DMF-1220 Exam Questions
485 real DMF-1220 exam questions with expert-verified answers and explanations. Page 5 of 10.
- Question #201
Please select the incorrect item that does not represent a dimension in the Data Values category in Data Quality for the Information age.
- Question #202
The accuracy dimension of data quality refers to the degree that data correctly respresents `real- life' entities.
- Question #203
What ISO standard defines characteristics that can be tested by any organisation in the data supply chain to objectively determine conformance of the data to this ISO standard.
- Question #204
The accuracy dimension has to do with the precision of data values.
- Question #205
Data Integrity includes ideas associated with completeness, accuracy, and consistency.
- Question #206
Validity, as a dimension of data quality, refers to whether data values are consistent with a defined domain of values.
- Question #207
Dimensions of data quality include:
- Question #208
ISO 8000 will describe the structure and the organization of data quality management, including:
- Question #209
Some common data quality business rule types are:
- Question #210
The Shewhart chart contains the following elements:
- Question #211
Issues caused by data entry processes include:
- Question #212
Data quality issues only emerge at initial stages of the data lifecycle.
- Question #213
Input in the Big Data and data science context diagram include:
- Question #214
Data science involves the iterative inclusion of data sources into models that develop insights. Dat science depends on:
- Question #215
The language used in file-based solutions is called MapReduce. This language has three main steps:
- Question #216
MPP is an abbreviation for Major Parallel Processing.
- Question #217
Traditional tool sin data visualtization have both a data and a graphical component. Advanced visualization and discovery tools use in-memory architecture to allow users to interac...
- Question #218
Analytics models are associated with different depths of analysis, including:
- Question #219
Modeling Bid data is a non-technical challenge but critical if an organization that want to describe and govern its data.
- Question #220
Business people must be fully engaged in order to realize benefits from the advanced analytics.
- Question #221
CMA is an abbreviation for Capability Maturity Assessment.
- Question #222
Organizations conduct capability maturity assessments for a number of reasons, including:
- Question #223
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.
- Question #224
Deliverables in the data management maturity assessment context diagram include:
- Question #225
The primary goal of data management capability assessment is to evaluate the current state of critical data management activities in order to plan for improvement.
- Question #226
Decentralized informality can be made more formal through a documented series of connections and accountabilities via a RACI matrix.
- Question #227
Data management organizational constructs include the following type of model.
- Question #228
Factors that have shown to play a key role in the success in the success of effective data management organizations does not include:
- Question #229
Communication should start later in the process as too many inputs will distort the vision.
- Question #230
Disciplines within the enterprise architecture practice does not include:
- Question #231
Data quality management is a key capability of a data management practice and organization.
- Question #232
Data modeller: responsible for fata model version control an change control
- Question #233
Data architect: A senior analyst responsible for data architecture and data integration.
- Question #234
The neutral zone is one of the phases in the Bridges' transition phases.
- Question #235
Data management professionals who understand formal change management will be more successful in bringing about changes that will help their organizations get more value from their...
- Question #236
Change only requires change agents in special circumstances, especially when there is little to no adoption.
- Question #237
Please select the transition phases in Bridges' Transition process:
- Question #238
As part of its transformation, the organization must identify and respond to different kinds of roadblocks. Please select the answer that is not a roadblock:
- Question #239
Data lineage is useful to the development of the data governance strategy.
- Question #240
There are several reasons to denormalize dat
- Question #241
Valuation information, as an example of data enrichment, is for asset valuation, inventory and sale.
- Question #242
Effective data management involves a set of complex, interrelated processes that disable an organization to use its data to achieve strategic goals.
- Question #243
In gathering requirements for DW/BI projects, begin with the data goals and strategies first.
- Question #244
Temporal aspects usually include:
- Question #245
Hierarchical database model is the newest database model
- Question #246
Normalisation is the process of applying rules in order to organise business complexity into stable data structures.
- Question #247
Security Risks include elements that can compromise a network and/or database.
- Question #248
JSON is an open, lightweight standard format for data interchange.
- Question #249
Data quality rules and standards are a critical form of Metadat
- Question #250
Poorly managed metadata leads to: