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Microsoft Azure AI Fundamentals Sample Questions (Q136-Q141):

NEW QUESTION # 136
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 137
Match the types of computer vision to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/face/
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection


NEW QUESTION # 138
Which Azure Al Language feature can be used to retrieve data, such as dates and people's names, from social media posts?

Answer: D

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 # 139
Which type of natural language processing (NLP) entity is used to identify a phone number?

Answer: B


NEW QUESTION # 140
Which type of machine learning should you use to identify groups of people who have similar purchasing habits?

Answer: A

Explanation:
Clustering is a machine learning task that is used to group instances of data into clusters that contain similar characteristics. Clustering can also be used to identify relationships in a dataset Reference:
https://docs.microsoft.com/en-us/dotnet/machine-learning/resources/tasks


NEW QUESTION # 141
......

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