Microsoft Azure Architect Design (AZ-304) Practice Test

Is using an Azure Function to run an image processing application every hour an effective solution to meet resource consumption goals?

1. Yes

2. No

3. Only for small datasets

4. Depends on the execution time

The correct answer is: No

Using Azure Functions for running an image processing application may not be the most effective solution to meet resource consumption goals, particularly for applications that require a high level of compute resources or sustained execution time. Azure Functions are designed for short-lived, event-driven tasks and have limitations regarding execution time, which is capped at a maximum of 60 minutes in the standard plan (though this can be extended in a premium plan). If the image processing tasks require significant computation or could exceed the execution limit, running them on a timer every hour might lead to performance bottlenecks or incomplete processing, especially if the tasks require more intensive processing. Additionally, while Azure Functions can scale automatically, they are not ideally suited for workloads that demand guaranteed resource availability or that have large data throughput requirements. For applications that deal with substantial data, require heavy processing, or need to maintain a consistent level of resources over time, other options such as Azure Batch, Azure Kubernetes Service, or Virtual Machines might provide a more appropriate balance between resource allocation and processing capabilities.