OVERCOME FEAR OF EXAM WITH MICROSOFT AI-900 EXAM DUMPS

Overcome Fear of Exam with Microsoft AI-900 Exam Dumps

Overcome Fear of Exam with Microsoft AI-900 Exam Dumps

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Tags: Test AI-900 Preparation, AI-900 Well Prep, Certification AI-900 Sample Questions, Latest AI-900 Test Format, AI-900 Real Torrent

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Passing the Microsoft AI-900 certification exam is a valuable credential for those seeking to demonstrate their expertise in AI and the Azure platform. It can help individuals stand out from the competition in the job market and open up new opportunities for career advancement. Additionally, it provides a foundation for those who wish to pursue further certifications in AI or Azure.

The Microsoft AI-900 Exam consists of 40-60 multiple-choice questions and has a time limit of 60 minutes. To pass the exam, candidates must achieve a minimum score of 700 out of 1000. AI-900 exam can be taken online or through a testing center, and the cost of the exam varies by location.

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The AI-900 certification exam is an excellent starting point for anyone who wants to build a career in AI and ML. It is suitable for individuals who have a basic understanding of cloud computing and are interested in expanding their knowledge of AI concepts and their practical applications. Passing AI-900 Exam is a great way to demonstrate your expertise in AI and ML to potential employers and colleagues. Moreover, it serves as a pre-requisite for more advanced certifications that validate expertise in specific AI and ML areas.

Microsoft Azure AI Fundamentals Sample Questions (Q58-Q63):

NEW QUESTION # 58
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. Detect brands in an image.
  • B. Translate text between languages.
  • C. Extract key phrases.
  • D. Detect the color scheme in an image
  • E. Predict stock prices.

Answer: A,C

Explanation:
Explanation
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


NEW QUESTION # 59
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-gb/azure/cognitive-services/text-analytics/overview
https://azure.microsoft.com/en-gb/services/cognitive-services/speech-services/
https://docs.microsoft.com/en-us/learn/modules/analyze-text-with-text-analytics-service/2-get-started-azure


NEW QUESTION # 60
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 61
You need to predict the sea level in meters for the next 10 years.
Which type of machine learning should you use?

  • A. regression
  • B. clustering
  • C. classification

Answer: A

Explanation:
Section: Describe fundamental principles of machine learning on Azure
Explanation:
In the most basic sense, regression refers to prediction of a numeric target.
Linear regression attempts to establish a linear relationship between one or more independent variables and a numeric outcome, or dependent variable.
You use this module to define a linear regression method, and then train a model using a labeled dataset. The trained model can then be used to make predictions.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression


NEW QUESTION # 62
correctly completes the sentence.

Answer:

Explanation:

Explanation:


NEW QUESTION # 63
......

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