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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 Sep. 22, 2023
You have the following Azure subscriptions and Azure Machine Learning service workspaces:
You need to obtain a reference to the mi-protect workspace
Solution: Run the following Python code.
Does the solution meet the goal?
You use Azure Machine Learning to tram a model.
You must use Baylean sampling to Tune hyperparaters.
You need to select a learning_rate parameter distribution.
Which two distributions can you use? Each correct answer presents a complete solution.
NOTE Each correct selection is worth one point.
You have the following Azure subscriptions and Azure Machine Learning service workspaces:
You need to obtain a reference to the mi-protect workspace
Solution: Run the following Python code.
Does the solution meet the goal?
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 train and register an Azure Machine Learning model.
You plan to deploy the model to an online endpoint.
You need to ensure that applications will be able to use the authentication method with a non-expiring artifact to access the model.
Solution:
Create a managed online endpoint and set the value of its auto_mode parameter to key. Deploy the model to the inline endpoint.
Does the solution meet the goal?
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?
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