Achieve the DMF-1220 Exam Best Results with Help from DAMA Certified Experts [Q328-Q344]

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Achieve the DMF-1220 Exam Best Results with Help from DAMA Certified Experts

Provide DMF-1220 Practice Test Engine for Preparation

Q328. To become data-centric, organizations need to think differently. They need to recognize:

That managing data is the same as delivering reporting

That managing data is different from managing IT

That managing data is the same as making better business decisions

That managing data is the same as managing finance

That managing data is the same as managing IT

Data-centric organizations distinguish data management from IT management. The DAMA-DMBOK states:
“A data-centric organization recognizes that managing data is distinct from managing IT, focusing on data as a strategic asset separate from technology infrastructure” (DMBOK2, Chapter 1: Data Management, p. 17).
Option B is correct.
Reference:DAMA-DMBOK2, Chapter 1: Data Management, Section 2.1, p. 17.

Q329. Practitioners identify development of staff capability to be a primary concern of Data Governance. Why would this be a main concern?

Because we need to develop the next generation of Chief Data Officers

Because it is important to have senior people, in order to dictate that the policy will be followed

Because organizations expect quick results

Because it is important to train staff to ensure application of appropriate methods

Because it is a recognized benchmark standard

Q330. Effectiveness metrics for a data governance programme includes: achievement of goals and objectives; extend stewards are using the relevant tools; effectiveness of communication; and effectiveness of education.

FALSE

RRUE

Q331. Identify indicative components of a Data Strategy.

Vision, case studies, succession plans, functional requirements

Vision, data invoice, payment receipts, confirmations

Vision, business surveys, employee performance goals

Vision, business case, data models, employee goals

Vision, business case, principles, goals, and measures

Q332. Hierarchical database model is the newest database model

TRUE

FALSE

Q333. Data can be assessed based on whether it is required by:

Regulatory reporting

Capturing policy

Ongoing operations

Provide the starting point for customizations, integration or even replacement of an application

Business policy

Make the integration between data management and data analytics possible

Q334. The most important reason to implement operational data quality measurements is to inform data consumers about levels of data effectiveness.

FALSE

TRUE

Q335. What types of data are considered Technical Data?

Data standards; ETL job details; source-to-target mappings

Valid value constraints; File format schemas; data models; data access rights

Attributes that are only used for status reporting; data quality rules; data usage, database table names

Physical database and column names; ETL job details; recovery and backup rules; data access rights

Physical data models; calculations and algorithms; program and application names

Q336. Organizations are legally required to protect privacy by identifying and protecting sensitive data. Who usually identifies the confidentiality schemes and identify which assets are confidential or restricted?

Data Security

Record Retention Department

Data Owners

Regulations/Laws

Business Analysts

Q337. Enterprise data architecture influences the scope boundaries of project and system releases. An example of influence is data replication control.

FALSE

TRUE

Q338. What business function is best aligned to deliver oversight to data architecture ?

Data Govemance

Business Innovation

Business Integration

Chief Technology Office

Enterprise Architecture

Q339. A general principle for managing metadata includes Responsibility.

FALSE

TRUE

Q340. Data and text mining use a range of techniques, including:

Profiling

Application reduction

Association

Data reduction

Clustering

All of the above

Q341. The DMBOK support’s DAMA’s mission by:

Establish a common vocabulary

Guides IT personnel to improve data management

Serving as the fundamental reference guide

roviding a functional framework

Q342. What are the three characteristics of effective Data Governance communication?

It must be clear, unambiguous, and consistent

It must be consistent, unambiguous, engaging

It must be viral, vital, and have volume

It must be colorful, engaging, using multi-media

It must be clear, structured, repetitive

Q343. To build models, data modellers heavily rely on previous analysis and modelling work.

FALSE

TRUE

Q344. If the target system has more transformation capability than either the source or the intermediary application system, the order of processes may be switched to ELT – Extract Load Tranform.

TRUE

FALSE

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