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Microsoft AI-102 Certification Exam is designed to test your skills and knowledge in designing and implementing Microsoft Azure AI solutions. It is an important certification for professionals who want to demonstrate their expertise in developing and implementing AI solutions in the Azure environment.
To pass the AI-102 exam, candidates must demonstrate their skills in developing and deploying solutions that use Azure Cognitive Services, Azure Machine Learning, and other Azure AI tools. They must also be able to design and implement AI workflows, train and deploy machine learning models, and integrate AI solutions with other Azure services.
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Microsoft AI-102 Exam is designed to test the candidate's ability to design and implement AI solutions using Azure technologies. AI-102 exam covers a range of concepts, such as data pre-processing, model training and evaluation, deployment, and monitoring. Additionally, the exam assesses the candidate's ability to work with different Azure services and tools, including Azure Machine Learning, Cognitive Services, and Bot Services. Furthermore, the exam evaluates the candidate's ability to design and implement secure and scalable AI solutions that meet business requirements.
NEW QUESTION # 179
Hotspot Question
You have an Azure subscription that has the following configurations:
- Subscription ID: 8d3591aa-96b8-4737-ad09-00f9b1ed35ad
- Tenant ID: 3edfe572-cb54-3ced-ae12-c5c177f39a12
You plan to create a resource that will perform sentiment analysis and optical character recognition (OCR).
You need to use an HTTP request to create the resource in the subscription. The solution must use a single key and endpoint.
How should you complete the request? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
https://learn.microsoft.com/en-us/azure/cognitive-services/cognitive-services-apis-create- account?tabs=multiservice%2Canomaly-detector%2Clanguage-service%2Ccomputer- vision%2Cwindows#types-of-cognitive-services-resources You can access Azure AI Services through two different resources: A multi-service resource, or a single-service one.
- Multi-service resource:
Access multiple Azure AI Services with a single key and endpoint.
Consolidates billing from the services you use.
NEW QUESTION # 180
You are developing a new sales system that will process the video and text from a public-facing website.
You plan to notify users that their data has been processed by the sales system.
Which responsible AI principle does this help meet?
Answer: D
Explanation:
"When an AI application relies on personal data, such as a facial recognition system that takes images of people to recognize them; you should make it clear to the user how their data is used and retained, and who has access to it." from: https://docs.microsoft.com/en-us/learn/paths/prepare-for-ai-engineering/
NEW QUESTION # 181
You are developing a photo application that will find photos of a person based on a sample image by using the Face API.
You need to create a POST request to find the photos.
How should you complete the request? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/rest/api/faceapi/face/detectwithurl
https://docs.microsoft.com/en-us/rest/api/faceapi/face/findsimilar
NEW QUESTION # 182
You have an app named App1 that uses an Azure AI Services model to identify anomalies in a time series data stream.
You need to run App1 in a location that has limited connectivity. The solution must minimize costs.
What should you use to host the model?
Answer: A
Explanation:
https://learn.microsoft.com/en-us/azure/cognitive-services/cognitive-services-container-support
NEW QUESTION # 183
You have a Docker host named Host1 that contains a container base image.
You have an Azure subscription that contains a custom speech-to-text model named model1.
You need to run model1 on Host1.
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.
Answer:
Explanation:
Explanation
According to the course AI-102T00: Designing and Implementing a Microsoft Azure AI Solution1, the correct sequence of actions to run model1 on Host1 is:
Export model1 to Host1
Run the container
Configure disk logging
The explanation and references are as follows:
Export model1 to Host1: This step is required to deploy the custom speech-to-text model to the Docker host. You can use the Azure portal or the Azure CLI to export the model as a container image2.
Run the container: This step is required to start the container and run the model on the Docker host. You can use the Docker CLI to run the container image3.
Configure disk logging: This step is optional but recommended to monitor the performance and health of the container. You can use the Docker CLI to configure disk logging for the container4.
NEW QUESTION # 184
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