Microsoft Azure perguntas e respostas de entrevista
Pergunta 6. What is Azure Traffic Manager and how does it work?
Azure Traffic Manager is a DNS-based traffic load balancer that distributes incoming user traffic across multiple Azure regions. It enhances application reliability, availability, and responsiveness.
Example:
Configure Azure Traffic Manager to route traffic to the nearest available Azure region based on geographic location.
Pergunta 7. Explain the Azure Functions consumption plan and its benefits.
Azure Functions Consumption Plan is a serverless hosting option that automatically scales based on demand. It allows you to pay only for the resources consumed during execution, providing cost-efficiency and scalability.
Example:
Deploy an Azure Function to a Consumption Plan: Specify the plan in the Azure Functions configuration or during deployment.
Pergunta 8. What is Azure Cognitive Services and how can it be used in applications?
Azure Cognitive Services are APIs and services for adding intelligent features to applications. They include computer vision, speech, language understanding, and more. Use Cognitive Services to enable capabilities like image recognition and natural language processing.
Example:
Integrate Azure Computer Vision into an application to analyze and describe images: Use the Computer Vision API to extract information from images.
Pergunta 9. Explain Azure Functions Triggers and Bindings.
Azure Functions Triggers are events that cause a function to run, while Bindings are a declarative way to connect input and output data to a function. Triggers and Bindings simplify the integration of functions with other services and data sources.
Example:
Use an Azure Blob Storage Trigger to automatically execute a function when a new file is added to a storage container.
Pergunta 10. What is Azure Virtual Machine Scale Sets and how do they work?
Azure Virtual Machine Scale Sets allow you to run and manage a set of identical virtual machines. They automatically increase or decrease the number of VM instances based on demand or a defined schedule, ensuring high availability and scalability.
Example:
Create a VM Scale Set with Azure CLI: az vmss create --resource-group--name --image --instance-count
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