Async Job Polling Pattern (POST/GET background job)
The concept provided is undefined and no valid concept name was supplied. Based on the available sources — which cover SAP AI services such as recommendation systems, dataset creation, and machine learning model training — a meaningful definition cannot be accurately scoped or written without a specific concept to define.
Tutorials that teach this
Code samples embodying this
Prerequisites
- Concept Swagger UI API Interaction The concept name was not provided and cannot be determined from the available source snippets, which cover a range of SAP machine learning and data recommendation tutorials. Without a defined concept to describe, a grounded definition cannot be written. Please provide a valid concept name to generate an accurate reference definition.
- Concept Machine Learning Inference **Intelligent Scenario Lifecycle Management (ISLM)** is an SAP BTP capability that enables developers and administrators to manage the full lifecycle of intelligent scenarios — including machine learning models and AI-based predictions — within SAP applications. According to the [official documentation](https://help.sap.com/docs/btp/sap-business-technology-platform/2217809cdb5842bf98211c61a8ef55ca?locale=en-US&state=PRODUCTION&version=Cloud), it provides tooling to govern how intelligent scenarios are deployed, activated, and maintained. Developers use it to operationalize AI scenarios such as sales order completion, service ticket classification, and recommendation models within the SAP ecosystem.
- Concept Document Information Extraction The concept name was not provided, so a precise definition cannot be generated. Based on the available sources, the tutorials collectively cover **SAP Document AI**, a service that uses machine learning and generative AI to extract information from documents such as invoices and purchase orders. Developers use it to automate document processing workflows — for example, building invoice approval processes or enriching business and employee data — and can interact with it through interfaces such as the Basic UI or Swagger UI.
- Concept Inference Request The provided sources do not contain enough grounded information to write a reliable 2–4 sentence definition for an **undefined** concept. The sources reference various SAP AI tutorials and a Generative AI scenario management page, but no specific concept name or description is supplied to define. Please provide a valid concept name and relevant source snippets so an accurate definition can be written.
- Concept Machine Learning Model Training The provided sources do not contain enough information to write a grounded definition for an undefined concept. No concept name or supporting source content was supplied.
- Concept Named Entity Recognition (NER) with Pre-trained Models The concept name is missing or undefined, and the provided sources contain only tutorial titles without any descriptive content to ground a definition. A valid definition cannot be written without a concept name and supporting source snippets that describe it.
- Concept Job Execution Status A job execution status reflects the current state of an application job or a chain of application jobs running on SAP BTP. Developers and administrators use it to monitor whether a job has completed successfully, is still running, or has encountered an error. It is particularly relevant when [restarting job chains](https://help.sap.com/docs/btp/sap-business-technology-platform/61d2d0830f0c45feb4721614bbfee033?locale=en-US&state=PRODUCTION&version=Cloud), as the status determines which steps in the chain need to be re-executed.
- Concept REST API Authentication with OAuth Token The concept provided is **undefined** — no valid concept name was supplied, and the available source snippets do not converge on a single, clearly identifiable SAP developer concept to define. A meaningful definition cannot be responsibly written without a specific concept to describe, as doing so would risk introducing unsupported claims.