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Microsoft Azure Explained
How to get certified
Microsoft Azure certifications follow a role-based pathway designed for IT professionals, developers, architects, data professionals, and security specialists. Certifications are grouped into four levels:
Fundamentals
These certifications are designed for beginners or professionals moving into cloud and AI roles.
- Microsoft Certified: Azure Fundamentals (AZ-900)
- Microsoft Certified: Azure AI Fundamentals (AI-901)
- Microsoft Certified: Azure Data Fundamentals (DP-900)
These validate foundational knowledge of cloud concepts, Azure services, AI workloads, and data platforms.
Associate Certifications
Associate-level certifications validate hands-on skills in a specific Azure role.
Examples include:
- Azure Administrator Associate (AZ-104)
- Azure Developer Associate (AZ-204) – retiring and replaced with AI-200
- Azure Security Engineer Associate (AZ-500)
- Azure Network Engineer Associate (AZ-700)
- Azure Database Administrator Associate (DP-300)
- Azure AI App and Agent Developer Associate (AI-103)
- Azure AI Cloud Developer Associate (AI-200)
- Machine Learning Operations (MLOps) Engineer Associate (AI-300)
- Windows Server Hybrid Administrator Associate (AZ-800/AZ-801)
These certifications focus on implementing, monitoring, securing, and optimizing Azure environments.
Expert Certifications
Expert certifications are intended for experienced professionals managing complex Azure environments.
- Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
- Microsoft Certified: DevOps Engineer Expert (AZ-400)
The DevOps Engineer Expert certification requires either Azure Administrator Associate or Azure Developer Associate as a prerequisite.
Specialty Certifications
Specialty certifications validate niche or advanced technical capabilities.
Examples include:
- Azure for SAP Workloads Specialty
- Azure IoT Developer Specialty
These are designed for professionals managing specific workloads or industry scenarios on Azure.
Typical Certification Process
- Start with a Fundamentals certification if you are new to Azure.
- Choose an Associate certification aligned with your role.
- Progress to Expert or Specialty certifications as your experience grows.
- Complete Microsoft Azure training and hands-on labs.
- Pass the relevant Microsoft certification exam.
Technologies covered
Technologies Covered
- Cloud Infrastructure Services: Covers Azure virtual machines, compute, storage, and networking services used to build and manage cloud infrastructure.
- Identity and Security: Includes Azure Active Directory, identity protection, access management, threat protection, and security controls across cloud and hybrid environments.
- Hybrid Cloud and Windows Server: Covers Azure Stack Hub, hybrid infrastructure, Windows Server integration, and management of on-premises and cloud environments.
- Networking and Connectivity: Includes Azure virtual networks, routing, hybrid connectivity, private access, and secure network architecture.
- DevOps and Automation: Covers CI/CD, Azure DevOps, infrastructure automation, deployment pipelines, and operational monitoring.
- Data Platforms and Analytics: Includes Azure SQL, data engineering, data integration, Power BI, analytics, and modern cloud data architectures.
- Artificial Intelligence and Machine Learning: Covers Azure AI services, Cognitive Services, conversational AI, machine learning models, and AI-enabled application development.
- Application Development and IoT: Includes Azure application development, APIs, serverless services, and Internet of Things (IoT) solutions.
Job roles
Job Roles
- Cloud Administrator (AZ-104): Manages Azure infrastructure, compute, storage, and networking environments.
- Azure Solutions Architect (AZ-305): Designs secure, scalable, and reliable Azure cloud solutions for enterprise environments.
- Azure Developer (AZ-204): Builds and maintains applications using Azure services and cloud-native development tools.
- Azure Security Engineer (AZ-500): Protects Azure environments through identity management, threat protection, and security monitoring.
- Azure Network Engineer (AZ-700): Designs and manages Azure networking, connectivity, routing, and hybrid cloud environments.
- DevOps Engineer (AZ-400): Implements CI/CD pipelines, automation, and operational processes across Azure environments.
- Data Engineer (DP-700): Designs and manages Azure-based data pipelines, data warehouses, and analytics platforms.
- AI Engineer (AI-103): Develops machine learning and AI solutions using Azure AI and data science services.
Frequently Asked Questions
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