You deploy an application that performs sentiment analysis on the data stored in Azure Cosmos DB.
Recently, you loaded a large amount of data to the database. The data was for a customer named Contoso, Ltd.
You discover that queries for the Contoso data are slow to complete, and the queries slow the entire application.
You need to reduce the amount of time it takes for the queries to complete. The solution must minimize costs.
What is the best way to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.
You are developing a mobile application that will perform optical character recognition (OCR) from photos.
The application will annotate the photos by using metadata, store the photos in Azure Blob storage, and then score the photos by using an Azure Machine Learning model.
What should you use to process the data?
You create an image classification model in Azure Machine Learning Studio.
You need to deploy the model as a containerized web service.
Which four 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.
You deploy an application that performs sentiment analysis on the data stored in Azure Cosmos DB.
Recently, you loaded a large amount of data to the database. The data was for a customer named Contoso. Ltd.
You discover that queries for the Contoso data are slow to complete, and the queries slow the entire application.
You need to reduce the amount of time it takes for the queries to complete. The solution must minimize costs.
What is the best way to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.
Your company is building custom models that integrate into microservices architecture on Azure Kubernetes Services (AKS).
The model is built by using Python and published to AKS.
You need to update the model and enable Azure Application Insights for the model.
What should you use?
