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Build Java applications that detect unusual patterns in time-series data with Azure AI Anomaly Detector. Covers single measurements, related signals, trend changes, model training, and checking detection results.

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• Detect unusual values in a single time series
• Check the latest incoming measurement for anomalies
• Find changes in time-series trends

Build TypeScript code for Azure AI Foundry projects using its SDK, a library for accessing project services. Create and run agents, inspect connections and deployed models, and manage datasets and search indexes.

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• Creating and running agents in TypeScript
• Adding file search or external tools to agents
• Inspecting project connections and deployed models

Help implement Azure OpenAI features in C# and .NET applications using SDK examples. Cover authentication, chat, document-backed answers, image generation, and audio processing, including transcription and speech generation.

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• Adding streaming chat to a .NET application
• Generating JSON responses in a defined format
• Building answers backed by Azure AI Search

Build Java applications that store, query, update, and delete data in Azure Cosmos DB. Covers synchronous and asynchronous clients, partition keys for distributing data, consistency settings, request usage, and error handling.

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• Implementing database operations in a Java application
• Building asynchronous data processing
• Reviewing partition keys and consistency settings

Implement Python services for Azure Cosmos DB NoSQL with guidance for authentication, data models, database operations, and tests. Separate business logic from storage access, validate data access permissions, and use reusable templates for consistent implementation.

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• Adding Cosmos DB storage to a FastAPI application
• Separating database access from business logic
• Configuring Azure and local emulator authentication

Helps build Python workflows that extract information from documents, images, audio, and video using Azure AI Content Understanding. Covers document text, timed transcripts, video frames, and invoice fields for search and automated processing.

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• Preparing document content for AI search
• Transcribing audio with timestamps
• Extracting transcripts and key frames from video

Build Python AI applications on Microsoft Foundry with azure-ai-projects. Provides examples for creating agents, connecting tools, managing conversations and project resources, and running evaluations through Foundry and OpenAI-compatible clients.

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• Build an agent that searches uploaded documents
• Implement conversation threads and response handling
• List model deployments and project connections

Build Python image analysis with Azure AI Vision to generate captions and tags, locate objects and people, and extract text using OCR, or optical character recognition. It also provides suggested crop regions.

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• Generate image captions and content tags
• Extract text from images
• Locate objects and people in photos

Implement .NET workflows for Azure AI Foundry projects, including agent creation, resource connections, dataset uploads, model deployment inspection, search index management, and evaluations. Examples also cover authentication, asynchronous operations, and resource cleanup.

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• Creating and running agents from a .NET application
• Inspecting resource connections and model deployments
• Uploading datasets and managing search indexes

Helps build AI agents in .NET with persistent conversation threads. Covers messages, execution status, streaming responses, document search, and custom function calls using Azure.AI.Agents.Persistent, with examples for creating agents and cleaning up resources.

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• Build an AI assistant that retains conversation threads
• Answer questions using uploaded documents
• Connect an agent to custom functions

Use Azure's Python transcription client to turn audio files into text and review timestamped results. Covers authentication, installed SDK options, and error handling, while clarifying when streaming or asynchronous batch work needs a different Speech API.

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• Transcribe a local recording with consent
• Review timestamped transcription output
• Check authentication and installed SDK options

Integrate harmful-content checks into Python applications using Azure AI Content Safety. Analyze text and images by category and severity, and manage custom text blocklists to help review user submissions or AI-generated content before display.

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• Checking user-submitted text for harmful content
• Analyzing harmful-content categories in uploaded images
• Reviewing AI-generated text before displaying it

Implement Azure Cosmos DB data operations in JavaScript or TypeScript with @azure/cosmos. Covers creating, querying, updating, and deleting documents, plus bulk operations, container setup, and checks that prevent concurrent changes from overwriting each other.

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• Implement document creation, retrieval, updates, and deletion
• Build filtered queries with pagination
• Process multiple document operations in bulk

Implement Azure Cosmos DB document operations in Rust using its NoSQL SDK. The skill covers authentication, database and container clients, creating and reading records, replacing or patching fields, and deleting items with partition keys.

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• Connecting a Rust application to Azure Cosmos DB
• Creating and reading documents
• Replacing documents or patching selected fields

Build Java applications that extract text, tables, and fields from documents using Azure AI Document Intelligence. Covers ready-made models for invoices and receipts, custom model creation, document classification, authentication, and error handling.

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• Extract text and tables from PDFs
• Read invoice and receipt fields
• Build models for custom document formats

Build server-side calling workflows in Java with Azure Communication Services. Implement automated phone menus, incoming and outgoing calls, transfers, recording, spoken prompts, and recognition of speech or keypad input, with examples for handling call events.

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• Building automated phone menus in Java
• Routing incoming calls to another number
• Adding spoken prompts and keypad or speech input

Build Java applications that store and manage records in Azure Table Storage or Cosmos DB Table API. It guides creating tables, adding and updating records, filtering queries, and grouping changes into transactions that succeed or fail together.

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• Implement product record creation, updates, and deletion
• Filter records and retrieve only the required fields
• Update records together within the same partition

Helps implement centralized settings management in Java with Azure App Configuration. Covers environment-specific settings, feature flags that control feature availability, and snapshots that preserve settings at a particular point in time.

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• Manage settings separately for development and production
• Configure feature flags for gradual rollouts
• Preserve release settings in snapshots

Build Python code for Azure Cosmos DB's NoSQL API to create, read, update, delete, and query documents. Covers authentication, containers for storing data, partition keys for distributing records, throughput settings, asynchronous operations, and error handling.

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• Implementing document operations in Python
• Writing parameterized queries for filtered searches
• Configuring containers, partition keys, and throughput

Build chat features in Java with Azure Communication Services. The skill guides conversation thread creation, message sending and editing, participant management, read receipts, and typing notifications, with examples for authentication, pagination, and error handling.

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• Adding chat features to a Java application
• Managing participants and shared message history
• Implementing read receipts and typing notifications

Helps build Python workflows for translating Word, PDF, Excel, PowerPoint, and other documents while preserving formatting. Covers Azure batch translation, multiple target languages, terminology glossaries, and checks for job progress and document errors.

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• Translating batches of documents while preserving formatting
• Translating documents into multiple languages
• Applying a glossary for specialized terminology

Manage container images in Azure Container Registry using Python. Inspect repositories, tags, and image metadata, protect images from deletion, download image data, and identify older untagged images for cleanup.

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• Inspect image tags and metadata
• Protect production images from deletion
• Clean up older untagged images

Implement Java workflows for Azure AI Foundry projects using SDK examples for authentication, connected resources, datasets, search indexes, and model evaluations. The skill also covers client setup, paginated resource lists, and error handling.

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• List connected Azure resources
• Create or update search indexes
• Implement access to model evaluations

Build and maintain an inventory of hardware, software, and cloud resources. Use guidance on automated discovery, ownership records, tagging checks, and integration with a configuration database to support operations and audit preparation.

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• Defining fields for an IT asset inventory
• Planning resource discovery across AWS, Azure, and GCP
• Checking ownership and cost allocation tags