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What Is Microsoft AI-900? (The Complete, Digestible, Non-Boring Guide)

The Microsoft AI-900 exam is familiar to us but unfamiliar. On the one hand, we are very familiar with Microsoft certification and know that AI-900 belongs to Microsoft certification. But on the other hand, we don’t know exactly what the AI-900 exam is. But don’t worry, that’s why I wrote this guide.

Microsoft AI-900

What is Microsoft AI-900?

AI-900 stands for Microsoft Azure AI Fundamentals.

Maybe you’ll also ask what’s the use of Microsoft AI?

The Microsoft AI platform provides a powerful set of tools such as the Bot Framework, Cognitive Services, Azure Machine Learning, and more. These tools enable developers to easily and quickly inject AI into their applications and scenarios, providing users with a whole new and intelligent experience.

Is the Microsoft AI 900 worth it?

Artificial intelligence and machine learning will play an important role in the future of our technology, and Microsoft is at the forefront of this development.

If you want to get into this business, learning about Microsoft AI 900 is necessary.

Microsoft’s certification path in this regard is as follows:

  • Microsoft Certified: Azure AI Engineer Associate accreditation
  • Microsoft Certified: Azure AI Fundamentals

What to do to pass the Microsoft Azure AI Fundamentals exam?

Microsoft Fundamentals AI-900 study guide 2022:

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So, putting it all together,

Passing the Microsoft AI-900 exam is necessary and useful for your career prospects. You can successfully earn Microsoft Fundamentals certification with the latest Microsoft AI-900 exam dumps!

Do you understand now?

Next share some free Microsoft Fundamentals AI-900 exam dumps questions (online practice and pdf)

Microsoft Fundamentals AI-900 dumps online practice

AI-900 Q&As

QUESTION 1

You are processing photos of runners in a race.
You need to read the numbers on the runners’ shirts to identify the runners in the photos.
Which type of computer vision should you use?

A. facial recognition
B. optical character recognition (OCR)
C. semantic segmentation
D. object detection

Correct Answer: B

Explanation:
Optical character recognition (OCR) allows you to extract printed or handwritten text from images and documents.

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-ocr

QUESTION 2

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 AI 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 AI-based algorithms for automated decision making

Correct Answer: BC

Reference: https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/3-implications-responsible-ai-practical

QUESTION 3

You use Azure Machine Learning designer to publish an inference pipeline.
Which two parameters should you use to consume the pipeline? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. the model name
B. the training endpoint
C. the authentication key
D. the REST endpoint

Correct Answer: AD

A: The trained model is stored as a Dataset module in the module palette. You can find it under My Datasets.
Azure Machine Learning designer lets you visually connect datasets and modules on an interactive canvas to create
machine learning models.

D: You can consume a published pipeline on the Published pipelines page. Select a published pipeline and find the
REST endpoint of it.

Reference: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-run-batch-predictions-designer
https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer

QUESTION 4

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: BE

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 5

You send an image to a Computer Vision API and receive back the annotated image shown in the exhibit.

Which type of computer vision was used?

A. object detection
B. semantic segmentation
C. optical character recognition (OCR)
D. image classification

Correct Answer: A

Object detection is similar to tagging, but the API returns the bounding box coordinates (in pixels) for each object found.

For example, if an image contains a dog, cat, and person, the Detect operation will list those objects together with their
coordinates in the image. You can use this functionality to process the relationships between the objects in an image. It
also lets you determine whether there are multiple instances of the same tag in an image.

The Detect API applies tags based on the objects or living things identified in the image. There is currently no formal
relationship between the tagging taxonomy and the object detection taxonomy. At a conceptual level, the Detect API
only finds objects and living things, while the Tag API can also include contextual terms like “indoor”, which can\’t be
localized with bounding boxes.

Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection

QUESTION 6

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

Reference: https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-languageprocessing

QUESTION 7

You need to build an app that will read recipe instructions aloud to support users who have reduced vision. Which
version of service should you use?

A. Text Analytics
B. Translator Text
C. Speech
D. Language Understanding (LUIS)

Correct Answer: C

Reference: https://azure.microsoft.com/en-us/services/cognitive-services/text-to-speech/#features

QUESTION 8

You need to determine the location of cars in an image so that you can estimate the distance between the cars. Which
What type of computer vision should you use?

A. optical character recognition (OCR)
B. object detection
C. image classification
D. face detection

Correct Answer: B

Object detection is similar to tagging, but the API returns the bounding box coordinates (in pixels) for each object found.

For example, if an image contains a dog, cat, and person, the Detect operation will list those objects together with their
coordinates in the image. You can use this functionality to process the relationships between the objects in an image. It
also lets you determine whether there are multiple instances of the same tag in an image.

The Detect API applies tags based on the objects or living things identified in the image. There is currently no formal
relationship between the tagging taxonomy and the object detection taxonomy. At a conceptual level, the Detect API
only finds objects and living things, while the Tag API can also include contextual terms like “indoor”, which can\’t be
localized with bounding boxes.

Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection

QUESTION 9

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 provide guidance on 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 are 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 10

You are developing a natural language processing solution in Azure. The solution will analyze customer reviews and
determine how positive or negative each review is. This is an example of which type of natural language processing
workload?

A. language detection
B. sentiment analysis
C. keyphrase extraction
D. entity recognition

Correct Answer: B

Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.

Reference: https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-languageprocessing

QUESTION 11

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.

Reference: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-designer-python

QUESTION 12

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.

Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/get-started-build-detector

Download free Microsoft Fundamentals AI-900 pdf

google drive: https://drive.google.com/file/d/1YdYI7gEAJdLCl9y67RaK8kc4x0cvmj4a/view?usp=sharing

Once you understand the meaning and questions of the Microsoft AI 900 exam, it is easy to pass the AI 900. You can do this by the methods mentioned above:

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AI 900 dumps recommended https://www.pass4itsure.com/ai-900.html (Total Q&As: 129)

Let’s review.

What is Microsoft AI-900?
Is the Microsoft AI 900 dumps worth it?
What to do to pass the Microsoft Azure AI Fundamentals exam?
Some free Microsoft Fundamentals AI-900 exam questions.

Hope these latest AI-900 study guides can help you.