Practice Exam Questions

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Question 1

What is the primary purpose of Automated Machine Learning (AutoML) in Azure?

A. To replace data scientists
B. To automatically label data
C. To select and optimize machine learning models
D. To deploy models without evaluation

Correct Answer: C

Explanation:
AutoML automatically selects algorithms and tunes parameters to identify the best-performing model for a given dataset.

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Question 2

Which machine learning scenarios are supported by Azure Automated Machine Learning?

A. Clustering only
B. Regression and classification
C. Reinforcement learning
D. Rule-based automation

Correct Answer: B

Explanation:
AutoML supports supervised learning scenarios such as regression and classification, which are core to AI-900.

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Question 3

How does AutoML reduce the need for deep machine learning expertise?

A. By eliminating the need for training data
B. By automatically selecting models and hyperparameters
C. By generating business requirements
D. By replacing human oversight

Correct Answer: B

Explanation:
AutoML handles model selection and hyperparameter tuning automatically, reducing manual effort and expertise requirements.

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Question 4

Which task is handled automatically by Azure AutoML?

A. Defining business objectives
B. Cleaning poor-quality data
C. Hyperparameter tuning
D. Approving model deployment

Correct Answer: C

Explanation:
AutoML automatically adjusts hyperparameters to improve model performance.

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Question 5

A team wants to quickly build a sales forecasting model with minimal manual configuration.
Which Azure capability should they use?

A. Azure Cognitive Services
B. Azure Bot Service
C. Automated Machine Learning
D. Azure Logic Apps

Correct Answer: C

Explanation:
AutoML is designed to quickly build supervised ML models, including time-series forecasting.

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Question 6

Which statement about Automated Machine Learning is TRUE?

A. AutoML guarantees perfect model accuracy
B. AutoML removes the need for human review
C. AutoML compares multiple models automatically
D. AutoML works only with unlabeled data

Correct Answer: C

Explanation:
AutoML evaluates and compares multiple models to identify the best-performing option.

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Question 7

Which Azure service provides Automated Machine Learning capabilities?

A. Azure Functions
B. Azure Machine Learning
C. Azure App Service
D. Azure Synapse Analytics

Correct Answer: B

Explanation:
Automated Machine Learning is a feature within Azure Machine Learning.

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Question 8

What is a key benefit of using AutoML?

A. Manual feature engineering
B. Faster model development
C. Elimination of data preparation
D. Guaranteed regulatory compliance

Correct Answer: B

Explanation:
AutoML speeds up model development by automating model selection, tuning, and evaluation.

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Question 9

Which of the following is NOT a capability of Automated Machine Learning?

A. Automatic model evaluation
B. Automatic algorithm selection
C. Automatic business decision-making
D. Hyperparameter tuning

Correct Answer: C

Explanation:
AutoML supports model creation and evaluation but does not make business decisions.

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Question 10

Why is Automated Machine Learning especially useful for beginners?

A. It removes the need for labeled data
B. It eliminates model deployment steps
C. It simplifies model creation and experimentation
D. It replaces Azure Machine Learning

Correct Answer: C

Explanation:
AutoML simplifies experimentation by automating many steps involved in building machine learning models.

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Exam Strategy Tip

On AI-900, think of AutoML as a productivity accelerator:

• You provide the data and goal
• AutoML handles model selection, tuning, and evaluation
• Humans still review and deploy the model

If a question mentions automatic selection, minimal configuration, or quick model building, the answer is might be related to Automated Machine Learning.

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