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Broadcom 250-608 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| 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 |
| Greenplum Foundational Concepts | 5% | - Architecture and components - Distributed database fundamentals |
| Security & Access Control | 7% | - Data encryption and compliance - Authentication and authorization |
| Data Loading & External Data Access | 12% | - External tables and protocols - ETL pipelines and utilities |
| Cluster Management & Monitoring | 10% | - Resource groups and workload management - Monitoring tools and health checks |
| Troubleshooting & Maintenance | 8% | - Upgrades and patching - Common issues and resolution |
| Database Objects & Data Organization | 10% | - Tables, indexes, constraints - Data distribution and partitioning |
| Advanced Analytics & Extensions | 12% | - Text analytics (GPText) - In-database ML (MADlib) - Spatial data processing (PostGIS, H3) - Vector databases and similarity search |
| SQL Fundamentals & Functions | 5% | - Basic and advanced SQL - Built-in functions and extensions |
Broadcom Tanzu Greenplum v7 Technical Specialist Sample Questions:
Question #1
A geospatial analyst is building a query in Greenplum to identify all stores within a 5 km radius of each customer location. The coordinates are stored as geometry points.
Which PostGIS function should they use in the WHERE clause?
A. ST_Buffer(store_geom, 5) = customer_geom
B. ST_Contains(customer_geom, store_geom)
C. ST_Area(store_geom) < 5000
D. ST_DWithin(customer_geom, store_geom, 5000)
Question #2
Which two machine learning techniques are supported by MADlib in Greenplum?
(Choose two)
A. Reinforcement Learning
B. Neural Style Transfer
C. Decision Tree Classification
D. k-Means Clustering
Question #3
Which function would you use to apply a trained MADlib model for prediction in Greenplum?
A. madlib.logregr_predict()
B. madlib.predict()
C. madlib_score()
D. madlib.apply_model()
Question #4
Your production Greenplum cluster has a failed primary segment, and the system has automatically promoted the mirror. What should be your next best action as a database administrator?
A. Reinstall the entire database
B. Remove the mirror permanently
C. Restart the master host to trigger mirror demotion
D. Use gprecoverseg to resync and restore the failed segment
Question #5
In what two situations would the Greenplum optimizer choose a broadcast motion during a join?
(Choose two)
A. When co-location isn't possible
B. When one of the tables is small
C. When both tables are partitioned
D. When the join key is evenly distributed
Solutions:
| Question #1 Correct Answer: D | Question #2 Correct Answer: C,D | Question #3 Correct Answer: A | Question #4 Correct Answer: D | Question #5 Correct Answer: A,B |
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