The correct choice is to deploy the microservice to Azure Container Apps and configure a scale rule with minReplicas set to 0. This works because Azure Container Apps natively supports gRPC endpoints without requiring a separate ingress controller, and setting minReplicas to 0 in a scale rule allows the service to scale down to zero instances when idle, automatically spinning back up when a new gRPC request arrives. On the AZ-204 exam, this scenario tests your understanding of how Container Apps combines native gRPC support with the Kubernetes-based KEDA scaling engine, and a common trap is assuming you need a separate API Management layer or a fixed minimum replica count for gRPC traffic. Remember that gRPC and scale-to-zero are both first-class features in Container Apps, so the key is simply lowering the minimum replicas. Memory tip: think "gRPC + zero = minReplicas 0" to avoid overcomplicating the solution.
AZ-204 Develop Azure compute solutions Practice Question
This AZ-204 practice question tests your understanding of develop azure compute solutions. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
You are developing a solution that uses Azure Container Apps. Your application is a microservice that needs to expose a gRPC endpoint. The service must scale to zero when idle. What should you do?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Deploy the microservice to Azure Container Apps and configure a scale rule with minReplicas set to 0.
Azure Container Apps natively supports gRPC endpoints and can scale to zero by setting `minReplicas` to 0 in a scale rule. This configuration allows the microservice to run only when there are active requests, reducing costs during idle periods. The combination of gRPC support and dynamic scaling makes Container Apps the correct choice for this scenario.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Use Azure Functions with a gRPC trigger.
Why it's wrong here
Azure Functions does not support gRPC triggers.
✓
Deploy the microservice to Azure Container Apps and configure a scale rule with minReplicas set to 0.
Why this is correct
Container Apps supports scaling to zero and gRPC.
Related concept
Read the scenario before looking for a memorised answer.
✗
Deploy the microservice to Azure Kubernetes Service with a virtual node.
Why it's wrong here
AKS does not scale to zero; it requires at least one node.
✗
Deploy the microservice to Azure Container Instances with a scale rule.
Why it's wrong here
ACI does not support scaling to zero; it's either running or stopped.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may assume Azure Functions can handle gRPC via custom handlers or that ACI supports autoscaling, but neither service provides native gRPC support or the scale-to-zero capability required for this specific workload.
Detailed technical explanation
How to think about this question
gRPC relies on HTTP/2 for bidirectional streaming, and Azure Container Apps uses Envoy as a sidecar proxy to handle HTTP/2 traffic, enabling gRPC without additional configuration. The scale-to-zero behavior is achieved through the Kubernetes Event-Driven Autoscaler (KEDA) integration, which monitors metrics like request count and scales replicas down to zero when no requests are present. In a real-world scenario, this is ideal for event-driven microservices that process sporadic workloads, such as a recommendation engine that only activates when users interact.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AZ-204 question in full detail.
Develop Azure compute solutions — This question tests Develop Azure compute solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Deploy the microservice to Azure Container Apps and configure a scale rule with minReplicas set to 0. — Azure Container Apps natively supports gRPC endpoints and can scale to zero by setting `minReplicas` to 0 in a scale rule. This configuration allows the microservice to run only when there are active requests, reducing costs during idle periods. The combination of gRPC support and dynamic scaling makes Container Apps the correct choice for this scenario.
What should I do if I get this AZ-204 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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