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Microsoft DP-100 Exam
- Topic 1: Define And Prepare The Development Environment/ Select Development Environment
- Topic 2: Assess The Deployment Environment Constraints/ Select The Development Environment Analyze And Recommend Tools That Meet System Requirements/ Set Up Development Environment Create An Azure Data Science Environment/ Configure Data Science Work Environments
- Topic 3: Transform Data Into Usable Datasets/ Develop Data Structures/ Perform Exploratory Data Analysis (Eda)
- Topic 4: Review Visual Analytics Data To Discover Patterns And Determine Next Steps/ Design A Data Sampling Strategy
- Topic 5: Design The Data Preparation Flow/ Identify Anomalies, Outliers, And Other Data Inconsistencies
- Topic 6: Resolve Anomalies, Outliers, And Other Data Inconsistencies/ Standardize Data Formats/ Perform Feature Extraction Algorithms On Numerical Data/ Perform Feature Extraction Algorithms On Non-Numerical Data
- Topic 7: Select An Algorithmic Approach/ Consider Data Preparation Steps That Are Specific To The Selected Algorithms
- Topic 8: Determine Appropriate Performance Metrics/ Implement Appropriate Algorithms
- Topic 9: Determine Ideal Split Based On The Nature Of The Data/ Determine Number Of Splits/ Identify Data Imbalances
- Topic 10: Determine Relative Size Of Splits/ Resample A Dataset To Impose Balance/ Adjust Performance Metric To Resolve Imbalances
Free Microsoft DP-100 Exam Actual Questions
The questions for DP-100 were last updated On May. 30, 2023
You create a workspace to include a compute instance by using Azure Machine Learning Studio. You are developing a Python SDK v2 notebook in the workspace. You need to use Intellisense in the notebook. What should you do?
You train a model by using Azure Machine Learning. You use Azure Blob Storage to store production data.
The model must be re-trained when new data is uploaded to Azure Blob Storage. You need to minimize development and coding.
You need to configure Azure services to develop a re-training solution.
Which Azure services should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
You create an Azure Machine Learning pipeline named pipeline 1 with two steps that contain Python scnpts. Data processed by the first step is passed to the second step.
You must update the content of the downstream data source of pipeline 1 and run the pipeline again.
You need to ensure the new run of pipeline 1 fully processes the updated content.
Solution: Change the value of the compute.target parameter of the PythonScriptStep object in the two steps.
Does the solution meet the goal'
You train a model by using Azure Machine Learning. You use Azure Blob Storage to store production data.
The model must be re-trained when new data is uploaded to Azure Blob Storage. You need to minimize development and coding.
You need to configure Azure services to develop a re-training solution.
Which Azure services should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
You create an Azure Machine Learning pipeline named pipeline 1 with two steps that contain Python scnpts. Data processed by the first step is passed to the second step.
You must update the content of the downstream data source of pipeline 1 and run the pipeline again.
You need to ensure the new run of pipeline 1 fully processes the updated content.
Solution: Change the value of the compute.target parameter of the PythonScriptStep object in the two steps.
Does the solution meet the goal'
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