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Tips to Pass AI-900: Microsoft Azure AI Fundamentals Exam

June 09,2023
Are you planning to take the AI-900: Microsoft Azure AI Fundamentals exam? This is an excellent opportunity to validate your knowledge and skills in understanding the basics of Artificial Intelligence (AI) and its role in Microsoft Azure. Passcert has newly updated Microsoft Azure AI Fundamentals AI-900 dumps to assist you in preparing for your final exam. By reviewing the exam topics, taking online training, practicing with hands-on labs, and using Passcert update Microsoft Azure AI Fundamentals AI-900 dumps, you can prepare for the exam and increase your chances of passing it on the first attempt. 
Tips to Pass AI-900: Microsoft Azure AI Fundamentals Exam

Exam AI-900: Microsoft Azure AI Fundamentals

The AI-900 certification exam is a comprehensive test that evaluates your foundational understanding of artificial intelligence (AI) concepts and their practical application with Microsoft Azure services. This exam is designed to ensure that you have the necessary knowledge and skills to work with AI technologies effectively.

The exam consists of 40-60 multiple-choice questions that cover a wide range of topics, including machine learning, natural language processing, computer vision, and data analysis. You will have 60 minutes to complete the exam, which is enough time to carefully analyze each question and provide well-thought-out answers.

The exam fee is $99 USD, which is a reasonable price for the value of the certification. You can take the exam online or in-person at a certification center, depending on your preference and schedule. Taking the exam online provides a convenient option for those who cannot travel to a testing center, while taking it in-person allows you to interact with other test-takers and the proctor.

Overall, preparing for and taking the AI-900 certification exam is a worthwhile investment for anyone who wants to demonstrate their proficiency in AI concepts and their practical application with Microsoft Azure services.

AI-900 Exam Topics

The AI-900 exam is divided into four main categories. The following are the topics that you should be familiar with before taking the exam:
- Describe Artificial Intelligence workloads and considerations (20–25%)
- Describe fundamental principles of machine learning on Azure (25–30%)
- Describe features of computer vision workloads on Azure (15–20%)
- Describe features of Natural Language Processing (NLP) workloads on Azure (25–30%)

Who Can Take the AI-900 Exam?

The AI-900 exam is designed for individuals who want to validate their foundational knowledge of AI concepts and their implementation in Microsoft Azure. This exam is suitable for:
- Business leaders who want to understand the impact of AI on their organization
- Technical professionals who want to learn how to implement AI solutions with Azure services
- Students who want to start their career in AI

How to Best Prepare for the AI-900 Exam?

To pass the AI-900 exam, you need to have a good understanding of the exam topics and their implementation with Azure services. Here are some tips to help you prepare for the exam:
1. Review the exam topics: Start by reviewing the exam topics and understanding their scope. You can use Microsoft's official exam page as a reference.
2. Take online training: Microsoft offers free online training for the AI-900 exam. These courses provide you with a detailed understanding of the exam topics and their implementation with Azure services.
3. Practice with hands-on labs: Microsoft also provides free hands-on labs for the AI-900 exam. These labs help you gain practical experience in implementing AI solutions with Azure services.
4. Use Passcert update AI-900 dumps: Passcert update AI-900 dumps are a great resource to help you prepare for the exam. These dumps provide you with practice questions and answers that are similar to the actual exam.

Share Microsoft Azure AI Fundamentals AI-900 Free Dumps

1. For a machine learning progress, how should you split data for training and evaluation?
A. Use features for training and labels for evaluation.
B. Randomly split the data into rows for training and rows for evaluation.
C. Use labels for training and features for evaluation.
D. Randomly split the data into columns for training and columns for evaluation.
Answer: B

2. You need to develop a mobile app for employees to scan and store their expenses while travelling.
Which type of computer vision should you use?
A. semantic segmentation
B. image classification
C. object detection
D. optical character recognition (OCR)
Answer: D

3. You are building an AI-based app.
You need to ensure that the app uses the principles for responsible AI.
Which two principles should you follow? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A. Implement an Agile software development methodology
B. Implement a process of Al model validation as part of the software review process
C. Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer
D. Prevent the disclosure of the use of Al-based algorithms for automated decision making
Answer: B,C

4. 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. transparency
B. inclusiveness
C. fairness
D. privacy and security
Answer: A

5. You build a machine learning model by using the automated machine learning user interface (UI).
You need to ensure that the model meets the Microsoft transparency principle for responsible AI.
What should you do?
A. Set Validation type to Auto.
B. Enable Explain best model.
C. Set Primary metric to accuracy.
D. Set Max concurrent iterations to 0.
Answer: B

6. You have an Al solution that provides users with the ability to control smart devices by using verbal commands.
Which two types of natural language processing (NLP) workloads does the solution use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A. text-to-speech
B. translation
C. language modeling
D. key phrase extraction
E. speech-to-text
Answer: C,D

Conclusion

Passing the AI-900: Microsoft Azure AI Fundamentals exam is a great way to validate your knowledge and skills in understanding the basics of AI and its implementation with Azure services. By following the tips mentioned in this article, you can prepare for the exam and increase your chances of passing it on the first attempt. Remember to use Passcert update AI-900 dumps as a resource to help you prepare for the exam. Good luck!
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