Exam AI-100: Designing and Implementing an Azure AI Solution Practice Test
Exam AI-100: Designing and Implementing an Azure AI Solution concerns the architecture and development of applications that use Azure AI capabilities. The practice bank includes scenarios on image classification and analysis, language translation, document-grounded chat, secure access to Azure resources, and design choices for managing prompts, sensitive data, and deployment environments.
Exam overview
About the Exam AI-100: Designing and Implementing an Azure AI Solution Exam
The question scenarios call for matching application requirements to suitable Azure services and patterns. Tasks include distinguishing custom image classification with labeled data from image analysis that returns scene descriptions, selecting translation capabilities for user-generated text, and grounding chatbot responses in approved documents. Other scenarios address application security: retrieving credentials through a managed secret store, using managed identities to access Azure resources, and limiting sensitive information sent to a model. Design decisions also include separating development, test, and production environments and updating prompts independently of application deployment. These topics connect AI feature selection with identity, data handling, and maintainable cloud application design; practice by identifying the requirement that drives each choice, then checking whether the proposed service or pattern satisfies it without adding unnecessary complexity.
Sample Practice Questions
Review a selection from this exam's published US Practice Tests practice bank.
A company wants to detect whether an image contains a cat, a dog, or a bicycle using its own labeled dataset. Which approach is most appropriate?
Show answer
Correct answer: BAzure AI Custom Vision is intended for training custom image classification or object detection models from labeled images. That makes it the best choice when you need categories specific to your business problem.
Which Azure AI capability is best suited for translating user-generated text from one language to another?
Show answer
Correct answer: AAzure AI Translator is the Azure service specifically intended for language translation. It can translate text between supported languages and is distinct from speech transcription or document analysis services.
You need to protect an application’s credentials so they can be retrieved at runtime by an Azure service without storing them in code or configuration files. Which service is the best fit?
Show answer
Correct answer: AAzure Key Vault is used to securely store and manage secrets, keys, and certificates. Applications can retrieve these values at runtime instead of hardcoding them.
A team wants to let an application access Azure resources securely without storing a password or client secret in code. Which Azure identity feature is the best choice?
Show answer
Correct answer: AManaged identity lets Azure resources authenticate to other Azure services without storing credentials in application code. Azure manages the identity lifecycle, which reduces secret-handling risk.
You want to build a chatbot that can understand a user's question and return a grounded answer from a small set of approved internal documents. Which Azure AI approach is the best fit?
Show answer
Correct answer: ARetrieval-augmented generation combines a generative model with retrieved source content, which is a strong fit when answers should be based on approved documents rather than model memory alone.
You need an Azure service that can analyze an uploaded image and return a description of what is in the image, such as objects and scene content. Which service should you use?
Show answer
Correct answer: AAzure AI Vision is designed for image analysis tasks such as object detection, image description, and tagging. It is the best fit when you want to understand general image content through an API.
A team is building an AI app that must be easy to update without redeploying the whole application whenever a prompt changes. What is the best design choice?
Show answer
Correct answer: ASeparating prompts and configuration from code makes it easier to iterate safely and manage changes without full redeployment.
How to use this practice test
Access is free. A session draws up to 20 random questions from the 50-question practice bank and displays results when you finish. Use the scenarios to test service selection and design reasoning, then revisit missed questions by identifying which requirement—such as data protection, identity, or model capability—should determine the answer.
Preparation tips
- For image scenarios, distinguish training a classifier on a labeled dataset from analyzing an image for objects, scene content, or a description.
- Compare translation, language understanding, and document-grounded response needs; choose a capability based on the input and the required output.
- Practice mapping credential access to a secret-management service and resource access to a managed identity; avoid embedding secrets in application code or configuration.
- For sensitive-data scenarios, identify which fields the model actually needs and minimize the data sent; consider separate development, test, and production environments when evaluating deployment designs.
- Consider how storing prompts outside application code can support prompt updates without rebuilding and redeploying the full application.