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Free DP-100 Exam Braindumps (page: 3)

Page 2 of 127
PDF with 512 Questions

This question is included in a number of questions that depicts the identical set-up. However, every question has a distinctive result. Establish if the recommendation satisfies the requirements.
You have been tasked with employing a machine learning model, which makes use of a PostgreSQL database and needs GPU processing, to forecast prices.
You are preparing to create a virtual machine that has the necessary tools built into it.
You need to make use of the correct virtual machine type.
Recommendation: You make use of a Deep Learning Virtual Machine (DLVM) Windows edition.
Will the requirements be satisfied?

  1. Yes
  2. No

Answer(s): A

Explanation:

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



This question is included in a number of questions that depicts the identical set-up. However, every question has a distinctive result. Establish if the recommendation satisfies the requirements.
You have been tasked with employing a machine learning model, which makes use of a PostgreSQL database and needs GPU processing, to forecast prices.
You are preparing to create a virtual machine that has the necessary tools built into it.
You need to make use of the correct virtual machine type.
Recommendation: You make use of a Data Science Virtual Machine (DSVM) Windows edition.
Will the requirements be satisfied?

  1. Yes
  2. No

Answer(s): B

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 ג€"
Windows (with installers available for 64-bit version; tested on latest versions and back to Windows 2012 R2.


Reference:

https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/overview



DRAG DROP (Drag and Drop is not supported)
You have been tasked with moving data into Azure Blob Storage for the purpose of supporting Azure Machine Learning.
Which of the following can be used to complete your task? Answer by dragging the correct options from the list to the answer area.
Select and Place:

  1. See Explanation section for answer.

Answer(s): A

Explanation:



You can move data to and from Azure Blob storage using different technologies:
- Azure Storage-Explorer
- AzCopy
- Python
- SSIS


Reference:

https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/move-azure-blob



HOTSPOT (Drag and Drop is not supported)
Complete the sentence by selecting the correct option in the answer area.
Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:



Use the Convert to ARFF module in Azure Machine Learning Studio, to convert datasets and results in Azure Machine Learning to the attribute-relation file format used by the Weka toolset. This format is known as ARFF.
The ARFF data specification for Weka supports multiple machine learning tasks, including data preprocessing, classification, and feature selection. In this format, data is organized by entities and their attributes, and is contained in a single text file.


Reference:

https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/convert-to-arff






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