You are developing a machine learning model by using Azure Machine Learning. You are using multiple text files in tabular format for model data. You have the following requirements: • You must use AutoMLjobs to train the model. • You must use data from specified columns. • The data concept must support lazy evaluation. You need to load data into a Pandas dataframe. Which data concept should you use?

QuestionsCategory: DP-100You are developing a machine learning model by using Azure Machine Learning. You are using multiple text files in tabular format for model data. You have the following requirements: • You must use AutoMLjobs to train the model. • You must use data from specified columns. • The data concept must support lazy evaluation. You need to load data into a Pandas dataframe. Which data concept should you use?
Admin Staff asked 4 months ago
You are developing a machine learning model by using Azure Machine Learning. You are using multiple text files in tabular format for model data.
You have the following requirements:
•	You must use AutoMLjobs to train the model.
•	You must use data from specified columns.
•	The data concept must support lazy evaluation.
You need to load data into a Pandas dataframe.
Which data concept should you use?

A. Data asset

B. URI

C. Datastore

D. MLTable








 

Suggested Answer: D



This question is in DP-100 Exam
For getting Microsoft Azure Data Scientist Associate Certificate


Disclaimers:
The website is not related to, affiliated with, endorsed or authorized by Microsoft. 
The website does not contain actual questions and answers from Microsoft's Certification Exams.
Trademarks, certification & product names are used for reference only and belong to Microsoft.

Recommended

Welcome Back!

Login to your account below

Create New Account!

Fill the forms below to register

Retrieve your password

Please enter your username or email address to reset your password.