AI-102 practice questions 91–100

1. Question 91 · 328 in bank

   You have the following Python function for creating Azure Cognitive Services resources programmatically. def create_resource (resource_name, kind, account_tier, location) : parameters = CognitiveServicesAccount(sku=Sku(name=account_tier), kind=kind, location=location, properties={}) result = client.accounts.create(resource_group_name, resource_name, parameters) You need to call the function 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?

   • Acreate_resource("res1", "ComputerVision", "F0", "westus")
   • Bcreate_resource("res1", "CustomVision.Prediction", "F0", "westus")
   • Ccreate_resource("res1", "ComputerVision", "S0", "westus")
   • Dcreate_resource("res1", "CustomVision.Prediction", "S0", "westus")

   Show answer

   Answer: A

   Explanation

   Computer vision provide automatic vision solutions including captions. The key-phrase is "automatic". Therefore this answer should be obvious to everyone. I would expect more professionalism from people who request money for services like this one. Many questions here have incorrect and even contradictory answers... Shame!

   Source: Adapted from community discussion — ArchMelody

   References

   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn

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2. Question 92 · 328 in bank

   Select 2

   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.

   • ARemove the operation_id parameter.
   • BAdd code to verify the read_results.status value.
   • CAdd code to verify the status of the read_operation_location value.
   • DWrap the call to get_read_result within a loop that contains a delay.

   Show answer

   Answer: BD

   Explanation

   B. Add code to verify the read_results.status value. D. Wrap the call to get_read_result within a loop that contains a delay. Explanation: In order to prevent the GetReadResultAsync method from proceeding until the read operation is complete, we need to check the status of the read operation and wait until it's completed. To do this, we can add code to verify the status of the read_results.status value. If the status is not "succeeded", we can add a delay and then retry the operation until it's complete. This can be achieved by wrapping the call to get_read_result within a loop that contains a delay. Removing the operation_id parameter or adding code to verify the status of the read_operation_location value will not solve the issue of waiting for the read operation to complete before proceeding with the GetReadResultAsync method.

   Source: Adapted from community discussion — RAN_L

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3. Question 93 · 328 in bank

   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:

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   1. https://westus.api.cognitive.microsoft.com/vision/v3.2/analyze/?visualFeatures=Adult,Description 2. https://westus.api.cognitive.microsoft.com/vision/v3.2/analyze/?visualFeatures=Adult,Description https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-describing-images Computer Vision can analyze an image and generate a human-readable phrase that describes its contents. The algorithm returns several descriptions based on different visual features, and each description is given a confidence score. The final output is a list of descriptions ordered from highest to lowest confidence.

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn
   • Microsoft Learn
   • Microsoft Learn

   

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4. Question 94 · 328 in bank

   Select 2

   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.

   • ARemove the Guid.Parse(operationId) parameter.
   • BAdd code to verify the results.Status value.
   • CAdd code to verify the status of the txtHeaders.Status value.
   • DWrap the call to GetReadResultAsync within a loop that contains a delay.

   Show answer

   Answer: BD

   References

   • Microsoft Learn

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5. Question 95 · 328 in bank

   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?

   • ABuild an on-premises web app to query the Computer Vision endpoint.
   • BHost the Computer Vision endpoint in a container on an on-premises server.
   • CHost an exported Open Neural Network Exchange (ONNX) model on an on-premises server.
   • DBuild an Azure web app to query the Computer Vision endpoint.

   Show answer

   Answer: B

   Explanation

   B is the answer. https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/deploy-computer-vision-on-premises One option to manage your Computer Vision containers on-premises is to use Kubernetes and Helm. Using Kubernetes and Helm to define a Computer Vision container image, we'll create a Kubernetes package. This package will be deployed to a Kubernetes cluster on-premises.

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn
   • Microsoft Learn

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6. Question 96 · 328 in bank

   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?

   • Aimage analysis
   • Boptical character recognition (OCR)
   • Ckey phrase extraction
   • Ddocument extraction

   Show answer

   Answer: B

   Explanation

   To ensure that queries can be performed on the contents of the letters, the skill that should be included in the indexer is optical character recognition (OCR). Option B, optical character recognition (OCR), is a technology that can recognize text within an image and convert it into machine-readable text. This skill will enable the search engine to read the handwritten letters and convert them into searchable text that can be indexed by Azure Cognitive Search. Option A, image analysis, is a useful skill for analyzing images to extract metadata, but it does not directly enable text recognition. Option C, key phrase extraction, extracts important phrases and concepts from text, but it requires the text to be already recognized and extracted by OCR or other text extraction techniques. Option D, document extraction, is a skill that extracts specific pieces of information from documents, but it does not address the challenge of recognizing and extracting text from handwritten letters.

   Source: Adapted from community discussion — RAN_L

   References

   • Microsoft Learn

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7. Question 97 · 328 in bank

   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.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   I think that the answers are wrong. They should be: 1 - Computer Vision analyze image 2 - imageType According to https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-detecting-image-types Computer Vision can analyze the content type of images, indicating whether an image is clip art or a line drawing

   Source: Adapted from community discussion — jimbojambo

   References

   • Microsoft Learn
   • Microsoft Learn

   

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8. Question 98 · 328 in bank

   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?

   • ACall the face detection API and retrieve the face rectangle by using the FaceRectangle attribute.
   • BCall the face detection API repeatedly and check for changes to the FaceAttributes.HeadPose attribute.
   • CCall the face detection API and use the FaceLandmarks attribute to calculate the distance between pupils.
   • DCall the face detection API repeatedly and check for changes to the FaceAttributes.Accessories attribute.

   Show answer

   Answer: B

   Explanation

   B is the answer. https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/how-to/use-headpose#detect-head-gestures You can detect head gestures like nodding and head shaking by tracking HeadPose changes in real time. You can use this feature as a custom liveness detector. Liveness detection is the task of determining that a subject is a real person and not an image or video representation. A head gesture detector could serve as one way to help verify liveness, especially as opposed to an image representation of a person.

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn

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9. Question 99 · 328 in bank

   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.

   

   This is an interactive task on the real exam — a drag-and-drop, hotspot or ordering question. There is nothing to select here, so the answer is shown below for reference.

   Show the answer figure

   Answer: See figure below

   Explanation

   1. detects 2. 797, 201 https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-face-detection#face-rectangle Each detected face corresponds to a faceRectangle field in the response. This is a set of pixel coordinates for the left, top, width, and height of the detected face. Using these coordinates, you can get the location and size of the face. In the API response, faces are listed in size order from largest to smallest. https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-face-detection#attributes - QualityForRecognition The overall image quality regarding whether the image being used in the detection is of sufficient quality to attempt face recognition on. The value is an informal rating of low, medium, or high. Only "high" quality images are recommended for person enrollment, and quality at or above "medium" is recommended for identification scenarios.

   Source: Adapted from community discussion — zellck

   References

   • Microsoft Learn

   

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10. Question 100 · 328 in bank

    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?

    • AFrom the Azure portal, configure parallel indexing.
    • BFrom the Azure portal, configure scheduled indexing.
    • CConfigure field mappings by using the REST API.
    • DCreate a text-based indexer by using the REST API.

    Show answer

    Answer: A

    Explanation

    A is the answer. https://learn.microsoft.com/en-us/azure/search/search-howto-large-index#run-indexers-in-parallel If you partition your data, you can create multiple indexer-data-source combinations that pull from each data source and write to the same search index. Because each indexer is distinct, you can run them at the same time, populating a search index more quickly than if you ran them sequentially.

    Source: Adapted from community discussion — zellck

    References

    • Microsoft Learn

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AI-102 practice, question 91. 328 questions available.