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Evaluate a model

Configure compute for a batch deployment

Create tables and table columns based on a data model

Implement row-level and column-level security

Manage Azure AD groups

Monitor data pipeline performance

Import data to Dataverse using Power Query

Handle data spill

Design and implement roles and permissions for administering sensitivity labels

Incorporate the Q&A feature in a report

Implement queries that use mathematical, string, and date functions

Maintain indexing policies in production by using ARM templates

Export a model to run on a specific target

Describe the purpose and value of conditional access

Describe the correlation between lifecycle options and pricing

Identify clustering machine learning scenarios