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Broadcom 250-608 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Protection & High Availability | 10% | - Mirroring and fault tolerance - Backup and recovery strategies |
| Topic 2: Database Objects & Data Organization | 10% | - Tables, indexes, constraints - Data distribution and partitioning |
| Topic 3: Query Optimization & Performance | 11% | - Tuning strategies and best practices - Query planning and execution |
| Topic 4: Troubleshooting & Maintenance | 8% | - Upgrades and patching - Common issues and resolution |
| Topic 5: SQL Fundamentals & Functions | 5% | - Basic and advanced SQL - Built-in functions and extensions |
| Topic 6: Advanced Analytics & Extensions | 12% | - Text analytics (GPText) - Vector databases and similarity search - Spatial data processing (PostGIS, H3) - In-database ML (MADlib) |
| Topic 7: Data Loading & External Data Access | 12% | - ETL pipelines and utilities - External tables and protocols |
| Topic 8: Cluster Management & Monitoring | 10% | - Monitoring tools and health checks - Resource groups and workload management |
| Topic 9: Greenplum Foundational Concepts | 5% | - Distributed database fundamentals - Architecture and components |
| Topic 10: Security & Access Control | 7% | - Data encryption and compliance - Authentication and authorization |
Broadcom Tanzu Greenplum v7 Technical Specialist Sample Questions:
Which utility in Greenplum is most commonly used for parallel data loading from external files?
- A. gpbackup
- B. gpfdist
- C. gptransfer
- D. gpload
Correct Answer: D 🗳️
Greenplum's MPP architecture allows data to be processed in ___ across multiple segment instances.
- A. isolation
- B. serial
- C. memory
- D. parallel
Correct Answer: D 🗳️
Which statement is true about using gpload for loading data into Greenplum?
- A. It loads data serially for each segment
- B. It requires the source files to be in a database-compatible binary format
- C. It uses a YAML configuration to define load parameters
- D. It must be run from the master host
Correct Answer: C 🗳️
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
Correct Answer: B 🗳️
How does Greenplum ensure data consistency during backups?
- A. By locking all user tables
- B. By replicating data to external storage
- C. By using transaction snapshots
- D. By creating immediate binary copies of each segment
Correct Answer: C 🗳️
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