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Broadcom 250-608 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Advanced Analytics & Extensions12%- Spatial data processing (PostGIS, H3)
- Text analytics (GPText)
- In-database ML (MADlib)
- Vector databases and similarity search
Topic 2: Database Objects & Data Organization10%- Tables, indexes, constraints
- Data distribution and partitioning
Topic 3: Troubleshooting & Maintenance8%- Common issues and resolution
- Upgrades and patching
Topic 4: Cluster Management & Monitoring10%- Resource groups and workload management
- Monitoring tools and health checks
Topic 5: Greenplum Foundational Concepts5%- Distributed database fundamentals
- Architecture and components
Topic 6: Data Loading & External Data Access12%- External tables and protocols
- ETL pipelines and utilities
Topic 7: Security & Access Control7%- Data encryption and compliance
- Authentication and authorization
Topic 8: SQL Fundamentals & Functions5%- Basic and advanced SQL
- Built-in functions and extensions
Topic 9: Data Protection & High Availability10%- Backup and recovery strategies
- Mirroring and fault tolerance
Topic 10: Query Optimization & Performance11%- Query planning and execution
- Tuning strategies and best practices

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Broadcom Tanzu Greenplum v7 Technical Specialist Sample Questions (Q114-Q119):

NEW QUESTION # 114
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?

Answer: B


NEW QUESTION # 115
A data scientist at a media firm needs to analyze thousands of social media posts for keywords related to public sentiment. The documents are ingested into a GPText collection named social_streams.
Which solution enables the fastest search for posts containing the keyword "privacy"?

Answer: C


NEW QUESTION # 116
Which utility is responsible for performing a full or incremental segment recovery?

Answer: C


NEW QUESTION # 117
Which of the following are the in-database ML solutions with Greenplum?

Answer: A,C


NEW QUESTION # 118
What Greenplum component supports spatial indexing using hexagonal grids?

Answer: C


NEW QUESTION # 119
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