You are developing deep learning models to analyze semi-structured, unstructured, and structured data types.

You have the following data available for model building:

• Video recordings of sporting events
• Transcripts of radio commentary about events
• Logs from related social media feeds captured during sporting events

You need to select an environment for creating the model.

Which environment should you use?

A. Azure Cognitive Services

B. Azure Data Lake Analytics
C. Azure HDInsight with Spark MLib
D. Azure Machine Learning Studio

Explanation:
Azure Cognitive Services expand on Microsoft’s evolving portfolio of machine learning APIs and enable developers to easily add cognitive features – such as emotion and video detection; facial, speech, and vision recognition; and speech and language understanding – into their applications. The goal of Azure Cognitive Services is to help developers create applications that can see, hear, speak, understand, and even begin to reason. The catalog of services within Azure Cognitive Services can be categorized into five main pillars – Vision, Speech, Language, Search, and Knowledge.

References:
https://docs.microsoft.com/en-us/azure/cognitive-services/welcome