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| Section | Weight | Objectives |
|---|---|---|
| Cluster Management & Monitoring | 10% | - Monitoring tools and health checks - Resource groups and workload management |
| Query Optimization & Performance | 11% | - Query planning and execution - Tuning strategies and best practices |
| Troubleshooting & Maintenance | 8% | - Common issues and resolution - Upgrades and patching |
| Security & Access Control | 7% | - Authentication and authorization - Data encryption and compliance |
| Greenplum Foundational Concepts | 5% | - Architecture and components - Distributed database fundamentals |
| Advanced Analytics & Extensions | 12% | - Vector databases and similarity search - In-database ML (MADlib) - Spatial data processing (PostGIS, H3) - Text analytics (GPText) |
| SQL Fundamentals & Functions | 5% | - Basic and advanced SQL - Built-in functions and extensions |
| Data Loading & External Data Access | 12% | - ETL pipelines and utilities - External tables and protocols |
| Database Objects & Data Organization | 10% | - Data distribution and partitioning - Tables, indexes, constraints |
| Data Protection & High Availability | 10% | - Backup and recovery strategies - Mirroring and fault tolerance |
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NEW QUESTION # 47
When should you consider creating a partitioned table in Greenplum?
Answer: A
NEW QUESTION # 48
How does co-location of tables influence query performance in Greenplum?
Answer: C
NEW QUESTION # 49
When using Greenplum, which type of table distribution method ensures evenly spread data based on a column's value?
Answer: C
NEW QUESTION # 50
In PostGIS, what is the typical data type used to store spatial shapes like points, lines, and polygons?
Answer: D
NEW QUESTION # 51
What is the primary benefit of using external readable tables in Greenplum?
Answer: C
NEW QUESTION # 52
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