System Architecture Concepts - 14%
Candidates should be able to identify the purposes of different types of metadata, the characteristics of conceptual modeling, the uses and benefits of logical and physical models, strategies for managing system expansion and contraction, the components of an analytic ecosystem and given a scenario, identify the logical model that should be created, how to use an extended logical data model, the strategies to extend traditional application deployment and how to architect a non-production environment.
Data Security - 7%
Candidates should be able to identify the security considerations for multi-system environments, the use cases for secure zones and given a scenario, identify which user authentication mechanism should be used, database mechanisms for controlling access to data and how roles can be used to manage privileges for groups of users.
Information Management and Data Governance - 11%
Candidates should be able to identify the benefits of effective master data management and given a scenario, identify which loading strategy should be used, which Teradata data acquisition tool(s) should be used, how to create data for a non-production environment, and the data retention, placement, and archive strategies that should be used.
Data Protection and System Availability - 11%
Candidates should be able to, given a scenario, identify the backup and recovery strategy that should be used, design considerations in multi-system data replication and loading, and for disaster recover as well as identify features that provide system protection.
Performance Design - 16%
Candidates should be able to, given a scenario, identify physical design choices for indexes, join indexes, row partitioning, column partitioning, time series data, data types, which statistics should be collected and how often for optimal performance and identify the compression options that should be used along with identifying how to manage tables and their relationship to the MAPS feature.
Data Residency and Portability - 3%
Candidates should be able to, given a scenario, identify the considerations for connectivity and data latency for multiple platforms including those hosted in multiple countries.
Architecting for System Performance - 5%
Candidates should be able to identify the benefits of Teradata Virtual Storage and Teradata Intelligent Memory and given a scenario, identify the Unity components and strategy that should be used.
Information Delivery - 10%
Candidates should be able to, given a scenario, identify the appropriate business intelligence architectures and the use cases where QueryGrid is beneficial, for different access layers, where sandboxes should be used and where physicalization of the access layer or a dependent datamart is beneficial.
Data Integration - 11%
Candidates should be able to, given a scenario, identify appropriate data transformation strategy(ies), the appropriate method level to organize tightly, loosely and non-coupled data, when and how surrogate keys should be generated or when natural keys should be used, the strategy that should be used to achieve the correct level of data granularity, the design considerations when using complex data types, when integrating temporal data and when integrating geospatial data and including a data model method, identify the benefits and tradeoffs.
Workload
Management - 12%
Candidates should be able to identify capabilities, benefits and tradeoffs of WM COD, how to leverage workload management using various concepts and given a scenario, how to leverage workload management using state matrix to meet service level goals.