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To be eligible for this certification, you should have a good understanding of Azure fundamentals, including Azure Virtual Machines, Azure Storage, and Azure Virtual Networks. You should also have experience with machine learning models, including deep learning and natural language processing. Additionally, you should have knowledge of programming languages such as Python, R, and Scala.

To pass the Microsoft AI-102 Exam, candidates must have a deep understanding of AI fundamentals, including machine learning models, data preparation, feature engineering, and model selection. They must also have practical experience in designing and implementing AI solutions in Azure, including deploying models, monitoring performance, and troubleshooting issues.

To prepare for the Microsoft AI-102 Exam, candidates are recommended to have a good understanding of AI concepts, programming languages such as Python and R, and experience in using Azure AI services. Microsoft offers various resources, including online courses, practice exams, and study guides, to help candidates prepare for the exam and increase their chances of passing it on the first attempt.

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Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q32-Q37):

NEW QUESTION # 32
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?

A. Azure Al Vision
B. Azure Video Analyzer for Media (formerly Video Indexer)
C. Face

Answer: A

NEW QUESTION # 33
You train a Custom Vision model to identify a company's products by using the Retail domain.
You plan to deploy the model as part of an app for Android phones.
You need to prepare the model for deployment.
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:
In user want to change to deploy offline model
1. Change model domain to compact model
2. Retrain compact model
3. Export model
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/export-your-model

NEW QUESTION # 34
You are building an app that will share user images.
You need to configure the app to perform the following actions when a user uploads an image:
* Categorize the image as either a photograph or a drawing.
* Generate a caption for the image.
The solution must minimize development effort.
Which two services should you include in the solution? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. image classification in Custom Vision
B. content tags in Computer Vision
C. object detection in Computer Vision
D. image type detection in Computer Vison
E. image descriptions in Computer Vision

Answer: D,E

Explanation:
According to the Microsoft documentation, Computer Vision is a cloud-based service that provides developers with access to advanced algorithms for processing images and returning information. By uploading an image or specifying an image URL, Computer Vision algorithms can analyze visual content in different ways based on inputs and user choices.
According to the Microsoft documentation, image type detection is one of the features of Computer Vision that can categorize an image as either a photograph or a drawing. You can use the image type detection feature by calling the Analyze Image API with the visualFeatures parameter set to ImageType.
The API will return a JSON response with an imageType field that indicates whether the image is a photo or a clipart.
According to the Microsoft documentation, image descriptions is another feature of Computer Vision that can generate a caption for an image. You can use the image descriptions feature by calling the Analyze Image API with the visualFeatures parameter set to Description. The API will return a JSON response with a description field that contains a list of captions for the image, each with a confidence score.
Therefore, by using these two features of Computer Vision, you can achieve your app requirements with minimal development effort. You don't need to use any other services, such as object detection, content tags, or Custom Vision, which are designed for different purposes.

NEW QUESTION # 35
You have an Azure subscription that contains an Azure OpenA1 resource. You configure a model that has the following settings:
* Temperature: 1
* Top probabilities: 0.5
* Max response tokens: 100
You ask the model a question and receive the following response.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 36
You are developing the shopping on-the-go project.
You are configuring access to the QnA Maker resources.
Which role should you assign to AllUsers and LeadershipTeam? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/reference-role-based-access-control

NEW QUESTION # 37
......

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