# Large Language Model (LLM)-Based Application Concepts Assessment

## Description
The Large Language Model (LLM)-Based Application Concepts assessment measures the knowledge and skills necessary for entry-level to mid-level information technology professionals to effectively employ Large Language Models within business applications. The test evaluates key areas including Prompt Engineering, API Integration, Context and Conversation Management, Output Handling and Validation, and Tokenization and Cost Management. It also covers topics such as retrieval-augmented generation, model selection, security practices for protecting data submitted to LLM services, and identifying and addressing hallucinations and other output failures that could affect business operations.

The assessment uses Multiple Choice, Multiple Correct Answer, and Essay Composition questions to evaluate candidate skills, with AI-assisted scoring applied to one or more questions. Questions are drawn from a large pool to reduce the risk of cheating, and one or more questions include individual time limits to further deter cheating and improve predictive performance.

## Competencies Measures
- API Integration
- API Integration (Free Text Responses)
- Context and Conversation Management
- Output Handling and Validation
- Prompt Engineering
- Prompt Engineering (Free Text Responses)
- Tokenization and Cost Management

## Metadata
- **Duration:** 16.0 Minutes
- **Language:** English (US)
- **Type:** Skills/Knowledge Assessment (Test)
- **Last Updated:** July 5, 2026

## Catalog Link
View additional details or to administer the assessment to a candidate here:
[View in Online Test Catalog](https://www.hravatar.com/ta/tests/9740/large-language-model-llmbased-application-concepts.html)