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Broadcom 250-608 Exam Syllabus Topics:

Broadcom Tanzu Greenplum v7 Technical Specialist Sample Questions:

1. 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

2. What are two benefits of performing ML model training directly inside Greenplum using MADlib?
(Choose two)

A) Takes advantage of Greenplum's parallel architecture
B) Eliminates data extraction for model training
C) Runs models directly on GPU nodes
D) Automatically generates visualization dashboards

3. What are two key differences between gpbackup and pg_dump when used in Greenplum?
(Choose two)

A) gpbackup is optimized for Greenplum's distributed architecture
B) gpbackup supports incremental backups natively
C) gpbackup supports multi-segment parallelism
D) pg_dump is exclusive to append-only tables

4. What happens when Greenplum cannot perform a local join due to mismatched distribution keys?

A) Data replication is triggered automatically
B) A broadcast motion or redistribute motion occurs
C) The query fails with a distribution error
D) The query falls back to the master node for execution

5. Which Greenplum utility is typically used to add new segment hosts to an existing cluster?

A) gpupgrade
B) gpexpand
C) gpload
D) gpinit

Solutions: