You are implementing a machine learning model to predict stock prices.
The model uses a PostgreSQL database and requires GPU processing.
You need to create a virtual machine that is pre-configured with the required tools.
What should you do?
A . Create a Data Science Virtual Machine (DSVM) Windows edition.
B . Create a Geo Al Data Science Virtual Machine (Geo-DSVM) Windows edition.
C . Create a Deep Learning Virtual Machine (DLVM) Linux edition.
D . Create a Deep Learning Virtual Machine (DLVM) Windows edition.
Answer: A
Explanation:
In the DSVM, your training models can use deep learning algorithms on hardware that’s based on graphics processing units (GPUs).
PostgreSQL is available for the following operating systems: Linux (all recent distributions), 64-bit installers available for macOS (OS X) version 10.6 and newer C Windows (with installers available for 64-bit version; tested on latest versions and back to Windows 2012 R2.
Incorrect Answers:
B: The Azure Geo AI Data Science VM (Geo-DSVM) delivers geospatial analytics capabilities from Microsoft’s Data Science VM. Specifically, this VM extends the AI and data science toolkits in the Data Science VM by adding ESRI’s market-leading ArcGIS Pro Geographic Information System.
C, D: DLVM is a template on top of DSVM image. In terms of the packages, GPU drivers etc are all there in the DSVM image. Mostly it is for convenience during creation where we only allow DLVM to be created on GPU VM instances on Azure.
Reference: https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/overview