Exam Name: Microsoft Azure AI Fundamentals
Certification Provider: Microsoft
Corresponding Certification: Microsoft Certified: Azure AI Fundamentals
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Microsoft AI-900 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Artificial Intelligence workloads and considerations | 15–20% | - Describe considerations for developing AI solutions - Describe responsible AI principles - Identify types of AI workloads |
| Features of computer vision workloads on Azure | 15–20% | - Describe capabilities of Azure Custom Vision - Describe capabilities of Azure Form Recognizer - Describe capabilities of Azure Computer Vision - Describe capabilities of Azure Face - Identify types of computer vision solutions |
| Features of Natural Language Processing (NLP) workloads on Azure | 15–20% | - Describe capabilities of Azure Speech - Describe capabilities of Azure Translator - Identify types of NLP solutions - Describe capabilities of Azure Language |
| Features of generative AI workloads on Azure | 20–25% | - Describe generative AI concepts - Describe responsible AI practices for generative AI - Describe use cases for generative AI - Describe capabilities of Azure OpenAI Service |
| Fundamental principles of machine learning on Azure | 15–20% | - Describe automated machine learning - Describe machine learning pipelines - Describe core concepts of machine learning - Describe capabilities of Azure Machine Learning |
Microsoft Azure AI Fundamentals Sample Questions:
You need to build an app that will read recipe instructions aloud to support users who have reduced vision.
Which version service should you use?
- A. Speech
- B. Language Understanding (LUIS)
- C. Text Analytics
- D. Translator Text
Correct Answer: A 🗳️
Explanation: Only visible for PassLeader members. You can sign-up / login (it's free).
Which AI service can you use to interpret the meaning of a user input such as "Call me back later?"
- A. Speech
- B. Language Understanding (LUIS)
- C. Text Analytics
- D. Translator Text
Correct Answer: B 🗳️
Explanation: Only visible for PassLeader members. You can sign-up / login (it's free).
You have a dataset that contains sales data and has defined labels for types of customers. You need to create a model to categorize customer types based on sales data. Which type of machine learning should you use?
- A. Classification
- B. Regression
- C. Clustering
Correct Answer: A 🗳️
Select the answer that correctly completes the sentence.
Correct Answer:
Explanation:
During model training, a portion of the dataset (commonly 70-80%) is used to teach the machine learning algorithm to identify patterns and relationships between input features and the output label. The remaining data (usually 20-30%) is held back to evaluate the model's performance and verify its accuracy on unseen data. This ensures the model is not overfitted (too tightly fitted to training data) and can generalize well to new inputs.
Key steps highlighted in Microsoft Learn materials:
* Model Training: Use the training data to fit the model - the algorithm learns relationships between input features and labels.
* Model Evaluation: Use the test or validation data to assess the accuracy, precision, recall, or other metrics of the trained model.
* Model Deployment: Once validated, the model is deployed to make real-world predictions.
Other options explained:
* Feature engineering: Involves preparing and transforming input data, not splitting datasets for training and testing.
* Time constraints: Not a machine learning process step.
* Feature stripping: Not a recognized ML concept.
* MLflow models: Refers to an open-source tool for tracking and managing models, not dataset splitting or training.
Thus, when you use a portion of the dataset to prepare and train a machine learning model, and retain the rest to verify results, the process is known as model training.
You need to develop a chatbot for a website. The chatbot must answer users questions based on the information m the following documents
* A product troubleshooting guide m a Microsoft Word document
* A frequently asked questions (FAQ) list on a webpage
Which service should you use to process the documents?
- A. QnA Maker
- B. Text Analytics
- C. Azure Bot Service
- D. Language Undemanding
Correct Answer: A 🗳️
Explanation: Only visible for PassLeader members. You can sign-up / login (it's free).
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