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Broadcom 250-608 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Advanced Analytics & Extensions | 12% | - Text analytics (GPText) - Spatial data processing (PostGIS, H3) - Vector databases and similarity search - In-database ML (MADlib) |
| Cluster Management & Monitoring | 10% | - Monitoring tools and health checks - Resource groups and workload management |
| Greenplum Foundational Concepts | 5% | - Architecture and components - Distributed database fundamentals |
| Data Protection & High Availability | 10% | - Mirroring and fault tolerance - Backup and recovery strategies |
| Query Optimization & Performance | 11% | - Query planning and execution - Tuning strategies and best practices |
| Data Loading & External Data Access | 12% | - External tables and protocols - ETL pipelines and utilities |
| Database Objects & Data Organization | 10% | - Data distribution and partitioning - Tables, indexes, constraints |
| Security & Access Control | 7% | - Authentication and authorization - Data encryption and compliance |
| Troubleshooting & Maintenance | 8% | - Upgrades and patching - Common issues and resolution |
| SQL Fundamentals & Functions | 5% | - Built-in functions and extensions - Basic and advanced SQL |
Broadcom Tanzu Greenplum v7 Technical Specialist Sample Questions:
When working with GPText, what is a "collection"?
- A. A distributed full-text index in Solr
- B. A memory pool for stored JSON blobs
- C. A logical backup group for text data
- D. A group of external readable tables
Correct Answer: A 🗳️
What are two characteristics of hash-distributed tables in Greenplum that enhance query performance?
(Choose two)
- A. Evenly distributes data across segments
- B. Reduces segment-level locking
- C. Enables co-location of related rows
- D. Supports automatic compression
Correct Answer: A,C 🗳️
Which two machine learning techniques are supported by MADlib in Greenplum?
(Choose two)
- A. Neural Style Transfer
- B. Decision Tree Classification
- C. Reinforcement Learning
- D. k-Means Clustering
Correct Answer: B,D 🗳️
Which two steps help improve ML model accuracy when using MADlib?
(Choose two)
- A. Normalizing numeric input features
- B. Splitting data into training and test sets
- C. Repartitioning tables to a single segment
- D. Rewriting queries using hash joins
Correct Answer: A,B 🗳️
How does Greenplum ensure high availability of its master node?
- A. By replicating data across all segment nodes
- B. Through the use of a standby master node
- C. Through a distributed file system
- D. By automatically restarting failed services
Correct Answer: B 🗳️
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