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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cluster Management & Monitoring | 10% | - Resource groups and workload management - Monitoring tools and health checks |
| Topic 2: SQL Fundamentals & Functions | 5% | - Basic and advanced SQL - Built-in functions and extensions |
| Topic 3: Database Objects & Data Organization | 10% | - Tables, indexes, constraints - Data distribution and partitioning |
| Topic 4: Query Optimization & Performance | 11% | - Query planning and execution - Tuning strategies and best practices |
| Topic 5: Advanced Analytics & Extensions | 12% | - Vector databases and similarity search - Spatial data processing (PostGIS, H3) - Text analytics (GPText) - In-database ML (MADlib) |
| Topic 6: Data Protection & High Availability | 10% | - Backup and recovery strategies - Mirroring and fault tolerance |
| Topic 7: Greenplum Foundational Concepts | 5% | - Architecture and components - Distributed database fundamentals |
| Topic 8: Troubleshooting & Maintenance | 8% | - Upgrades and patching - Common issues and resolution |
| Topic 9: Security & Access Control | 7% | - Authentication and authorization - Data encryption and compliance |
| Topic 10: Data Loading & External Data Access | 12% | - External tables and protocols - ETL pipelines and utilities |
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NEW QUESTION # 102
What are two primary use cases of the H3 indexing system in spatial analytics?
(Choose two)
Answer: B,C
NEW QUESTION # 103
The SQL function ___ is used in Greenplum to perform text-based queries against GPText collections.
Answer: B
NEW QUESTION # 104
What is the primary benefit of using external readable tables in Greenplum?
Answer: C
NEW QUESTION # 105
Greenplum's ___ utility checks disk, memory, and network performance between hosts, aiding in system validation before expansion.
Answer: C
NEW QUESTION # 106
What are two benefits of performing ML model training directly inside Greenplum using MADlib?
(Choose two)
Answer: A,D
NEW QUESTION # 107
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