- 首頁
- App 分析
- AZ-900 Azure Exam
- AZ-900 Azure Exam Vs. Azure AI Fundamentals Quiz
AZ-900 Azure Exam 與 Azure AI Fundamentals Quiz 使用情況與統計
This App offers you the chance to revise for the AZ-900 Azure Fundamentals Exam in a fun and innovative way. By using this app, you will pass and get certified.
Our app contains over one hundred up-to-date questions similar to the 2020/2021 exam questions.
Our app has the ability to offer instant feedback and a final percentage score after every 10 questions completed.
In the progress section, the app will show you how much time you spent preparing for the exam and the progress that you are making.
The Targets section is designed to help you revise the questions answered wrong the first time, so you can increase the final score.
This app is available to use offline, once downloaded. If you prefer doing things with pen and paper, you can email and print these tests.
Are you finding it hard to set a time for revision?
Our app will remind you to revise every day if you set it and can send you a Question of the day as a notification every morning.
Our 7 tests cover the following topics of the exam:
Compute Services
Cloud Storage
Networking
App Hosting
Artificial Intelligence
Internet of Things
Integration
Security
With all of these great ways to revise, it is almost impossible not to pass the AZ-900 Azure Fundamentals Exam.
There is no in-app Purchases or Log in required to access the tests, it has never been easier to revise for the AZ-900 Azure Fundamentals
- Apple App Store
- 付費
- 教育
商店排名
- -
Skills Measured:
Describe Artificial Intelligence workloads and considerations (15-20%)
Identify features of common AI workloads
Identify prediction/forecasting workloads
Identify features of anomaly detection workloads
Identify computer vision workloads
Identify natural language processing or knowledge mining workloads
Identify conversational AI 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 (30-
35%)
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 how machine learning algorithms are used for model training
Select and interpret model evaluation metrics for classification and regression
Identify core tasks in creating a machine learning solution
Describe common features of data ingestion and preparation
Describe feature engineering and selection
Describe common features of model training and evaluation
Describe common features of model deployment and management
Describe capabilities of no-code machine learning with Azure Machine Learning studio
Automated ML UI
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
Identify Azure tools and services for computer vision tasks
Identify capabilities of the Computer Vision service
Identify capabilities of the Custom Vision service
Identify capabilities of the Face service
Identify capabilities of the Form Recognizer service
Describe features of Natural Language Processing (NLP) workloads on
Azure (15-20%)
Identify features of common NLP Workload Scenarios
Identify features and uses for key phrase extraction
Identify features and uses for entity recognition
Identify features and uses for sentiment analysis
Identify features and uses for language modeling
Identify features and uses for speech recognition and synthesis
Identify features and uses for translation
Identify Azure tools and services for NLP workloads
Identify capabilities of the Text Analytics service
Identify capabilities of the Language Understanding service (LUIS)
Identify capabilities of the Speech service
Identify capabilities of the Translator Text service
Describe features of conversational AI workloads on Azure (15-20%)
Identify common use cases for conversational AI
Identify features and uses for webchat bots
Identify common characteristics of conversational AI solutions
Identify Azure services for conversational AI
Identify capabilities of the QnA Maker service
Identify capabilities of the Azure Bot service
- Apple App Store
- 付費
- 教育
商店排名
- -
AZ-900 Azure Exam與 Azure AI Fundamentals Quiz 比較排名
比較過去 28 天的 AZ-900 Azure Exam 排名趨勢與 Azure AI Fundamentals Quiz
排名
無可用數據
各國 AZ-900 Azure Exam vs. Azure AI Fundamentals Quiz 排名比較
比較過去 28 天的 AZ-900 Azure Exam 排名趨勢與 Azure AI Fundamentals Quiz
所有類別
無可用數據
教育
使用我們的免費試用版,與所有網站進行比較
AZ-900 Azure Exam VS.
Azure AI Fundamentals Quiz
12月 11, 2024