Azure Generative AI Applications, Retrieval and Evaluation Practice Test

140 preguntas disponibles

Gana confianza para Azure Generative AI Applications, Retrieval and Evaluation. Practica los conceptos, comprende las respuestas y refuerza tus conocimientos pregunta a pregunta.

Probar una pregunta
Prueba 5 preguntas gratis
No necesitas cuenta. Una cuenta gratuita incluye 20 preguntas de este examen.
140 Preguntas de práctica
2 horas 20 minutos Tiempo de Práctica
Prueba 5 preguntas gratis
No necesitas cuenta. Una cuenta gratuita incluye 20 preguntas de este examen.
El banco 140 Preguntas de práctica verificadas con los objetivos oficiales.
140 preguntas de práctica

Descripción y detalles del examen

Review Azure generative AI application development, prompting, retrieval-augmented generation, model deployment, and evaluation. The questions help people building or checking AI application knowledge consider grounding, output quality, safety, and operational requirements. Administered by Microsoft. Key domains include Azure AI Studio and Model Catalog, Azure OpenAI Service, Prompt Engineering and RAG and AI Solution Development and Deployment.

Preguntas de Muestra

Elige una respuesta y consulta la explicación para ver cómo funciona la práctica.

Implement responsible AI, evaluation, and optimization

An enterprise assistant passes automated quality tests, but support tickets show users misunderstand when answers are generated versus quoted from policy. What product control helps?

Plan and prepare AI solutions on Azure

A product team asks for a chatbot, but user interviews show that employees mostly need structured extraction from invoices. What should the architect recommend?

Plan and prepare AI solutions on Azure

A retail company wants to classify store photos, summarize customer emails, and extract invoice fields. The sponsor asks for one "AI model" to do everything because all three are AI tasks. What is the best planning response?

Deploy Azure OpenAI resources and models

A team needs low-cost summarization of short support chats and high-quality reasoning for escalated legal questions. What deployment strategy best balances cost and quality?

Generate images and multimodal content

A mobile app asks users to upload a room photo and request design suggestions based on visible furniture. The app needs text advice, not a new image. Which capability is the best fit?

Oportunidades profesionales y salario

Salario medio: $120,230mercado de EE. UU.– Data Scientists

Fuente: BLS Occupational Employment and Wage Statistics, May 2025 -- Data Scientists (SOC 15-2051), US national. Occupation median, not a certification salary. (2025)

Data Scientists

Los rangos son cifras del mercado de EE. UU. salvo que se muestre un rango local.

Qué temas cubre este examen

Usa las ponderaciones publicadas de los dominios para planificar tu estudio. Los resultados de práctica no predicen tu puntuación en el examen de certificación.

01Azure AI Studio and Model Catalog

20-30%

Azure AI Studio interface, model catalog, project setup, and AI development environment

02Azure OpenAI Service

20-30%

Azure OpenAI models, deployments, API usage, fine-tuning, and model management

03Prompt Engineering and RAG

20-30%

Prompt engineering techniques, retrieval augmented generation, and prompt flow

04AI Solution Development and Deployment

15-25%

Building, evaluating, and deploying AI solutions using Azure AI services

05Responsible AI and Safety

15-25%

Content safety, responsible AI principles, fairness, reliability, and governance

Preguntas Frecuentes

What kind of practice is this?

Are retrieval and prompting included?

Does the material address responsible AI?