Free Microsoft DP-100 Exam Dumps Questions & Answers

You are a lead data scientist for a project that tracks the health and migration of birds. You create a multi- class image classification deep learning model that uses a set of labeled bird photographs collected by experts.
You have 100,000 photographs of birds. All photographs use the JPG format and are stored in an Azure blob container in an Azure subscription.
You need to access the bird photograph files in the Azure blob container from the Azure Machine Learning service workspace that will be used for deep learning model training. You must minimize data movement.
What should you do?

• A.Register the Azure blob storage containing the bird photographs as a datastore in Azure Machine Learning service.
• B.Create and register a dataset by using TabularDataset class that references the Azure blob storagecontaining bird photographs.
• C.Create an Azure Data Lake store and move the bird photographs to the store.
• D.Copy the bird photographs to the blob datastore that was created with your Azure Machine Learningservice workspace.
• E.Create an Azure Cosmos DB database and attach the Azure Blob containing bird photographs storage to the database.

You have an Azure subscription that contains a resource group named rg-ml.
You plan to create an Azure Machine Learning workspace named workspacel in rg-ml by using Azure Machine Learning Python SDK v2.
You need to ensure workspacel is configured to prevent the collection of potentially sensitive data by Microsoft diagnostics.
How should you complete the provided code? To answer, select the appropnate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation:

You build and manage a model by using Azure Machine Learning workspace.
Before you deploy the model, you must create a Responsible Al dashboard in Azure Machine Learning studio.
The dashboard must provide observation of the following:
* metrics that show real-world impact on an outcome of interest due to taking a treatment policy
* examples with minimal changes to a particular data point such that the model ' s prediction changes You need to implement the components for the Responsible Al dashboard.
Which components should you implement? To answer, move the appropriate components to the correct observations. You may use each component once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation:

You use the Azure Machine learning SDK foe Python to create a pipeline that includes the following step:
The output of the step run must be cached and reused on subsequent runs when the source.directory value has not changed.
You need to define the step.
What should you include in the step definition?

• A.allow.reuse
• B.hash_path
• C.version
• D.data-as_input(name-)

You need to set up the Permutation Feature Importance module according to the model training requirements.
Which properties should you select? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation:

Box 1: Accuracy
Scenario: You want to configure hyperparameters in the model learning process to speed the learning phase by using hyperparameters. In addition, this configuration should cancel the lowest performing runs at each evaluation interval, thereby directing effort and resources towards models that are more likely to be successful.
Box 2: R-Squared