Learn how to ensure data retention in Azure IoT pipelines by utilizing resource templates and configuring messageRetentionInDays in Event Hub. Essential for AI-102 certification exam preparation.
Table of Contents
Question
You created a pipeline to capture event data from different devices in an oil field. There was a catastrophic failure in your pipeline that forced you to recreate it and the data that the devices did send was not retained. What can you do to ensure that if another failure happens, the data will be preserved?
A. Have RAID on each of the IoT devices
B. Ensure that the pipelines are duplicating data across multiple databases
C. Have monitoring on each of the pipelines to detect errors
D. Use a resource template to create the event hub and set the messageRetentionInDays
Answer
D. Use a resource template to create the event hub and set the messageRetentionInDays
Explanation
Event Hub Configuration
Azure Event Hub is designed for high-throughput data ingestion, making it ideal for IoT scenarios where devices continuously send data.
The messageRetentionInDays property in Event Hub allows you to specify how long incoming messages should be retained. By setting this property, you ensure that even if a pipeline fails, the data remains accessible for a specified duration (up to 7 days) before being discarded.
Resource Templates
Using Azure Resource Manager (ARM) templates, you can automate the creation and configuration of Event Hub resources. This ensures consistency across deployments and allows you to include the messageRetentionInDays setting as part of your infrastructure definition.
Resource templates also simplify recovery processes, enabling quick recreation of the pipeline with predefined configurations.
Why Other Options Are Incorrect
A. RAID on IoT Devices: RAID is a storage redundancy mechanism that applies to physical devices, not pipeline-level data management. It does not address message retention or pipeline recovery in Azure.
B. Duplicating Data Across Databases: While redundancy can help, it does not directly address temporary message retention during pipeline failures. It also adds complexity and cost.
C. Monitoring Pipelines for Errors: Monitoring helps detect failures but does not prevent data loss or preserve messages during downtime.
By leveraging Event Hub’s message retention feature and resource templates, you can safeguard critical IoT data against unexpected pipeline disruptions, ensuring compliance with best practices for managing Azure AI solutions.
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