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DP-100 - Designing and Implementing a Data Science Solution on Azure

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Microsoft DP-100 Questions Answers

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DP-100 Questions and Answers

Question # 1

You manage an Azure Machine Learning won pace named workspace 1 by using the Python SDK v2. You create a Gene-al Purpose v2 Azure storage account named mlstorage1. The storage account includes a pulley accessible container name micOTtalnerl. The container stores 10 blobs with files in the CSV format.

You must develop Python SDK v2 code to create a data asset referencing all blobs in the container named mtcontamer1.

You need to complete the Python SDK v2 code.

How should you complete the code? To answer select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Question # 2

You plan to run a Python script as an Azure Machine Learning experiment.

The script contains the following code:

import os, argparse, glob

from azureml.core import Run

parser = argparse.ArgumentParser()

parser.add_argument('--input-data',

type=str, dest='data_folder')

args = parser.parse_args()

data_path = args.data_folder

file_paths = glob.glob(data_path + "/*.jpg")

You must specify a file dataset as an input to the script. The dataset consists of multiple large image files and must be streamed directly from its source.

You need to write code to define a ScriptRunConfig object for the experiment and pass the ds dataset as an argument.

Which code segment should you use?

A.

arguments = ['--input-data', ds.to_pandas_dataframe()]

B.

arguments = ['--input-data', ds.as_mount()]

C.

arguments = ['--data-data', ds]

D.

arguments = ['--input-data', ds.as_download()]

Question # 3

You create a machine learning model by using the Azure Machine Learning designer. You publish the model as a real-time service on an Azure Kubernetes Service (AKS) inference compute cluster. You make no changes to the deployed endpoint configuration.

You need to provide application developers with the information they need to consume the endpoint.

Which two values should you provide to application developers? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A.

The name of the AKS cluster where the endpoint is hosted.

B.

The name of the inference pipeline for the endpoint.

C.

The URL of the endpoint.

D.

The run ID of the inference pipeline experiment for the endpoint.

E.

The key for the endpoint.

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