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One of the biggest highlights of the Microsoft Azure AI Fundamentals prep torrent is the availability of three versions: PDF, app/online, and software/pc, each with its own advantages: The PDF version of AI-900 Exam Torrent has a free demo available for download. You can print exam materials out and read it just like you read a paper. The online version of AI-900 test guide is based on web browser usage design and can be used by any browser device. At the same time, the first time it is opened on the Internet, it can be used offline next time. You can practice anytime, anywhere. The Microsoft Azure AI Fundamentals software supports the MS operating system and can simulate the real test environment. The contents of the three versions are the same.
| Section | Weight | Objectives |
|---|---|---|
| Fundamental principles of machine learning on Azure | 15–20% | - Describe machine learning pipelines - Describe capabilities of Azure Machine Learning - Describe automated machine learning - Describe core concepts of machine learning |
| Features of computer vision workloads on Azure | 15–20% | - Describe capabilities of Azure Custom Vision - Describe capabilities of Azure Form Recognizer - Identify types of computer vision solutions - Describe capabilities of Azure Computer Vision - Describe capabilities of Azure Face |
| Features of Natural Language Processing (NLP) workloads on Azure | 15–20% | - Describe capabilities of Azure Translator - Describe capabilities of Azure Language - Identify types of NLP solutions - Describe capabilities of Azure Speech |
| Artificial Intelligence workloads and considerations | 15–20% | - Describe responsible AI principles - Describe considerations for developing AI solutions - Identify types of AI workloads |
| Features of generative AI workloads on Azure | 20–25% | - Describe responsible AI practices for generative AI - Describe capabilities of Azure OpenAI Service - Describe use cases for generative AI - Describe generative AI concepts |
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NEW QUESTION # 131
What should you do to ensure that an Azure OpenAI model generates accurate responses that include recent events?
Answer: C
Explanation:
In Azure OpenAI, grounding refers to the process of connecting the model to external data sources (for example, a database, search index, or API) so that it can retrieve accurate and up-to-date information before generating a response. This is particularly important for scenarios requiring current facts or events, since OpenAI models like GPT-3.5 and GPT-4 are trained on data available only up to a certain cutoff date.
By adding grounding data, the model's responses are "anchored" to factual sources retrieved at runtime, improving reliability and factual accuracy. Grounding is commonly implemented in Azure OpenAI + Azure Cognitive Search solutions (Retrieval-Augmented Generation or RAG).
Option review:
* A. Modify the system message: Changes model tone or behavior but doesn't supply real-time data.
* B. Add grounding data: # Correct - allows access to recent and domain-specific information.
* C. Add few-shot learning: Provides examples in the prompt to improve context understanding but not factual accuracy.
* D. Add training data: Refers to fine-tuning; this requires retraining and doesn't update the model's awareness of current events.
Hence, the best method to ensure accurate and current responses from an Azure OpenAI model is to add grounding data, enabling the model to reference real, updated sources dynamically.
NEW QUESTION # 132
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-manage-channels?view=azure-bot-service-4.0 All 3 are correct as they are the different channels to connect with a bot Office 365 email - Enable a bot to communicate with users via Office 365 email.
Microsoft Teams - Configure a bot to communicate with users through Microsoft Teams.
Web Chat - Automatically configured for you when you create a bot with the Bot Framework Service.
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-manage-channels?view=azure-bot-service-4.0
NEW QUESTION # 133
What should you use to identify similar faces in a set of images?
Answer: A
Explanation:
The correct service to identify similar faces in a set of images is Azure AI Vision, which includes the Face API capability. According to the Microsoft Learn module "Analyze images with Azure AI Vision", this service provides prebuilt models for face detection, facial recognition, and similarity matching.
The Face API can detect individual faces in images and extract unique facial features to create a face embedding (a numerical representation of the face). It then compares these embeddings across multiple images to determine whether faces are similar or belong to the same person. This functionality is commonly used in identity verification, photo management systems, and security solutions.
The other options are incorrect:
* B. Azure AI Custom Vision is used for custom image classification or object detection but does not provide face similarity or recognition features.
* C. Azure AI Language processes text-based data (sentiment, entities, key phrases) - not visual content.
* D. Azure OpenAI Service focuses on text generation, summarization, and conversation, not facial analysis.
Therefore, the Microsoft-verified service for identifying similar faces across images is A. Azure AI Vision.
NEW QUESTION # 134
Match the Microsoft guiding principles for responsible AI to the appropriate descriptions.
To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 135
For each of the following statements. select Yes if the statement is true. Otherwise, select No. NOTE; Each correct selection is worth one point
Answer:
Explanation:
Explanation:
NEW QUESTION # 136
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