Q234. Triplestores can be classified into these categories:

Q235. Oversight for the DMMA process belongs to the Data Quality team.

Q236. SDLC stands for:

Q237. A goal of data governance is to enable an organisation to manage its data as a liability.

Q238. Well prepared records have characteristics such as:

Q239. A roadmap for enterprise data architecture describes the architecture’s 3 to 5-year development path. The roadmap should be guided by a data management maturity assessment.

Q240. To mitigate risks, implement a network-based audit appliance, which can address most of the weaknesses associated with the native audit tools. This kind of appliance has the following benefits:

Q241. The data-vault is an object-orientated, time-based and uniquely linked set of normalized tables that support one or more functional areas of business.

Q242. Structural Metadata describe srealtionships within and among resource and enables identification and retrieval.

Q243. Deliverables in the data management maturity assessment context diagram include:

Q244. ANSI 859 recommends taking into account the following criteria when determining which control level applies to a data asset:

Q245. When selecting a DMM framework one should consider of it is repeatable.

Q246. XML is the abbreviation for standard mark-up language.

Q247. Sample value metrics for a data governance program include:

Q248. A data dictionary is necessary to support the use of a DW.

Q249. Access to data for Multidimensional databases use a variant of SQL called MDX or Multidimensional expression.

Q250. Within projects, conceptual data modelling and logical data modelling are part of requirements planning and analysis activities, while physical data modelling is a design activity.

Q251. A Data Management Maturity Assessment (DMMA) can be used to evaluate data management overall, or it can be used to focus on a single Knowledge Area or even a single process.

Q252. Please select the four domains of enterprise architecture:

Q253. Match rules for different scenarios require different workflows, including:

Q254. Please select the transition phases in Bridges’ Transition process:

Q255. Many people assume that most data quality issues are caused by data entry errors. A more sophisticated understanding recognizes that gaps in or execution of business and technical processes cause many more problems that mis-keying.

Q256. Please select the correct definition of Data Management from the options below.