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Broadcom 250-608 Exam Syllabus Topics:

Broadcom Tanzu Greenplum v7 Technical Specialist Sample Questions:

1. How does Greenplum handle parallelism during ML model training using MADlib?

A) It distributes training data across segments
B) It uses hash joins to improve accuracy
C) It runs models sequentially on the master node
D) It offloads training to a single segment for consistency

2. Which two steps are typically required when building a supervised learning model using MADlib?
(Choose two)

A) Migrating the database to Hadoop
B) Running the MADlib training function
C) Compressing the model using ORC
D) Creating a feature matrix and target column

3. Which two options describe Greenplum's approach to disaster recovery?
(Choose two)

A) Periodic reindexing of all tables
B) Backups with gpbackup
C) Enabling foreign data wrappers
D) Use of segment mirroring

4. Which two types of external tables are supported in Greenplum?
(Choose two)

A) Logical table
B) Readable external table
C) Distributed mirror table
D) Writable external table

5. Which open-source framework is integrated into Greenplum to support in-database machine learning?

A) MADlib
B) Apache Spark
C) PyTorch
D) TensorFlow

Solutions: