The Microsoft AI900 Exam Dumps page contains 50 real and latest questions for Microsoft Azure AI Fundamentals.
This certification allows you to demonstrate knowledge of machine learning and AI concepts and related Microsoft Azure services. Data science and software engineering experience are not required. However, you would benefit from having awareness of:
- Client-server applications
- Basic cloud concepts
You can use Azure AI Fundamentals to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.
Skills measured
- Describe Artificial Intelligence workloads and considerations
- Describe fundamental principles of machine learning on Azure
- Describe features of computer vision workloads on Azure
- Describe features of Natural Language Processing (NLP) workloads on Azure
- Describe features of generative AI workloads on Azure

Microsoft AI900 Exam Dumps
Q1. The handling of usual or missing values provided to an AI system is a consideration for the Microsoft _____ principle for responsible AI.

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai
Q2. A company employs a team of customer service agents to provide telephone and email support to customers. The company develops a webchat bot to provide automated answers to common customer queries.
Which business benefit should the company expect as a result of creating the webchat bot solution?
- increased sales
- a reduced workload for the customer service agents
- improved product reliability
Correct answer
2. a reduced workload for the customer service agents
Q3. You are designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments.
This is an example of which Microsoft’s guiding principle for responsible AI?
- fairness
- inclusiveness
- reliability and safety
- accountability
Correct answer
2. inclusiveness
Reference:
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles
Q4. When developing an AI system for seft-driving cars, the Microsoft ______ principle for responsible AI should be ensure consistent operation of the system during unexpected circumstances.

Correct answer

Reference:
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles
Q5. You are developing a model to predict events by using classification.
You have a confusion matrix for the model scored on test data as shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/evaluate-model-performance
Q6. Forecasting housing prices based on historical data is an example of anomaly detection. ______
Identifying suspicious sign-ins by looking for deviations from usual patterns is an example of anomaly detection. ______
Predicting whether a patient will develop diabetes based on the patient’s medical history is an example of anomaly detection. ______

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/anomaly-detection
Q7. You are building an AI system. Which task should you include to ensure that the service meets the Microsoft transparency principle for responsible AI?
- Ensure that all visuals have an associated text that can be read by a screen reader.
- Enable autoscaling to ensure that a service scales based on demand.
- Provide documentation to help developers debug code.
- Ensure that a training dataset is representative of the population.
Correct answer
3. Provide documentation to help developers debug code.
Reference:
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles
Q8. ______ used to extract dates, quantities, and locations from text.

Correct answer

Q9. Returning a bounding box that indicates the location of a vehicle in an image is an example of ______

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection
Q10. ______ is used to generate additional fearures.

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/create-features
Q11. When you design an AI system to assess whether loans should be approved, the factors used to make the decision should be explainable.
This is an example of which Microsoft guiding principle for responsible AI?
- transparency
- inclusiveness
- fairness
- privacy and security
Correct answer
1. transparency
Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/strategy/responsible-ai
Q12. ______ The system must not discriminate based on gender, race
______ Personal data must be visible only to approve
______ Automated decision-making processes must be recorded so that approved users can identify why a decision was made

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles
Q13. ______ Identify handwritten letters.
______ Predict the sentiment of a social media post
______ Identify a fraudulent credit card payment.
______ Predict next month’s toy sales

Correct answer

Reference:
https://docs.microsoft.com/en-us/learn/paths/get-started-with-artificial-intelligence-on-azure/
Q14. What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
- knowledgeability
- decisiveness
- inclusiveness
- fairness
- opinionatedness
- reliability and safety
Correct answer
3. inclusiveness
4. fairness
6. reliability and safety
Reference:
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles
Q15. For a machine learning progress, how should you split data for training and evaluation?
- Use features for training and labels for evaluation.
- Randomly split the data into rows for training and rows for evaluation.
- Use labels for training and features for evaluation.
- Randomly split the data into columns for training and columns for evaluation.
Correct answer
2. Randomly split the data into rows for training and rows for evaluation.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/split-data
Q16. You build a machine learning model by using the automated machine learning user interface (UI).
You need to ensure that the model meets the Microsoft transparency principle for responsible AI.
What should you do?
- Set Validation type to Auto.
- Enable Explain best model.
- Set Primary metric to accuracy.
- Set Max concurrent iterations to 0.
Correct answer
2. Enable Explain best model.
Q17. ______ An automated chat to answer questions about refunds and exchange
______ Determining whether a photo contains a person
______ Determining whether a review is positive or negative

Correct answer

Q18. ______ Ensure that Al systems operate as they were originally designed, respond to unanticipated conditions, and resist harmful manipulation.
______ Implementing processes to ensure that decisions made by Al systems can be overridden by humans
______ Provide consumers with information and controls over the collection, use, and storage of their data

Correct answer

Reference:
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles
Q19. You run a charity event that involves posting photos of people wearing sunglasses on Twitter.
You need to ensure that you only retweet photos that meet the following requirements:
-> Include one or more faces.
-> Contain at least one person wearing sunglasses.
What should you use to analyze the images?
- the Verify operation in the Face service
- the Detect operation in the Face service
- the Describe Image operation in the Computer Vision service
- the Analyze Image operation in the Computer Vision service
Correct answer
2. the Detect operation in the Face service
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/face/overview
Q20. Providing an explanation of the outcome of a credit loan application is an example of the Microsoft transparency principle for responsible Al ______
A triage bot that prioritizes insurance claims based on injuries is an example of the Microsoft reliability and safety principle for responsible Al ______
An Al solution that is offered at different prices for different sales territories is an example of the Microsoft inclusiveness principle for responsible Al ______

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai
Q21. The ability to extract subtotals and totals from a receipt is a capability of the ______ service.

Correct answer

Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/form-recognizer/
Q22. You use Azure Machine Learning designer to publish an inference pipeline.
Which two parameters should you use to access the web service? Each correct answer presents part of the solution.
- the model name
- the training endpoint
- the authentication key
- the REST endpoint
Correct answer
3. the authentication key
4. the REST endpoint
Q23. ______ Examining the values of a confusion matrix
______ Splitting a date into month, day, and year fields
______ Picking temperature and pressure to train a weather model

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/evaluate-model-performance
https://docs.microsoft.com/en-us/azure/machine-learning/concept-automated-ml
Q24. Data values that influence the prediction of a model are called ______

Correct answer

Q25. You plan to deploy an Azure Machine Learning model as a service that will be used by client applications.
Which three processes should you perform in sequence before you deploy the model?

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-ml-pipelines
Q26. You are building an AI-based app. You need to ensure that the app uses the principles for responsible AI.
Which two principles should you follow?
- Implement an Agile software development methodology
- Implement a process of AI model validation as part of the software review process
- Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer
- Prevent the disclosure of the use of AI-based algorithms for automated decision making
Correct answer
2. Implement a process of AI model validation as part of the software review process
3. Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer
Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/3-implications-responsible-ai-practical
Q27. You need to predict the sea level in meters for the next 10 years.
Which type of machine learning should you use?
- classification
- regression
- clustering
Correct answer
2. regression
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression
Q28. Automated machine learning is the process of automating the time-consuming, iterative tasks of machine learning model development. ______
Automated machine learning can automatically infer the training data from the use case provided. ______
Automated machine learning works by running multiple training iterations that are scored and ranked by the metrics you specify. ______
Automated machine learning enables you to specify a dataset and will automatically understand which label to predict. ______

Correct answer

Q29. You are evaluating whether to use a basic workspace or an enterprise workspace in Azure Machine Learning.
What are two tasks that require an enterprise workspace?
- Use a graphical user interface (GUI) to run automated machine learning experiments.
- Create a compute instance to use as a workstation.
- Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer.
- Create a dataset from a comma-separated value (CSV) file.
Correct answer
1. Use a graphical user interface (GUI) to run automated machine learning experiments.
3. Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer.
Reference:
https://www.azure.cn/en-us/pricing/details/machine-learning/
https://docs.microsoft.com/en-us/azure/machine-learning/concept-workspace
Q30. You need to predict the income range of a given customer by using the following dataset.

Which two fields should you use as features?
- Education Level
- Last Name
- Age
- Income Range
- First Name
Correct answer
1. Education Level
3. Age
Q31. From Azure Machine Learning designer, to deploy a real-time inference pipeline as a service for others to consume, you must deploy the model to ______

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer#deploy
Q32. You are designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments.
This is an example of which Microsoft guiding principle for responsible AI?
- fairness
- inclusiveness
- reliability and safety
- accountability
Correct answer
2. inclusiveness
Reference:
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles
Q33. You have the Predicted vs. True chart shown in the following exhibit.

Which type of model is the chart used to evaluate?
- classification
- regression
- clustering
Correct answer
2. regression
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-m
Q34. Which type of machine learning should you use to predict the number of gift cards that will be sold next month?
- classification
- regression
- clustering
Correct answer
2. regression
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression
Q35. According to Microsoft’s ______ principle of responsible Al, Al systems should NOT reflect biases from the data sets that are used to train the systems.

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai
Q36. According to Microsoft’s ______ principle of responsible Al, Al systems should NOT reflect biases from the data sets that are used to train the systems.

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai
Q37. A banking system that predicts whether a loan will be repaid is an example of the ______ type of machine learning.

Correct answer

Q38. Labeling is the process of tagging training data with known values. ______
You should evaluate a model by using the same data used to train the model. ______
Accuracy is always the primary metric used to measure a model’s performance correct selection is worth one point. ______

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/evaluate-model-performance
Q39. 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?
- Custom Vision
- Form Recognizer
- Face
- Computer Vision
Correct answer
1. Custom Vision
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/overview
Q40. Organizing documents into groups based on similarities of the text contained in the documents is an example of clustering. ______
Grouping similar patients based on symptoms and diagnostic test results is an example of clustering. ______
Predicting whether a person will develop mild, moderate, or severe allergy symptoms based on pollen count is an example of clustering. ______

Q41. Azure Machine Learning designer provides a drag-and-drop visual canvas to build, test, and deploy machine learning models. ______
Azure Machine Learning designer enables you to save your progress as a pipeline draft. ______
Azure Machine Learning designer enables you to include custom JavaScript functions. ______

Q42. You have a dataset that contains information about taxi journeys that occurred during a given period.
You need to train a model to predict the fare of a taxi journey.
What should you use as a feature?
- the number of taxi journeys in the dataset
- the trip distance of individual taxi journeys
- the fare of individual taxi journeys
- the trip ID of individual taxi journeys
Correct answer
2. the trip distance of individual taxi journeys
Reference:
https://docs.microsoft.com/en-us/dotnet/machine-learning/tutorials/predict-prices
Q43. ______ An automated chatbot to answer questions about refunds and exchanges
______ Determining whether a photo contains a person
______ Determining whether a review is positive or negative

Correct answer

Q44. Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?
- Form Recognizer
- Text Analytics
- Language Understanding
- Custom Vision
Correct answer
1. Form Recognizer
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/form-recognizer/
Q45. A validation set includes the set of input examples that will be used to train a mode. ______
A validation set can be used to determine how well a model predicts labels. ______
A validation set can be used to verify that all the training data was used to train the model. ______

Correct answer

Q46. You have the following dataset.

You plan to use the dataset to train a model that will predict the house price categories of houses.
What are Household Income and House Price Category?

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio/interpret-model-results
Q47. Azure Machine Learning designer lets you create machine learning models by ______

Q48. Automated machine learning provides you with the ability to include O custom Python scripts in a training pipeline. ______
Automated machine learning implements machine learning solutions O without the need for programming experience. ______
Automated machine learning provides you with the ability to visually connect datasets and modules on an interactive canvas. ______

Correct answer

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-designer-python
https://docs.microsoft.com/en-us/azure/machine-learning/concept-automated-ml
Q49. A medical research project uses a large anonymized dataset of brain scan images that are categorized into predefined brain haemorrhage types.
You need to use machine learning to support early detection of the different brain haemorrhage types in the images before the images are reviewed by a person.
This is an example of which type of machine learning?
- clustering
- regression
- classification
Correct answer
3. classification
Q50. When training a model, why should you randomly split the rows into separate subsets?
- to train the model twice to attain better accuracy
- to train multiple models simultaneously to attain better performance
- to test the model by using data that was not used to train the model
Correct answer
3. to test the model by using data that was not used to train the model