Download AI-900 Exam Dumps Questions to get 100% Success in Microsoft [Q36-Q54]

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Download AI-900 Exam Dumps Questions to get 100% Success in Microsoft

100% Accurate Answers! AI-900 Actual Real Exam Questions

Microsoft AI-900 exam is an entry-level certification exam offered by Microsoft to validate knowledge and understanding of the fundamental concepts of Artificial Intelligence (AI) and its implementation on the Azure platform. AI-900 exam is ideal for individuals who are new to the field of AI and want to showcase their expertise in this area.

The Microsoft Azure AI Fundamentals certification exam consists of 40-60 multiple choice questions that candidates must complete within 85 minutes. AI-900 exam can be taken in-person at a testing center or online from the comfort of your own home. To prepare for the exam, Microsoft offers a range of study materials, including online training courses, practice exams, and study guides. Additionally, candidates can also find third-party study materials and practice exams online.

Q36. Match the types of computer vision 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.

Q37. For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

Q38. You have the following apps:
* App1: Understands the public perception of a brand or topic
* App2: Applies profanity filters to speech-to-text
What does each app use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Q39. To complete the sentence, select the appropriate option in the answer area.

Q40. You send an image to a Computer Vision API and receive back the annotated image shown in the exhibit.

Which type of computer vision was used?

object detection

semantic segmentation

optical character recognition (OCR)

image classification

Q41. For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Q42. To complete the sentence, select the appropriate option in the answer area.

Q43. To complete the sentence, select the appropriate option in the answer area.

Q44. Select the answer that correctly completes the sentence.

Q45. For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Q46. Select the answer that correctly completes the sentence.

Q47. For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Q48. For each of the following statements, select Yes If the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Q49. You send an image to a Computer Vision API and receive back the annotated image shown in the exhibit.

Which type of computer vision was used?

object detection

semantic segmentation

optical character recognition (OCR)

image classification

Q50. For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Explanation:
Statements
Yes
No
A bot that responds to queries by internal users is an example of a conversational AI workload.
# Yes
An application that displays images relating to an entered search term is an example of a conversational AI workload.
# No
A web form used to submit a request to reset a password is an example of a conversational AI workload.
# No
According to the Microsoft Azure AI Fundamentals (AI-900) official study materials, conversational AI workloads are those that enable interaction between humans and AI systems through natural language conversation, either by text or speech. These workloads are typically implemented using Azure Bot Service, Azure Cognitive Services for Language, and Azure OpenAI Service. The key characteristic of a conversational AI workload is the presence of dialogue-the AI interprets user intent and provides a meaningful, contextual response in a conversation-like manner.
* “A bot that responds to queries by internal users is an example of a conversational AI workload.” # YESThis fits the definition perfectly. A chatbot that helps employees (internal users) by answering questions about policies, IT issues, or HR procedures is a typical example of conversational AI. It uses natural language understanding to interpret questions and provide automated responses. Microsoft Learn explicitly identifies chatbots as conversational AI solutions designed for both internal and external interactions.
* “An application that displays images relating to an entered search term is an example of a conversational AI workload.” # NOThis is not conversational AI because there is no dialogue or language understanding involved. It is an example of information retrieval or computer vision if it uses image recognition, but not conversation.
* “A web form used to submit a request to reset a password is an example of a conversational AI workload.” # NOA password reset form is a simple UI-driven process that doesn’t require AI or conversational logic. It performs a fixed function based on user input but does not understand or respond to natural language.
Therefore, based on the AI-900 study guide, only the first statement is an example of a conversational AI workload, while the second and third statements are not.

Q51. For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Q52. You need to predict the income range of a given customer by using the following dataset.

Which two fields should you use as features? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

Education Level

Last Name

Age

Income Range

First Name

Q53. To complete the sentence, select the appropriate option in the answer area.
Computer vision capabilities can be Deployed to………………..

Q54. You need to use Azure Machine Learning designer to build a model that will predict automobile prices.
Which type of modules should you use to complete the model? To answer, drag the appropriate modules to the correct locations. Each module may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

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