| Exam Name: | Designing and Implementing a Data Science Solution on Azure | ||
| Exam Code: | DP-100 Dumps | ||
| Vendor: | Microsoft | Certification: | Microsoft Azure |
| Questions: | 525 Q&A's | Shared By: | bianca |
You are analyzing a dataset containing historical data from a local taxi company. You arc developing a regression a regression model.
You must predict the fare of a taxi trip.
You need to select performance metrics to correctly evaluate the- regression model.
Which two metrics can you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
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?
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
You manage an Azure Machine Learning workspace.
You need to define an environment from a Docker image by using the Azure Machine Learning Python SDK v2.
Which parameter should you use?