DATA ARCHITECTURES – 10%
Candidates should identify high-level concepts and major components of the data lake architecture, as well as understand use cases, flow data, and reasons for deploying a data lake architecture.
DATA DISTRIBUTION AND ACCESS – 12%
Candidates should be able to identify use cases of advanced indexes, the impact the Primary Index has on data distribution, the differences between Primary Index and Primary Key, the types, levels and functionality of locking and the purpose and components of the access layer as well as use cases of semi-structured data.
TERADATA TOOLS AND UTILITIES – 14%
Candidates must be able to identify the common data integration techniques, , the features and functions to administer and monitor VantageCloud Lake, access methods for VantageCloud Lake and the features and functions to management and monitor analytic workflow.