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The Microsoft Azure AI Fundamentals certification exam is one of the top-rated career advancement certification exams. The Microsoft AI-900 certification exam can play a significant role in career success. With the Microsoft Azure AI Fundamentals (AI-900) certification, you can gain several benefits such as validation of skills, career advancement, competitive advantage, continuing education, and global recognition of your skills and knowledge.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Features of Natural Language Processing (NLP) workloads on Azure | 15–20% | - Describe capabilities of Azure Language - Describe capabilities of Azure Speech - Identify types of NLP solutions - Describe capabilities of Azure Translator |
| Topic 2: Fundamental principles of machine learning on Azure | 15–20% | - Describe machine learning pipelines - Describe capabilities of Azure Machine Learning - Describe core concepts of machine learning - Describe automated machine learning |
| Topic 3: Features of computer vision workloads on Azure | 15–20% | - Describe capabilities of Azure Face - Describe capabilities of Azure Custom Vision - Identify types of computer vision solutions - Describe capabilities of Azure Computer Vision - Describe capabilities of Azure Form Recognizer |
| Topic 4: Artificial Intelligence workloads and considerations | 15–20% | - Describe responsible AI principles - Identify types of AI workloads - Describe considerations for developing AI solutions |
| Topic 5: Features of generative AI workloads on Azure | 20–25% | - Describe generative AI concepts - Describe capabilities of Azure OpenAI Service - Describe use cases for generative AI - Describe responsible AI practices for generative AI |
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NEW QUESTION # 51
Which type of machine learning should you use to predict the number of gift cards that will be sold next month?
Answer: B
NEW QUESTION # 52
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 # 53
To complete the sentence, select the appropriate option in the answer area.
Computer vision capabilities can be Deployed to....................
Answer:
Explanation:
see the answer in below Explanation
Explanation:
Integrate a facial recognition feature into an app.
NEW QUESTION # 54
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 55
You need to count the number of animals in a photograph. Which type of computer vision should you use?
Answer: D
Explanation:
According to the Microsoft Azure AI Fundamentals (AI-900) curriculum, computer vision encompasses several key capabilities: image classification, object detection, facial detection, and optical character recognition (OCR). When the task requires counting the number of distinct objects (in this case, animals) in an image, object detection is the correct type of vision model.
Object detection not only classifies what is present in an image but also identifies where each object appears by drawing bounding boxes around them. Each detected object is individually labeled, enabling the system to count or track them accurately. In contrast, image classification would only tell you the overall category (e.g.,
"This is an image of animals") without counting how many animals are present.
Facial detection focuses solely on identifying human faces, while OCR extracts text from images - neither applies here.
Therefore, the AI-900 official learning modules confirm that object detection is the appropriate solution for identifying and counting multiple entities within an image.
NEW QUESTION # 56
......
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