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Questions and Answers
What is the primary purpose of Databricks SQL?
What is the benefit of using Databricks Workflows and Jobs for ML?
What is the focus of the provided reference architecture for MLOps on the Databricks Lakehouse platform?
What is omitted from the provided reference architecture diagrams?
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What is the purpose of the 'deploy code' pattern in MLOps?
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What is the relationship between Databricks Workflows and Delta Live Tables?
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What is a key benefit of a Data Lakehouse architecture?
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What is the primary purpose of MLflow's Model Registry component?
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Which of the following is NOT a component of MLflow?
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What is the purpose of MLflow's Tracking component?
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What type of data is typically stored in a Data Lakehouse?
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What is the name of the architecture used to organize data in a Data Lakehouse?
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What is indicated by marking data as dev, staging, or prod?
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How is access to data in each environment controlled?
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What is the primary difference between assets in dev and prod environments?
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What is a result of managing models and code separately in MLOps?
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What is labeled according to its origin in dev, staging, or prod execution environments?
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What is used to control access to data in each environment?
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