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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-900 |
| Certificate Validity Period: | No expiration (certification does not expire) |
| Exam Price: | USD 99.00 |
| Passing Score: | 700/1000 |
| Exam Duration: | 45-60 |
| Available Languages: | Spanish, Indonesian, German, Chinese (Simplified), Korean, English, Japanese, Portuguese (Brazil), French |
| Real Exam Qty: | 40-60 |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals |
| Exam Format: | Drag and drop, Single-choice, Multiple-choice, True/False, Sequence ordering |
| Sample Questions: | Microsoft AI-900 Sample Questions |
| Exam Way: | Online proctored exam or in-person testing center (Pearson VUE) |
| Pre Condition: | No formal prerequisites required. Basic knowledge of cloud computing concepts is recommended but not mandatory. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/certifications/exams/ai-900/ |
Sie können nur die Fragen und Antworten zur Microsoft AI-900 (Microsoft Azure AI Fundamentals) Zertifizierungsprüfung von ZertPruefung als Simulationsprüfung benutzen, dann können Sie einfach die Prüfung bestehen. Mit dem Microsoft AI-900 Zertfikat steht Ihr professionelles Niveau höher als das der anderen. Sie bekommen deshalb große Beförderungschance. Fügen Sie Microsoft AI-900 Fragen Und Antworten von ZertPruefung in den Warenkorb hinzu. ZertPruefung bietet Ihnen rund um die Uhr Online-Service.
Die AI-900 Prüfung umfasst verschiedene Themen, einschließlich grundlegender Konzepte der KI, des maschinellen Lernens, der natürlichen Sprachverarbeitung, der Computervision und der konversationellen KI. Die Prüfung bewertet auch das Verständnis eines Kandidaten für Azure-KI-Dienste wie Azure Cognitive Services, Azure Machine Learning und Azure Bot Services. Das Bestehen dieser Prüfung zeigt, dass ein Kandidat solide Kenntnisse in KI-Konzepten hat und Azure-KI-Services effektiv einsetzen kann, um intelligente Anwendungen zu erstellen. Darüber hinaus dient die AI-900-Prüfung als Voraussetzung für weiter fortgeschrittene Azure-KI-Zertifizierungen wie die AI-100 Designing and Implementing an Azure AI Solution.
65. Frage
To complete the sentence, select the appropriate option in the answer area.
Antwort:
Begründung:
Explanation:
According to the Microsoft Azure AI Fundamentals (AI-900) official study materials, object detection is a type of computer vision workload that not only identifies objects within an image but also determines their location by drawing bounding boxes around them. This functionality is clearly described in the Microsoft Learn module "Identify features of computer vision workloads." In this scenario, the AI system analyzes an image to find a vehicle and then returns a bounding box showing where that vehicle is located within the image frame. That ability - to detect, classify, and localize multiple objects - perfectly defines object detection.
Microsoft's study content contrasts object detection with other computer vision workloads as follows:
* Image classification: Determines what object or scene is present in an image as a whole but does not locate it (e.g., "this is a car").
* Object detection: Identifies what objects are present and where they are, usually returning coordinates for bounding boxes (e.g., "car detected at position X, Y").
* Optical Character Recognition (OCR): Extracts text content from images or scanned documents.
* Facial detection: Specifically locates human faces within an image or video feed, often as part of face recognition systems.
In Azure, object detection capabilities are available through services such as Azure Computer Vision, Custom Vision, and Azure Cognitive Services for Vision, which can be trained to detect vehicles, products, or other objects in various image datasets.
Therefore, based on the AI-900 study guide and Microsoft Learn materials, the verified and correct answer is Object detection, as it accurately describes the process of returning a bounding box indicating an object's position in an image.
66. Frage
You have an Azure Machine Learning model that predicts product quality. The model has a training dataset that contains 50,000 records. A sample of the data is shown in the following table.
For each of the following Statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
67. Frage
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
68. Frage
You need to track multiple versions of a model that was trained by using Azure Machine Learning. What should you do?
Antwort: B
Begründung:
According to the Microsoft Azure AI Fundamentals (AI-900) Official Study Guide and the Microsoft Learn module "Explore Azure Machine Learning," registering a model is the correct way to track multiple versions of models in Azure Machine Learning.
When you train models in Azure Machine Learning, each trained version can be registered in the workspace's Model Registry. Registration stores the model's metadata, including version, training environment, parameters, and lineage. Each registration automatically increments the version number, enabling you to manage, deploy, and compare multiple model iterations efficiently.
The other options are incorrect:
* A. Provision an inference cluster - Used for model deployment, not version tracking.
* B. Explain the model - Provides interpretability but does not track versions.
* D. Register the training data - Registers data assets, not models.
69. Frage
For each of the following statements. select Yes if the statement is true. Otherwise, select No. NOTE; Each correct selection is worth one point
Antwort:
Begründung:
70. Frage
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AI-900 Zertifizierungsfragen: https://www.zertpruefung.ch/AI-900_exam.html
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