Azure Fundamentals (AZ-900): A Quick-Start Guide
AZ-900 is Microsoft's entry-level Azure exam: 45 minutes on cloud concepts, core Azure services, and management and governance. This guide gives the current outline with its weights, explains the ideas behind each area in plain terms, covers format, scoring and retakes, and sets out a three-week study plan.
GloryTecks Team
Training & Placement Faculty
Last updated: 2 October 2026
AZ-900 is the exam most people take first on Azure, and it is a reasonable first step for a simple reason: it asks you to understand the cloud, not to operate it. There are no labs and no commands to memorise. This guide covers what the exam contains, what the ideas mean, and how to prepare in about three weeks.
What it is, and who it is for
Microsoft Certified: Azure Fundamentals is a beginner-level certification. Microsoft describes it as demonstrating foundational knowledge of cloud concepts, core Azure services, and Azure management and governance, and as a common starting point for a career in Azure (Microsoft Learn: Azure Fundamentals).
It suits:
- Students and freshers who want a structured introduction to cloud computing.
- People moving into data, development or operations roles on Azure who need the vocabulary first.
- Non-technical staff, in sales, finance or project management, who work with cloud projects.
It does not suit someone who already builds on Azure daily. For them it confirms what they know and teaches little.
The exam at a glance
| Item | Detail |
|---|---|
| Exam | AZ-900: Microsoft Azure Fundamentals |
| Level | Beginner |
| Time | 45 minutes for the exam; allow 65 minutes for the sitting |
| Passing score | 700 on a scale of 1 to 1,000 |
| Delivery | Proctored, through Pearson VUE; Certiport for students and educators |
| Price | Set by country or region; check the exam page |
| Validity | Does not expire |
Three points are worth a sentence each.
The pass mark is not 70%. Scores are scaled, and Microsoft states that a score of 700 may not equal 70% of the points (Microsoft Learn: exam scoring).
No reference material. Associate-level exams allow access to Microsoft Learn during the exam. Fundamentals exams do not (Microsoft Learn: exam duration and experience). The same page says most certification exams have between 40 and 60 questions, and that the number can change.
It never needs renewing. Fundamentals certifications do not expire, unlike associate certifications, which are renewed every year (Microsoft Learn: certification renewal).
The outline
The study guide lists three skill areas, as of July 2026 (Microsoft Learn: AZ-900 study guide):
| Skill area | Weight |
|---|---|
| Describe cloud concepts | 25 to 30% |
| Describe Azure architecture and services | 35 to 40% |
| Describe Azure management and governance | 30 to 35% |
Every objective begins with "describe", "define", "identify" or "compare". That verb tells you the depth: you must recognise what a service is for and when to choose it, not configure it.
Area 1: cloud concepts
The ideas that apply to any cloud provider.
The shared responsibility model. The provider is always responsible for the physical datacentre. You are always responsible for your data and who can access it. Everything in between shifts with the type of service.
Service types. The three that the exam expects you to tell apart:
| Type | The provider manages | You manage | Example |
|---|---|---|---|
| Infrastructure as a service | Hardware, virtualisation | Operating system, applications, data | A virtual machine |
| Platform as a service | The above, plus operating system and runtime | Your application and data | A managed database or web app service |
| Software as a service | Everything | Your data and settings | Email delivered as a service |
Cloud models: public, private and hybrid, and when each fits.
The consumption-based model. You pay for what you use, with no hardware bought in advance. Capital expense becomes operating expense.
The benefits, each of which is its own objective: high availability, scalability, reliability, predictability, security, governance and manageability. Learn to distinguish scaling up, a bigger machine, from scaling out, more machines.
Area 2: Azure architecture and services
The largest area, with four groups.
Core architecture. How Azure is organised physically and logically:
- Regions, region pairs and availability zones: where the datacentres are and how they protect against failure.
- The management hierarchy: resources sit in resource groups, resource groups in subscriptions, subscriptions under management groups. Know the order and what each level is for.
Compute and networking. Virtual machines, scale sets, containers and functions, and how to choose among them. Virtual networks, subnets, peering, DNS, VPN Gateway and ExpressRoute. Public and private endpoints.
Storage. The storage services, the access tiers, the redundancy options, and the tools for moving data such as AzCopy and Storage Explorer. For data roles this is the part that continues into real work; Azure Data Lake Storage Gen2 explained goes further.
Identity, access and security. Microsoft Entra ID, authentication methods including multifactor authentication, Conditional Access, role-based access control, Zero Trust, defence in depth and Microsoft Defender for Cloud.
Role-based access control deserves extra time. The idea that access is a role, assigned to an identity, at a scope, comes up in every Azure service you will ever use.
Area 3: management and governance
How an organisation keeps control of what it runs.
- Cost management: the factors that affect cost, the pricing calculator, cost management tools, and tags for attributing spend.
- Governance and compliance: Azure Policy for enforcing rules, resource locks for preventing accidental deletion, Microsoft Purview for data governance.
- Managing and deploying resources: the portal, Cloud Shell, the Azure CLI and PowerShell, Azure Arc, and infrastructure as code with ARM templates.
- Monitoring: Azure Advisor for recommendations, Service Health for Azure's own status, and Azure Monitor with Log Analytics and alerts.
A common confusion to settle early: Policy controls what may be done, role-based access control controls who may do it, and locks protect a resource whatever anyone's role.
A three-week plan
This assumes about an hour a day and no prior cloud experience. Adjust to taste.
Week 1: cloud concepts and core architecture.
- Work through the cloud concepts part of Microsoft's free learning path, linked from the exam page.
- Create an Azure account and look around the portal. Create a resource group, put a storage account in it, then delete the group. Seeing the hierarchy once is worth an hour of reading.
- Write your own one-line definition of each term in the outline.
Week 2: services.
- Compute, networking and storage, then identity and security.
- For each service, answer two questions in a sentence: what is it for, and what would I use instead?
- Take Microsoft's free practice assessment once, to find the weak areas, not to score well.
Week 3: management, governance and revision.
- Cost, governance, deployment tools and monitoring.
- Revise from the outline line by line. Anything you cannot explain aloud goes on a list.
- Take the practice assessment again, and try the exam sandbox to see the interface.
- Book the exam when the practice results are steady.
Check your bill, or the free-account limits, before leaving anything running. Delete what you create.
If you do not pass
A failed first attempt is not the end, and the policy is forgiving: you may retake after 24 hours, then must wait 14 days between further attempts, up to five attempts in 12 months (Microsoft Learn: retake policy). A retake is a new booking, paid for where a fee applies. The score report shows your performance by skill area; study the weakest area and the one with the heaviest weight.
AZ-900 or DP-900?
People heading for data roles often ask which fundamentals exam to take.
| AZ-900 | DP-900 | |
|---|---|---|
| Subject | Azure in general | Data on Azure |
| Covers | Cloud concepts, architecture and services, management and governance | Core data concepts, relational and non-relational data, analytics workloads |
| Better first step for | Anyone new to the cloud | Someone who already understands cloud basics and wants the data vocabulary |
DP-900's outline is in its own study guide (Microsoft Learn: DP-900 study guide). Neither is a prerequisite for the other. If you can only do one and you are new to cloud, AZ-900 gives the broader footing.
What comes after
Fundamentals is a starting line. For data engineering, note that Microsoft retired the Azure Data Engineer Associate exam, DP-203, in March 2025; the DP-203 guide explains what replaced it. For the skills themselves, the Azure Data Factory roadmap is a practical next step.
The equivalent entry exams on other clouds are covered in AWS Cloud Practitioner and the GCP certification path. The concepts in area 1 are common to all three.
Keeping it in proportion
A fundamentals certificate shows you have learned the vocabulary and the map. It does not show you can build anything, and employers know that. Its real value is the structure it gives your first month of learning. Pair it with something you have made, however small.
Is AZ-900 hard for beginners?
How long is the AZ-900 exam?
Does the AZ-900 certification expire?
Do I need AZ-900 before other Azure exams?
Azure services for data engineering are covered in the Data Engineering course.
Sources
- Microsoft Certified: Azure Fundamentals (Microsoft Learn) β Microsoft Learn
- Study guide for Exam AZ-900: Microsoft Azure Fundamentals (Microsoft Learn) β Microsoft Learn
- Exam duration and exam experience (Microsoft Learn) β Microsoft Learn
- Exam scoring and score reports (Microsoft Learn) β Microsoft Learn
- Exam and Applied Skills assessment lab retake policies (Microsoft Learn) β Microsoft Learn
- Microsoft Certification Renewal (Microsoft Learn) β Microsoft Learn
- Study guide for Exam DP-900: Microsoft Azure Data Fundamentals (Microsoft Learn) β Microsoft Learn
GloryTecks Team
Training & Placement Faculty
The GloryTecks faculty team mentors learners across Data Science, AI and Data Engineering, with a focus on real-time projects and placement readiness in Hyderabad.
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