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…

Question

Options

• AAzure Cognitive Services
• BAzure Data Lake Analytics
• CAzure HDInsight with Spark MLib
• DAzure Machine Learning Studio

• A
  71% (30)
• B
  5% (2)
• C
  7% (3)
• D
  17% (7)

Explanation

Azure Cognitive Services provides pre-built, API-accessible deep learning models that handle all three data types in the scenario: Video Intelligence / Computer Vision (video recordings), Text Analytics and Language Understanding (radio transcripts), and Text Analytics / Sentiment Analysis (social media logs). It is purpose-built for analyzing unstructured, semi-structured, and structured content at scale without requiring you to build models from scratch. Azure Data Lake Analytics is a batch analytics service, HDInsight with Spark MLlib is for distributed ML on structured data, and Azure ML Studio is a general-purpose ML platform - none offer the same breadth of pre-built cognitive capabilities across all three media types.

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