Event Hub Services (Azure Event Hub) Questions and Answers for Viva

Answer-1: Azure Event Hub is a fully managed, real-time data ingestion service that can process millions of events per second.

Answer-2: Use cases include telemetry data ingestion, live dashboarding, application logging, and real-time analytics.

Answer-3: Event Hub is optimized for big data streaming and event ingestion, while Service Bus is for enterprise messaging with queues and topics.

Answer-4: A namespace is a container for Event Hub instances and provides a scoping container for addressing.

Answer-5: Partitions allow concurrent reads and writes by splitting event streams into multiple logs.

Answer-6: By allowing parallelism and scalability for event processing.

Answer-7: It defines how long events are stored in Event Hub, ranging from 1 to 7 days by default.

Answer-8: A consumer group is a view (state, position, or offset) of an entire event hub, enabling multiple consumers to read independently.

Answer-9: Throughput units are pre-purchased capacity units that define ingress and egress limits.

Answer-10: By using Shared Access Signatures (SAS), Azure Active Directory (AAD), and virtual network service endpoints.

Answer-11: Event Hub supports AMQP and HTTPS protocols.

Answer-12: Yes, Event Hub is often used as an input source for Azure Stream Analytics for real-time processing.

Answer-13: Maximum event size is 1 MB.

Answer-14: By increasing throughput units or enabling auto-inflate to scale dynamically.

Answer-15: Auto-Inflate automatically increases throughput units as demand grows, up to a configured maximum.

Answer-16: Events are stored durably in partitions for the retention period.

Answer-17: The default is 1 day, but it can be configured up to 7 days.

Answer-18: Yes, consumers can read from any offset within the retention period to replay events.

Answer-19: Using Event Hub SDKs, REST API, or Event Hubs Capture feature.

Answer-20: A feature to automatically capture streaming data into Azure Blob Storage or Azure Data Lake.

Answer-21: Event Hubs supports Kafka protocol but is a managed PaaS, whereas Kafka is open-source software.

Answer-22: Through replication and durable storage across multiple nodes.

Answer-23: Up to 32 partitions per event hub.

Answer-24: Offset is a position marker indicating the last read event within a partition.

Answer-25: They enable multiple independent applications to read the event stream without interfering.

Answer-26: Microsoft provides SDKs for .NET, Java, Python, JavaScript, and more.

Answer-27: Pricing is based on throughput units, ingress, egress, and retention.

Answer-28: Using Azure Monitor metrics, logs, and diagnostic settings.

Answer-29: Latency is typically under a few seconds for event ingestion and processing.

Answer-30: Combine Event Hub with idempotent consumers and checkpointing.

Answer-31: Checkpointing records the last processed event offset for reliable processing and fault tolerance.

Answer-32: Yes, it?s a common service to ingest IoT telemetry data at scale.

Answer-33: Azure Functions can be triggered by Event Hub events for serverless processing.

Answer-34: A partition key ensures all events with the same key go to the same partition for ordered processing.

Answer-35: By sending events with the same partition key to the same partition, preserving order.

Answer-36: Standard offers shared resources and limited throughput units; Dedicated provides isolated capacity and higher throughput.

Answer-37: It represents a capacity unit with 1 MB/s ingress, 2 MB/s egress, and 1000 events per second.

Answer-38: Data is encrypted at rest using Azure Storage encryption and in transit via TLS.

Answer-39: Yes, using Virtual Network Service Endpoints and firewall rules.

Answer-40: It simplifies reading events across partitions with checkpointing and load balancing.

Answer-41: By designing idempotent consumers and using checkpointing to avoid reprocessing.

Answer-42: Checking metrics, logs, reviewing throughput units, and verifying network/firewall settings.

Answer-43: Yes, through Azure Stream Analytics or custom connectors for real-time dashboards.

Answer-44: Up to 1 MB/s ingress per throughput unit, scalable by purchasing multiple throughput units.

Answer-45: By using batch APIs in SDKs that send multiple events in one call to improve throughput.

Answer-46: Retention is how long events are stored; processing is how events are consumed by applications.

Answer-47: Schema Registry service can be used to manage event schemas centrally.

Answer-48: Capture can introduce a small delay since it writes events in batches to storage.

Answer-49: Yes, Event Hub supports Kafka protocol enabling seamless integration with Kafka clients.

Answer-50: Features include role-based access control (RBAC), Shared Access Signatures (SAS), encryption, and network isolation.