Ends in
00
days
00
hrs
00
mins
00
secs
ENROLL NOW

⚡Get Extra 10% OFF our Practice Exams + eBook Bundle for as low as $14.84 ONLY!

azure cheat sheet

Home » azure cheat sheet

Microsoft Bot Framework

2025-08-02T08:32:09+00:00

Microsoft Bot Framework Cheat Sheet Powered by Azure AI Bot Service A comprehensive framework for building intelligent, enterprise-grade conversational AI experiences across multiple channels. Enables natural language understanding, multi-turn dialogues, and proactive messaging for a seamless conversational experience. Integrates natively with Azure AI services like Azure AI Language, Azure AI Speech, and Azure OpenAI for enhanced bot intelligence. Supports deployment across channels including Microsoft Teams, Web Chat, Facebook Messenger, Slack, and custom clients via Direct Line. Important Terminologies Bot A conversational application that interacts with users through text, cards, or speech to perform tasks or provide information.. Activity The basic [...]

Microsoft Bot Framework2025-08-02T08:32:09+00:00

Microsoft Copilot for Security

2025-08-02T08:32:28+00:00

Microsoft Copilot for Security Cheat Sheet An AI-powered cybersecurity assistant that helps security teams investigate, respond to threats, and manage risks more efficiently. Built on Microsoft’s security stack and large language models, it enhances analyst workflows with natural language understanding. Reduces time to resolution by summarizing incidents, generating KQL/PowerShell scripts, and providing guided response actions. Delivers real-time threat analysis and contextual insights via embedded Copilot experiences or standalone chat. Integrates with Defender XDR, Sentinel, Intune, Entra, Purview, Defender for Cloud, and third‑party plugins to provide unified analysis and response. Key Features Incident summarization & triage Automatically generates actionable summaries of [...]

Microsoft Copilot for Security2025-08-02T08:32:28+00:00

Microsoft Purview

2025-07-31T02:12:21+00:00

Microsoft Purview Cheat Sheet Unified data governance platform that enables organizations to manage data across on-premises, multi-cloud, and SaaS environments. It facilitates the discovery, classification, cataloging, and governance of the enterprise. Integrates with Azure, Microsoft 365, Power BI, and other platforms. Core Capabilities Data Discovery & Classification Automatically scans and classifies data using built-in and custom classifiers. Supports sensitive data types like PII, financial records, and health information. Data Catalog Centralized metadata repository. Enables search and exploration of data assets with lineage and glossary support. Data Map Automatically builds a map of data assets across hybrid environments. Continuously updates via [...]

Microsoft Purview2025-07-31T02:12:21+00:00

Azure Pipelines

2025-07-31T08:59:40+00:00

Azure Pipelines Cheat Sheet A cloud-based platform for automating code build, test, and deployment workflows using CI/CD pipelines. Automates software delivery across development, test, and production environments. Works with multiple languages and platforms (e.g., .NET, Java, Node.js, Python). Integrates with GitHub, Azure Repos, Bitbucket, and other Git providers. Supports both YAML (as code) and visual designer for pipeline configuration. Azure Pipelines Key Features Cross-platform support Build and deploy applications on Windows, Linux, and macOS. Choose between Microsoft-hosted or self-hosted agents depending on your environment needs. Language-agnostic execution Supports a wide range of languages such as .NET, Java, Python, Node.js, and [...]

Azure Pipelines2025-07-31T08:59:40+00:00

Azure OpenAI

2025-07-01T08:41:06+00:00

Azure OpenAI Cheat Sheet Azure OpenAI offers access to OpenAI’s powerful models (e.g., GPT-4o, GPT-4 Turbo, GPT-3.5 Turbo, DALL-E, Whisper) with robust security and compliance for enterprises. Hosted on Microsoft Azure, allows for seamless integration with various Azure services and tools. Key Concepts Model Deployment: You must deploy a model (e.g., gpt-4, gpt-35-turbo) to your Azure resource before using it. Quota Types: Dynamic Quota: Shared pool for flexible consumption. Provisioned Throughput Units (PTUs): Dedicated capacity for predictable performance. Content Filtering: Built-in safety system to detect and block harmful content. Prompt Engineering: Crafting effective prompts to guide model behavior. Supported Models [...]

Azure OpenAI2025-07-01T08:41:06+00:00

Azure Blob Storage

2024-03-01T03:54:06+00:00

Azure Blob Storage Cheat Sheet Objects in Blob Storage are accessible via: Azure Storage REST API Azure Powershell CLI Types of Storage Account Type Performance Tier Best used for General-Purpose v2 Standard Most scenarios use Blob Storage or one of the other Azure storage services. Block Blob Premium High transaction rates or that use smaller objects or require consistently low storage latency. Page Blob Premium Storing text or binary files, for uploading large files efficiently.   Moving Data to Blob Storage 1. Azure Storage Data movement library a. NET library for moving data between Azure Storage Services. 2. Azure Data [...]

Azure Blob Storage2024-03-01T03:54:06+00:00

Microsoft Entra ID

2024-02-20T15:10:02+00:00

Bookmarks Features Concepts Monitoring Microsoft Entra Directory Security Microsoft Entra ID Cheat Sheet An identity and access management service that helps you access internal and external resources. Microsoft Entra licenses: Free, Premium P1, Premium P2 and Pay as you go Free – user and group management in your on-premises directory Premium P1 – allows access to both on-premises and cloud resources. Premium P2 – provides an additional feature called Microsoft Entra Identity Protection. Pay as you go – offers a feature called Azure AD B2C. Features You can use Microsoft Entra Authentication for [...]

Microsoft Entra ID2024-02-20T15:10:02+00:00

Data Concepts in Azure Machine Learning

2023-08-14T03:18:24+00:00

Azure Machine Learning Data Concepts URI A Uniform Resource Identifier (URI) represents a storage location on a local computer, Azure storage, or a publicly available http(s) location. URIs can be used as inputs or outputs to an Azure Machine Learning job and can be mapped to the compute target filesystem in different modes: read-only mount, read-write mount, download, or upload. URIs use identity-based authentication to connect to storage services, with options for Azure Active Directory ID or Managed Identity. Data types Azure Machine Learning supports three data types: File, Folder, and Table. File: References a single file and can have [...]

Data Concepts in Azure Machine Learning2023-08-14T03:18:24+00:00

Azure Applied AI Services: Computer Vision and NLP Workloads on Azure

2023-12-05T11:19:18+00:00

Computer Vision on Azure involves the use of Azure AI Services and related tools to analyze and understand visual content, such as images and videos. The goal is to enable computers to interpret and extract valuable information from visual data. Computer Vision Workloads on Azure: Azure AI Services Azure AI Services that analyzes and understands images and videos. It provides features like object detection, image recognition, image tagging, and OCR. Developers can extract insights from visual data and perform tasks like detecting objects and extracting text from images. Computer Vision simplifies the development of applications with advanced visual analysis capabilities [...]

Azure Applied AI Services: Computer Vision and NLP Workloads on Azure2023-12-05T11:19:18+00:00

Automated Machine Learning (AutoML) in Azure

2023-12-05T11:45:14+00:00

Automated machine learning, known as automated ML or AutoML, streamlines the tasks involved in developing machine learning models by automating repetitive tasks. Azure Machine Learning provides the Python SDK, allowing you to leverage the power of AutoML. Applications of AutoML It simplifies the machine learning model development process, allowing users to implement ML solutions without extensive programming knowledge. Classification Identifies data points into categorical labels Precision is the ratio of correctly predicted positive observations to the total predicted positives. It measures a model's accuracy in making positive predictions. Confidence refers to the probability assigned to a model's prediction, indicating its [...]

Automated Machine Learning (AutoML) in Azure2023-12-05T11:45:14+00:00

AWS, Azure, and GCP Certifications are consistently among the top-paying IT certifications in the world, considering that most companies have now shifted to the cloud. Upskill and earn over $150,000 per year with an AWS, Azure, or GCP certification!

Follow us on LinkedIn, Facebook, or join our Slack study group. More importantly, answer as many practice exams as you can to help increase your chances of passing your certification exams on your first try!