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 821
Let’s suppose you are working on an Al application that should predict the weather. From the dataset you have, you want to pick temperature and pressure to train the model. Which machine learning task enables you to do that?
A. Feature selection
B. Model training
C. Feature engineering
Answer
A. Feature selection
Explanation
Feature selection is the process of selecting a subset of relevant, useful features to use in building an analytical model.
Question 822
When working in Azure Machine Learning designer, it is possible to save your progress as a pipeline draft. True or False?
A. True
B. False
Answer
A. True
Explanation
Azure Machine Learning designer offers the possibility to save progress as a pipeline draft.
Question 823
Predicting whether someone uses a bicycle to travel to work based on the distance from home to work is a use case for?
A. Regression
B. Clustering
C. Classification
Answer
C. Classification
Explanation
Classification is a supervised machine learning technique used to predict categories or classes.
Question 824
Accuracy is always the primary metric used to measure a model’s performance. True or False?
A. True
B. False
Answer
B. False
Explanation
There are different metrics that can be used to measure a model’s performance.
Question 825
Automated machine learning is the process of automating the time consuming, iterative tasks of machine learning model development. True or False?
A. True
B. False
Answer
A. True
Explanation
Automated machine learning is the process of automating the time consuming, iterative tasks of machine learning model development.
Question 826
Which module in the Azure Machine Learning designer should you use if you want to create a training dataset and a validation dataset from an existing dataset?
A. Add rows
B. Split data
C. Select columns in dataset
D. Join data
Answer
B. Split data
Explanation
Datasets can be split into training datasets and validation datasets by splitting the data.
Question 827
You want to create a CRM application that uses Al to segment customers into different groups to support a marketing department. Which machine learning type should you use?
A. Clustering
B. Regression
C. Classification
Answer
C. Classification
Question 828
Suppose you need to develop a web-based Al solution for a customer support system. Users will interact with a web app that will guide them to the best resource or answer. Which service should you use?
A. QnA Maker
B. Custom Vision
C. Translator Text
D. Face
Answer
A. QnA Maker
Explanation
QnA Maker is a cloud-based API service that lets you create a conversational question-and-answer layer over your existing data.
Question 829
Identifying suspicious sign-ins by looking for deviations from usual patterns is an example of anomaly detection. True or False?
A. True
B. False
Answer
A. True
Explanation
Anomaly detection identifies data points, events, and/or observations that deviate from a dataset’s normal behaviour.
Question 830
Ensuring that Al systems operate as they were intended, respond to unanticipated conditions, and resist harmful manipulations is a consideration of which responsible Al principle?
A. Fairness
B. Accountability
C. Reliability and safety
Answer
C. Reliability and safety
Explanation
The principle of reliability and safety states that Al systems should perform reliably and safely.