer Vision endpoint.
One option to manage your Computer Vision containers on-premises is to use Kubernetes and Helm. Three primary parameters for all Cognitive Services containers are required. The Microsoft Software License Terms must be present with a value of accept. An Endpoint URI and API key are also needed. Incorrect: Not D: This Computer Vision endpoint would be available for the public, unless it is secured. Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/deploy-computer-vision-on-premises
Question 84
You have an Azure Cognitive Search solution and a collection of handwritten letters stored as JPEG files. You plan to index the collection. The solution must ensure that queries can be performed on the contents of the letters. You need to create an indexer that has a skillset. Which skill should you include?
A. image analysis
B. optical character recognition (OCR)
C. key phrase extraction
D. document extraction
Question 85
HOTSPOT - You have a library that contains thousands of images. You need to tag the images as photographs, drawings, or clipart. Which service endpoint and response property should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Question 86
You have an app that captures live video of exam candidates. You need to use the Face service to validate that the subjects of the videos are real people. What should you do?
A. Call the face detection API and retrieve the face rectangle by using the FaceRectangle attribute.
B. Call the face detection API repeatedly and check for changes to the FaceAttributes.HeadPose attribute.
C. Call the face detection API and use the FaceLandmarks attribute to calculate the distance between pupils.
D. Call the face detection API repeatedly and check for changes to the FaceAttributes.Accessories attribute.
Question 87
HOTSPOT - You make an API request and receive the results shown in the following exhibits. 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.
Question 88
You have an Azure subscription that contains an AI enrichment pipeline in Azure Cognitive Search and an Azure Storage account that has 10 GB of scanned documents and images. You need to index the documents and images in the storage account. The solution must minimize how long it takes to build the index. What should you do?
A. From the Azure portal, configure parallel indexing.
B. From the Azure portal, configure scheduled indexing.
C. Configure field mappings by using the REST API.
D. Create a text-based indexer by using the REST API.
Question 89
DRAG DROP - You need to analyze video content to identify any mentions of specific company names. 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.
Question 90
You have a mobile app that manages printed forms. You need the app to send images of the forms directly to Forms Recognizer to extract relevant information. For compliance reasons, the image files must not be stored in the cloud. In which format should you send the images to the Form Recognizer API endpoint?
