Data Platform Gravity — Learn free

Self-check

Questions 1–10 of 10

1. What is the central idea of Data Platform Gravity?
Question 1A. Every aspect of data handling, from ingestion to transformation, analytics and deployment, is achieved within a single, unified platformB. Data should be physically moved to the largest data centreC. Each team should choose its own best-of-breed toolD. All data must be stored on premisesE. Data should be replicated to every system that might need it
2. Which paradigm is Data Platform Gravity said to be inspired by?
Question 2A. Data VaultB. Data FabricC. Data MeshD. Star schemaE. Waterfall
3. Which inefficiency is named as a consequence of the fragmented, multi-tool approach that Data Platform Gravity seeks to replace?
Question 3A. Too much collaboration between teamsB. Excessive data governanceC. Data duplication, integration challenges and increased costsD. Too few dashboardsE. Over-reliance on open standards
4. Which of the following is NOT listed as a core component of a Data Platform Gravity system?
Question 4A. Data IngestionB. Data Transformation (ETL/ELT)C. Business Intelligence (BI)D. Physical hardware manufacturingE. Data Integration and Sharing
5. How does building BI dashboards directly within a Data Platform Gravity system benefit reporting?
Question 5A. It removes the need for any data transformationB. It allows dashboards to be sold to competitorsC. It makes data governance unnecessaryD. It eliminates the need for data ingestionE. It eliminates the need to export data to third-party tools, preserving data integrity and enabling near-real-time reporting
6. Which benefit of Data Platform Gravity refers to reducing the latency between data ingestion and actionable insights?
Question 6A. Faster time-to-insightB. Vendor lock-inC. Skill set alignmentD. Cost efficiencyE. Improved data governance
7. How does Data Platform Gravity deliver cost efficiency?
Question 7A. By eliminating all staff costsB. Fewer tools mean reduced licensing costs, lower infrastructure requirements and simplified support overheadsC. By storing data only in cacheD. By charging consumers for each queryE. By outsourcing all analytics
8. What is recommended to mitigate the vendor lock-in risk of Data Platform Gravity?
Question 8A. Avoiding any single platform altogetherB. Buying the most expensive platform availableC. Choosing a platform that adheres to open standardsD. Keeping all legacy tools running in parallel indefinitelyE. Disabling data sharing with external systems
9. Which of the following is listed as a challenge of adopting Data Platform Gravity?
Question 9A. Too much cross-team collaborationB. Reduced learning curve for new usersC. Faster reportingD. Integration with legacy systemsE. Lower licensing costs
10. Which future capability of Data Platform Gravity refers to automated cleaning, enriching and governing of data using AI-driven insights?
Question 10A. Multi-cloud and hybrid supportB. Personalised user experiencesC. Skill set alignmentD. Data integration and sharingE. Autonomous data management