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NEW QUESTION: 1
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 Deep Learning Virtual Machine (DLVM) Windows edition.
B. Create a Data Science Virtual Machine (DSVM) Windows edition.
C. Create a Geo Al Data Science Virtual Machine (Geo-DSVM) Windows edition.
D. Create a Data Science Virtual Machine (DSVM) Linux edition.
E. Create a Deep Learning Virtual Machine (DLVM) Linux edition.
Answer: D
Explanation:
Incorrect Answers:
A, C: PostgreSQL (CentOS) is only available in the Linux Edition.
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.
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.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/overview
NEW QUESTION: 2
What is Enabler API used for?
A. You can use it only for manipulating user profiles and portlet preferences.
B. You can use it only for manipulating user profiles on the client side.
C. You can use it for working with portlet preferences, user profiles, and the portlet state including the portlet mode, the window state, and so on.
D. You can use it only for manipulating user preferences on the client side.
Answer: C
NEW QUESTION: 3
スポンサーは、次のどのドキュメントで作業パッケージの説明を見つけることができますか?
A. Project statement
B. The project charter.
C. The scope management plan
D. (WBS) Dictionary
Answer: D