Suppose you want to take your place in today’s hot flow AI. In that case, you must mention the Microsoft Azure AI Fundamentals AI-900 exam, free Microsoft Azure AI Fundamentals AI-900 exam practice questions, and experience to help you easily pass the exam. In particular, Pass4itSure AI-900 exam practice questions resources (https://www.pass4itsure.com/ai-900.html) PDF+VCE mode is optional.
Contemporary, AI-900 exam breakthrough
In the current era of rapid development of AI, people face many challenges, but it is not impossible to break the situation and be reborn. Passing the AI-900 exam can earn the Microsoft Azure AI Fundamentals certification, and mastering the fundamentals of AI can help you in your career. The exam covers basic AI concepts, application scenarios, key technologies, and ethical principles, and applies to roles such as AI engineers, developers, data scientists, and students.
Specifically, by learning AI-related skills such as data analysis, machine learning, and more through the AI-900 exam, you can find your footing in emerging fields.
Experience sharing of studying for the AI-900 exam
To put it simply, the AI-900 exam is an exam designed to help you become an AI person. As a candidate for the Microsoft Azure AI Fundamentals certification, you should familiarize yourself with the self-paced or instructor-led official study materials.
Practice should also be stepped up and practice questions from the latest updated AI-900 exam should be used.
Finally, reflect on the deficiencies in time and complete the unstable knowledge points.
Another point, don’t forget, to keep up to date with the latest AI news.
Note: This is not absolute, you can change it appropriately according to your situation, and find out the most suitable strategy for yourself to cope with the exam.
ps. The latest AI-900 exam practice questions are recommended from the Pass4itSure website, which has just been updated on Jun 22, 2024, to ensure that it is up to date.
Free practice questions for the AI-900 exam shared by Pass4itSure
Contains detailed explanations of AI-900 exam practice questions.
Question 1:
HOTSPOT
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:
Correct Answer:
The Text Analytics API is a cloud-based service that provides advanced natural language processing over raw text and includes four main functions: sentiment analysis, key phrase extraction, named entity recognition, and language detection.
Box 1: Yes You can detect which language the input text is written in and report a single language code for every document submitted on the request in a wide range of languages, variants, dialects, and some regional/cultural languages. The language code is paired with a score indicating the strength of the score.
Box 2: No
Box 3: Yes Named Entity Recognition: Identify and categorize entities in your text as people, places, organizations, date/time, quantities, percentages, currencies, and more. Well-known entities are also recognized and linked to more information on the web.
Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview
Question 2:
You need to create a training dataset and validation dataset from an existing dataset. Which module in the Azure Machine Learning Designer should you use?
A. Select Columns in Dataset
B. Add Rows
C. Split Data
D. Join Data
Correct Answer: C
A common way of evaluating a model is to divide the data into a training and test set by using Split Data, and then validate the model on the training data. Use the Split Data module to divide a dataset into two distinct sets. The studio currently supports training/validation data splits
Question 3:
HOTSPOT
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:
Correct Answer:
Box 1: Yes
Azure bot service can be integrated with the powerful AI capabilities of Azure Cognitive Services.
Box 2: Yes
Azure bot service conversationally engages with customers.
Box 3: No
The QnA Maker service creates a knowledge base, not question-and-answer sets.
Note: You can use the QnA Maker service and a knowledge base to add question-and-answer support to your bot. When you create your knowledge base, you seed it with questions and answers.
Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-tutorial-add-qna
Question 4:
HOTSPOT
Select the answer that correctly completes the sentence.
Hot Area:
Correct Answer:
Question 5:
HOTSPOT
To complete the sentence, select the appropriate option in the answer area.
Hot Area:
Correct Answer:
Reference: https://docs.microsoft.com/en-us/azure/architecture/data-science-process/create-features
Question 6:
You need to predict the animal population of an area. Which Azure Machine Learning type should you use?
A. regression
B. clustering
C. classification
Correct Answer: A
Regression is a supervised machine-learning technique used to predict numeric values.
Question 7:
Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?
A. Custom Vision
B. Face
C. Form Recognizer
D. Language
Correct Answer: C
Form Recognizer applies advanced machine learning to accurately extract text, key-value pairs, tables, and structures from documents. Reference: https://azure.microsoft.com/en-us/services/form-recognizer/
Question 8:
You need to implement a pre-built solution that will identify well-known brands in digital photographs. Which Azure Cognitive Services service should you use?
A. Custom Vision
B. Form Recognizer
C. Face
D. Computer Vision
Correct Answer: D
Brand detection is a specialized mode of object detection that uses a database of thousands of global logos to identify commercial brands in images or videos. You can use this feature, for example, to discover which brands are most popular on social media or most prevalent in media product placement.
The Computer Vision service detects whether there are brand logos in a given image; if there are, it returns the brand name, a confidence score, and the coordinates of a bounding box around the logo.
The built-in logo database covers popular brands in consumer electronics, clothing, and more. If you find that the brand you\’re looking for is not detected by the Computer Vision service, you could also try creating and training your logo detector using the Custom Vision service.
Reference: https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-brand-detection
Question 9:
You have insurance claim reports that are stored as text.
You need to extract key terms from the reports to generate summaries.
Which type of AI workload should you use?
A. natural language processing
B. conversational AI
C. anomaly detection
D. computer vision
Correct Answer: A
Key phrase extraction is the concept of evaluating the text of a document, or documents, and then identifying the main talking points of the document(s). Key phase extraction is a part of Text Analytics. The Text Analytics service is a part of the Azure Cognitive Services offerings that can perform advanced natural language processing over raw text.
https://docs.microsoft.com/en-us/learn/modules/analyze-text-with-text-analytics-service/2-get-started-azure https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing
Question 10:
You are building a tool that will process images from retail stores and identify the products of competitors.
The solution will use a custom model.
Which Azure Cognitive Services service should you use?
A. Custom Vision
B. Form Recognizer
C. Face
D. Computer Vision
Correct Answer: A
Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/overview
Question 11:
HOTSPOT
You have an Azure Machine Learning model that predicts product quality. The model has a training dataset that contains 50,000 records. A sample of the data is shown in the following table.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:
Correct Answer:
Question 12:
What are two tasks that can be performed by using computer vision? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
A. Predict stock prices.
B. Detect brands in an image.
C. Detect the color scheme in an image
D. Translate text between languages.
E. Extract key phrases.
Correct Answer: BC
B: Azure\’s Computer Vision service gives you access to advanced algorithms that process images and return information based on the visual features you\’re interested in. For example, Computer Vision can determine whether an image contains adult content, find specific brands or objects, or find human faces.
E: Computer Vision includes Optical Character Recognition (OCR) capabilities. You can use the new Read API to extract printed and handwritten text from images and documents. It uses the latest models and works with text on a variety of surfaces and backgrounds. These include receipts, posters, business cards, letters, and whiteboards. The two OCR APIs support extracting printed text in several languages.
Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview
Question 13:
DRAG DROP
Match the Microsoft guiding principles for responsible AI to the appropriate descriptions.
To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Select and Place:
Correct Answer:
Box 1: Reliability and safety To build trust, it\’s critical that AI systems operate reliably, safely, and consistently under normal circumstances and in unexpected conditions. These systems should be able to operate as they were originally designed, respond safely to unanticipated conditions, and resist harmful manipulation.
Box 2: Fairness Fairness: AI systems should treat everyone fairly and avoid affecting similarly situated groups of people in different ways. For example, when AI systems guide medical treatment, loan applications, or employment, they should make the same recommendations to everyone with similar symptoms, financial circumstances, or professional qualifications.
We believe that mitigating bias starts with people understanding the implications and limitations of AI predictions and recommendations. Ultimately, people should supplement AI decisions with sound human judgment and be held accountable for consequential decisions that affect others.
Box 3: Privacy and security As AI becomes more prevalent, protecting privacy and securing important personal and business information is becoming more critical and complex. With AI, privacy, and data security issues require especially close attention because access to data is essential for AI systems to make accurate and informed predictions and decisions about people. AI systems must comply with privacy laws that require transparency about the collection, use, and storage of data and mandate that consumers have appropriate controls to choose how their data is used
Reference: https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles
Question 14:
Which AI service should you use to create a bot from a frequently asked questions (FAQ) document?
A. QnA Maker
B. Language Understanding (LUIS)
C. Text Analytics
D. Speech
Correct Answer: A
Question 15:
You have an app that identifies the coordinates of a product in an image of a supermarket shelf. Which service does the app use?
A. Custom Vision classification
B. Custom Vision object detection
C. Computer Vision Read
D. Computer Vision optical character recognition (OCR)
Correct Answer: B
Object detection is similar to tagging, but the API returns the bounding box coordinates (in pixels) for each object found in the image.
Reference: https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection
For more self-pickup questions, you can click here. …
Microsoft Certified: Azure AI Fundamentals details
Applicable roles: AI engineer, developer, data scientist, AI engineer, student, etc
Exam duration: approximately 1 hour
Pass score: 700/1000
Difficulty: 2/5
Number of questions: 40-60
Certification: Microsoft Azure AI Fundamentals
Exam duration: less than 1 hour
Exam type: Multiple choice questions, multiple choice questions, True or False, Paired questions. The topics cover the basic concepts, application scenarios, key technologies, and ethical principles of AI.
Certification path: Pass the exam to earn the corresponding Microsoft international certification – AI-900 Fundamentals certification (Microsoft Certified: Azure AI Fundamentals)
Topics and Proportions of the Exam: Describe Artificial Intelligence workloads and considerations (15–20%) Describe fundamental principles of machine learning on Azure (20–25%) Describe features of computer vision workloads on Azure (15–20%) Describe features of Natural Language Processing (NLP) workloads on Azure (15–20%)
Links to Effective Learning Resources: https://learn.microsoft.com/en-us/training/modules/fundamentals-azure-ai-services/?source=recommendations https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals/?source=recommendations&practice-assessment-type=certification https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals/?source=recommendations&practice-assessment-type=certification https://learn.microsoft.com/en-us/credentials/ https://learn.microsoft.com/en-us/credentials/ https://learn.microsoft.com/en-us/credentials/browse/?roles=ai-engineer&credential_types=certification https://learn.microsoft.com/en-us/credentials/browse/?products=azure&credential_types=certification https://learn.microsoft.com/en-us/training/paths/get-started-with-artificial-intelligence-on-azure/ https://learn.microsoft.com/en-us/training/paths/introduction-generative-ai/ https://learn.microsoft.com/en-us/training/paths/document-intelligence-knowledge-mining/ https://learn.microsoft.com/en-us/training/paths/explore-natural-language-processing/ https://learn.microsoft.com/en-us/training/paths/explore-computer-vision-microsoft-azure/
Mastering the fundamentals of AI can help you jumpstart your career and prepare you to gain a deeper understanding of the other technology opportunities that Azure has to offer. Artificial intelligence (AI) has given possibilities that yesterday seemed like science fiction a reality. Using AI, solutions can be generated, applications improved, and technology can be advanced in many areas, including healthcare, financial management, and environmental protection. If you want to achieve these goals, the Microsoft Certified: Azure AI Fundamentals: AI-900 Exam is a great place to go
Prove that you have the AI skills you need to create a better world. Earning an Azure AI Fundamentals certification gives you the foundation you need to build a career and demonstrate your knowledge of common AI and machine learning workloads and what Azure services can solve.
Verify that you have a basic knowledge of machine learning and AI concepts and related Azure services.
You can earn the Microsoft AI Fundamentals certification with the AI-900: Microsoft Azure AI Fundamentals exam. This exam is an opportunity to demonstrate machine learning (ML) and artificial intelligence (AI) concepts and knowledge of related Microsoft Azure services. Candidates for this exam should be familiar with the self-paced or instructor-led learning materials for Exam AI-900.
This exam is for candidates with both technical and non-technical backgrounds. No data science and software engineering experience is required; however, it is helpful to understand cloud fundamentals and client-server applications. Azure AI Fundamentals can be used to prepare for other Azure role-based certifications, such as Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for either.
AI-900 exam value gains
- Gain a comprehensive understanding of the knowledge of artificial intelligence and the application of artificial intelligence in the industry
- Fundamentals of AI engineers, developers, solution architects, data scientists
- Theory combined with hands-on practice, quickly understand and apply
- Corresponding to Microsoft international certification, globally recognized, credits can be credited in North America
- A stepping stone to the workplace
In conclusion,
Preparing for the Azure AI-900 certification exam requires up-to-date AI-900 exam practice questions and experience. The Pass4itSure AI-900 exam practice questions resource (https://www.pass4itsure.com/ai-900.html) provides authentic and relevant exam questions and answers. Through careful and patient study, we believe that every candidate will be able to successfully pass the exam and become a professional in the field of Azure AI.
In today’s age of AI, find your place. Keep your knowledge up to date, stay up-to-date on the latest advances in AI, and adjust your strategy accordingly. With determination and the right approach, you can outperform your competitors and become the leading authority on Microsoft Azure and AI.
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