What are the data residency considerations for Azure Service Bus? In which geographic locations is your message data stored?
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what is azure service bus
- What are the recommended migration strategies and tools? How can you use Azure Service Bus to build scalable and reliable data ingestion pipelines for big data analytics platforms like Azure Synapse Analytics or Azure Databricks?
- What are the recommended patterns for handling transient and non-transient errors? How can you use Azure Service Bus to implement distributed caching invalidation strategies, where changes to data in one part of the system trigger updates in distributed caches through messaging?
- What are the challenges of achieving transactional consistency in a microservices environment?
- What configuration and operational practices are necessary to ensure compliance? How can you use Azure Service Bus to build real-time data streaming applications, where events are processed and reacted to with minimal latency?
- Why is comprehensive documentation important for maintainability and collaboration?
- How does Service Bus help address these challenges? What are the different ways to monitor the health of your Service Bus entities?
- How do you implement the principle of least privilege when granting permissions? How do you rotate SAS keys securely?
- How does the outbox pattern provide a reliable solution? What are the considerations for choosing the appropriate SDK and client library for interacting with Azure Service Bus based on your programming language and application requirements?
- What is publish/subscribe messaging in Azure Service Bus? What is message routing in Azure Service Bus?
- What are the benefits of using a message broker like Service Bus in an event-driven system? How does Azure Service Bus compare to other message brokers like RabbitMQ or Kafka?
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