Data Architecture — Learn free

Self-check

Questions 1–10 of 10

1. Why must one first understand the existing Enterprise Data Architecture Landscape before starting a new project?
Question 1A. Because every project must introduce at least one new toolB. Because every new project's data architecture must follow the existing landscape rather than introducing new componentsC. Because regulators require a written landscape documentD. Because the landscape defines the project budgetE. Because cloud providers require it
2. What is a 'Data Components / Tools Swamp'?
Question 2A. A data lake with no metadataB. A network with too many switchesC. An organisation accumulating many tools that offer the same functionalityD. A database with too many indexesE. A warehouse with no primary keys
3. Which three types of architecture do most organisations confuse or mix up, which is called a recipe for disaster?
Question 3A. Business, Data and Application ArchitectureB. Business, Application and Technical ArchitectureC. Data, Application and Technical ArchitectureD. Data, Semantic and Security ArchitectureE. Business, Data and Technical Architecture
4. Which two components of Enterprise Data Architecture are described as very critical?
Question 4A. Data Warehouse and Data LakeB. Enterprise Data Model and Data FlowsC. Business Glossary and Data DictionaryD. ETL and ReportingE. Backup and Disaster Recovery
5. What does an Enterprise Data Model include?
Question 5A. Only the physical tables in productionB. Only the conceptual model agreed by the boardC. The network diagram of all serversD. The list of approved software vendorsE. Conceptual, logical and physical data models with all entities, attributes, relationships and rules across the organisation
6. In the Data Flows example, which process is a Product sold by?
Question 6A. Product Development ProcessB. Manufacturing ProcessC. Human Resources ProcessD. Order Management ProcessE. Finance Process
7. Which of the following is NOT one of the listed steps for project or product Data Architecture?
Question 7A. Outline Architectural ScopeB. Business Requirement ScopeC. Design and PlanD. ImplementE. Decommission Legacy Systems
8. How does the Waterfall implementation methodology proceed?
Question 8A. Sequentially, with each phase or module dependent on the previous oneB. In parallel sprints with an object-oriented approachC. By deploying functions one at a timeD. By starting with the last phase firstE. Randomly, as resources become available
9. Which methodologies are described as inherited from Agile?
Question 9A. DevOps, DataOps and MLOpsB. Waterfall, Spiral and V-ModelC. Kimball, Inmon and Data VaultD. IaaS, PaaS and SaaSE. Lambda, Kappa and Medallion
10. Who drives Data Architecture and towards what does it work?
Question 10A. Application Architects, towards faster deploymentsB. Security Architects, towards zero trustC. Project Managers, towards on-time deliveryD. Data Architects, towards business value, compliance and an implementation process aligned with Enterprise Data ArchitectureE. Database Administrators, towards query performance