AZ-900 Describe Azure architecture and services Practice Question
Which Azure service provides managed Apache Kafka streaming without managing brokers or Zookeeper?
⚠ Common exam trap
It's easy for candidates to confuse Azure Event Hubs with Azure Service Bus, assuming both are message brokers, but Event Hubs is optimized for high-throughput streaming and natively supports the Kafka protocol, whereas Service Bus is a traditional message broker for enterprise messaging patterns.
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
✓
Azure Event Hubs with Kafka endpoint
Azure Event Hubs with Kafka endpoint is correct because it provides a fully managed, real-time data streaming platform that is compatible with Apache Kafka producer and consumer APIs, allowing you to stream data into Event Hubs without managing any Kafka brokers or Zookeeper nodes. This service abstracts the underlying cluster management, scaling, and availability, making it a true serverless Kafka experience.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure Service Bus with Kafka protocol
Why it's wrong here
Azure Service Bus does not expose a Kafka protocol endpoint. Although Service Bus and Event Hubs are both messaging services in Azure, Service Bus is optimized for enterprise message queues and pub/sub topics using AMQP, not for high-throughput event streaming with Kafka consumers. Therefore, trying to use Service Bus as a Kafka broker would require a custom protocol translation layer, so it is not a valid answer.
- ✓
Azure Event Hubs with Kafka endpoint
Why this is correct
Azure Event Hubs natively provides a Kafka-compatible endpoint that allows existing Kafka clients and applications to publish and consume events without managing any Kafka brokers or Zookeeper nodes. This makes Event Hubs a fully managed, serverless event ingestion service that supports the Kafka protocol for both producers and consumers. As a result, it directly meets the requirement for a managed Kafka-compatible ingestion layer.
- ✗
Azure HDInsight Kafka cluster
Why it's wrong here
Azure HDInsight Kafka is a managed cluster service, but it still requires choosing node sizes, managing cluster scaling, and handling patching, monitoring, and Zookeeper coordination. Unlike Event Hubs' Kafka endpoint, HDInsight Kafka is not a fully managed PaaS event streaming service; it gives you operational control at the cost of ongoing administrative overhead. This makes it a heavier solution when the goal is simply to provide a managed Kafka-compatible endpoint.
- ✗
Azure Stream Analytics with Kafka input
Why it's wrong here
Azure Stream Analytics is a real-time stream processing engine that consumes data from sources like Event Hubs, IoT Hub, or Blob Storage and writes output to sinks, but it is not an ingestion service. It does not expose a Kafka protocol endpoint nor does it act as a broker for Kafka clients. Consequently, while Stream Analytics can process data originating from Kafka, it cannot serve as the managed Kafka interface required by the scenario.
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 Regions and Geographies
Key term
Availability
Availability is the measure of how often a system or service is operational and accessible when needed, typically expressed as a percentage of uptime.
Key term
Serverless
Serverless is a cloud computing model where the cloud provider manages the servers, and you only pay for the actual compute time your code uses, without having to worry about provisioning or maintaining infrastructure.
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