AZ-900 Describe Azure architecture and services Practice Question
Which Azure service provides a platform for running Apache Kafka for real-time event streaming without managing infrastructure?
⚠ Common exam trap
Watch out — candidates often confuse Azure HDInsight Kafka (which still requires cluster management) with a fully managed Kafka service, or they assume Azure Service Bus or Stream Analytics can serve as a Kafka endpoint when they use different protocols and are not designed for Kafka-native streaming.
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, Kafka-protocol-compatible event streaming service that allows you to run Apache Kafka workloads without provisioning or managing any Kafka clusters. This enables real-time event streaming using existing Kafka producers and consumers while Azure handles the underlying infrastructure, scaling, and high availability.
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
Why it's wrong here
Azure Service Bus is an enterprise messaging service designed for reliable brokered messaging with features like queues, topics, and sessions, supporting AMQP, SBMP, and HTTP/REST protocols. It does not implement the Kafka wire protocol, so existing Kafka applications cannot connect to it without changing their client code and communication patterns. Service Bus is more suited for command-style messaging with competing consumers and transactional workflows, whereas Event Hubs is purpose-built for massive event telemetry ingestion, including Kafka protocol support.
- ✗
Azure Stream Analytics
Why it's wrong here
Azure Stream Analytics is a real-time stream processing engine that runs SQL-like queries over streaming data, not an event ingestion broker. It typically reads from an input source such as Event Hubs, processes the data, and writes to outputs like Power BI or storage. While it is useful for analyzing streaming data, it does not expose a Kafka-compatible endpoint and cannot ingest events from Kafka clients directly; therefore it cannot replace Event Hubs for the initial ingestion layer.
- ✓
Azure Event Hubs with Kafka endpoint
Why this is correct
Azure Event Hubs with Kafka endpoint is the correct choice because it provides a fully managed, Kafka-compatible protocol endpoint on top of Event Hubs, allowing existing Kafka producers and consumers to connect using their current client libraries without any code changes. It supports Kafka protocol 1.0 and later, enabling seamless migration of Kafka workloads to Azure while eliminating the need to manage Kafka clusters. Event Hubs also integrates natively with other Azure services, provides adaptive throughput, and uses partitioning for high-scale event ingestion.
- ✗
Azure HDInsight Kafka cluster
Why it's wrong here
Azure HDInsight Kafka cluster is a managed Apache Kafka service, but it still requires you to manage cluster nodes, configure scaling, apply OS and Kafka patches, and handle infrastructure capacity. This operational overhead makes it heavier than a fully managed event streaming service. Additionally, HDInsight Kafka is not a serverless ingestion layer; you must provision and pay for cluster nodes even when idle, unlike Event Hubs with Kafka endpoint which scales automatically.
Go deeper
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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
High availability
High availability is a system design approach that aims to keep applications and services operational and accessible with minimal downtime, even when some components fail.
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Senior Network & Security Engineer · founder of Courseiva
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