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91% Same Questions

Viewing page 7 out of 15 pages

Viewing questions 91-105 out of questions

Questions # 91:

A key feature of Bill Inmon’s approach to data warehousing is:

Options:

A tight management of data dimensions

An exclusive focus on star schemas and cubes

A normalized relational model to store and manage data

A preference for supporting operational reporting

Its ability to operate on open-source platforms

Questions # 92:

When developing a Data Governance operating framework, what areas should be considered?

Options:

Impacts of regulations, the value of data to the organization, data modelling skills, & third-party data policies

Data inputs, context diagrams, methods and procedures

Data management skills, budget considerations & organization strategy

Cultural factors, the role of a data steward, & third-party data policies

A model that documents the business, cultural factors, the impacts of regulations, and the value of data to the organization

Questions # 93:

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

Options:

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

Questions # 94:

Data Integrity includes ideas associated with completeness, accuracy, and consistency.

Options:

TRUE

FALSE

Questions # 95:

One of the first steps in a master data management program is to:

Options:

Decommission similar data collection systems

Review data security protocols

Secure funding for 20 years of operations

Build multiple data marts

Evaluate and assess data sources

Questions # 96:

Hierarchical database model is the newest database model

Options:

TRUE

FALSE

Questions # 97:

Corporate Information Factory (CIF) components include:

Options:

Data marts

Objectives

Operational Reports

Reduction of risk

Staging Area

Contributions to business objectives

Questions # 98:

The IBM Data Governance Council model is organized around four key categories. Select the answer that is not a category.

Options:

Outcomes

System Lifecycles

Enablers

Core disciplines

Supporting disciplines

Questions # 99:

The placement of Data Governance is most effective when:

Options:

It is defined by Compliance because most of what is governed is driven by regulatory and compliance issues

The Database Administrators incorporate Data Governance in their database design

It has a Data Governance manager and some data stewards

Defined at the department level at which is most important

When it is at the enterprise level so it can support all other data management initiatives that cross functional boundaries

Questions # 100:

Periodic archiving of transaction data from a production CRM system is critical for:

Options:

Training junior DBAs

Managing deleted customer records

The maintenance of database performance

Enabling the distribution of transaction data across the enterprise

Providing alternate sources for reporting systems

Questions # 101:

What is the best definition of Crowdsourced data collection?

Options:

Crowdsourcing should not be used to gather data because there will be too many opinions and not enough facts

Crowdsourcing is the process of obtaining needed data by soliciting contributions from a large group of people, and especially from an online community, rather than from traditional employees or suppliers

Crowdsourced data is the best way of finding data because so many people are contributing their definitions

Crowdsourced data is the data that comes from using a company wiki to gather data because anyone in the crowd can contribute

Crowdsourced data collection is only used by researchers to answer research, survey or feedback questions

Questions # 102:

Data and enterprise architecture deal with complexity from two viewpoints:

Options:

None of the above

Implementation-orientated

Quality-orientated

Architecture-orientated

Innovation-orientated

Industry-orientated

Questions # 103:

The accepted tenets of bioethics provide a starting point for the principles of data ethics. Which of the following tenets of bioethics is NOT included in the DMBOK2 Chapter on Data Handling Ethics?

Options:

Non-Maleficence Principle implies that the harm should not outweigh the benefit

None of these

The Justice Principle considers the fair and equitable treatment of people

The Respect for Persons Principle reflects the fundamental ethical requirement that people be treated in a way that respects their dignity and autonomy as human individuals

The Beneficence Principle has two elements: first, do no harm; second, maximize possible benefits and minimize possible harms

Questions # 104:

Reference data management entails the preventative maintenance of undefined domain values, definitions and the relationship within and across domain values.