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Microsoft AI-900 exam, also known as the Microsoft Azure AI Fundamentals exam, is an entry-level certification exam designed to validate a candidate's foundational knowledge of Artificial Intelligence (AI) and Machine Learning (ML) concepts, as well as their ability to work with Microsoft Azure's AI services. AI-900 Exam is intended for individuals who are interested in learning about AI and ML principles and how they can be applied to solve business problems.
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The Microsoft AI-900 exam covers a wide range of topics, including the principles of AI, machine learning, computer vision, natural language processing (NLP), and conversational AI. It also includes an overview of Microsoft Azure AI services such as Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service. Passing the AI-900 exam validates one's knowledge and skills in these areas and provides a solid foundation for pursuing other Azure certifications related to AI and machine learning.
Microsoft AI-900, also known as the Microsoft Azure AI Fundamentals Certification Exam, is a popular certification exam offered by Microsoft. AI-900 Exam is designed for individuals who want to demonstrate their knowledge of artificial intelligence (AI) and its applications in the cloud. Microsoft Azure AI Fundamentals certification is ideal for those who are interested in pursuing a career in AI development or those who want to enhance their skills in this field.
NEW QUESTION # 124
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
Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-manage-channels?view=azure-bot-service-4.0
NEW QUESTION # 125
You plan to apply Text Analytics API features to a technical support ticketing system.
Match the Text Analytics API features to the appropriate natural language processing scenarios.
To answer, drag the appropriate feature from the column on the left to its scenario on the right. Each feature 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
https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics
NEW QUESTION # 126
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 # 127
Which feature of the Azure Al Language service should you use to automate the masking of names and phone numbers in text data?
Answer: A
Explanation:
The correct answer is A. Personally Identifiable Information (PII) detection.
In the Azure AI Language service, PII detection is a built-in feature designed to automatically identify and redact sensitive or confidential information from text data. According to the Microsoft Learn module
"Identify capabilities of Azure AI Language" and the AI-900 study guide, this capability can detect personal data such as names, phone numbers, email addresses, credit card numbers, and other identifiers.
When applied, the service scans input text and either masks or removes these PII elements based on configurable parameters, ensuring compliance with data privacy regulations like GDPR or HIPAA.
For example, if a document contains "John Doe's phone number is 555-123-4567," PII detection can return
"******'s phone number is ***********," thereby preventing exposure of sensitive personal details.
Option analysis:
* A. Personally Identifiable Information (PII) detection: # Correct. It identifies and masks sensitive data in text.
* B. Entity linking: Connects recognized entities to known data sources like Wikipedia; not used for redaction.
* C. Custom text classification: Classifies text into predefined categories; not designed for masking personal data.
* D. Custom named entity recognition (NER): Detects domain-specific entities you define but doesn't automatically mask them.
Therefore, to automate masking of names and phone numbers, the appropriate Azure AI Language feature is PII detection.
NEW QUESTION # 128
Match the Azure Cognitive Services service to the appropriate actions.
To answer, drag the appropriate service from the column on the left to its action on the right. Each service may he used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:
Explanation:
NEW QUESTION # 129
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