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Evaluate a model

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Configure compute for a batch deployment

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Create tables and table columns based on a data model

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Implement row-level and column-level security

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Manage Azure AD groups

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Monitor data pipeline performance

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Import data to Dataverse using Power Query

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Handle data spill

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Design and implement roles and permissions for administering sensitivity labels

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Incorporate the Q&A feature in a report

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Implement queries that use mathematical, string, and date functions

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Maintain indexing policies in production by using ARM templates

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Export a model to run on a specific target

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Describe the purpose and value of conditional access

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Describe the correlation between lifecycle options and pricing

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Identify clustering machine learning scenarios