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Free DP-100 Exam Braindumps (page: 6)

Page 5 of 127
PDF with 512 Questions

You need to consider the underlined segment to establish whether it is accurate.
To transform a categorical feature into a binary indicator, you should make use of the Clean Missing Data module.
Select `No adjustment required` if the underlined segment is accurate. If the underlined segment is inaccurate, select the accurate option.

  1. No adjustment required.
  2. Convert to Indicator Values
  3. Apply SQL Transformation
  4. Group Categorical Values

Answer(s): B

Explanation:

Use the Convert to Indicator Values module in Azure Machine Learning Studio. The purpose of this module is to convert columns that contain categorical values into a series of binary indicator columns that can more easily be used as features in a machine learning model.


Reference:

https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/convert-to-indicator-values



You need to consider the underlined segment to establish whether it is accurate.
To improve the amount of low incidence cases in a dataset, you should make use of the SMOTE module.
Select `No adjustment required` if the underlined segment is accurate. If the underlined segment is inaccurate, select the accurate option.

  1. No adjustment required.
  2. Remove Duplicate Rows
  3. Join Data
  4. Edit Metadata

Answer(s): A

Explanation:

Use the SMOTE module in Azure Machine Learning Studio to increase the number of underrepresented cases in a dataset used for machine learning. SMOTE is a better way of increasing the number of rare cases than simply duplicating existing cases.


Reference:

https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote



HOTSPOT (Drag and Drop is not supported)
You need to consider the underlined segment to establish whether it is accurate.
Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:



The box-plot algorithm can be used to display outliers.


Reference:

https://medium.com/analytics-vidhya/what-is-an-outliers-how-to-detect-and-remove-them-which-algorithm-are-sensitive-towards-outliers-2d501993d59



You are planning to host practical training to acquaint learners with data visualization creation using Python. Learner devices are able to connect to the internet.
Learner devices are currently NOT configured for Python development. Also, learners are unable to install software on their devices as they lack administrator permissions. Furthermore, they are unable to access Azure subscriptions.
It is imperative that learners are able to execute Python-based data visualization code.
Which of the following actions should you take?

  1. You should consider configuring the use of Azure Container Instance.
  2. You should consider configuring the use of Azure BatchAI.
  3. You should consider configuring the use of Azure Notebooks.
  4. You should consider configuring the use of Azure Kubernetes Service.

Answer(s): C

Explanation:


Reference:

https://notebooks.azure.com/






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