The latest Microsoft AI-900 Azure AI Fundamentals certification actual real practice exam question and answer (Q&A) dumps are available free, which are helpful for you to pass the Microsoft AI-900 Azure AI Fundamentals exam and earn Microsoft AI-900 Azure AI Fundamentals certification.
Table of Contents
Question 731
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
Answer
A. Custom Vision
Question 732
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Statement 1: Organizing documents into groups based on similarities of the text contained in the documents is an example of clustering.
Statement 2: Grouping similar patients based on symptoms and diagnostic test results is an example of clustering.
Statement 3: Predicting whether a person will develop mild, moderate, or severe allergy symptoms based on pollen count is an example of clustering.
Answer
Statement 1: Organizing documents into groups based on similarities of the text contained in the documents is an example of clustering. Yes
Statement 2: Grouping similar patients based on symptoms and diagnostic test results is an example of clustering. Yes
Statement 3: Predicting whether a person will develop mild, moderate, or severe allergy symptoms based on pollen count is an example of clustering. No
Explanation
- Clustering is a machine learning task that is used to group instances of data into clusters that contain similar characteristics. Clustering can also be used to identify relationships in a dataset.
- Regression is a machine learning task that is used to predict the value of the label from a set of related features.
Question 733
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Statement 1: A validation set includes the set of input examples that will be used to train a mode.
Statement 2: A validation set can be used to determine how well a model predicts labels.
Statement 3: A validation set can be used to verify that all the training data was used to train the model.
Answer
Statement 1: A validation set includes the set of input examples that will be used to train a mode. No
Statement 2: A validation set can be used to determine how well a model predicts labels. Yes
Statement 3: A validation set can be used to verify that all the training data was used to train the model. No
Explanation
Box 1: No -The validation dataset is different from the test dataset that is held back from the training of the model.
Box 2: Yes -A validation dataset is a sample of data that is used to give an estimate of model skill while tuning model’s hyperparameters.
Box 3: No -The Test Dataset, not the validation set, used for this. The Test Dataset is a sample of data used to provide an unbiased evaluation of a final model fit on the training dataset.
Question 734
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. area under curve (AUC)
E. balanced accuracy
Answer
A. coefficient of determination (R2)
C. root mean squared error (RMSE)
Explanation
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.
Question 735
To complete the sentence, select the appropriate option in the answer
Predicting how many vehicles will travel across a bridge on a given day is an example of __________.
A. classification
B. clustering
C. regression
Answer
C. regression
Explanation
Regression is a machine learning task that is used to predict the value of the label from a set of related features.
Question 736
DRAG DROP
You need to use Azure Machine Learning designer to build a model that will predict automobile prices.
Which type of modules should you use to complete the model?
To answer, drag the appropriate modules to the correct locations. Each module may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point. Select and Place:
Modules:
- Convert to CSV
- K-Means Clustering
- Linar Regression
- Split Data
- Select Columns in Dataset
- Summarize Data
Answer
Explanation
Box 1: Select Columns in Dataset
For Columns to be cleaned, choose the columns that contain the missing values you want to change. You can choose multiple columns, but you must use the same replacement method in all selected columns.
Box 2: Split data -Splitting data is a common task in machine learning. You will split your data into two separate datasets. One dataset will train the model and the other will test how well the model performed.
Box 3: Linear regression -Because you want to predict price, which is a number, you can use a regression algorithm. For this example, you use a linear regression model.
Question 737
Which type of machine learning should you use to identify groups of people who have similar purchasing habits?
A. classification
B. regression
C. clustering
Answer
C. clustering
Explanation
Clustering is a machine learning task that is used to group instances of data into clusters that contain similar characteristics. Clustering can also be used to identify relationships in a dataset
Question 738
To complete the sentence, select the appropriate option in the answer
__________ models can be used to predict the scale price of auctioned items.
A. Classification
B. Clustering
C. Regression
Answer
C. Regression
Explanation
Regression is a machine learning task that is used to predict the value of the label from a set of related features.
Question 739
Which metric can you use to evaluate a classification model?
A. true positive rate
B. mean absolute error (MAE)
C. coefficient of determination (R2)
D. root mean squared error (RMSE)
Answer
A. true positive rate
Explanation
What does a good model look like?
An ROC curve that approaches the top left corner with 100% true positive rate and 0% false positive rate will be the best model. A random model would display as a flat line from the bottom left to the top right corner. Worse than random would dip below the y=x line.
Question 740
Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. dataset
B. compute
C. pipeline
D. module
Answer
A. dataset
D. module
Explanation
You can drag-and-drop datasets and modules onto the canvas.