Microsoft Azure AI Fundamentals
Updated 17-Apr-2026
Access free AI-900 actual exam questions, verified answers and AI-powered explanations.
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?
Answer(s): B
For a machine learning process, how should you split data for training and evaluation?
The Split Data module is particularly useful when you need to separate data into training and testing sets. Use the Split Rows option if you want to divide the data into two parts. You can specify the percentage of data to put in each split, but by default, the data is divided 50-50. You can also randomize the selection of rows in each group, and use stratified sampling.
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/split-data
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?
Model Explain Ability.Most businesses run on trust and being able to open the ML “black box” helps build transparency and trust. In heavily regulated industries like healthcare and banking, it is critical to comply with regulations and best practices. One key aspect of this is understanding the relationship between input variables (features) and model output. Knowing both the magnitude and direction of the impact each feature (feature importance) has on the predicted value helps better understand and explain the model. With model explain ability, we enable you to understand feature importance as part of automated ML runs.
https://azure.microsoft.com/en-us/blog/new-automated-machine-learning-capabilities-in-azure-machine- learning-service/
HOTSPOT (Drag and Drop is not supported)For each of the following statements, select Yes if the statement is true. Otherwise, select No.NOTE: Each correct selection is worth one point.Hot Area:
Answer(s): A
Anomaly detection encompasses many important tasks in machine learning: Identifying transactions that are potentially fraudulent.Learning patterns that indicate that a network intrusion has occurred. Finding abnormal clusters of patients.Checking values entered into a system.
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/anomaly-detection
HOTSPOT (Drag and Drop is not supported)Select the answer that correctly completes the sentence.Hot Area:
Reliability and safety:AI systems need to be reliable and safe in order to be trusted. It is important for a system to perform as it was originally designed and for it to respond safely to new situations. Its inherent resilience should resist intended or unintended manipulation. Rigorous testing and validation should be established for operating conditions to ensure that the system responds safely to edge cases, and A/B testing and champion/challenger methods should be integrated into the evaluation process.An AI system's performance can degrade over time, so a robust monitoring and model tracking process needs to be established to reactively and proactively measure the model's performance and retrain it, as necessary,to modernize it.
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai
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?
Inclusiveness: At Microsoft, we firmly believe everyone should benefit from intelligent technology, meaning it must incorporate and address a broad range of human needs and experiences. For the 1 billion people with disabilities around the world, AI technologies can be a game-changer.
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles
You are building an AI system.Which task should you include to help the service meet the Microsoft transparency principle for responsible AI?
Answer(s): C
DRAG DROP (Drag and Drop is not supported)Match the types of AI workloads to the appropriate scenarios.To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.NOTE: Each correct selection is worth one point.Select and Place:
https://docs.microsoft.com/en-us/learn/paths/get-started-with-artificial-intelligence-on-azure/
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OLERATO 7/1/2025 5:44:14 AM
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