AI 200 – ACR Tasks: Build and Push Container Images Without Docker Desktop

Azure Container Registry Tasks (ACR Tasks) is the cloud-native answer to one of the most common pain points in containerized development — inconsistent builds caused by different Docker Desktop versions across developer machines. With ACR Tasks, you offload the entire build, test, and push pipeline to Azure itself — no Docker installation required. This AI-200 certification guide covers Quick Tasks, Triggered Tasks, Multi-Step Tasks, Managed Identity authentication, and the best practices Microsoft expects you to implement for containerized AI workloads on Azure.

Microsoft AZ-204 certification is Being Replaced by Microsoft AI-200 Certification

Microsoft has officially announced that AZ-204: Developing Solutions for Microsoft Azure will retire on July 31, 2026. Its replacement — AI-200: Developing AI Cloud Solutions on Azure — marks a fundamental shift in what Microsoft expects Azure developers to know. This is not a minor update. The new Microsoft Certified: Azure AI Cloud Developer Associate credential moves beyond App Service and Blob Storage to focus on containerised AI workloads, vector databases, Azure OpenAI integration, and event-driven pipelines. Whether you’re mid-prep for AZ-204 or starting fresh, here’s everything you need to know about the transition.

Azure SQL Database – Configure Job using Elastic Agents

Azure SQL Database Elastic Jobs enable users to automate and schedule administrative tasks across multiple Azure SQL Databases. Tasks such as schema updates, and user management can be efficiently handled. Elastic Jobs provides a centralized mechanism for workload management, ensuring consistency and reducing manual effort.

Implementing Inheritance in Azure Bicep: A Workaround Using Global and Module-Specific Tags

Inheritance is not natively supported in Azure Bicep, but with a creative use of modules and functions like union, we can implement a similar behavior.

This article demonstrates a practical workaround to manage global tags and extend them with module-specific tags dynamically.

The example includes creating two modules: (1) Storage Account and (2) Log Analytics Workspace. These modules receive and process tags via a centralized Tags module.

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