over 2 years ago

ITExamSimulator's braindumps provide you the gist of the entire syllabus in a specific set of questions and answers. These study questions are most likely to appear in the actual exam. The Certification exams are actually set randomly from the database of AI-900. Thus most of the questions are repeated in AI-900 Exam and our experts after studying the previous exam have sorted out the most important questions and prepared dumps out of them. Hence ITExamSimulator's dumps are a special feast for all the exam takers and sure to bring them not only exam success but also maximum score.

Describe NLP Workloads Features on Azure (15-20%)

This domain contains the following details that you need to learn about:

• Identify Azure services & tools for Natural Language Processing Workloads – This topic is created to equip you with the ability to identify various capabilities, such as Speech service, Text Analytics service, Translator Text service, and Language Understanding service.
• Identify the features of basic NLP (Natural Language Processing) Workload Scenarios – The individuals should be able to identify various uses and features of various components, for example, keyphrase extraction, sentiment analysis, entity recognition, translation, language modeling, and speech recognition & synthesis.

Career Prospects

Although the Microsoft AI-900 exam is associated with the foundational-level certification, all the successful candidates can pursue various lucrative career paths in the field of IT. Some of the job roles that these professionals can work in include a Data Scientist, a Software Developer, and an Azure AI Engineer, among others. They can also proceed to get some other role-based certificates to boost their potential in the world of Information Technology. With the Microsoft Certified: Azure AI Fundamentals certification, you can earn an average of $48,000 per annum as an entry-level specialist. Those with some work experience can get an average of $74,000 per year.

Microsoft AI-900 Exam Syllabus Topics:

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%)

>> Guide AI-900 Torrent <<

AI-900 Passleader Review - AI-900 Test Practice

As we have become the leader in this career and our experts have studying the AI-900 exam braindumps for many years and know every detail about this subjest. So our AI-900 simulating exam is definitely making your review more durable. To add up your interests and simplify some difficult points, our experts try their best to design our AI-900 Study Material and help you understand the learning guide better.

Microsoft Azure AI Fundamentals Sample Questions (Q117-Q122):

NEW QUESTION # 117
You are developing a solution that uses the Text Analytics service.
You need to identify the main talking points in a collection of documents.
Which type of natural language processing should you use?

• A. entity recognition
• B. sentiment analysis
• C. key phrase extraction
• D. language detection

Answer: C Explanation:
Section: Describe features of Natural Language Processing (NLP) workloads on Azure Explanation:
Broad entity extraction: Identify important concepts in text, including key Key phrase extraction/ Broad entity extraction: Identify important concepts in text, including key phrases and named entities such as people, places, and organizations.
Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language- processing
NEW QUESTION # 118
When you design an AI system to assess whether loans should be approved, the factors used to make the decision should be explainable.
This is an example of which Microsoft guiding principle for responsible AI?

• A. fairness
• B. transparency
• C. privacy and security
• D. inclusiveness

Answer: B Explanation:
Explanation
Achieving transparency helps the team to understand the data and algorithms used to train the model, what transformation logic was applied to the data, the final model generated, and its associated assets. This information offers insights about how the model was created, which allows it to be reproduced in a transparent way.
Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/strategy/responsible-ai
NEW QUESTION # 119
In which two scenarios can you use the Form Recognizer service? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

• A. Extract the invoice number from an invoice.
• B. Translate a form from French to English.
• C. Find image of product in a catalog.
• D. Identity the retailer from a receipt.

Answer: A,D Explanation:
Section: Describe features of computer vision workloads on Azure
Explanation/Reference:
https://azure.microsoft.com/en-gb/services/cognitive-services/form-recognizer/#features
NEW QUESTION # 120
To complete the sentence, select the appropriate option in the answer area.
Answer: ** Explanation:

Explanation

To perform real-time inferencing, you must deploy a pipeline as a real-time endpoint.
Real-time endpoints must be deployed to an Azure Kubernetes Service cluster.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer#deploy
NEW QUESTION # 121**
You need to reduce the load on telephone operators by implementing a chatbot to answer simple questions with predefined answers.
Which two AI service should you use to achieve the goal? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

• A. QnA Maker
• B. Text Analytics
• C. Translator Text
• D. Azure Bot Service

Answer: A,D Explanation:
Explanation
Bots are a popular way to provide support through multiple communication channels. You can use the QnA Maker service and Azure Bot Service to create a bot that answers user questions.
Reference:
https://docs.microsoft.com/en-us/learn/modules/build-faq-chatbot-qna-maker-azure-bot-service/
NEW QUESTION # 122
...... You will feel comfortable and pleasant to shop on such a good website. All the contents of our AI-900 training dumps are organized logically. Each small part contains a specific module. You can clearly get all the information about our AI-900 study guide. If you cannot find what you want to know, you can have a conversation with our online workers. Your questions on AI-900 Exam Dumps will be answered accurately and quickly. We are still working hard to satisfy your demands. AI-900 Passleader Review: https://www.itexamsimulator.com/AI-900-brain-dumps.html