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

2. In Greenplum, the ___ SQL clause is typically used to filter test data after training a model with MADlib.

A) WHERE
B) GROUP BY
C) CREATE INDEX
D) TRAIN ON

3. Which two metrics are commonly visualized in GPCC to evaluate cluster performance?
(Choose two)

A) CPU utilization
B) Network broadcast domains
C) Number of PostgreSQL extensions
D) Query execution time

4. Which two formats are valid output types for MADlib prediction functions?
(Choose two)

A) Probability values
B) Predicted labels
C) JSON-formatted model binaries
D) PNG charts

5. How does Greenplum ensure high availability of its master node?

A) Through the use of a standby master node
B) By automatically restarting failed services
C) By replicating data across all segment nodes
D) Through a distributed file system

Solutions: