Databricks-Machine-Learning-Professional
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Databricks
Databricks-Machine-Learning-Professional Exam
Databricks Certified Machine Learning Professional
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| Topic | Details |
|---|
| Topic 1 | - Identify a use case for HTTP webhooks and where the Webhook URL needs to come
- Identify advantages of using Job clusters over all-purpose clusters
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| Topic 2 | - Identify JIT feature values as a need for real-time deployment
- Describe how to list all webhooks and how to delete a webhook
|
| Topic 3 | - Identify which code block will trigger a shown webhook
- Describe the basic purpose and user interactions with Model Registry
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| Topic 4 | - Identify that data can arrive out-of-order with structured streaming
- Identify how model serving uses one all-purpose cluster for a model deployment
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| Topic 5 | - Describe the advantages of using the pyfunc MLflow flavor
- Manually log parameters, models, and evaluation metrics using MLflow
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| Topic 6 | - Describe concept drift and its impact on model efficacy
- Describe summary statistic monitoring as a simple solution for numeric feature drift
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