Microsoft
DP-100 · Question #35
Your team is building a data engineering and data science development environment. The environment must support the following requirements: - support Python and Scala - compose data storage, movement,
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Design and prepare a machine learning solution
Question
Your team is building a data engineering and data science development environment. The environment must support the following requirements: - support Python and Scala - compose data storage, movement, and processing services into automated data pipelines - the same tool should be used for the orchestration of both data engineering and data science - support workload isolation and interactive workloads - enable scaling across a cluster of machines You need to create the environment. What should you do?
Options
- ABuild the environment in Apache Hive for HDInsight and use Azure Data Factory for
- BBuild the environment in Azure Databricks and use Azure Data Factory for orchestration.
- CBuild the environment in Apache Spark for HDInsight and use Azure Container Instances for
- DBuild the environment in Azure Databricks and use Azure Container Instances for orchestration.
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Topics
#Azure Databricks#Azure Data Factory#Data Pipeline Orchestration#Data Science Environment Design