AZ-204 Develop Azure compute solutions Practice Question
You develop an Azure Functions app that processes images triggered by blob uploads. You need to ensure the function can process images in parallel and handle high upload volumes without missing events. Which trigger and plan combination is recommended?
⚠ Common exam trap
It's easy for candidates to assume the Blob Storage trigger is the natural choice for blob uploads, overlooking that Event Grid provides superior reliability and performance for high-volume scenarios, and that the Consumption plan's scaling limitations can lead to missed events or throttling.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Event Grid trigger on Premium plan
The Event Grid trigger on a Premium plan is recommended because Event Grid provides reliable, high-throughput event delivery with built-in retry and dead-lettering, ensuring no blob upload events are missed. The Premium plan offers dedicated instances and VNET connectivity, which avoids cold starts and allows parallel processing of multiple images concurrently, unlike the Consumption plan which has scaling limitations and potential for event loss under high volume.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Event Grid trigger on Premium plan
Why this is correct
This is the correct choice because an Event Grid trigger provides a robust, push-based event delivery system, ensuring immediate notification and built-in retry logic for image processing events. Pairing this with an Azure Functions Premium plan guarantees pre-warmed instances, eliminating cold starts, and offers dedicated compute resources with dynamic concurrency, which is essential for handling high-throughput image processing workloads with consistent low latency and reliability.
- ✗
Blob Storage trigger on Consumption plan
Why it's wrong here
This option is incorrect because the Blob Storage trigger operates on a polling mechanism, which inherently introduces latency and can lead to missed events, especially during rapid image uploads. Furthermore, deploying on a Consumption plan means the function app is susceptible to cold starts and resource throttling, making it unsuitable for a high-volume, real-time image processing scenario where consistent performance and immediate event handling are critical.
- ✗
Event Grid trigger on Consumption plan
Why it's wrong here
While an Event Grid trigger offers superior, push-based event delivery, deploying it on a Consumption plan introduces significant performance limitations for high-scale image processing. The Consumption plan's characteristic cold starts and potential for resource contention or throttling mean that even with efficient event notification, the actual function execution might experience delays and inconsistent performance, failing to meet the demands of a high-throughput, low-latency workload.
- ✗
Blob Storage trigger on Premium plan
Why it's wrong here
This option is incorrect because, despite the benefits of a Premium plan in providing dedicated resources and eliminating cold starts, the fundamental limitation of the Blob Storage trigger remains. Its polling mechanism means the function app periodically checks for new blobs, introducing inherent latency and the risk of missing events during bursts of image uploads, regardless of the underlying compute power. The Premium plan mitigates execution issues but does not resolve the trigger's architectural inefficiency for real-time event handling.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
Go deeper
Related to this question
Learn chapter
Azure Functions Development
Key term
Azure Functions Bindings
Azure Functions Bindings are declarative connections that link your serverless function code to Azure services or external resources, handling input and output data automatically without writing extra networking or authentication code.
Key term
Durable Functions
Durable Functions is an extension of Azure Functions that lets you write stateful workflows in code, managing complex sequences of tasks, retries, and delays automatically.
About these practice questions
Courseiva writes every AZ-204 question from scratch — 881 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AZ-204 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AZ-204 exam.