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Certification has become a prerequisite for employment and career growth in the Microsoft industry for reputable companies. To advance comfortably in your career, passing the AI-900 exam is a valuable validation of your expertise. However, many test takers struggle to find updated Microsoft Azure AI Fundamentals (AI-900) dumps and fail to prepare effectively in a short period, resulting in a loss of time, money, and motivation.
Microsoft AI-900 (Microsoft Azure AI Fundamentals) certification exam is designed to provide a foundational understanding of artificial intelligence and its applications in the Azure platform. AI-900 exam is suitable for individuals who are new to AI and want to gain knowledge of its basic concepts and how it can be leveraged in the cloud. By earning this certification, candidates will demonstrate their ability to identify common AI workloads and the tools available in Azure to build intelligent solutions.
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To pass the AI-900 Exam, candidates must demonstrate their understanding of key concepts related to AI, such as machine learning, natural language processing, and computer vision. They must also be able to identify the different types of AI solutions and understand how to use Azure services to develop and deploy them.
NEW QUESTION # 313
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
According to the Microsoft Azure AI Fundamentals (AI-900) Official Study Guide and the Microsoft Learn module "Explore computer vision in Microsoft Azure," computer vision is a field of artificial intelligence that enables computers to interpret and understand visual information from the world - such as images or videos.
In this scenario, the task is to count the number of animals in an area based on a video feed. This requires the system to:
* Detect the presence of animals in each frame of the video (object detection).
* Track and count them across multiple frames as they move.
These are classic computer vision tasks, as they involve analyzing visual inputs (video or image data) and identifying objects (in this case, animals). Azure provides services such as Azure Computer Vision, Custom Vision, and Video Indexer, which can perform object detection, counting, and activity recognition using AI models trained on visual datasets.
Why the other options are incorrect:
* Forecasting: Involves predicting future values based on historical data (e.g., predicting sales or weather), not analyzing video feeds.
* Knowledge mining: Focuses on extracting insights from large text-based document repositories, not images or videos.
* Anomaly detection: Identifies unusual patterns in numeric or time-series data, not visual objects.
Therefore, identifying and counting animals in video footage falls under computer vision, since it uses AI to visually detect, classify, and quantify objects in real-time or recorded feeds.
NEW QUESTION # 314
You need to scan the news for articles about your customers and alert employees when there is a negative article. Positive articles must be added to a press book.
Which natural language processing tasks should you use to complete the process? To answer, drag the appropriate tasks to the correct locations. Each task 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.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/named-entity-recognition
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-sentiment-analysis
NEW QUESTION # 315
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:
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-designer-python
https://docs.microsoft.com/en-us/azure/machine-learning/concept-automated-ml
NEW QUESTION # 316
Match the Microsoft guiding principles for responsible AI to the appropriate descriptions.
To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 317
To complete the sentence, select the appropriate option in the answer area.
Answer:
Explanation:
NEW QUESTION # 318
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