Objective of Microsoft AI-900 Exam

It's important to note that the Microsoft AI-900 exam isn't an exam on Azure; the objective of the exam is to make sure you know how to build and manage intelligent cloud solutions and services on Azure. Foundation to Azure, or you can still get the certificate. Defined best practices for solution design, deployment, and administration. Identity of Azure services. Conclude testing by connecting the solution to the infrastructure to test for functionality. Instructor for the exam has extensive experience with Azure. Textidentify Azure services. Define identity of Azure services. Rewarding in the form of free exam vouchers and in-demand credential. Microsoft AI-900 exam dumps prepare you to become qualified Azure solutions specialist. Focus on the skills that are of high value in your organization. Bots are an important part of this exam.

Pay special attention to Cloud design principles. Terms used to describe the Azure platform. Standing out in the crowd and getting the job you want. Regular updates by Microsoft experts. Space for comments with every question. Sources for determining Azure pricing. Document your approach to meeting your goals. Positive impact of the exam on your career path.

Explain Computer Vision Workloads Features on Azure (15-20%)

Here, the following skills will be measured:

• Identify Azure services & tools for Computer Vision Projects – This section requires that the learners identify different capabilities of Computer Vision service, Face service, Customer Vision service, and Form Recognizer service.
• Identify the basic types of Computer Vision Solution – The candidates need to understand and be able to identify a range of features. They include image classification solutions, semantic segmentation solutions, object detection solutions, and optical attributes recognition solutions. It also covers the attributes of facial recognition, facial analysis, and facial detection solutions.

Schedule exam

Languages: English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Russian, Indonesian (Indonesia), Arabic (Saudi Arabia), Chinese (Traditional), Italian

Retirement date: none

Prove that you can describe the following: AI workloads and considerations; fundamental principles of machine learning on Azure; features of computer vision workloads on Azure; features of Natural Language Processing (NLP) workloads on Azure; and features of conversational AI workloads on Azure.

In case you're eager to get to know more about artificial intelligence facets & machine learning functions that relate to Microsoft Azure, then you're recommended to opt for AI-900 test.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900

Microsoft AI-900 Exam Syllabus Topics:

Microsoft Azure AI Fundamentals Sample Questions:

Question #1
To complete the sentence, select the appropriate option in the answer area.

Question #2
You use drones to identify where weeds grow between rows of crops to send an Instruction for the removal of the weeds. This is an example of which type of computer vision?

A. optical character recognition (OCR)
B. object detection
C. scene segmentation

Question #3
You are building a tool that will process images from retail stores and identity the products of competitors.
The solution must be trained on images provided by your company.
Which Azure Al service should you use?

A. Azure Al Document Intelligence
B. Face
C. Azure Al Custom Vision
D. Azure Al Computer Vision

Question #4
You need to create a clustering model and evaluate the model by using Azure Machine Learning designer.
What should you do?

A. Split the original dataset into a dataset for training and a dataset for testing. Use the testing dataset for evaluation.
B. Use the original dataset for training and evaluation.
C. Split the original dataset into a dataset for features and a dataset for labels. Use the features dataset for evaluation.
D. Split the original dataset into a dataset for training and a dataset for testing. Use the training dataset for evaluation.

Question #5
A company employs a team of customer service agents to provide telephone and email support to customers.
The company develops a webchat bot to provide automated answers to common customer queries.
Which business benefit should the company expect as a result of creating the webchat bot solution?

A. improved product reliability
B. increased sales
C. a reduced workload for the customer service agents

Solutions: