Cisco
CompTIA
ISC
EC-Council
EXIN
Fortinet
ITIL
Juniper
Microsoft
VMware
Avaya
SAP
Google
NVIDIA
Salesforce
Amazon
Palo Alto Networks
ISC2
Splunk
ServiceNow
All Vendors
  2. Home
  3. Exams
  4. Microsoft
  5. AI-900

Microsoft AI-900 Exam Questions
Microsoft Azure AI Fundamentals (Page 11 )

Updated On: 24-Feb-2026
Page 11 of 62
PDF with 303 Questions

You are building an AI-based loan approval app.

You need to ensure that the app documents why a loan is approved or rejected and makes the report available to the applicant.

This is an example of which Microsoft responsible AI principle?

  1. transparency
  2. inclusiveness
  3. fairness
  4. accountability

Answer(s): A

Explanation:

Transparency: AI systems should be transparent and understandable. AI systems might help inform decisions that have great impact on people's lives, so it's important that people understand how these decisions are made.


Reference:

https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/strategy/responsible-ai



HOTSPOT (Drag and Drop is not supported)

Select the answer that correctly completes the sentence.

Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:




Box: fairness

Fairness: AI systems should treat all people fairly. The same recommendations should be made to everyone. Fairness is important to ensure that AI systems don't discriminate against people based on their personal characteristics.

Note: Design your bot so that it respects relevant cultural norms and guards against misuse.

Since bots may have human-like personas, it is especially important that they interact respectfully and safely with users and have built-in safeguards and protocols to handle misuse and abuse.

* Limit the surface area for norms violations where possible.

* Where appropriate, point to a relevant "code of conduct" for users.

*-> Apply machine learning techniques and keyword filtering mechanisms to enable your bot to detect and -- critically -- respond appropriately to sensitive or offensive input from users.


Reference:

https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/strategy/responsible-ai https://www.microsoft.com/en-us/research/uploads/prod/2018/11/Bot_Guidelines_Nov_2018.pdf



DRAG DROP (Drag and Drop is not supported)

Match the AI workload to the appropriate task.

To answer, drag the appropriate AI workload from the column on the left to its task on the right. Each workload may be used once, more than once, or not at all.

Note: Each correct match is worth one point.

Select and Place:

  1. See Explanation section for answer.

Answer(s): A

Explanation:




Azure AI Document Intelligence - Extract data from medical admission forms for import into a patient tracking database.
Azure AI Document Intelligence specializes in extracting structured information from documents, such as forms, invoices, or medical records.

Generative AI - Analyze aerial photos to identify flooded areas. Computer vision is used to analyze and interpret images or videos, making it suitable for identifying features like flooded areas in aerial photos.

Computer Vision - Analyze aerial photos to identify flooded areas. Computer vision is used to analyze and interpret images or videos, making it suitable for identifying features like flooded areas in aerial photos.



Stating the source of the data used to train a model is an example of which responsible AI principle?

  1. transparency
  2. privacy and security
  3. fairness
  4. reliability and safety

Answer(s): A

Explanation:

Transparency in AI refers to openly sharing information about how an AI system is designed, trained, and operates. Stating the source of the data used to train a model is an example of transparency, as it provides clarity about the origins of the data and helps stakeholders understand the model's development process.



HOTSPOT (Drag and Drop is not supported)

Select the answer that correctly completes the sentence.

Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:




Box: document Intelligence
A ____________ solution can be used to extract data from scanned invoices.

The Document Intelligence invoice model uses powerful Optical Character Recognition (OCR) capabilities to analyze and extract key fields and line items from sales invoices, utility bills, and purchase orders.


Reference:

https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/prebuilt/invoice






Post your Comments and Discuss Microsoft AI-900 exam dumps with other Community members:

Join the AI-900 Discussion