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Broadcom 250-608 Exam Syllabus Topics:

Broadcom Tanzu Greenplum v7 Technical Specialist Sample Questions:

1. A data architect is designing a Greenplum database for an e-commerce company handling large datasets with frequent joins on customer_id. To optimize performance and ensure even data distribution across segments, what should the architect do?

A) Apply random distribution for all tables
B) Use replicated tables on all segments
C) Define hash distribution on customer_id for related tables
D) Store all tables on the master node for centralized access

2. Which of the following algorithms is available in the MADlib library?

A) YOLOv3
B) Convolutional Neural Network (CNN)
C) Long Short-Term Memory (LSTM)
D) Logistic Regression

3. What does the Greenplum Master host primarily manage?

A) Execution of machine learning models
B) User connections, query planning, and dispatching
C) Storage and memory allocation
D) Parallel processing of queries across segments

4. Which component in Greenplum handles query planning?

A) Query Optimizer
B) Query Dispatcher
C) Query Executor
D) Coordinator Host

5. What is required before training any machine learning model using MADlib in Greenplum?

A) Indexing of all numeric columns
B) Conversion of table to external format
C) Structured input data with labeled features
D) Enabling of MADlib in every user schema

Solutions: