Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You create an Azure Machine Learning service datastore in a workspace. The datastore contains the following files:
✑ /data/2018/Q1.csv
✑ /data/2018/Q2.csv
✑ /data/2018/Q3.csv
✑ /data/2018/Q4.csv
✑ /data/2019/Q1.csv
All files store data in the following format:
id,f1,f2,I
1,1,2,0
2,1,1,1
3,2,1,0
4,2,2,1
You run the following code:
 
You need to create a dataset named training_data and load the data from all files into a single data frame by using the following code:
 
Solution: Run the following code:
 
Does the solution meet the goal?

A. Yes

B. No












 

Suggested Answer: B

Define paths with two file paths instead.
Use Dataset.Tabular_from_delimeted as the data isn't cleansed.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-register-datasets

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.