This AI-900 practice question tests your understanding of describe fundamental principles of machine learning on azure. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A data scientist is building a machine learning model to predict the number of daily bike rentals in a city based on weather data and day of the week. The target variable is a continuous integer. Which type of machine learning task is this?
Classification
Why wrong: Classification predicts discrete labels, not continuous numbers.
Regression
Regression predicts a continuous value, such as the number of bike rentals.
Clustering
Why wrong: Clustering is an unsupervised technique that groups data based on similarities, without a predefined target.
Anomaly Detection
Why wrong: Anomaly detection identifies unusual data points, not a typical prediction of a continuous value.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Regression
The target variable is the number of daily bike rentals, which is a continuous integer (count). Predicting a continuous numeric value is a regression task. In Azure Machine Learning, regression algorithms such as Linear Regression, Decision Forest Regression, or Poisson Regression are used for this type of problem.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Classification
Why it's wrong here
Classification predicts discrete labels, not continuous numbers.
Regression
Why this is correct
Regression predicts a continuous value, such as the number of bike rentals.
Related concept
Read the scenario before looking for a memorised answer.
Clustering
Why it's wrong here
Clustering is an unsupervised technique that groups data based on similarities, without a predefined target.
Anomaly Detection
Why it's wrong here
Anomaly detection identifies unusual data points, not a typical prediction of a continuous value.
Common exam traps
The trap here is that candidates confuse 'continuous integer' with classification because the output is an integer, but the key is that it's a continuous range of possible values (e.g., 0 to 500+), not a fixed set of categories.
Trap categories for this question
Similar concept trap
Clustering is an unsupervised technique that groups data based on similarities, without a predefined target.
Detailed technical explanation
Regression models minimize a loss function like mean squared error (MSE) between predicted and actual values. For count data like bike rentals, Poisson regression or negative binomial regression are often more appropriate than ordinary least squares because they model the non-negative, discrete nature of counts. In Azure, the 'Poisson Regression' module in Designer explicitly handles such scenarios.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
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FAQ
Describe fundamental principles of machine learning on Azure — This question tests Describe fundamental principles of machine learning on Azure — Read the scenario before looking for a memorised answer..
The correct answer is: Regression — The target variable is the number of daily bike rentals, which is a continuous integer (count). Predicting a continuous numeric value is a regression task. In Azure Machine Learning, regression algorithms such as Linear Regression, Decision Forest Regression, or Poisson Regression are used for this type of problem.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
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