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Broadcom Tanzu Greenplum v7 Technical Specialist Sample Questions:
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) Create a writable external table to store model predictions
B) Use a SELECT statement to call madlib.logregr_train() on the dataset
C) Export the data to a CSV file and train using scikit-learn
D) Use gpload to load the model weights
2. An administrator is monitoring Greenplum using GPCC and notices that a specific query has been running for over 30 minutes, consuming high CPU on multiple segments. What is the best next action using GPCC?
A) Reboot the segment hosts experiencing high CPU
B) Restart the Greenplum master host
C) Cancel or terminate the query directly from the GPCC interface
D) Disable parallel execution for that query type
3. Which two tasks can be performed using the gpstart utility?
(Choose two)
A) Start the entire Greenplum cluster
B) Start standby master if configured
C) Start only the master node
D) Start a specific user's session
4. How can GPCC assist in identifying problematic queries?
A) By exporting query results to external CSV files
B) By highlighting queries with high resource usage in real time
C) By automatically terminating all long-running queries
D) By removing queries from system logs
5. Which two statements are true regarding the ST_DWithin function in PostGIS?
(Choose two)
A) It is used to measure the area of a geometry
B) It can leverage spatial indexes for performance
C) It returns true if two geometries are within a specified distance
D) It only works on GEOGRAPHY types
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: A,B | Question # 4 Answer: B | Question # 5 Answer: B,C |


