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Viewing questions 16-30 out of questions
Questions # 16:

You need to identify the methods for dividing the data according, to the testing requirements.

Which properties should you select? To answer, select the appropriate option-, m the answer area. NOTE: Each correct selection is worth one point.

Question # 16

Options:

Expert Solution
Questions # 17:

You need to correct the model fit issue.

Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Question # 17

Options:

Expert Solution
Questions # 18:

You need to identify the methods for dividing the data according to the testing requirements.

Which properties should you select? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Question # 18

Options:

Expert Solution
Questions # 19:

You need to replace the missing data in the AccessibilityToHighway columns.

How should you configure the Clean Missing Data module? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Question # 19

Options:

Expert Solution
Questions # 20:

You need to produce a visualization for the diagnostic test evaluation according to the data visualization requirements.

Which three modules should you recommend be used in sequence? To answer, move the appropriate modules from the list of modules to the answer area and arrange them in the correct order.

Question # 20

Options:

Expert Solution
Questions # 21:

You need to visually identify whether outliers exist in the Age column and quantify the outliers before the outliers are removed.

Which three Azure Machine Learning Studio modules should you use in sequence? To answer, move the appropriate modules from the list of modules to the answer area and arrange them in the correct order.

Question # 21

Options:

Expert Solution
Questions # 22:

You have an Azure Machine Learning workspace. You are connecting an Azure Data Lake Storage Gen2 account to the workspace as a data store. You need to authorize access from the workspace to the Azure Data Lake Storage Gen2 account.

What should you use?

Options:

A.

Managed identity

B.

SAS token

C.

Service principal

D.

Account key

Expert Solution
Questions # 23:

You manage an Azure Machine Learning workspace. The Pylhon scrip! named scriptpy reads an argument named training_data. The trainlng.data argument specifies the path to the training data in a file named datasetl.csv.

You plan to run the scriptpy Python script as a command job that trains a machine learning model.

You need to provide the command to pass the path for the datasct as a parameter value when you submit the script as a training job.

Solution: python script.py –training_data dataset1,csv

Does the solution meet the goal?

Options:

A.

Yes

B.

No

Expert Solution
Questions # 24:

You create an Azure Machine learning workspace. The workspace contains a folder named src. The folder contains a Python script named script 1 .py.

You use the Azure Machine Learning Python SDK v2 to create a control script. You must use the control script to run script l.py as part of a training job.

You need to complete the section of script that defines the job parameters.

How should you complete the script? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Question # 24

Options:

Expert Solution
Questions # 25:

You manage an Azure OpenAI Service deployment of the gpt-4o-mini base model.

You plan to fine-tune the deployed model by using OpenAI Python la code. In the code, you import all required Python libraries and create a sample training data set.

You need to complete the next section of the code to estimate the cost of fine-tuning by using the sample training data set.

How should you complete the code section? To answer, select the appropnate options in the answer area.

NOTE: Each correct selection is worth one point.

Question # 25

Options:

Expert Solution
Questions # 26:

You manage an Azure Machine Learning workspace.

You must set up an event-driven process to trigger a retraining pipeline.

You need to configure an Azure service that will trigger a retraining pipeline in response to data drift in Azure Machine Learning datasets. Which Azure service should you use?

Options:

A.

Event Grid

B.

Azure Functions

C.

Event Hubs

D.

Logic Apps

Expert Solution
Questions # 27:

You download a .csv file from a notebook in an Azure Machine Learning workspace to a data/sample.csv folder on a compute instance. The file contains 10,000 records. You must generate the summary statistics for the data in the file. The statistics must include the following for each numerical column:

• number of non-empty values

• average value

• standard deviation

• minimum and maximum values

• 25th. 50th. and 75th percentiles

You need to complete the Python code that will generate the summary statistics.

Which code segments should you use? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Question # 27

Options:

Expert Solution
Questions # 28:

You have an Azure subscription named Sub1 that contains an Azure

• a registered MLflow model named Model1

• an online endpoint named Endpoint1

Outbound network connectivity from Endpointl is blocked. You need to deploy ModeM to Endpointl. What should you do first?

Options:

A.

In Workspacel. create a linked service.

B.

In Subl, create an Azure Machine Learning registry.

C.

In Workspacel. create a package.

D.

In Workspace! create a package.

E.

In Subl, create a private endpoint

Expert Solution
Questions # 29:

You are using Azure Machine Learning to train machine learning models. You need a compute target on which to remotely run the training script. You run the following Python code:

Question # 29

Question # 29

Options:

Expert Solution
Questions # 30:

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 a model to forecast weather conditions based on historical data.

You need to create a pipeline that runs a processing script to load data from a datastore and pass the processed data to a machine learning model training script.

Solution: Run the following code:

Question # 30

Does the solution meet the goal?

Options:

A.

Yes

B.

No

Expert Solution
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Viewing questions 16-30 out of questions