Your organization has a requirement to analyze documents that are written in multiple different languages. You are tasked to detect the language using the Detect Language API of Text Analytics in Azure. While you analyze the JSON output for the documents, you realize that the results are ambiguous. Here is an example of the JSON output: 
<pre class="brush:java;">{
"documents": [
{
"id": "1",
"detectedLanguage": {
"name": "(Unknown)",
"iso6391Name": "(Unknown)",
"confidenceScore": 0.0
},
"warnings": []
}
],
}
</pre>
Which input parameter would you use in your code to remove this ambiguity in detecting language when you identify the origin of the text is not known or same words are used in the different languages?

Answer options:

A.detectedLanguage
B.iso6391Name
C.countryHint
D.name

Correct Answer: C
Option A is incorrect because detectedLanguage is the output parameter used in the JSON output of the Detect Language API of Text Analytics. It contains the name, ISO code and confidence score of the language.
Option B is incorrect because iso6391Name is the output parameter used in the JSON output of the Detect Language API of Text Analytics. It provides the ISO code of the language such as “en” for English language.
Option C is correct because countryHint is the input parameter that is helpful in such a scenario where the origin of the text is not known. Here is a sample code in that countryHint is added and it provides additional context to avoid ambiguity. In the output, confidence score for "iso6391Name":"fr" is 1.0 and "iso6391Name":"en" is observed to be 0.63
<pre class="brush:java;">{
"documents": [
{
"id": "1",
"text": "impossible"
},
{
"id": "2",
"text": "impossible",
"countryHint": "fr"
}
]
}
</pre>
Option D is incorrect because name is the output parameter used in the JSON output of the Detect Language API of Text Analytics.
Reference: 
To learn more about language detection, use the link given below: 

https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-language-detection