Pre-Summer Special Limited Time 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: force70

Microsoft Designing and Implementing a Data Science Solution on Azure DP-100 Question # 52 Topic 6 Discussion

Microsoft Designing and Implementing a Data Science Solution on Azure DP-100 Question # 52 Topic 6 Discussion

DP-100 Exam Topic 6 Question 52 Discussion:
Question #: 52
Topic #: 6

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?


A.

Build the environment in Apache Hive for HDInsight and use Azure Data Factory for orchestration.


B.

Build the environment in Azure Databricks and use Azure Data Factory for orchestration.


C.

Build the environment in Apache Spark for HDInsight and use Azure Container Instances for orchestration.


D.

Build the environment in Azure Databricks and use Azure Container Instances for orchestration.


Get Premium DP-100 Questions

Contribute your Thoughts:


Chosen Answer:
This is a voting comment (?). It is better to Upvote an existing comment if you don't have anything to add.