You make a Language service API call.

You call the following URL.

 

You send the following request body.

{ "documents": [ { "id": "1", "countryHint":"US", "text": "We analyzed text to see what would happen" }, { "id": "2", "countryHint":"UK", "text": "We analysed text to see what would happen" }, ] }

You receive the following response.

{ "statistics": { "documentsCount": 2, "validDocumentsCount": 1, "erroneousDocumentsCount": 1, "transactionsCount": 1 }, "documents": [{ "id": "1", "detectedLanguages": [{ "name": "English", "iso6391Name": "en", "score": 1.0 }], "statistics": { "charactersCount": 41, "transactionsCount": 1 } }], "errors": [{ "id": "2", "message": "Country hint is not valid. Please specify an ISO 3166-1 alpha-2 two letter country code." }] }

Which three of the following statements correctly describe the code?

Select all answers that apply.

The text fragment that has ID 1 is identified as English. US is a valid value for countryHint. The document that has countryHint=UK does not generate a billable transaction. UK is a valid value for name. The document that has countryHint=US does not generate a billable transaction.

You are building an app to help students organize their learning materials by topics using Language service.

You need to analyze each document and suggest groups of documents with common themes based on overlapping sets of important terms.

What should you do first?

what would be the value of discountRate after the following statements are executed?

double discountRate = 0.0;

int purchase = 1250;

char cust = 'N';

if (purchase > 1000)

            if (cust == 'Y')

                        discountRate = .05;

            else

                        discountRate = .04;

else if (purchase > 750)

            if (cust == 'Y')

                        discountRate = .04;

            else

                        discountRate = .03;

else

discountRate = 0;

You plan to build an Azure Cognitive Search solution that will search images and PDF documents.

Users of the solution will search for text, captions, key phrases, identified objects, or named entities.

Each day, you will need to index and enrich 5,000 images and 10,000 PDFs.

Which type of resource should you create for the planned solution?

Select only one answer.

1.  Computer Vision

2.  Text Analytics

3.  Azure Machine Learning

4.  Azure Cognitive Services