Exam AI-102 topic 3 question 48 discussion

Should be NYN: https://learn.microsoft.com/en-us/dotnet/api/azure.ai.textanalytics.textanalyticsclient.recognizeentities?view=azure-dotnet Definition: Runs a predictive model to identify a collection of named entities in the passed-in document, and categorize those entities into types such as person, location, or organization. This method does not extract phrases.

NYY is the answer. https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/named-entity-recognition/overview Named Entity Recognition (NER) is one of the features offered by Azure Cognitive Service for Language, a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. The NER feature can identify and categorize entities in unstructured text. For example: people, places, organizations, and quantities.

1. N 2. Y 3. N The output will include the following words: our and included." No – These are not named entities; they are common words and won't be recognized by RecognizeEntities. "The output will include the following words: Paris, Eiffel, and Tower." Yes – RecognizeEntities will detect Paris (a city) and Eiffel Tower (a landmark). Most likely, "Eiffel Tower" will be returned as a single entity, but even if split, "Eiffel" and "Tower" would still be considered part of named entities. "The function will output all the key phrases from the input string to the console." No – This function uses RecognizeEntities, not ExtractKeyPhrases, so it only outputs recognized entities, not all key phrases.

In order from top to bottom No is CORRECT. The function recognize_entities is designed to check named entities but the words "our" and "included" are not named entities and hence will not be included in the output. Yes is CORRECT. If we check what the function is doing it is designed to find the recognized entity and both “Paris” and “Eiffel Tower” are recognized entities. Hence this will be there in the response generated. No is CORRECT because the function GetKeyWords utilizes the RecognizeEntities method from the Azure Text Analytics service. This method is specifically designed to identify named entities in the text, such as locations, organizations, and people. It does not extract key phrases, which would typically be broader and might include significant terms or concepts within the text.

I'm not sure if it is going to be Eiffel and Tower or just "Eiffel Tower"

I beleive NNN. Second is N because it will output two keys, not three.

Must be N-Y-N, these are named entities

It should be NNN According to ChatGPT Key words: Paris Eiffel Tower

No Yes No

on exam, NYN. For the last one I selected N because the method looks like it's extracting entities, not key phrases.

NYN is right answer.

The function will output all the key phrases from the input string to the console. No, the function will output the recognized entities, not all key phrases. Key phrases could include other important words or phrases in the text that are not necessarily entities. For key phrase extraction, a different method would be used.

For the last choice that seems to be a topic of dicussion Console Output: The code prints the header “Key words:” to the console. It then iterates through the response.Value (presumably a collection of categorized entites

Agree NYN

I think NYY. I could not see where all keywords would be output, but after checking the documentation they would also be identified as entities along with the Eiffel Tower (tour, paris and visit)

It is true.