DOWNLOAD the newest Prep4pass AI-900 PDF dumps from Cloud Storage for free: https://drive.google.com/open?id=1_qysRaL15w1BJKj1dfl6yKmzW-JgERag
Prep4pass provides actual to help candidates pass on the first try, ultimately saving them time and resources. These questions are of the highest quality, ensuring success for those who use them. To achieve success, it's crucial to have access to quality Microsoft AI-900 Exam Dumps and to prepare for the likely questions that will appear on the exam. Prep4pass helps candidates overcome any difficulties they may face in exam preparation, with a 24/7 support team ready to assist with any issues that may arise.
| Section | Weight | Objectives |
|---|---|---|
| Describe features of Generative AI workloads on Azure | 15-20% | - Describe Azure OpenAI Service capabilities - Describe generative AI concepts - Identify responsible AI considerations for generative AI |
| 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 |
| Describe fundamental principles of machine learning on Azure | 30-35% | - Describe core machine learning concepts - Identify common machine learning tasks - Describe Azure Machine Learning capabilities - Describe features of no-code automated ML |
| Describe AI workloads and considerations | 15-20% | - Identify features of common AI workloads - Identify guiding principles for responsible AI |
| 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 |
For candidates who are searching for AI-900 training materials for the exam, the quality of the AI-900 exam dumps must be your first concern. Our AI-900 exam materials can reach this requirement. With a professional team to collect the first-hand information of the exam, we can ensure you that the AI-900 Exam Dumps you receive are the latest information for the exam. Moreover, we also pass guarantee and money back guarantee, if you fail to pass the exam, we will refund your money, and no other questions will be asked.
NEW QUESTION # 180
Match the machine learning tasks to the appropriate scenarios.
To answer, drag the appropriate task from the column on the left to its scenario on the right. Each task may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Model evaluation
The Model evaluation module outputs a confusion matrix showing the number of true positives, false negatives, false positives, and true negatives, as well as ROC, Precision/Recall, and Lift curves.
Box 2: Feature engineering
Feature engineering is the process of using domain knowledge of the data to create features that help ML algorithms learn better. In Azure Machine Learning, scaling and normalization techniques are applied to facilitate feature engineering. Collectively, these techniques and feature engineering are referred to as featurization.
Note: Often, features are created from raw data through a process of feature engineering. For example, a time stamp in itself might not be useful for modeling until the information is transformed into units of days, months, or categories that are relevant to the problem, such as holiday versus working day.
Box 3: Feature selection
In machine learning and statistics, feature selection is the process of selecting a subset of relevant, useful features to use in building an analytical model. Feature selection helps narrow the field of data to the most valuable inputs. Narrowing the field of data helps reduce noise and improve training performance.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/evaluate-model-performance
https://docs.microsoft.com/en-us/azure/machine-learning/concept-automated-ml
NEW QUESTION # 181
Match the Azure Cognitive Services to the appropriate Al workloads.
To answer, drag the appropriate service from the column on the left to its workload on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:
Explanation:
Explanation:
The correct matches are Custom Vision, Form Recognizer, and Face - each corresponding to a distinct capability under Azure Cognitive Services as described in the Microsoft Azure AI Fundamentals (AI-900) official study guide and Microsoft Learn modules on Computer Vision workloads.
* Custom Vision # Identify objects in an imageThe Custom Vision service is part of the Azure Cognitive Services suite that enables developers to train custom image classification and object detection models.
Unlike the prebuilt Computer Vision API, Custom Vision allows users to upload their own labeled images and teach the model to recognize specific objects relevant to their business context. The AI-900 syllabus explains that Custom Vision is ideal for tasks such as identifying products on a shelf, categorizing images, or detecting defects in manufacturing.
* Form Recognizer # Automatically import data from an invoice to a databaseForm Recognizer is a document processing AI service that extracts structured data from forms, receipts, and invoices. It uses optical character recognition (OCR) combined with layout and key-value pair detection to automatically capture information such as invoice numbers, amounts, and vendor names. The AI-900 study materials highlight this service under the Document Intelligence category, emphasizing its ability to streamline data entry and business automation workflows by importing extracted data directly into databases or applications.
* Face # Identify people in an imageThe Face service provides advanced facial detection and recognition capabilities. It can locate faces in images, compare similarities between faces, identify known individuals, and even detect facial attributes such as age or emotion. The AI-900 course classifies this under Computer Vision services for person identification and security-related use cases such as access control or identity verification.
Thus, each mapping aligns precisely with the AI-900 official learning outcomes on Cognitive Services capabilities:
* Custom Vision # Object recognition
* Form Recognizer # Data extraction from forms
* Face # People identification
# Final verified configuration:
* Custom Vision # Identify objects in an image
* Form Recognizer # Automatically import data from an invoice to a database
* Face # Identify people in an image
NEW QUESTION # 182
Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?
Answer: C
Explanation:
Section: Describe fundamental principles of machine learning on Azure
Explanation:
Accelerate your business processes by automating information extraction. Form Recognizer applies advanced machine learning to accurately extract text, key/value pairs, and tables from documents. With just a few samples, Form Recognizer tailors its understanding to your documents, both on-premises and in the cloud.
Turn forms into usable data at a fraction of the time and cost, so you can focus more time acting on the information rather than compiling it.
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/form-recognizer/
NEW QUESTION # 183
You need to generate cartoons for use in a brochure. Each cartoon will be based on a text description.
Which Azure OpenAI model should you use?
Answer: D
NEW QUESTION # 184
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:
NEW QUESTION # 185
......
Just the same as the free demo, we have provided three kinds of versions of our AI-900 preparation exam, among which the PDF version is the most popular one. It is understandable that many people give their priority to use paper-based AI-900 Materials rather than learning on computers, and it is quite clear that the PDF version is convenient for our customers to read and print the contents in our AI-900 study guide.
Test AI-900 Dumps Demo: https://www.prep4pass.com/AI-900_exam-braindumps.html
P.S. Free & New AI-900 dumps are available on Google Drive shared by Prep4pass: https://drive.google.com/open?id=1_qysRaL15w1BJKj1dfl6yKmzW-JgERag