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Exam DP-100 topic 2 question 116 discussion

Actual exam question from Microsoft's DP-100
Question #: 116
Topic #: 2
[All DP-100 Questions]

You manage an Azure Machine Learning workspace. You have a folder that contains a CSV file. The folder is registered as a folder data asset.

You plan to use the folder data asset for data wrangling during interactive development.

You need to access and load the folder data asset into a Pandas data frame.

Which method should you use to achieve this goal?

  • A. mltable.from_parquet_files()
  • B. mltable.from_delimited_files()
  • C. mltable.from_data_lake()
  • D. mltable.load()
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Suggested Answer: B 🗳️
by nicorg5 at March 12, 2024, 9:49 a.m.

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avinyc
4 months ago
Selected Answer: B
mltable.from_delimited_files()
upvoted 1 times
...
evangelist
5 months, 1 week ago
Selected Answer: B
csv=>delimited file
upvoted 1 times
...
sai384957324
7 months ago
Selected Answer: B
B is correct
upvoted 1 times
...
401d299
7 months, 1 week ago
Selected Answer: B
correct
upvoted 1 times
...
3a0b61c
7 months, 3 weeks ago
Selected Answer: C
correct https://learn.microsoft.com/en-us/python/api/mltable/mltable?view=azure-ml-py#mltable-from-delimited-files
upvoted 1 times
3a0b61c
7 months, 3 weeks ago
sorry. B is correct.
upvoted 1 times
...
...
nicorg5
7 months, 4 weeks ago
answer is correct
upvoted 1 times
...
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