Microsoft DP-100 Quiz 3 Topic 2 Questions 11-15

Question: 1

You are training machine learning models in Azure Machine Learning. You use Hyperdrive to tune the hyperparameters. In previous model training and tuning runs, many models showed similar performance. You need to select an early termination policy that meets the following requirements:

* accounts for the performance of all previous runs when evaluating the current run

* avoids comparing the current run with only the best performing run to date

Which two early termination policies should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

ABandit

BMedian stopping

CDefault

DTruncation selection

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Question: 2

You manage an Azure Machine Learning workspace named workspaces

You must develop Python SDK v2 code to attach an Azure Synapse Spark pool as a compute target in workspaces The code must invoke the constructor of the SynapseSparkCompute class.

You need to invoke the constructor.

What should you use?

ASynapse workspace web URL and Spark pool name

Bresource ID of the Synapse Spark pool and a user-defined name

Cpool URL of the Synapse Spark pool and a system-assigned name

DSynapse workspace name and workspace web URL

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Question: 3

A set of CSV files contains sales records. All the CSV files have the same data schema.

Each CSV file contains the sales record for a particular month and has the filename sales.csv. Each file in stored in a folder that indicates the month and year when the data was recorded. The folders are in an Azure blob container for which a datastore has been defined in an Azure Machine Learning workspace. The folders are organized in a parent folder named sales to create the following hierarchical structure:

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At the end of each month, a new folder with that month's sales file is added to the sales folder.

You plan to use the sales data to train a machine learning model based on the following requirements:

* You must define a dataset that loads all of the sales data to date into a structure that can be easily converted to a dataframe.

* You must be able to create experiments that use only data that was created before a specific previous month, ignoring any data that was added after that month.

* You must register the minimum number of datasets possible.

You need to register the sales data as a dataset in Azure Machine Learning service workspace.

What should you do?

ACreate a tabular dataset that references the datastore and explicitly specifies each 'sales/mm-yyyy/
sales.csv' file every month. Register the dataset with the name sales_dataset each month, replacing the
existing dataset and specifying a tag named month indicating the month and year it was registered. Use
this dataset for all experiments.

BCreate a tabular dataset that references the datastore and specifies the path 'sales/*/sales.csv', register the dataset with the name sales_dataset and a tag named month indicating the month and year it was registered, and use this dataset for all experiments.

CCreate a new tabular dataset that references the datastore and explicitly specifies each 'sales/mm-yyyy/ sales.csv' file every month. Register the dataset with the name sales_dataset_MM-YYYY each month with appropriate MM and YYYY values for the month and year. Use the appropriate month-specific dataset for experiments.

DCreate a tabular dataset that references the datastore and explicitly specifies each 'sales/mm-yyyy/
sales.csv' file. Register the dataset with the name sales_dataset each month as a new version and with a tag named month indicating the month and year it was registered. Use this dataset for all experiments,
identifying the version to be used based on the month tag as necessary.

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Question: 4

You create an Azure Machine Learning workspace.

You must create a custom role named DataScientist that meets the following requirements:

* Role members must not be able to delete the workspace.

* Role members must not be able to create, update, or delete compute resource in the workspace.

* Role members must not be able to add new users to the workspace.

You need to create a JSON file for the DataScientist role in the Azure Machine Learning workspace.

The custom role must enforce the restrictions specified by the IT Operations team.

Which JSON code segment should you use?

A)

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B)

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C)

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D)

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AOption A

BOption B

COption C

DOption D

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Question: 5

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 are a data scientist using Azure Machine Learning Studio.

You need to normalize values to produce an output column into bins to predict a target column.

Solution: Apply a Equal Width with Custom Start and Stop binning mode.

Does the solution meet the goal?

AYes

BNo

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Microsoft DP-100 Quiz:3 Topic:2 Questions:11-15