The answer is integration with Dapr, along with KEDA and blue-green deployment support, as three key features of Azure Container Apps. Dapr provides a distributed application runtime that simplifies building microservices with capabilities like service-to-service invocation, state management, and pub/sub messaging, all of which are natively integrated into Azure Container Apps. KEDA enables event-driven autoscaling, allowing containers to scale to zero when idle and scale out based on metrics like queue depth or HTTP requests, while blue-green deployments facilitate zero-downtime updates by routing traffic between two identical environments. On the AZ-204 exam, this question tests your understanding of how Azure Container Apps abstracts Kubernetes complexity for serverless containers—a common trap is confusing these features with those of Azure Kubernetes Service (AKS), which requires manual configuration. Remember the mnemonic “KDB” for KEDA, Dapr, and Blue-green to quickly recall the three supported features.
AZ-204 Develop Azure compute solutions Practice Question
This AZ-204 practice question tests your understanding of develop azure compute solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
Which THREE features are supported by Azure Container Apps? (Select three.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Event-driven scaling using KEDA.
Azure Container Apps uses KEDA (Kubernetes Event-Driven Autoscaling) to scale containers based on event-driven metrics such as queue depth, HTTP request count, or custom Prometheus metrics. This allows containers to scale to zero when idle and scale out rapidly based on real-time demand, making it ideal for event-driven workloads.
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.
✗
Virtual network (VNet) injection.
Why it's wrong here
VNet injection is not a standard feature; Container Apps runs in a managed environment.
✗
Mounting Azure NetApp Files volumes.
Why it's wrong here
Container Apps supports Azure Files and Azure Blob storage, not Azure NetApp Files.
✓
Event-driven scaling using KEDA.
Why this is correct
KEDA is integrated for scaling based on events.
Related concept
Read the scenario before looking for a memorised answer.
✓
Blue-green deployment with revisions.
Why this is correct
Revisions allow traffic splitting and blue-green deployments.
Related concept
Read the scenario before looking for a memorised answer.
✓
Integration with Dapr (Distributed Application Runtime).
Why this is correct
Dapr is built into Container Apps.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure Container Apps with Azure Kubernetes Service (AKS) and assume VNet injection and NetApp Files are supported, but Container Apps abstracts the underlying Kubernetes layer and restricts these advanced networking and storage features.
Detailed technical explanation
How to think about this question
KEDA works by deploying a custom resource (ScaledObject) that defines the event source (e.g., Azure Service Bus, RabbitMQ) and scaling rules. The KEDA operator then queries the event source's metrics and adjusts the replica count of the container app's revision accordingly. In a real-world scenario, a container processing messages from an Azure Storage Queue can scale from 0 to 100 replicas within seconds as messages pile up, then scale back to zero when the queue is empty, optimizing cost and resource usage.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
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: Event-driven scaling using KEDA. — Azure Container Apps uses KEDA (Kubernetes Event-Driven Autoscaling) to scale containers based on event-driven metrics such as queue depth, HTTP request count, or custom Prometheus metrics. This allows containers to scale to zero when idle and scale out rapidly based on real-time demand, making it ideal for event-driven workloads.
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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Question Discussion
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