Updated AI-900 Dumps | Lab AI-900 Questions

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Microsoft AI-900 Exam Syllabus Topics:

SectionWeightObjectives
Describe features of computer vision workloads on Azure15-20%- Identify Azure AI services for computer vision
- Describe Azure capabilities for computer vision
- Identify common computer vision tasks
Describe features of Generative AI workloads on Azure15-20%- Describe Azure OpenAI Service capabilities
- Describe generative AI concepts
- Identify responsible AI considerations for generative AI
Describe AI workloads and considerations15-20%- Identify features of common AI workloads
- Identify guiding principles for responsible AI
Describe features of Natural Language Processing (NLP) workloads on Azure15-20%- Identify Azure AI services for NLP
- Identify common NLP tasks
- Describe Azure capabilities for NLP
Describe fundamental principles of machine learning on Azure30-35%- Describe core machine learning concepts
- Describe Azure Machine Learning capabilities
- Describe features of no-code automated ML
- Identify common machine learning tasks

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Lab Microsoft AI-900 Questions | Certification AI-900 Test Answers

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Microsoft Azure AI Fundamentals Sample Questions (Q18-Q23):

NEW QUESTION # 18
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 19
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:


NEW QUESTION # 20
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.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing


NEW QUESTION # 21
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.

Answer:

Explanation:

Explanation

Reference:
https://docs.microsoft.com/en-us/learn/paths/get-started-with-artificial-intelligence-on-azure/


NEW QUESTION # 22
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 23
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