You are developing an app that will analyze sensitive data from global users.
Your app must adhere the following compliance policies:
The app must not store data in the cloud.
The app not use services in the cloud to process the data.
Which of the following actions should you take?

A. Make use of Azure Machine Learning Studio

B. Make use of Docker containers for the Text Analytics

C. Make use of a Text Analytics container deployed to Azure Kubernetes Service

D. Make use of Microsoft Machine Learning (MML) for Apache Spark








 

Suggested Answer: D

The Microsoft Machine Learning Library for Apache Spark (MMLSpark) assists in provisioning scalable machine learning models for large datasets, especially for building deep learning problems. MMLSpark works with SparkML pipelines, including Microsoft CNTK and the OpenCV library, which provide end-to-end support for the ingress and processing of image input data, categorization of images, and text analytics using pre-trained deep learning algorithms.
Reference:
https://subscription.packtpub.com/book/big_data_and_business_intelligence/9781789131956/10/ch10lvl1sec61/an-overview-of-the-microsoft-machine-learning-
 library-for-apache-spark-mmlspark

This question is in AI-100 Designing and Implementing an Azure AI Solution Exam
For getting Microsoft Certified: Azure AI Engineer Associate Certificate





Disclaimers:
The website is not related to, affiliated with, endorsed or authorized by Microsoft. 
The website does not contain actual questions and answers from Microsoft's Certification Exams.
Trademarks, certification & product names are used for reference only and belong to Microsoft.