* The requirement is to extract structured information (invoice items, sales amounts, customer details) from scanned invoice images.
* Form Recognizer (now part of Azure AI Document Intelligence) is specifically designed for extracting structured data from documents such as invoices, receipts, and business forms.
* Custom Vision # used for image classification or object detection, not for text/data extraction.
* Computer Vision # can extract text with OCR, but it doesn't provide structured field-level extraction for invoices.
* Immersive Reader # for accessibility (reading content aloud, translating text), not document data extraction.
The answer: D
Reference: Azure AI Document Intelligence (Form Recognizer)

Instead, you could migrate to a Cognitive Search service that uses a higher tier.
Note: A simple fix to most throttling issues is to throw more resources at the search service (typically replicas for query-based throttling, or partitions for indexing-based throttling). However, increasing replicas or partitions adds cost, which is why it is important to know the reason why throttling is occurring at all.
Reference:
https://docs.microsoft.com/en-us/azure/search/search-performance-analysis

With Azure OpenAI, you don't call a raw "model name" directly; you call a deployment of that model.
SDKs and REST require:
* the resource endpoint,
* the API key (or Entra ID token), and
* the deployment name to target the specific model instance.
References
* Azure OpenAI quickstart (connect using endpoint, key, and deployment name).https://learn.microsoft.
com/azure/ai-services/openai/quickstart
* Chat/completions-path uses /deployments/{deployment-id}.https://learn.microsoft.com/azure/ai- services/openai/reference#chat-completions

Explanation:
SpeechRecognitionLanguage must be set to "fr" (French).
AddTargetLanguage("de") must be used to specify German as the translation output.
var speechTranslationConfig =
SpeechTranslationConfig.FromSubscription(speechKey, speechRegion);
speechTranslationConfig.SpeechRecognitionLanguage = "fr";
speechTranslationConfig.AddTargetLanguage("de");
* SpeechRecognitionLanguage # sets the source spoken language that the Speech service listens to (here, French).
* AddTargetLanguage("de") # adds German as the target translation language.
* SpeechSynthesisLanguage would be used if you want to speak out the translation, but since the requirement is only about defining input and output languages, we use AddTargetLanguage.
* Speech translation with Speech SDK
Final Answer:
* First blank # SpeechRecognitionLanguage
* Second blank # AddTargetLanguage

Azure AI Content Understanding supports common document and image formats including .pdf, .docx, .jpg, and .png. .webp isn't listed among supported types. Therefore, you can analyze File1.pdf, File2.jpg, File3.
docx, and File5.png, but not File4.webp. Microsoft Learn
Microsoft References:
* Content Understanding: service limits and supported file types. Microsoft Learn