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| Topic | Details |
|---|---|
Describe Artificial Intelligence workloads and considerations (20-25%) | |
| Identify features of common AI workloads | - identify features of anomaly detection workloads - identify computer vision workloads - identify natural language processing workloads - identify knowledge mining workloads |
| Identify guiding principles for responsible AI | - describe considerations for fairness in an AI solution - describe considerations for reliability and safety in an AI solution - describe considerations for privacy and security in an AI solution - describe considerations for inclusiveness in an AI solution - describe considerations for transparency in an AI solution - describe considerations for accountability in an AI solution |
Describe fundamental principles of machine learning on Azure (25-30%) | |
| Identify common machine learning types | - identify regression machine learning scenarios - identify classification machine learning scenarios - identify clustering machine learning scenarios |
| Describe core machine learning concepts | - identify features and labels in a dataset for machine learning - describe how training and validation datasets are used in machine learning |
| Describe capabilities of visual tools in Azure Machine Learning studio | - automated machine learning - azure Machine Learning designer |
Describe features of computer vision workloads on Azure (15-20%) | |
| Identify common types of computer vision solution | - identify features of image classification solutions - identify features of object detection solutions - identify features of optical character recognition solutions - identify features of facial detection, facial recognition, and facial analysis solutions |
Holding a Microsoft Azure AI Fundamentals AI-900 Certification in a certain field definitely shows that one have a good command of the AI-900 knowledge and professional skills in the related field. However, it is universally accepted that the majority of the candidates for the Microsoft Azure AI Fundamentals exam are those who do not have enough spare time and are not able to study in the most efficient way.
NEW QUESTION # 125
Match the types of machine learning to the appropriate scenarios.
To answer, drag the appropriate machine learning type from the column on the left to its scenario on the right.
Each machine learning type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
1- Regression
2- Clustering
3- Classification
NEW QUESTION # 126
Which two languages can you use to write custom code for Azure Machine Learning designer? Each correct answer presents a complete solution.
NOTE; Each correct selection is worth one point.
Answer: A,B
Explanation:
According to the Microsoft Learn module "Describe features of Azure Machine Learning" and the AI-900 study guide, Azure Machine Learning designer supports extending workflows through custom code modules written in Python and R.
* Python is the most commonly used language for AI and machine learning due to its extensive library support (such as TensorFlow, Scikit-learn, and PyTorch).
* R is widely used for statistical computing and data visualization, making it valuable for analytical workloads.
In Azure Machine Learning, users can insert Python Script or Execute R Script modules within the visual designer to perform advanced operations or custom data transformations.
C# and Scala are not supported directly in Azure Machine Learning Designer. C# is more common in application development, and Scala is primarily used in big data frameworks like Apache Spark.
Hence, the correct answers are C. Python and D. R.
NEW QUESTION # 127
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/cloud-adoption-framework/innovate/best-practices/trusted-ai
NEW QUESTION # 128
You are designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments.
This is an example of which Microsoft guiding principle for responsible AI?
Answer: A
Explanation:
Explanation
Inclusiveness: At Microsoft, we firmly believe everyone should benefit from intelligent technology, meaning it must incorporate and address a broad range of human needs and experiences. For the 1 billion people with disabilities around the world, AI technologies can be a game-changer.
Reference:
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles
NEW QUESTION # 129
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
Explanation:
Natural language processing (NLP) is used for tasks such as sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization.
Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing
NEW QUESTION # 130
......
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