Microsoft
DP-100 · Question #415
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…
The correct answer is C. Datastore. https://learn.microsoft.com/en- us/python/api/mltable/mltable.mltable.mltable?source=recommendations&view=azure-ml-py A MLTable defines a series of lazily-evaluated, immutable operations to load data from the data
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Question
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?
Options
- AData asset
- BURI
- CDatastore
- DMLTable
How the community answered
(41 responses)- A17% (7)
- B5% (2)
- C71% (29)
- D7% (3)
Explanation
https://learn.microsoft.com/en- us/python/api/mltable/mltable.mltable.mltable?source=recommendations&view=azure-ml-py A MLTable defines a series of lazily-evaluated, immutable operations to load data from the data
Topics
#Azure ML Data#Datastores#AutoML#Data Loading
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