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In Azure AI-Language, what is the feature used to detect the language of a given text?
You have an Azure subscription. The subscription contains an Azure OpenAI resource that hosts a GPT-3.5 Turbo model named Model1.
You configure Model1 to use the following system message: “You are an AI assistant that helps people solve mathematical puzzles. Explain your answers as if the request is by a 4-year-old.”
Which type of prompt engineering technique is this an example of?
What is a characteristic of a non-relational database?
Azure provides prebuilt receipts and invoices in the Form Recognizer service. However, you can create
custom models using the Form Recognizer service in Azure to extract data specific to your business from the
forms. You can then use these models in your enrichment pipeline's custom skill interface. To create, use,
and manage your custom model in Form Recognizer, follow these steps in the correct order of execution:
1. Manage your custom models.
2. Use the Azure Blob container to upload training data.
3. Establish your training dataset.
4. Train the model using labeled or unlabeled datasets.
5. Test the model using a dataset not used in training.
6. Create a custom skill and use it in the enrichment pipeline.
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure Cognitive Search service.
During the past 12 months, query volume steadily increased.
You discover that some search query requests to the Cognitive Search service are being throttled.
You need to reduce the likelihood that search query requests are throttled.
Solution: You add replicas.
Does this meet the goal?
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