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Microsoft AI-900 exam measures the candidates' knowledge of essential AI concepts, including data analysis, machine learning, and natural language processing. AI-900 exam also covers the Azure services that support AI, such as Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service. Passing AI-900 exam demonstrates that the candidate has a foundational understanding of AI and its applications in Azure and is capable of working with these technologies.
In case you're eager to get to know more about artificial intelligence facets & machine learning functions that relate to Microsoft Azure, then you're recommended to opt for AI-900 test.
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Microsoft AI-900 Certification Exam covers a wide range of topics related to AI, including machine learning, natural language processing, computer vision, and conversational AI. It tests one's ability to understand the basic principles of AI and how to apply them to solve real-world problems using the Microsoft Azure platform. Additionally, it evaluates one's knowledge of the ethical and responsible use of AI technologies.
NEW QUESTION # 309
Which Azure Al Language feature can be used to retrieve data, such as dates and people's names, from social media posts?
Answer: B
Explanation:
The Azure AI Language service provides several NLP features, including language detection, key phrase extraction, sentiment analysis, and named entity recognition (NER).
When you need to extract specific data points such as dates, names, organizations, or locations from unstructured text (for example, social media posts), the correct feature is Entity Recognition.
Entity Recognition identifies and classifies information in text into predefined categories like:
* Person names (e.g., "John Smith")
* Organizations (e.g., "Contoso Ltd.")
* Dates and times (e.g., "October 22, 2025")
* Locations, events, and quantities
This capability helps transform unstructured textual data into structured data that can be analyzed or stored.
Option analysis:
* A (Language detection): Determines the language of a text (e.g., English, French).
* B (Speech recognition): Converts spoken audio to text; not applicable here.
* C (Key phrase extraction): Identifies important phrases or topics but not specific entities like names or dates.
* D (Entity recognition): Correctly extracts names, dates, and other specific data from text.
Hence, the accurate feature for this scenario is D. Entity Recognition.
NEW QUESTION # 310
Match the Azure Cognitive Services to the appropriate Al workloads.
To answer, drag the appropriate service from the column on the left to its workload on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:
Explanation:
NEW QUESTION # 311
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 # 312
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 # 313
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation
NEW QUESTION # 314
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