Broadcom 250-608 real exam prep : Tanzu Greenplum v7 Technical Specialist

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Broadcom 250-608 Exam Syllabus Topics:

Broadcom Tanzu Greenplum v7 Technical Specialist Sample Questions:

1. What is a major advantage of using in-database machine learning with Greenplum?

A) Reduces storage requirements by compressing models
B) Eliminates the need for parallel computing
C) Allows GPU-based training by default
D) Avoids data movement by running models close to the data

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

3. Greenplum uses the ___ library to support scalable, in-database machine learning for structured datasets.

A) keras
B) pandas
C) MADlib
D) sklearn

4. When working with GPText, what is a "collection"?

A) A logical backup group for text data
B) A group of external readable tables
C) A memory pool for stored JSON blobs
D) A distributed full-text index in Solr

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

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

Solutions: