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Microsoft AI-102 Exam is designed for professionals who want to validate their skills and knowledge in designing and implementing AI solutions on the Microsoft Azure platform. Designing and Implementing a Microsoft Azure AI Solution certification is intended for individuals who have experience in programming languages such as Python, C#, and JavaScript, and are familiar with Azure services such as Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service.
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The average salary of a AI-102: Designing and Implementing an Azure AI Solution Exam Certified Expert in
NEW QUESTION # 30
You have the following C# method for creating Azure AI service resources programmatically.
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?
Answer: C
Explanation:
There is free tier available for Computer Vision service.
- Free - Web/Container
- 20 per minute
- 5,000 free transactions per month
Only ComputerVision allows you to generate descriptions. Custom vision is used to build custom models for image classification and other basic stuff, not complex tasks like description generation.
Reference:
https://azure.microsoft.com/en-us/pricing/details/cognitive-services/computer-vision/
NEW QUESTION # 31
You are building an app that will answer customer calls about the status of an order. The app will query a database for the order details and provide the customers with a spoken response.
You need to identify which Azure Al service APIs to use. The solution must minimize development effort.
Which object should you use for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
For a phone-style bot that listens to customers and replies with spoken output, you use two core Azure AI Speech SDK objects:
* SpeechRecognizer performs speech-to-text (STT), turning the caller's audio into text that your app can use to query the orders database. This minimizes effort because it handles audio capture/streaming, language models, and returns recognized text events/results directly.
* SpeechSynthesizer performs text-to-speech (TTS), converting the retrieved order status text into natural- sounding audio to play back to the customer. It supports neural voices and simple calls like SpeakTextAsync() .
Other options are not appropriate here:
* TranslationRecognizer is for real-time speech translation, not needed for simple STT.
* VoiceProfileClient is for speaker verification/identification, not for recognition or synthesis of the conversation content.
Microsoft References
* Azure AI Speech SDK - Speech to text (SpeechRecognizer) overview and quickstarts.
* Azure AI Speech SDK - Text to speech (SpeechSynthesizer) overview and quickstarts.
* Azure AI Speech SDK concepts - recognition vs. synthesis pipelines.
NEW QUESTION # 32
You have an Azure subscription that contains an Azure App Service app named Appl.
You provision a multi-service Azure Cognitive Services resource named CSAccount1.
You need to configure App1 to access CSAccount1. The solution must minimize administrative effort.
What should you use to configure App1?
Answer: B
NEW QUESTION # 33
You plan to deploy an Azure OpenAI resource by using an Azure Resource Manager (ARM) template.
You need to ensure that the resource can respond to 600 requests per minute.
How should you complete the template? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
When deploying an Azure OpenAI model using the Microsoft.CognitiveServices/accounts/deployments resource in an ARM template, the throughput for a Standard deployment is set on the SKU object.
Specifically:
Use the capacity field of the SKU to specify the per-deployment rate.
Provide the integer value that represents the requests per minute (RPM) you want the deployment to handle.
Therefore, to meet the requirement of 600 requests per minute , complete the template as:
" sku " : {
" name " : " Standard " ,
" capacity " : 600
}
This uses a single deployment SKU with a defined capacity. The ARM schema for accounts/deployments explicitly includes sku.capacity for resources that support scale (Azure OpenAI deployments do), and Azure OpenAI quota/rate-limit guidance confirms that rate limits are assigned per deployment.
Microsoft Azure AI Solution References
ARM template-Microsoft.CognitiveServices/accounts/deployments (2023-05-01) : property reference showing sku.capacity. Microsoft Learn Resource type reference-latest accounts/deployments : confirms SKU usage on deployments. Microsoft Learn Azure OpenAI quota and rate limits : explains assigning deployment-level limits (RPM/TPM). Microsoft Learn
NEW QUESTION # 34
You are developing an application that includes language translation.
The application will translate text retrieved by using a function named get_text_to_be_translated. The text can be in one of many languages. The content of the text must remain within the Americas Azure geography.
You need to develop code to translate the text to a single language.
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:
NEW QUESTION # 35
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