Podcast
Questions and Answers
What is the primary purpose of using the SMOTE module in Azure Machine Learning Studio?
What is the primary purpose of using the SMOTE module in Azure Machine Learning Studio?
Which module should you use to divide data into two distinct datasets in Azure Machine Learning Studio?
Which module should you use to divide data into two distinct datasets in Azure Machine Learning Studio?
What is a common reason for a dataset to be imbalanced?
What is a common reason for a dataset to be imbalanced?
What is the benefit of using SMOTE over duplicating existing cases?
What is the benefit of using SMOTE over duplicating existing cases?
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What is the purpose of the Partition and Sample module in Azure Machine Learning Studio?
What is the purpose of the Partition and Sample module in Azure Machine Learning Studio?
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What is a common issue in machine learning datasets?
What is a common issue in machine learning datasets?
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Which module should you use to handle null rows in a dataset in Azure Machine Learning Studio?
Which module should you use to handle null rows in a dataset in Azure Machine Learning Studio?
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What is the context in which the SMOTE module is typically used?
What is the context in which the SMOTE module is typically used?
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What is the primary goal of modifying the cluster properties in the given scenario?
What is the primary goal of modifying the cluster properties in the given scenario?
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What is the condition for terminating the training runs in the given scenario?
What is the condition for terminating the training runs in the given scenario?
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What is the purpose of the early termination policy in the given scenario?
What is the purpose of the early termination policy in the given scenario?
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What is the goal of the classification model in the given scenario?
What is the goal of the classification model in the given scenario?
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What is the purpose of identifying the feature with the most influence on the predictions of the model?
What is the purpose of identifying the feature with the most influence on the predictions of the model?
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What is the tool used for training the classification model in the given scenario?
What is the tool used for training the classification model in the given scenario?
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What is the benefit of using early termination policy in the given scenario?
What is the benefit of using early termination policy in the given scenario?
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What is the minimum number of instances specified in the cluster definition?
What is the minimum number of instances specified in the cluster definition?
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When creating a new Azure Machine Learning workspace with a compute cluster, what is the recommended approach to create the compute cluster?
When creating a new Azure Machine Learning workspace with a compute cluster, what is the recommended approach to create the compute cluster?
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What is the primary requirement for a compute target in Azure Machine Learning?
What is the primary requirement for a compute target in Azure Machine Learning?
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When training and deploying an Azure Machine Learning solution, what is the role of a compute target?
When training and deploying an Azure Machine Learning solution, what is the role of a compute target?
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What is the benefit of using autoscaling in an Azure Machine Learning compute target?
What is the benefit of using autoscaling in an Azure Machine Learning compute target?
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When using the Azure Machine Learning designer, what is the purpose of the Add Rows module?
When using the Azure Machine Learning designer, what is the purpose of the Add Rows module?
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What is the recommended approach for deploying an Azure Machine Learning solution to production?
What is the recommended approach for deploying an Azure Machine Learning solution to production?
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What is the benefit of using Azure Machine Learning for data science projects?
What is the benefit of using Azure Machine Learning for data science projects?
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What is the primary benefit of using on-premises compute resources in Azure Machine Learning?
What is the primary benefit of using on-premises compute resources in Azure Machine Learning?
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Study Notes
Cluster Properties
- A cluster is defined with properties: name, size, min_instances, max_instances, and tier.
- In the given example, the properties are:
- name: "mlcluster1"
- size: "STANDARD.DS3.v2"
- min_instances: 1
- max_instances: 4
- tier: "dedicated"
Cost Minimization
- To minimize the cost of compute resources, modify the cluster properties.
- The goal is to reduce costs when the workload is active or idle.
Hyperparameter Tuning
- Azure Machine Learning is used to implement hyperparameter tuning for a model training.
- Training runs must terminate when the primary metric is lowered by 25% or more compared to the best performing run.
- An early termination policy is needed to terminate training jobs.
Feature Influence
- In Azure Machine Learning studio, a classification model is trained with no-code AutoML.
- The model predicts if a client will subscribe to a fixed-term deposit.
- Identify the feature that has the most influence on the model's predictions for the second highest scoring algorithm.
Compute Cluster Creation
- Create a compute cluster asynchronously using the Azure Machine Learning Python SDK v2.
- Complete the code segment to create the compute cluster.
Compute Target Configuration
- Design an Azure Machine Learning solution using the Python SDK v2.
- Train and deploy the solution using a compute target that meets the requirements:
- Enables the use of on-premises compute resources.
- Supports autoscaling.
Dataset Manipulation
- Use Azure Machine Learning designer to load datasets into an experiment.
- Create a dataset with the same columns and header row as the input datasets and contains all rows from both input datasets.
Classification Task
- Solve a classification task with an imbalanced dataset.
- Use the Synthetic Minority Oversampling Technique (SMOTE) module in Azure Machine Learning Studio to improve classification accuracy.
Data Division
- Use Azure Machine Learning Studio to divide data into two distinct datasets.
- The Partition and Sample module with the Stratified split option is used to partition the data.
Handling Null Rows
- Handle a dataset that contains null rows in a machine learning model.
- Use suitable techniques to handle null values in the dataset.
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Description
Modify Azure cluster properties to minimize compute resource costs while ensuring workload performance. This quiz tests your knowledge of Azure cluster configuration for cost optimization and workload management.