Description
Exam Name: Teradata TDBL1-16.20 Exam
Exam Code: TDBL1-16.20
Related Certification(s): Teradata 16 Certified Associate
Certification Provider: Teradata
Number of TDBL1-16.20 practice questions in our database: 100
Expected TDBL1-16.20 Exam Topics, as suggested by Teradata
Topic 1: Teradata Architecture and Components
This topic covers the fundamental architecture of Teradata, including its MPP (Massively Parallel Processing) framework, nodes, parsing engines, BYNET, and AMP components. It also discusses how data is distributed across the system.
Topic 2: Database Design and Indexing
Understanding the concepts of database design, primary and secondary indexes, hashing algorithms, partitioned primary indexes (PPI), and join indexes. The topic also covers best practices for efficient data retrieval and performance optimization.
Topic 3: SQL Essentials and Query Performance
This section explains SQL fundamentals within Teradata, including SELECT statements, joins, subqueries, aggregation functions, and stored procedures. It also discusses query optimization techniques to enhance performance.
Topic 4: Data Loading and ETL Processes
It focuses on various data-loading utilities such as FastLoad, MultiLoad, TPT (Teradata Parallel Transporter), and TPump. The topic also covers ETL best practices, error handling, and troubleshooting data integration issues.
Topic 5: Security and User Access Management
This topic addresses Teradata security measures, including authentication methods, access control mechanisms, user role management, and encryption for data protection.
Topic 6: Performance Tuning and Workload Management
The section discusses performance tuning techniques, including statistics collection, query rewrites, workload management strategies, and the use of Teradata Workload Analyzer (TWA).
Topic 7: Backup, Restore, and Disaster Recovery
It covers different Teradata backup and recovery strategies, ARC utility, disaster recovery planning, and high availability solutions.
Topic 8: Integration with Business Intelligence (BI) Tools
This topic explains how Teradata integrates with BI tools such as Tableau, Power BI, and SAS for analytics and reporting. It also covers ODBC/JDBC connectivity and data visualization strategies.
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