This exam is designed for those looking to demonstrate foundational knowledge on the considerations and benefits of adopting cloud services in general and the Software as a Service (SaaS) cloud model. The exam will also cover knowledge of available options and benefits gained by implementing Microsoft 365 cloud service offerings.

MS Azure Fundamentals can be taken as a precursor to cloud computing and technologies exams such as Office 365, Microsoft Intune, Azure Information Protection (AIP), and Windows 10.

 

Please expect 34-40 questions to complete in the exam within 45 to 60 minutes.

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General Exam Objectives:

Describe cloud concepts (25–30%)

• Describe cloud computing

• Describe the benefits of using cloud services

• Describe cloud service types

Describe Azure architecture and services (35–40%)

• Describe the core architectural components of Azure

• Describe Azure compute and networking services

• Describe Azure storage services

• Describe Azure identity, access, and security

Describe Azure management and governance (30–35%)

• Describe cost management in Azure

• Describe features and tools in Azure for governance and compliance

• Describe features and tools for managing and deploying Azure resources

 

Specific Exam Objectives: Study guide for Exam AZ-900: Microsoft Azure Fundamentals | Microsoft Learn

This exam is designed for candidates looking to demonstrate foundational knowledge on the considerations and benefits of adopting cloud services in general and the Software as a Service (SaaS) cloud model. The exam will also cover knowledge of available options and benefits gained by implementing Microsoft 365 cloud service offerings.

Microsoft 365 Fundamentals can be taken as a precursor to cloud computing and technologies exams such as Office 365, Microsoft Intune, Azure Information Protection (AIP), and Windows 10.

 

For this exam, please expect  38-43 questions to complete within 45 to 60 minutes.

 

General Exam Objectives:

Describe cloud concepts (5–10%)

• Describe the different types of cloud services available

• Describe the benefits of and considerations for using cloud, hybrid, or on-premises services

Describe Microsoft 365 apps and services (45–50%)

• Describe productivity solutions of Microsoft 365

• Describe collaboration solutions of Microsoft 365

• Describe device and cloud endpoint management concepts and deployment options in Microsoft 365

• Describe Microsoft 365 administration capabilities

Describe security, compliance, privacy, and trust in Microsoft 365 (25–30%)

• Describe identity and access management solutions of Microsoft 365

• Describe threat protection solutions of Microsoft 365

• Describe trust, privacy, risk, and compliance solutions of Microsoft 365

Describe Microsoft 365 pricing, licensing, and support (10–15%)

• Identify Microsoft 365 pricing and billing management options

• Identify licensing options available in Microsoft 365

• Identify support options for Microsoft 365 services

 

Specific Exam Objectives: Study guide for Exam MS-900: Microsoft 365 Fundamentals | Microsoft Learn

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Note, this exam retires March 31, 2026

This exam is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure. It is intended for candidates with both technical and non-technical backgrounds.

Examinees should have foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial.

 

For this exam, please expect  42-47 questions to complete within 45 to 60 minutes.

 

General Exam Objectives:

Describe Artificial Intelligence workloads and considerations (15–20%)

• Identify features of common AI workloads

• Identify guiding principles for responsible AI

Describe fundamental principles of machine learning on Azure (15-20%)

• Identify common machine learning techniques

• Describe core machine learning concepts

• Describe Azure Machine Learning capabilities

Describe features of computer vision workloads on Azure (15–20%)

• Identify common types of computer vision solution

• Identify Azure tools and services for computer vision tasks

• Describe features of Natural Language Processing (NLP) workloads on Azure (15–20%)

• Identify features of common NLP Workload Scenarios

• Identify Azure tools and services for NLP workloads

Describe features of generative AI workloads on Azure (20–25%)

• Identify features of generative AI solutions

• Identify generative AI services and capabilities in Microsoft Azure

 

Specific Exam Objectives: Study guide for Exam AI-900: Microsoft Azure AI Fundamentals | Microsoft Learn

This exam is intended for those beginning to work with data in the cloud.

Examinees should have foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services and should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.

 

For this exam, please expect  43-48 questions to complete within 45 to 60 minutes.

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General Exam Objectives:

Describe core data concepts (25–30%)

• Describe ways to represent data

• Identify options for data storage

• Describe common data workloads

• Identify roles and responsibilities for data workloads

Identify considerations for relational data on Azure (20–25%)

• Describe relational concepts

• Describe relational Azure data services

Describe considerations for working with non-relational data on Azure (15–20%)

• Describe capabilities of Azure storage

• Describe capabilities and features of Azure Cosmos DB

Describe an analytics workload (25–30%)

• Describe common elements of large-scale analytics

• Describe consideration for real-time data analytics

• Describe data visualization in Microsoft Power BI

 

Specific Exam Objectives: Study guide for Exam DP-900: Microsoft Azure Data Fundamentals | Microsoft Learn

Candidates for this exam are seeking to prove introductory knowledge of how to responsibly manipulate, analyze, and communicate findings of data analysis.

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For this exam, please expect  35-45 questions to complete within 50 minutes.

 

General Exam Objectives:

1. Data Basics

1. Define the concept of data science

2. Describe basic data variable types

3. Describe basic structures used in data analytics

4. Gather data and categorize data

2. Data Manipulation

1. Import, store, and export data

2. Clean data using SQL, R, Python, and Excel

3. Organize data using SQL, R, Python, and Excel

4. Aggregate data using SQL, R, Python, and Excel

3. Data Analysis

1. Describe and differentiate between types of data analysis

2. Describe and differentiate between data aggregation and interpretation metrics

3. Describe and differentiate between exploratory data analysis methods

4. Evaluate and explain the results of data analyses

5. Define and describe the role of artificial intelligence in data analysis

4. Data Visualization and Communication

1. Report data

2. Create visualizations from data

3. Derive conclusions from a data visualization

5. Responsible Analytics Practices

1. Describe data privacy laws and best practices

2. Describe best practices for responsible data handling

3. Given a scenario, describe types of bias that affect collection and interpretation of data

 

Specific Exam Objectives: Certiport - Marketing Resource Library

Examinees are expected to be users who aspire to improve productivity by automating business processes, analyzing data to produce business insights, and acting more effectively by creating simple app experiences.

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For this exam, please expect  37-42 questions to complete within 45 to 60 minutes.

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General Exam Objectives:

Describe the business value of Microsoft Power Platform (15–20%)

• Describe the business value of Microsoft Power Platform services

• Describe the business value of extending business solutions by using Microsoft Power Platform

Manage the Microsoft Power Platform environment (15–20%)

• Describe Microsoft Dataverse

• Describe Microsoft Power Platform administration and governance

Demonstrate the capabilities of Power Apps (25–30%)

• Identify Power Apps capabilities

• Build a canvas app

• Build a model-driven app

Demonstrate the capabilities of Power Automate (15–20%)

• Identify Power Automate components

• Build a Power Automate flow

Demonstrate the capabilities of Power Pages (10–15%)

• Describe the capabilities of Power Pages

• Create a Power Pages site

 

Specific Exam Objectives: Study guide for Exam PL-900: Microsoft Power Platform Fundamentals | Microsoft Learn

This certification is targeted to those looking to familiarize themselves with the fundamentals of security, compliance, and identity (SCI) across cloud-based and related Microsoft services. Examinees should be familiar with Microsoft Azure and Microsoft 365 and want to understand how Microsoft security, compliance, and identity solutions can span across these solution areas to provide a holistic and end-to-end solution.

 

For this exam, please expect  44-52 questions to complete within 45 to 60 minutes.

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General Exam Objectives:

Describe the concepts of security, compliance, and identity (10–15%)

• Describe security and compliance concepts

• Define identity concepts

Describe the capabilities of Microsoft Entra (25–30%)

• Describe function and identity types of Microsoft Entra ID

• Describe authentication capabilities of Microsoft Entra ID

• Describe access management capabilities of Microsoft Entra ID

• Describe identity protection and governance capabilities of Microsoft Entra

Describe the capabilities of Microsoft security solutions (35–40%)

• Describe core infrastructure security services in Azure

• Describe security management capabilities of Azure

• Describe capabilities of Microsoft Sentinel

• Describe threat protection with Microsoft Defender XDR

Describe the capabilities of Microsoft compliance solutions (20–25%)

• Describe Microsoft Service Trust Portal and privacy principles

• Describe compliance management capabilities of Microsoft Purview

• Describe information protection, data lifecycle management, and data governance capabilities of Microsoft Purview

• Describe insider risk, eDiscovery, and audit capabilities in Microsoft Purview

 

Specific Exam Objectives: Study guide for Exam SC-900: Microsoft Security, Compliance, and Identity Fundamentals | Microsoft Learn

Microsoft Certification Fundamentals are stackable certifications that can be grouped into pathways to validate highly demanded technical skills sought after by employers. With a broad range of technical certifications, pathways will open the door to opportunities in the technical industry and throughout the IT field.  For details, please view the Microsoft training and certification guide here.

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