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…

Question

Options

• ACreate a Data Science Virtual Machine (DSVM) Windows edition.
• BCreate a Geo Al Data Science Virtual Machine (Geo-DSVM) Windows edition.
• CCreate a Deep Learning Virtual Machine (DLVM) Linux edition.
• DCreate a Deep Learning Virtual Machine (DLVM) Windows edition.
• ECreate a Data Science Virtual Machine (DSVM) Linux edition.

• A
  90% (18)
• B
  5% (1)
• C
  5% (1)

Explanation

The Data Science Virtual Machine (DSVM) Windows edition comes pre-configured with a comprehensive set of data science and ML tools, including PostgreSQL, GPU drivers, CUDA, cuDNN, and popular ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.). It supports GPU processing on appropriate Azure VM sizes (NC-series). The Geo AI DSVM is specialized for geospatial workloads. The Deep Learning Virtual Machine (DLVM) - in either Linux or Windows edition - is optimized for deep learning but lacks the broader data tooling (like PostgreSQL) that the full DSVM provides. Therefore the DSVM Windows edition is the best all-in-one fit for stock price prediction requiring PostgreSQL and GPU.

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