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Broadcom 250-608 Exam Syllabus Topics:

Broadcom Tanzu Greenplum v7 Technical Specialist Sample Questions:

1. What does the gptext-create utility primarily configure?

A) Query rewriting rules
B) Solr collections and schemas
C) New Greenplum segment nodes
D) Network bandwidth usage

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. What are two benefits of performing ML model training directly inside Greenplum using MADlib?
(Choose two)

A) Runs models directly on GPU nodes
B) Eliminates data extraction for model training
C) Automatically generates visualization dashboards
D) Takes advantage of Greenplum's parallel architecture

4. Which of the following is the primary purpose of the Greenplum Command Center (GPCC)?

A) Creating distributed table schemas
B) Managing physical segment storage
C) Running data science workflows and Jupyter notebooks
D) Monitoring and administering Greenplum clusters through a web UI

5. What function would you use in PostGIS to convert text-based coordinates into spatial objects?

A) ST_Transform
B) ST_AsGeoJSON
C) ST_AsText
D) ST_GeomFromText

Solutions: