Mock sample for your project: ContainerServiceClient API

The Storage Import/Export Resource Provider API.

The Container Service Client.

REST API for MarketplaceOrdering Agreements.

Update location operation endpoints and objects.

The Container Service Client.

The service for managing third party addons.

The Admin Subscriptions Management Client.

Azure Digital Twins Client for managing DigitalTwinsInstance

These are the Network Experiment APIs.

File share operation endpoints and objects.

Use these APIs to manage Azure CDN resources through the Azure Resource Manager. You must make sure that requests made to these resources are secure.

Specification for ManagedServices.

Azure software plans let users create and manage licenses for various software used in Azure.

Provides read, delete, and failover functionality for Azure SQL Database replication links.

Client that can be used to query an index and upload, merge, or delete documents.

REST API for Azure SignalR Service

AWS Lake Formation Defines the public endpoint for the AWS Lake Formation service.

The Application Migration Service service.

The Azure SQL Database management API provides a RESTful set of web APIs that interact with Azure SQL Database services to manage your databases. The API enables users to create, retrieve, update, and delete databases, servers, and other entities.

The Azure SQL Database management API provides a RESTful set of web APIs that interact with Azure SQL Database services to manage your databases. The API enables users to create, retrieve, update, and delete databases, servers, and other entities.

A client for issuing REST requests to the Azure Batch service.

Amazon Timestream is a fast, scalable, fully managed time series database service that makes it easy to store and analyze trillions of time series data points per day. With Timestream, you can easily store and analyze IoT sensor data to derive insights from your IoT applications. You can analyze industrial telemetry to streamline equipment management and maintenance. You can also store and analyze log data and metrics to improve the performance and availability of your applications. Timestream is built from the ground up to effectively ingest, process, and store time series data. It organizes data to optimize query processing. It automatically scales based on the volume of data ingested and on the query volume to ensure you receive optimal performance while inserting and querying data. As your data grows over time, Timestream’s adaptive query processing engine spans across storage tiers to provide fast analysis while reducing costs.