AI-900 V2

AI-900 Microsoft Azure AI Fundamentals exam is a hot Microsoft certification exam, Exam4Training offers you the latest free online AI-900 dumps to practice. You can get online training in the following questions, all these questions are verified by Microsoft experts. If this exam changed, we will share new update questions.

Home » Microsoft » AI-900 V2

Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?

Leave a comment

Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?
A . Form Recognizer
B. Text Analytics
C. Ink Recognizer
D. Custom Vision

Answer: A

Explanation:

Accelerate your business processes by automating information extraction. Form Recognizer applies advanced machine learning to accurately extract text, key/value pairs, and tables from documents. With just a few samples, Form Recognizer tailors its understanding to your documents, both on-premises and in the cloud. Turn forms into usable data at a fraction of the time and cost, so you can focus more time acting on the information rather than compiling it.

Reference: https://azure.microsoft.com/en-us/services/cognitive-services/form-recognizer/

To complete the sentence, select the appropriate option in the answer area

Leave a comment

HOTSPOT

To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Reliability and safety: To build trust, it’s critical that AI systems operate reliably, safely, and consistently under normal circumstances and in unexpected conditions. These systems should be able to operate as they were originally designed, respond safely to unanticipated conditions, and resist harmful manipulation.

This is an example of which Microsoft guiding principle for responsible AI?

Leave a comment

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?
A . transparency
B. inclusiveness
C. fairness
D. privacy and security

Answer: A

Explanation:

Achieving transparency helps the team to understand the data and algorithms used to train the model, what transformation logic was applied to the data, the final model generated, and its associated assets. This information offers insights about how the model was created, which allows it to be reproduced in a transparent way.

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

This is an example of which type of machine learning?

Leave a comment

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?
A . clustering
B. regression
C. classification

Answer: C

Explanation:

Reference: https://docs.microsoft.com/en-us/learn/modules/create-classification-model-azure-machine-learning-designer/introduction

What should you do?

Leave a comment

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?
A . Set Validation type to Auto.
B. Enable Explain best model.
C. Set Primary metric to accuracy.
D. Set Max concurrent iterations to 0.

Answer: B

Explanation:

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.

Reference: https://azure.microsoft.com/en-us/blog/new-automated-machine-learning-capabilities-in-azure-machine-learning-service/

Which three processes should you perform in sequence before you deploy the model?

Leave a comment

DRAG DROP

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? To answer, move the appropriate processes from the list of processes to the answer area and arrange them in the correct order.

Answer:

Explanation:

Graphical user interface, text, application, chat or text message

Description automatically generated