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NEW QUESTION # 163
Data parsing is the process of analysing data using pre-determined rules to define its content or value.
- A. TRUE
- B. FALSE
Answer: A
NEW QUESTION # 164
Lack of automated monitoring represents serious risks, including compliance risk.
- A. TRUE
- B. FALSE
Answer: B
NEW QUESTION # 165
The purpose of data governance is to ensure that data is managed properly, according to policies and best practices. Data governance is focused on how decisions are made about data and how people and processes are expected to behave in relation to data.
- A. TRUE
- B. FALSE
Answer: A
NEW QUESTION # 166
Please select the answers that correctly describes the set of principles that recognizes salient features of data management and guide data management practice.
- A. Effective data management requires leadership commitment.
- B. It takes Metadata to manage data.
- C. Data is an asset with unique properties.
- D. Data management is lifecycle management.
- E. Efficient data management requires a team of IT professionals only.
- F. The most important part of data management is security.
Answer: B,C,D,F
NEW QUESTION # 167
The DMBOK support's DAMA's mission by:
- A. Guides IT personnel to improve data management
- B. Establish a common vocabulary
- C. roviding a functional framework
- D. Serving as the fundamental reference guide
Answer: B,C,D
NEW QUESTION # 168
Examples of business processes when constructing data flow diagrams include:
- A. Sales order
- B. Customer
- C. Marketing & Sales
- D. Product Development
- E. Invoicing
- F. Order Management
Answer: C,D,E,F
NEW QUESTION # 169
SSD is the abbreviation for Solid State Dimension.
- A. TRUE
- B. FALSE
Answer: B
NEW QUESTION # 170
Temporal aspects usually include:
- A. Transmitting time
- B. Valid time
- C. Value time
- D. Transaction time
Answer: B,D
NEW QUESTION # 171
Snowflaking is the term given to normalizing the flat, single-table, dimensional structure in a star schema into the respective component hierarchical or network structures.
- A. TRUE
- B. FALSE
Answer: A
NEW QUESTION # 172
The roles associated with enterprise data architecture are data architect, data modellers and data stewards.
- A. TRUE
- B. FALSE
Answer: A
NEW QUESTION # 173
Data mining is a sub-field of supervised learning where users attempt to model data elements and predict future outcomes through the evaluation of probability estimates.
- A. TRUE
- B. FALSE
Answer: B
NEW QUESTION # 174
Product Master data can only focus on an organization's internal product and services.
- A. TRUE
- B. FALSE
Answer: B
NEW QUESTION # 175
Operational Metadata describes details of the processing and accessing of dat a. Which one is not an example:
- A. Failure logs
- B. Purge criteria
- C. Schedule anomalies
- D. Error logs
Answer: A
NEW QUESTION # 176
Please select valid modelling schemes or notations
- A. Relational
- B. Matrix-based
- C. Dimensional
- D. NoSQL
- E. Fact-based
- F. Object-orientated
Answer: A,C,D,E,F
NEW QUESTION # 177
CIF stands for:
- A. Corporate Information Floor
- B. Company Information Factory
- C. Corporate Information Factories
- D. Corporate Information Factory
Answer: D
NEW QUESTION # 178
Instant Messaging (IM) allows a user to message each other in real-time.
- A. TRUE
- B. FALSE
Answer: A
NEW QUESTION # 179
Enterprise data architecture description must include both [1] as well as [2]
- A. [1] Enterprise Data Model [2] Data Context Diagram
- B. [1] Enterprise Data Model [2] Architecture Diagram
- C. [1] Enterprise Data Model [2] Data Flow Design
- D. [1] Data Flow Design [2] Data Context Diagram
Answer: C
NEW QUESTION # 180
Data asset valuation is the process of understanding and calculating the economic value of data to an organisation. Value comes when the economic benefit of using data outweighs the costs of acquiring and storing it, as
- A. TRUE
- B. FALSE
Answer: A
NEW QUESTION # 181
A data governance strategy defines the scope and approach to governance efforts. Deliverables include:
- A. Operating framework and accountabilities
- B. Implementation roadmap
- C. All of the above
- D. Charter
- E. None of the above
- F. Plan for operational success
Answer: C
NEW QUESTION # 182
A data dictionary is necessary to support the use of a DW.
- A. TRUE
- B. FALSE
Answer: A
NEW QUESTION # 183
MPP is an abbreviation for Major Parallel Processing.
- A. TRUE
- B. FALSE
Answer: B
NEW QUESTION # 184
Databases are categorized in three general ways:
- A. Relational
- B. Hierarchical
- C. Accessible
- D. Warped
- E. None of the above
- F. Non-relational
Answer: A,B,F
NEW QUESTION # 185
Data science merges data mining, statistical analysis, and machine learning with the integration and data modelling capabilities, to build predictive models that explore data content patterns.
- A. TRUE
- B. FALSE
Answer: A
NEW QUESTION # 186
Reference data management entails the preventative maintenance of undefined domain values, definitions and the relationship within and across domain values.
- A. TRUE
- B. FALSE
Answer: B
NEW QUESTION # 187
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Data Management Fundamentals is a crucial aspect of any organization dealing with data. It involves the creation, maintenance, and usage of data resources in an efficient and effective manner. To validate the proficiency of professionals in this area, the Data Management Association (DAMA) has introduced the DAMA DMF-1220: Data Management Fundamentals Exam.
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