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
HOTSPOT -
To complete the sentence, select the appropriate option in the answer area.
Hot Area:
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Correct Answer : D. reliability and safety
Description :
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.
Reference:
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles
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Question 2
What are two metrics that you can use to evaluate a regression model? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. coefficient of determination (R2)
B. F1 score
C. root mean squared error (RMSE)
D. balanced accuracy
E. area under curve (AUC)
| A. |
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Correct Answer : B. AC
Description :
A: R-squared (R2), or Coefficient of determination represents the predictive power of the model as a value between -inf and 1.00. 1.00 means there is a perfect fit, and the fit can be arbitrarily poor so the scores can be negative.
C: RMS-loss or Root Mean Squared Error (RMSE) (also called Root Mean Square Deviation, RMSD), measures the difference between values predicted by a model and the values observed from the environment that is being modeled.
Incorrect Answers:
B: F1 score also known as balanced F-score or F-measure is used to evaluate a classification model.
D: aucROC or area under the curve (AUC) is used to evaluate a classification model.
Reference:
https://docs.microsoft.com/en-us/dotnet/machine-learning/resources/metrics
Question 3
In which two scenarios can you use the Form Recognizer service? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Extract the invoice number from an invoice.
B. Find image of product in a catalog.
C. Translate a form from French to English.
D. Identify the retailer from a receipt.
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| B. |
| C. |
| D. |
Correct Answer : A. AD
Description :
https://azure.microsoft.com/en-gb/services/cognitive-services/form-recognizer/#features
Question 4
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:
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| B. |
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| 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 5
HOTSPOT -
To complete the sentence, select the appropriate option in the answer area.
Hot Area:
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Correct Answer : A. classification
Description :
Two-class classification provides the answer to simple two-choice questions such as Yes/No or True/False.
Question 6
Which analytical task of the computer vision service returns bounding box coordinates?
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Correct Answer : C. object detection
Description :
Detecting objects identifies common objects and, for each, returns bounding box coordinates. Image categorization assigns a category to an image, but it does not return bounding box coordinates. Tagging involves associating an image with metadata that summarizes the attributes of the image, but it does not return bounding box coordinates. OCR detects printed and handwritten text in images, but it does not return bounding box coordinates.
References :
Get started with image analysis on Azure - Training | Microsoft Learn
Question 7
A retailer wants to group together online shoppers that have similar attributes to enable its marketing team to create targeted marketing campaigns for new product launches. Which type of machine learning is this?
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| D. |
Correct Answer : C. clustering
Description :
Clustering is a machine learning type that analyzes unlabeled data to find similarities present in the data. It then groups (clusters) similar data together. In this example, the company can group online customers based on attributes that include demographic data and shopping behaviors. The company can then recommend new products to those groups of customers who are most likely to be interested in them. Classification and multiclass classification are used to predict categories of data. Regression is a machine learning scenario that is used to predict numeric values.
References :
Create a regression model with Azure Machine Learning designer - Training | Microsoft Learn
Question 8
What allows you to identify different types of bone fractures in X-ray images?
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Correct Answer : C. image classification
Description :
Image classification is part of computer vision and can be used to evaluate images from an X-ray machine to quickly classify specific bone fracture types. This helps improve diagnosis and treatment plans. An image classification model is trained to facilitate the categorizing of the bone fractures. Object detection is used to return identified objects in an image, such as a cat, person, or chair. Conversational AI is used to create intelligent bots that can interact with people by using natural language. Facial detection is used to detect the location of human faces in an image.
References :
Classify images with the Custom Vision service - Training | Microsoft Learn
Question 9
Which three parts of the machine learning process does the computer vision service eliminate the need for? Each correct answer presents part of the solution.
Select all answers that apply.
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| E. |
Correct Answer : A. choosing a model, B. training a model, E. evaluating a model
Description :
The computer vision service eliminates the need for choosing, training, and evaluating a model by providing pre-trained models. To use computer vision, you must create an Azure resource. The use of computer vision involves inferencing.
References :
Introduction - Training | Microsoft Learn
Question 10
HOTSPOT -
To complete the sentence, select the appropriate option in the answer area.
Hot Area:
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| C. |
| D. |
Correct Answer : A. Feature engineering
Description :
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/create-features