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 741
You need to create a training dataset and validation dataset from an existing dataset.
Which module in the Azure Machine Learning designer should you use?
A. Select Columns in Dataset
B. Add Rows
C. Split Data
D. Join Data
Answer
C. Split Data
Explanation
A common way of evaluating a model is to divide the data into a training and test set by using Split Data, and then validate the model on the training data.
Use the Split Data module to divide a dataset into two distinct sets.
The studio currently supports training/validation data splits
Question 742
DRAG DROP -Match the types of machine learning to the appropriate scenarios. To answer, drag the appropriate machine learning type from the column on the left to its scenario on the right. Each machine learning type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Learning Types:
- Classification
- Clustering
- Regression
Answer Area:
- Predict how many minutes late a flight will arrive based on the amount of snowfall at an airport.
- Segment customers into different groups to support a marketing department.
- Predict whether a student will complete a university course.
Answer
- Regression: Predict how many minutes late a flight will arrive based on the amount of snowfall at an airport.
- Clustering: Segment customers into different groups to support a marketing department.
- Classification: Predict whether a student will complete a university course.
Explanation
Box 1: Regression -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.
Box 2: Clustering -Clustering, in machine learning, is a method of grouping data points into similar clusters. It is also called segmentation. Over the years, many clustering algorithms have been developed. Almost all clustering algorithms use the features of individual items to find similar items. For example, you might apply clustering to find similar people by demographics. You might use clustering with text analysis to group sentences with similar topics or sentiment.
Box 3: Classification -Two-class classification provides the answer to simple two-choice questions such as Yes/No or True/False.
Question 743
To complete the sentence, select the appropriate option in the answer area.
__________ is the calculated probability of a correct image classification.
A. Accuracy
B. Confidence
C. Root Mean Square Error
D. Sentiment
Answer
A. Accuracy
Question 744
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: The Custom Vision service can be used to detect objects in an image.
Statement 2: The Custom Vision service requires that you provide your own data to train the model.
Statement 3: The Custom Vision service can be used to analyze video files.
Answer
Statement 1: The Custom Vision service can be used to detect objects in an image. Yes
Statement 2: The Custom Vision service requires that you provide your own data to train the model. Yes
Statement 3: The Custom Vision service can be used to analyze video files. No
Explanation
Box 1: Yes -Custom Vision functionality can be divided into two features. Image classification applies one or more labels to an image. Object detection is similar, but it also returns the coordinates in the image where the applied label(s) can be found.
Box 2: Yes -The Custom Vision service uses a machine learning algorithm to analyze images. You, the developer, submit groups of images that feature and lack the characteristics in question. You label the images yourself at the time of submission. Then, the algorithm trains to this data and calculates its own accuracy by testing itself on those same images.
Box 3: No -Custom Vision service can be used only on graphic files.
Question 745
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.
Question 746
You need to create a training dataset and validation dataset from an existing dataset. Which module in the Azure Machine Learning designer should you use?
A. Select Columns in Dataset
B. Add Rows
C. Split Data
D. Join Data
Answer
C. Split Data
Explanation
A common way of evaluating a model is to divide the data into a training and test set by using Split Data, and then validate the model on the training data. Use the Split Data module to divide a dataset into two distinct sets. The studio currently supports training/validation data splits
Question 747
You are building a QnA Maker knowledge base through the QnA Maker portal. In which of the following ways can you populate the knowledge base?
A. Generate from an existing FAQ document or web page
B. Enter and edit manually
C. By specifying a SQL database as a back-end
D. Import from a pre-defined chit-chat data source
Answer
A. Generate from an existing FAQ document or web page
B. Enter and edit manually
D. Import from a pre-defined chit-chat data source
Explanation
Questions and answers can be provided in the following manner: generated from an existing FAQ document or web page, imported from a pre-defined chit-chat data source, or entered and edited manually.
Question 748
To consolidate questions in a knowledge base, what do you need to do?
A. Use alternative phrasing
B. Repeat the same question several times
C. Set a confidence score on the question
Answer
A. Use alternative phrasing
Explanation
Questions in the knowledge base can be assigiend alternative phrasing to help consolidate questions with the same meaning.
Question 749
You are building a user support bot solution with QnA Maker. What’s the most efficient way to test your knowledge base, after creating it?
A. Making REST API calls to the service
B. Publishing the service and testing it from a custom-built application
C. Using the built-in test interface in QnA Maker portal
Answer
C. Using the built-in test interface in QnA Maker portal
Explanation
After training, you can use the built-in test interface in the QnA Maker portal to test your knowledge base by submitting questions and reviewing the answers that are returned.
Question 750
You have published your QnA Maker knowledge base and now you want to permit your client applications to use its REST interface. Which of the following do client applications need to access the knowledge base?
Select all options that apply.
A. The knowledge base connection string
B. The knowledge base ID
C. The knowledge base authorization key
D. The knowledge base endpoint
Answer
B. The knowledge base ID
C. The knowledge base authorization key
D. The knowledge base endpoint
Explanation
To access the knowledge base, client applications require: the knowledge base ID, the knowledge base endpoint, and the knowledge base authorization key.