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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe AI workloads and considerations | 15-20% | - Identify guiding principles for responsible AI - Identify features of common AI workloads |
| Topic 2: Describe features of computer vision workloads on Azure | 15-20% | - Identify Azure AI services for computer vision - Identify common computer vision tasks - Describe Azure capabilities for computer vision |
| Topic 3: Describe features of Generative AI workloads on Azure | 15-20% | - Identify responsible AI considerations for generative AI - Describe Azure OpenAI Service capabilities - Describe generative AI concepts |
| Topic 4: Describe features of Natural Language Processing (NLP) workloads on Azure | 15-20% | - Describe Azure capabilities for NLP - Identify common NLP tasks - Identify Azure AI services for NLP |
| Topic 5: Describe fundamental principles of machine learning on Azure | 30-35% | - Describe Azure Machine Learning capabilities - Identify common machine learning tasks - Describe features of no-code automated ML - Describe core machine learning concepts |
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NEW QUESTION # 130
You need to predict the sea level in meters for the next 10 years.
Which type of machine learning should you use?
Answer: C
Explanation:
Explanation
In the most basic sense, regression refers to prediction of a numeric target.
Linear regression attempts to establish a linear relationship between one or more independent variables and a numeric outcome, or dependent variable.
You use this module to define a linear regression method, and then train a model using a labeled dataset. The trained model can then be used to make predictions.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression
NEW QUESTION # 131
What is an example of a Microsoft responsible Al principle?
Answer: C
NEW QUESTION # 132
Match the principles of 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 match is worth one point.
Answer:
Explanation:
Explanation:
Graphical user interface, text, application Description automatically generated
NEW QUESTION # 133
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 134
What are two tasks that can be performed by using computer vision? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answer: B,E
Explanation:
According to the Microsoft Azure AI Fundamentals study guide and Microsoft Learn module "Identify features of computer vision workloads", computer vision is an AI workload that allows systems to interpret and understand visual information from the world, such as images and videos.
Computer vision tasks typically include:
* Object detection and image classification (e.g., detecting brands, logos, or items in images)
* Image analysis (e.g., identifying colors, patterns, or visual features)
* Face detection and recognition
* Optical Character Recognition (OCR) for reading text in images
Therefore, both detecting brands and detecting color schemes in an image are clear examples of computer vision tasks because they involve analyzing visual content.
In contrast:
* A. Predict stock prices # Regression task, not vision-based.
* D. Translate text between languages # Natural language processing (NLP).
* E. Extract key phrases # NLP as well.
Thus, the correct computer vision tasks are B and C.
Reference:Microsoft Learn - Identify features and uses of computer vision in Azure AI services
NEW QUESTION # 135
......
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