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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe features of computer vision workloads on Azure | 15-20% | - Azure AI Vision services
|
| Topic 2: Describe Artificial Intelligence workloads and considerations | 20-25% | - Identify features of common AI workloads
|
| Topic 3: Describe features of generative AI workloads on Azure | 10-15% | - Azure OpenAI and generative services
|
| Topic 4: Describe fundamental principles of machine learning on Azure | 25-30% | - Azure Machine Learning basics
|
| Topic 5: Describe features of natural language processing (NLP) workloads on Azure | 15-20% | - Azure NLP services
|
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NEW QUESTION # 10
You have an Al based loan approval system During testing, you discover that the system has a gender bias.
Which responsible Al principle does this violate?
Answer: D
Explanation:
A loan approval system that shows gender bias violates the Microsoft responsible AI principle of fairness .
Fairness means AI systems should avoid unfair bias and should treat people equitably across demographic groups such as gender, race, age, and other protected or sensitive characteristics.
NEW QUESTION # 11
Hotspot Question
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 12
You plan to develop an AI application that will read the license plates of motor vehicles by using Azure AI Foundry. What should you use to develop the application?
Answer: B
Explanation:
Azure AI Studio (now Azure AI Foundry) is used to develop an AI application for reading license plates using its tools and models. The platform allows developers to build, customize, and deploy AI agents and applications, including those that process images to extract information like license plate numbers.
Key components of the process
Platform: Azure AI Foundry (formerly Azure AI Studio) is the central platform for building and managing AI applications.
Tools: You can use its integrated development environment (IDE), SDKs, and APIs to develop and customize models.
Models: The platform provides access to a wide range of AI models, including computer vision models capable of optical character recognition (OCR), which can be used to read text from images.
Workflow:
Create an Azure AI Foundry project in Azure.
Use the model catalog to find and deploy a suitable computer vision or OCR model.
Integrate the model into your application using the SDK or API.
For a license plate application, you would feed images to the model, and the model would output the recognized text from the license plate.
Reference:
https://azure.microsoft.com/en-us/products/ai-foundry
NEW QUESTION # 13
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
Speech
The correct answer is speech . The scenario specifically describes converting spoken customer requests into written text , which is a speech-to-text , or speech recognition, capability. Microsoft classifies speech as one of the common AI workloads in the current Azure AI Fundamentals study guide. The guide explicitly requires candidates to identify scenarios involving speech and to understand the capabilities of speech recognition and speech synthesis .
Microsoft Azure Speech in Foundry Tools provides speech-to-text functionality that converts audio streams into textual transcriptions. It supports real-time transcription, fast transcription, and batch transcription depending on the workload.
Key phrase extraction analyzes existing text to identify important words or concepts; it does not perform audio transcription. Text analysis covers operations such as sentiment analysis, entity recognition, summarization, and key phrase extraction after text already exists. Natural Language Understanding (NLU) interprets the meaning or intent of language, but the conversion from audio into written words itself is specifically a speech recognition workload .
Study Guide Reference: Identify AI concepts and capabilities # Identify AI workloads # Identify features and capabilities of speech recognition and speech synthesis.
NEW QUESTION # 14
You are developing an application that summarizes customer comments by using Azure Language in Foundry Tools.
You need to install the Azure Language SDK.
Which Python package should you install?
Answer: C
NEW QUESTION # 15
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