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Prerequisites

Before enrolling in the process of taking the AI-102 exams, candidates should be skilled in implementing Python and C#, using APIs and SDKs based on REST to create natural language processing solutions, computer vision solutions, and knowledge mining and communicative AI solutions based on Azure. In addition, such specialists should be knowledgeable of the elements that create the Azure AI portfolio as well as the data storage options. To add more, they should be able to implement AI principles appropriately.

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.

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To prepare for the Microsoft AI-102 exam, candidates can take advantage of various resources, such as online courses, documentation, and practice exams. Microsoft also offers a certification program called Azure AI Engineer Associate, which includes the AI-102 Exam as one of its requirements. Designing and Implementing a Microsoft Azure AI Solution certification demonstrates that the candidate has the skills and knowledge to design and implement AI solutions on the Azure platform.

Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q253-Q258):

NEW QUESTION # 253
You have an Azure subscription that contains an Azure OpenA1 resource named All.
You plan to develop a console app that will answer user questions.
You need to call All and output the results to the console.
How should you complete the code? To answer, select the appropriate options in the answer area NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

NEW QUESTION # 254
You are building a bot and that will use Language Understanding.
You have a LUDown file that contains the following content.

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.

Answer:

Explanation:

Reference:
https://github.com/solliancenet/tech-immersion-data-ai/blob/master/ai-exp1/README.md

NEW QUESTION # 255
You run the following command.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.

Answer:

Explanation:

Explanation
Text Description automatically generated

Box 1: Yes
http://localhost:5000/status
: Also requested with GET, this verifies if the api-key used to start the container is valid without causing an endpoint query.
Box 2: Yes
The command saves container and LUIS logs to output mount at C:output, located on container host
Box 3: Yes
http://localhost:5000/swagger
: The container provides a full set of documentation for the endpoints and a Try it out feature. With this feature, you can enter your settings into a web-based HTML form and make the query without having to write any code. After the query returns, an example CURL command is provided to demonstrate the HTTP headers and body format that's required.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-container-howto

NEW QUESTION # 256
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 # 257
You are developing a streaming Speech to Text solution that will use the Speech SDK and MP3 encoding.
You need to develop a method to convert speech to text for streaming MP3 data.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE:Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Graphical user interface, text, application, email Description automatically generated

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/how-to-use-codec-compressed-audio-in

NEW QUESTION # 258
......

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Microsoft AI-102 Latest Exam Duration | AI-102 Dumps Torrent

Prerequisites

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Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q253-Q258):

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