Consider an Azure Function configured with a Blob Storage input binding that triggers when a new blob is added. What will the function receive as input?
Think about what input bindings provide to the function code.
Input bindings in Azure Functions provide the actual data from the source, such as the blob content, so the function can process it directly.
You want an Azure Function to send messages to an Azure Queue Storage after processing. Which configuration correctly defines the output binding in function.json?
{
"bindings": [
{
"name": "outputQueueItem",
"type": "queue",
"direction": "out",
"queueName": "myqueue-items",
"connection": "AzureWebJobsStorage"
}
]
}Check the binding type and direction for sending messages to a queue.
Output bindings to Azure Queue Storage use type 'queue' with direction 'out'. 'queueTrigger' is for input triggers.
You have an Azure Function that processes data and needs to write results to both a Cosmos DB collection and an Azure Blob Storage container. Which approach correctly supports multiple output bindings?
Think about how Azure Functions handle multiple outputs.
Azure Functions support multiple output bindings by defining each in function.json and using separate parameters to output data to each service.
Which is the best practice to secure connection strings used in Azure Function output bindings?
Consider secure storage and access of sensitive information.
Storing secrets in Azure Key Vault and referencing them securely in app settings is the recommended best practice for security.
If an Azure Function with an output binding to Azure Table Storage fails during execution after partially writing data, what is the expected behavior regarding the output binding?
Think about transaction boundaries between function execution and output bindings.
Output bindings in Azure Functions are not transactional with the function execution, so partial writes can occur if the function fails after output binding writes.