Sample chapters

Active Directory

• By Orin ThomasFeb 25, 2026

Containerization with Docker

• By Dawid BoryckiFeb 25, 2026

Getting to know Python in Excel

• By Liam Bastick, Kathryn NewittFeb 25, 2026

Implement a secure environment

• By Craig ZackerFeb 25, 2026

Introducing the filter context and CALCULATE

• By Alberto Ferrari, Marco RussoFeb 25, 2026

Manage and maintain devices

• By Andrew Bettany, Andrew WarrenFeb 25, 2026

My first visual calculation

• By Marc Lelijveld, Madzy Stikkelorum, Jeroen ter HeerdtFeb 25, 2026

Setting up Power BI

• Feb 25, 2026

Creating a basic pivot table

• By Bill JelenFeb 17, 2025

Writing effective prompts for Copilot

• By Lisa CrosbieFeb 17, 2025

Combining Data from Multiple Sources

• By Daniil Maslyuk, Gil RavivDec 27, 2024

Explore data and train models

• By Dayne SorvistoDec 27, 2024

Secure Azure Networks

• By Yuri Diogenes, Orin ThomasDec 27, 2024

Data Aggregation

• By Mark Morowczynski, Rod Trent, Matthew ZorichAug 5, 2024

• A strength of Kusto Query Language (KQL) is data aggregation. In this sample chapter, you will learn how to turn data into actionable insight and visualize data with graphs and charts. You will perform common statistical analysis on data such as counting totals, distinct counts, and the first and last time an event takes place.

Develop for Azure storage

• By Santiago Fernandez MunozAug 5, 2024

• Data storage systems must be designed with geography, latency, and cost efficiency in mind. Microsoft Azure offers cloud-based storage solutions with these points in mind. In this sample chapter, you will learn how to develop solutions that use Cosmos DB and Blob Storage. Exam AZ-204 topics covered include 2.1 and 2.2.

Implement and manage storage

• By Charles PlutaAug 5, 2024

• Azure Storage is the underlying storage for most of the services in Azure. This chapter reviews how to implement and manage storage with an emphasis on Azure storage accounts. Skills 2.1 to 2.3 are covered from Exam AZ-104.

Microsoft identity and access management solutions

• By Yuri Diogenes, Nicholas DiCola, Kevin McKinnerney, Mark MorowczynskiAug 5, 2024

• Understanding identity concepts and capabilities is a requirement for properly achieving security and compliance in your organization. In this sample chapter, you will learn the authentication, access management, and governance capabilities of Microsoft Entra ID as you work through Exam SC-900 Skills 2.1 to 2.4.

Prepare and serve data

• By Daniil Maslyuk, Stepan Resl, Johnny WinterAug 5, 2024

• The data preparation process should be done with the most efficient means possible, ensuring optimal usage of your Microsoft Fabric resources. In this sample chapter, you will learn to create objects in a lakehouse or warehouse, copy and transform data, and optimize performance. Skills 2.1 to 2.4 from Exam DP-600 are covered.

Core prompt learning techniques

• By Francesco EspositoApr 17, 2024

• Read this sample chapter from Programming Large Language Models with Azure Open AI. In Generative AI and software development, prompt learning techniques play a crucial role in conversational programming and involve the strategic design of prompts, which are then used to draw out desired responses from large language models (LLMs). You may end up with prompts that only partially address the very specific domain requests. This is where the need for fine-tuning emerges.

Describe Microsoft 365 apps and services

• By Craig ZackerApr 17, 2024

• In this sample chapter from Exam Ref MS-900 Microsoft 365 Fundamentals, 2nd Edition, you will learn the core productivity solutions of Microsoft 365, including Outlook and OneDrive, as well as endpoint modernization, management concepts, and deployment options in Microsoft 365. This chapter covers exam skills 2.1-2.4.