You need to build an API pipeline that analyzes streaming data. The pipeline will perform the following:✑ Visual text recognition✑ Audio transcription✑ Sentiment analysis✑ Face detectionWhich Azure Cognitive Services should you use in the pipeline?
HOTSPOT -You are designing an application to parse images of business forms and upload the data to a database. The upload process will occur once a week.You need to recommend which services to use for the application. The solution must minimize infrastructure costs.Which services should you recommend? To answer, select the appropriate options in the answer area.NOTE: Each correct selection is worth one point.Hot Area:
You need to recommend a data storage solution that meets the technical requirements.What is the best data storage solution to recommend? More than one answer choice may achieve the goal. Select the BEST answer.
You need to design the Butler chatbot solution to meet the technical requirements.What is the best channel and pricing tier to use? More than one answer choice may achieve the goal. Select the BEST answer.
You are designing a business application that will use Azure Cognitive Services to parse images of business forms. You have the following requirements:Parsed image data must be uploaded to Azure Storage once a week.The solution must minimize infrastructure costs.What should you do?
HOTSPOT -You are designing a solution that will analyze bank transactions in real time. The transactions will be evaluated by using an algorithm and classified into one of five groups. The transaction data will be enriched with information taken from Azure SQL Database before the transactions are sent to the classification process. The enrichment process will require custom code. Data from different banks will require different stored procedures.You need to develop a pipeline for the solution.Which components should you use for data ingestion and data preparation? To answer, select the appropriate options in the answer area.NOTE: Each correct selection is worth one point.Hot Area:
