Free AI-900 Exam Practice Questions
Practice for AI-900 Microsoft Azure AI Fundamentals exam - disclaimer
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Exam Code: AI-900
Exam Title: Microsoft Azure AI Fundamentals - Exam Provider: Microsoft
- Total Exam Questions: 54
- Last Updated On: 27-May-2024
Exercise : Exam AI 900 Microsoft Azure AI Fundamentals MCQ Questions and Answers
Question 1
DRAG DROP -
You plan to deploy an Azure Machine Learning model as a service that will be used by client applications.
Which three processes should you perform in sequence before you deploy the model? To answer, move the appropriate processes from the list of processes to the answer area and arrange them in the correct order.
Select and Place:
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| B. |
| C. |
| D. |
Correct Answer : B. data preparation, model training, model evaluation
Description :
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-ml-pipelines
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Question 2
Which two Form Recognizer models include identifying common data fields as part of its data extraction capabilities? Each correct answer presents a complete solution.
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Correct Answer : A. invoice model, E. business card model
Description :
The business card model analyzes and extracts key information from business card images and includes common data field extractions, such as name and email. The invoice model extracts key information from sales invoices and includes common data fields used in invoices for extraction. The read model, layout model, and general document model do not identify and extract common data fields.
References :
Document processing models - Form Recognizer - Azure Applied AI Services | Microsoft Learn
Analyze receipts with the Form Recognizer service - Training | Microsoft Learn
Question 3
What can be used for an attendance system that can scan handwritten signatures?
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| D. |
Correct Answer : D. optical character recognition (OCR)
Description :
OCR is used to extract text and handwriting from images. In this case, it can be used to extract signatures for attendance purposes. Face detection can detect and verify human faces, not text, from images. Object detection can detect multiple objects in an image by using bounding box coordinates. It is not used to extract handwritten text. Image classification is the part of computer vision that is concerned with the primary contents of an image.
References :
Read text with the Computer Vision service - Training | Microsoft Learn
Question 4
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 Most Voted
C. Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer Most Voted
D. Prevent the disclosure of the use of AI-based algorithms for automated decision making
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Question 5
HOTSPOT -
You are developing a model to predict events by using classification.
You have a confusion matrix for the model scored on test data as shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Hot Area:
| A. |
| B. |
| C. |
| D. |
Correct Answer : A. 11 1,033
Description :
TP = True Positive.
The class labels in the training set can take on only two possible values, which we usually refer to as positive or negative. The positive and negative instances that a classifier predicts correctly are called true positives (TP) and true negatives (TN), respectively. Similarly, the incorrectly classified instances are called false positives (FP) and false negatives (FN).
Box 2: 1,033 -
FN = False Negative -
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/evaluate-model-performance
Question 6
Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?
| A. |
| B. |
| C. |
| D. |
Correct Answer : C. Form Recognizer
Description :
Accelerate your business processes by automating information extraction. Form Recognizer applies advanced machine learning to accurately extract text, key/ value pairs, and tables from documents. With just a few samples, Form Recognizer tailors its understanding to your documents, both on-premises and in the cloud. Turn forms into usable data at a fraction of the time and cost, so you can focus more time acting on the information rather than compiling it.
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/form-recognizer
Question 7
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:
| A. |
| B. |
| C. |
| D. |
Correct Answer : C. Reliability and safety, Accountability, Privacy and security
Description :
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: Accountability -
The people who design and deploy AI systems must be accountable for how their systems operate. Organizations should draw upon industry standards to develop accountability norms. These norms can ensure that AI systems are not the final authority on any decision that impacts people's lives and that humans maintain meaningful control over otherwise highly autonomous AI systems.
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 8
Which process allows you to use optical character recognition (OCR)?
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| B. |
| C. |
| D. |
Correct Answer : A. digitizing medical records
Description :
OCR can extract printed or handwritten text from images. In this case, it can be used to extract text from scanned medical records to produce a digital archive from paper-based documents. Identifying wildlife in an image is an example of a computer vision solution that uses object detection and is not suitable for OCR. Identifying a user requesting access to a laptop is done by taking images from the laptop’s webcam and using facial detection and recognition to identify the user requesting access. Translating speech to text is an example of using speech translation and uses the Speech service as part of Azure Cognitive Services.
References :
Read text with the Computer Vision service - Training | Microsoft Learn
Question 9
You need to predict the sea level in meters for the next 10 years.
Which type of machine learning should you use?
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| B. |
| C. |
Correct Answer : B. regression
Description :
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
Question 10
You run a charity event that involves posting photos of people wearing sunglasses on Twitter.
You need to ensure that you only retweet photos that meet the following requirements:
Include one or more faces.
Contain at least one person wearing sunglasses.
What should you use to analyze the images?
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| B. |
| C. |
| D. |
Correct Answer : D. the Detect operation in the Face service Most Voted
Description :
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/face/overview