
Learn how cloud computing delivers computing services over the internet, using four building blocks—compute, storage, databases, and networking—and enable scalable, on-demand access through Azure, plus IoT, ML, and AI capabilities.
Explain the shared responsibility model in cloud computing, showing how providers secure physical infrastructure while you protect data, passwords, and application access.
Discover private, public, and hybrid cloud deployment models, their security, privacy, and control trade-offs, and how pay as you go pricing and scalability enable gradual migration.
Analyze real-world use cases of cloud deployment models, mapping scenarios to private, public, and hybrid solutions. Explore security, scalability, and cost considerations across banks, hospitals, startups, and government.
Understand how the consumption-based model contrasts capital expenditure (capex) and operational expenditure (opex) in cloud computing, using Azure services and pay-for-usage examples.
Explore how cloud computing cuts costs with pay-as-you-go pricing, economies of scale, scale-up and scale-down, and a shift from upfront capex to ongoing opex, using Azure.
Discover high availability in cloud architecture, including redundancy, data replication, backups, and failover, and understand the role of service level agreement (sla) and uptime guarantees like 99.9% in Azure.
Explore high scalability in cloud computing by defining scalability, explaining vertical and horizontal scaling, and detailing scale up, scale down, scale out, scale in, with automatic and manual triggers.
Detect failures quickly, recover automatically, and keep services running by leveraging decentralized architectures and global failover across Azure regions.
Discover high predictability in Azure, delivering consistent performance and predictable costs for planning. Use auto scaling, load balancing, high availability, and pricing or TCO calculators to forecast resources.
See how cloud manageability evolves from manual labor to an automated ecosystem, using control, monitoring, and optimization to scale resources and deploy infrastructure as needed.
Free AZ-900: Microsoft Azure Fundamentals Course | AZ-900, Microsoft Azure Fundamentals AZ900, Azure AZ900, AZ-900
Prepare for the Microsoft AZ-900: Azure Fundamentals Certification Exam with a comprehensive course designed to help you understand Microsoft Azure cloud concepts and successfully pass the AZ-900 certification.
Whether you are new to cloud computing or an IT professional looking to validate your cloud knowledge, this course will help you learn the core Microsoft Azure services, cloud computing models, identity and security concepts, governance tools, and pricing structures used in Azure.
These practice tests will help you:
• Simulate the real AZ-900 certification exam experience
• Identify weak areas before taking the exam
• Strengthen your understanding of Azure cloud concepts
• Improve your exam readiness and confidence
The practice tests are ideal for learners who want hands-on exam preparation with realistic certification questions.
AZ-900 Exam Domains Covered
This course follows the official Microsoft AZ-900 skills outline, ensuring complete coverage of the certification exam topics. The AZ-900 exam measures your knowledge across three major domains.
Describe cloud concepts (25–30%)
Describe cloud computing
Define cloud computing
Describe the shared responsibility model
Define cloud models, including public, private, and hybrid
Identify appropriate use cases for each cloud model
Describe the consumption-based model
Compare cloud pricing models
Describe serverless
Describe the benefits of using cloud services
Describe the benefits of high availability and scalability in the cloud
Describe the benefits of reliability and predictability in the cloud
Describe the benefits of security and governance in the cloud
Describe the benefits of manageability in the cloud
Describe cloud service types
Describe infrastructure as a service (IaaS)
Describe platform as a service (PaaS)
Describe software as a service (SaaS)
Identify appropriate use cases for each cloud service type (IaaS, PaaS, and SaaS)