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Microsoft Azure AI Fundamentals Sample Questions (Q142-Q147):

NEW QUESTION # 142
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:
Yes, Yes, and No.
According to the Microsoft Azure AI Fundamentals (AI-900) official study materials and the Microsoft Learn module "Identify features of natural language processing (NLP) workloads on Azure", the Azure Translator service is a cloud-based AI service within Azure Cognitive Services that provides real-time text translation across multiple languages.
* "You can use the Translator service to translate text between languages." - Yes.This is the core function of the Translator service. It takes text as input in one language and returns it in another using advanced neural machine translation models. This aligns with the AI-900 learning objective: "Describe the capabilities of Azure Cognitive Services for language", which specifically names Azure Translator as the service used to perform automatic text translation. The service supports over 100 languages and dialects, offering both single-sentence and document-level translations.
* "You can use the Translator service to detect the language of a given text." - Yes.This statement is also true. The Translator service automatically detects the source language if it is not specified in the request. This feature is documented in the Azure Translator API, where the system identifies the input language before performing translation. The AI-900 exam content emphasizes this as one of the Translator service's built-in capabilities-language detection for untagged text.
* "You can use the Translator service to transcribe audible speech into text." - No.This is not a function of Translator. Transcription (converting speech to text) is a speech AI workload, handled by the Azure Speech Service, not Translator. The Speech-to-Text capability in Azure Cognitive Services processes spoken audio input and returns the text transcription. The Translator service only works with text input, not direct audio.
Therefore, based on official AI-900 guidance, the verified configuration is:
# Yes - for text translation
# Yes - for language detection
# No - for speech transcription.
This aligns precisely with the AI-900 learning outcomes describing Text Translation and Language Detection as Translator capabilities, and Speech Transcription as part of the separate Speech service.


NEW QUESTION # 143
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Explanation:

Regression is a machine learning task that is used to predict the value of the label from a set of related features.
Reference:
https://docs.microsoft.com/en-us/dotnet/machine-learning/resources/tasks


NEW QUESTION # 144
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

The Text Analytics API is a cloud-based service that provides advanced natural language processing over raw text, and includes four main functions: sentiment analysis, key phrase extraction, named entity recognition, and language detection.
Box 1: Yes
You can detect which language the input text is written in and report a single language code for every document submitted on the request in a wide range of languages, variants, dialects, and some regional/cultural languages. The language code is paired with a score indicating the strength of the score.
Box 2: No
Box 3: Yes
Named Entity Recognition: Identify and categorize entities in your text as people, places, organizations, date/time, quantities, percentages, currencies, and more. Well-known entities are also recognized and linked to more information on the web.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview


NEW QUESTION # 145
You plan to develop a bot that will enable users to query a knowledge base by using natural language processing.
Which two services should you include in the solution? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

Answer: B,D

Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/bot-service/bot-service-overview-introduction?view=azure-bot-service-4.0
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/choose-natural-language-processing-service


NEW QUESTION # 146
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:

Explanation

Box1: Sentiment analysis
Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.
Box 2: Broad entity extraction
Broad entity extraction: Identify important concepts in text, including key Key phrase extraction/ Broad entity extraction: Identify important concepts in text, including key phrases and named entities such as people, places, and organizations.
Box 3: Entity Recognition
Named Entity Recognition: Identify and categorize entities in your text as people, places, organizations, date/time, quantities, percentages, currencies, and more. Well-known entities are also recognized and linked to more information on the web.
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 # 147
......

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