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Microsoft DP-100 Exam Syllabus Topics:

SectionWeightObjectives
Deploy and retrain models10-15%- Implement retraining pipelines
  • 1. Manage ML pipelines
  • 2. Create scheduled retraining workflows
- Monitor deployed models
  • 1. Track data drift
  • 2. Monitor model performance
Prepare a model for deployment20-25%- Deploy machine learning models
  • 1. Deploy batch inference pipelines
  • 2. Deploy real-time inference endpoints
- Manage deployment assets
  • 1. Register models
  • 2. Create inference configurations
Design and prepare a machine learning solution20-25%- Prepare development environments
  • 1. Configure environments
  • 2. Use SDKs and notebooks
- Design an Azure Machine Learning workspace
  • 1. Configure workspace resources
  • 2. Configure security and access
  • 3. Manage compute resources
Explore data and train models35-40%- Prepare data for modeling
  • 1. Manage datasets and datastores
  • 2. Ingest and transform data
- Run experiments and train models
  • 1. Track experiments
  • 2. Use automated machine learning
  • 3. Perform hyperparameter tuning
- Optimize model performance
  • 1. Improve accuracy and performance
  • 2. Evaluate models

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Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions (Q331-Q336):

NEW QUESTION # 331
You have a deployment of an Azure OpenAI Service base model. You plan to fine-tune the model.
You need to prepare a file that contains training data for multi-turn chat. Which file encoding method should you use?

Answer: B


NEW QUESTION # 332
A biomedical research company plans to enroll people in an experimental medical treatment trial.
You create and train a binary classification model to support selection and admission of patients to the trial. The model includes the following features: Age, Gender, and Ethnicity.
The model returns different performance metrics for people from different ethnic groups.
You need to use Fairlearn to mitigate and minimize disparities for each category in the Ethnicity feature.
Which technique and constraint should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-fairness-ml


NEW QUESTION # 333
You have an Azure Machine Learning workspace. You plan to tune model hyperparameters by using a sweep job.
You need to find a sampling method that supports early termination of low-performance jobs and continuous hyperpara meters.
Solution: Use the Bayesian sampling method over the hyperparameter space.
Does the solution meet the goal?

Answer: A


NEW QUESTION # 334
You train classification and regression models by using automated machine learning.
You must evaluate automated machine learning experiment results. The results include how a classification model is making systematic errors in its predictions and the relationship between the target feature and the regression model ' s predictions. You must use charts generated by automated machine learning.
You need to choose a chart type for each model type.
Which chart types should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
1. Confusion Matrix
2. Prediction vs True
The calibration curve plots a model ' s confidence in its predictions against the proportion of positive samples at each confidence level (https://learn.microsoft.com/en-us/azure/machine-learning/how-to-understand- automated-ml?view=azureml-api-2#calibration-curve) The predicted vs. true chart plots the relationship between the target feature (true/actual values) and the model
' s predictions (https://learn.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-ml?
view=azureml-api-2#predicted-vs-true)


NEW QUESTION # 335
You configure a Deep Learning Virtual Machine for Windows.
You need to recommend tools and frameworks to perform the following:
Build deep rwur.il network (DNN) models.
Perform interactive data exploration and visualization.
Which tools and frameworks should you recommend? To answer, drag the appropriate tools to the correct tasks. Each tool may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 336
......

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