Free Certification Practice Questions

Validates the skills needed to implement, manage, monitor, and secure an organization's Microsoft Azure environment, including identities, governance, storage, compute, networking, backup, and operational monitoring.

Validates the skills needed to design, build, test, secure, monitor, and maintain cloud applications and services on Microsoft Azure, including compute, storage, security, monitoring, APIs, messaging, and event-driven integrations.

Validates the skills needed to implement security controls, maintain security posture, and identify and remediate vulnerabilities across Azure, hybrid, and multi-cloud environments, including identity, networking, compute, storage, databases, governance, threat protection, and security operations.

Validates the skills needed to plan, build, manage, and deploy AI apps and agentic solutions on Azure by using Microsoft Foundry, including generative AI, multimodal and vision workloads, text and speech solutions, retrieval and grounding pipelines, and information extraction.

Validates the skills needed to implement, manage, secure, monitor, optimize, automate, and maintain Microsoft Azure SQL and SQL Server database solutions across cloud, on-premises, and hybrid environments, including migration and HA/DR planning.

Validates the skills needed to design, implement, and maintain Azure networking solutions, including core network infrastructure, hybrid connectivity, application delivery, private access to Azure services, and network security for performance, resiliency, scale, and secure operations.

Validates the skills needed to design, create, and manage analytical assets in Microsoft Fabric, including preparing data, securing and maintaining analytics assets, and implementing and optimizing semantic models for enterprise-scale analytics solutions.

Validates the skills needed to implement data engineering solutions in Microsoft Fabric, including ingesting and transforming data, securing and managing analytics solutions, and monitoring and optimizing data engineering workloads for enterprise-scale analytics.

Validates the ability to design, implement, and operate identity and access management solutions by using Microsoft Entra, including user and external identities, authentication and access management, workload identities, and identity governance across hybrid and cloud environments.

Validates the ability to manage a security operations environment, respond to incidents, and perform threat hunting by using Microsoft Defender XDR, Microsoft Sentinel, Microsoft Defender for Cloud, Microsoft Purview, Microsoft Entra ID, Kusto Query Language, and automation across multi-cloud and on-premises environments.

Validates the ability to design, implement, and operate AI operations solutions on Azure by building MLOps infrastructure with Azure Machine Learning, managing model training, deployment, and monitoring lifecycles, implementing GenAIOps infrastructure with Microsoft Foundry, and optimizing generative AI quality, observability, and model performance by using GitHub Actions, Bicep, and Azure CLI.

Validates the ability to plan, build, extend, integrate, test, and manage enterprise-grade AI agent solutions by using Microsoft Copilot Studio, Power Platform, Microsoft 365 Copilot, and Azure-connected services.

Validates the ability to design, develop, test, and troubleshoot Microsoft Power Platform solution components by creating technical designs, building solutions, improving Power Apps, extending the user experience and platform, and developing integrations using Dataverse, Power Automate, developer tools, and Azure services.

Validates the ability to deliver actionable insights by preparing, modeling, visualizing, and analyzing data in Power BI and by managing and securing Power BI assets to enable business value and self-service analytics.

Validates the ability to integrate and model data, build and deploy optimized pipelines, and troubleshoot and maintain workloads in Azure Databricks by setting up Azure Databricks environments, securing and governing Unity Catalog objects, preparing and processing data, and deploying and maintaining data pipelines and workloads with SQL, Python, Git, Azure Data Factory, Microsoft Entra, and Azure Monitor.

Validates the ability to design and develop AI-enabled database solutions across Microsoft SQL platforms, including Microsoft SQL Server, Azure SQL, and SQL databases in Microsoft Fabric, by building database objects and advanced T-SQL solutions, securing and deploying SQL solutions with CI/CD and Azure integrations, and implementing AI capabilities such as embeddings, vector search, hybrid search, and retrieval-augmented generation.

This certification validates your ability to design, implement, and manage end-to-end security controls across Azure, hybrid, and AI-enabled environments to protect identities, data, applications, infrastructure, and maintain regulatory compliance.

Validates the ability to design, build, and implement AI solutions on Azure, with a focus on back-end services, scalable architectures, and the full development lifecycle, including containerized applications, Azure data services, eventing and messaging integration, security, monitoring, and troubleshooting.