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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Features of generative AI workloads on Azure | 20–25% | - Describe use cases for generative AI - Describe capabilities of Azure OpenAI Service - Describe responsible AI practices for generative AI - Describe generative AI concepts |
| Topic 2: Features of computer vision workloads on Azure | 15–20% | - Describe capabilities of Azure Face - Describe capabilities of Azure Computer Vision - Identify types of computer vision solutions - Describe capabilities of Azure Form Recognizer - Describe capabilities of Azure Custom Vision |
| Topic 3: Features of Natural Language Processing (NLP) workloads on Azure | 15–20% | - Describe capabilities of Azure Language - Identify types of NLP solutions - Describe capabilities of Azure Translator - Describe capabilities of Azure Speech |
| Topic 4: Fundamental principles of machine learning on Azure | 15–20% | - Describe capabilities of Azure Machine Learning - Describe automated machine learning - Describe machine learning pipelines - Describe core concepts of machine learning |
| Topic 5: Artificial Intelligence workloads and considerations | 15–20% | - Describe considerations for developing AI solutions - Describe responsible AI principles - Identify types of AI workloads |
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NEW QUESTION # 334
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:
According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and Microsoft Learn module "Identify features of Computer Vision workloads on Azure", the Custom Vision service is a part of Azure Cognitive Services that allows users to build, train, and deploy custom image classification and object detection models. It is primarily designed for still-image analysis, not video processing.
* "The Custom Vision service can be used to detect objects in an image." - Yes.This is correct. The Custom Vision service supports two major model types: classification (categorizing entire images) and object detection (identifying and locating multiple objects within a single image). In object detection mode, the model outputs both the object's category and its position in the image using bounding boxes.
This capability is emphasized in the AI-900 curriculum as an example of applying computer vision to real-world scenarios, such as identifying products on shelves or detecting equipment parts in manufacturing.
* "The Custom Vision service requires that you provide your own data to train the model." - Yes.This statement is also true. Unlike prebuilt computer vision models, Custom Vision is a trainable model that requires users to upload their own labeled images to create a domain-specific AI model. The model's accuracy depends on the quality and quantity of this user-provided data. The AI-900 study materials explain that Custom Vision is used when prebuilt models do not meet specific needs, enabling businesses to train models tailored to unique image sets.
* "The Custom Vision service can be used to analyze video files." - No.This is incorrect. Custom Vision is limited to image-based analysis. To analyze video content (detecting objects or motion in moving frames), Azure provides Video Indexer, which is a separate service designed for extracting insights from video files, including speech, objects, faces, and emotions.
NEW QUESTION # 335
You have an Azure Machine Learning pipeline that contains a Split Data module. The Split Data module outputs to a Train Model module and a Score Model module. What is the function of the Split Data module?
Answer: C
NEW QUESTION # 336
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 337
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/cognitive-services/Translator/translator-info-overview
https://docs.microsoft.com/en-us/legal/cognitive-services/speech-service/speech-to-text/transparency-note
NEW QUESTION # 338
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:
Reference:
https://docs.microsoft.com/en-us/azure/architecture/reference-architectures/ai/conversational-bot
https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-webchat-overview?view=azure-bot-service-4.0
NEW QUESTION # 339
......
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