What should you use?

HOTSPOT

You are designing an Azure infrastructure to support an Azure Machine Learning solution that will have multiple phases.

The solution must meet the following requirements:

– Securely query an on-premises database once a week to update product lists.

– Access the data without using a gateway.

– Orchestrate the separate phases.

What should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

View Answer

Answer:

Explanation:

Box 1: Azure App Service Hybrid Connections

With Hybrid Connections, Azure websites and mobile services can access on-premises resources as if they were located on the same private network. Application admins thus have the flexibility to simply lift-and-shift specific most front-end tiers to Azure with minimal configuration changes, extending their enterprise apps for hybrid scenarios.

Incorrect: The VPN connection solution both use gateways.

Box 2: Machine Learning pipelines

Typically when running machine learning algorithms, it involves a sequence of tasks including pre-processing, feature extraction, model fitting, and validation stages. For example, when classifying text documents might involve text segmentation and cleaning, extracting features, and training a classification model with cross-validation. Though there are many libraries we can use for each stage, connecting the dots is not as easy as it may look, especially with large-scale datasets. Most ML libraries are not designed for distributed computation or they do not provide native support for pipeline creation and tuning.

Box 3: Azure Databricks

References: https://azure.microsoft.com/is-is/blog/hybrid-connections-preview/

https://databricks.com/glossary/what-are-ml-pipelines