Data Strategy vsData Implementation — Learn free

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Questions 1–10 of 10

1. Which statement best describes a data strategy?
Question 1A. The hands-on execution of ETL jobs and database deploymentsB. The overarching plan and vision an organisation establishes to manage, govern and leverage its data assetsC. A short-term schedule for migrating data between serversD. A catalogue of every table and column in the data warehouseE. A set of business intelligence dashboards built for executives
2. Which of the following is a key component of data implementation rather than data strategy?
Question 2A. Vision and objectivesB. Governance frameworkC. Technology roadmapD. ETL (Extract, Transform, Load)E. Data quality standards
3. In the comparison of data strategy with data implementation, how do their timeframes differ?
Question 3A. Both are long-term activities concerned with sustained valueB. Data strategy is long-term, while data implementation involves short to medium-term activitiesC. Data strategy is short-term, while data implementation spans decadesD. Neither has a defined timeframeE. Both are limited to a single project cycle
4. Which key component of a data strategy defines how data is created, stored, used and retired over time?
Question 4A. Data lifecycle managementB. Data warehousingC. Business intelligenceD. Database design and managementE. Data integration
5. A team is deploying a data warehouse for centralised storage and building BI dashboards to visualise the results. Which activity does this represent?
Question 5A. Defining a technology roadmapB. Setting data quality standardsC. Data implementationD. Establishing a governance frameworkE. Articulating the data vision and objectives
6. Which of these is NOT listed as a key component of data implementation?
Question 6A. Data security and complianceB. Data integrationC. Business intelligenceD. Data warehousingE. Vision and objectives
7. How do data strategy and data implementation differ in their level of detail?
Question 7A. Both are equally detailed and specificB. Data strategy is detailed and specific, while data implementation is abstractC. Data strategy is abstract and high-level, while data implementation is detailed and specificD. Neither addresses detail; that is left to project managementE. Data implementation defines principles, while data strategy designs systems
8. What does the data strategy component 'technology roadmap' outline?
Question 8A. The step-by-step configuration of each database serverB. The technologies and infrastructure needed to support data initiativesC. The security patches applied to data systems each quarterD. The visualisation templates used in BI reportsE. The schedule for retiring individual data records
9. Which pairing correctly matches focus to discipline?
Question 9A. Data strategy focuses on system deployment; data implementation focuses on business objectivesB. Data strategy focuses on business objectives, governance and strategic use of data; data implementation focuses on technical aspects and system deploymentC. Both focus exclusively on technical aspectsD. Data strategy focuses on ETL; data implementation focuses on visionE. Both focus exclusively on governance policy
10. A company writes policies and procedures for managing and securing its data and sets guidelines for the accuracy, completeness and reliability of that data. Which two data strategy components are being addressed?
Question 10A. Governance framework and data quality standardsB. Database design and ETLC. Data warehousing and BID. Data integration and data securityE. Technology roadmap and data lifecycle management