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Broadcom 250-608 Exam Syllabus Topics:

Broadcom Tanzu Greenplum v7 Technical Specialist Sample Questions:

Question 1

A data analyst wants to train a logistic regression model in Greenplum to predict customer churn. They've structured a dataset with is_churned as the target and several numeric features.
Which steps should they take to complete model training using MADlib?

A. Use gpload to load the model weights
B. Export the data to a CSV file and train using scikit-learn
C. Use a SELECT statement to call madlib.logregr_train() on the dataset
D. Create a writable external table to store model predictions

Question 2

Which of the following best describes Greenplum's architecture model?

A. Massively parallel processing (MPP) with shared-nothing architecture
B. Master-slave replication using monolithic servers
C. Massively parallel processing (MPP) with shared memory access
D. Client-server model with centralized OLAP computation

Question 3

Which spatial function can be used to check whether two geometries share any portion of space?

A. ST_Area
B. ST_Length
C. ST_Intersects
D. ST_Perimeter

Question 4

Which two query characteristics can lead to inefficient execution plans in Greenplum?
(Choose two)

A. Joins between non-co-located tables
B. Using partitioned tables with filters
C. Queries using WHERE clause on indexed columns
D. Large result sets with no LIMIT clause

Question 5

What is the function of gpfdist in the Greenplum data loading process?

A. It backs up files before loading
B. It is a Python library for in-database analytics
C. It transfers tables between databases
D. It acts as a lightweight data server to stream external files to segments

Solutions: