Free DAMA DMF-1220 Practice Exam with Questions & Answers | Set: 7

Data Quality

Data Warehousing and Business Intelligence

Data Storage and Operations

Metadata Management

Data Security

Data collected with bias to prove a pre-conceived idea is correct

Leaving out required context in a report resulting in ambiguity and assumptions being made about the data points

Omission or inclusion of certain data points in a report or activity based on timing

Providing transparency on the sources, uses, and intent of the data used in a report

Leaving out the relationship between data points in a chart

Metadata insecurity

Managing data quality

Reducing risk

Managing the costs of data integration

Meeting organizational data requirements

Reducing latency

Sanctioned rules

Archive Rules

Business Rules

Database Type

Data Length

The current security protections in place

The requirements to protect the data

None of the above

All of the above

The complexity of the data stored or in transit

The sensitivity of the data stored or in transit

A system of reference is the source of transaction data; the system of record is the source of master data

The data does not originate in the system of reference

A system of record is the source of master data; a system of reference is the source of reference data

They are the same thing

The data does not originate in the system of record

Implementing data management training

Monitoring the resistance

Promoting the value of data assets

Addressing all queries

Implementing new metric and KPIs

Each division of an enterprise may have its own way to describe its business and associated metrics

There is disagreement among divisions on the meaning of key metrics

There is typically significant waste in an enterprise through duplication of reports and metrics

Increasing regulation in industry can impose real penalties in terms of substantial fines or jail terms for non-compliance to properly managed data (e.g. accurate reporting/accounting)

I've been to a conference and found that lots of our competitors are doing it

Automated correction algorithms capable of detecting and correcting errors

Train data producers

Institute formal data change control

Establish data entry controls

Implement data governance and stewardship

Lack of results gathered can indicate a lack of assessment performance

The assessments are done by different teams within the organization and may have different results

Interpreting these results is difficult

Data Management and Data Governance results are gathered and interpreted differently, depending on the organization being evaluated

Performing these activities objectively can ensure the success of the assessment and affect the acceptance and implementation of the data management and/or Data Governance program

Difficulties in unique dimensions

Difficulties in unique identification

Reference data anomaly detection

The number of data sources and the differences between them

Metadata Management

Business Architecture

Content and Document Management

Data Governance

Data Security

TRUE

FALSE

a patch in a system that allows it to be successfully unpatched and compromised.

being highly data risk rated

a strength in a system that allows external stakeholders to view data records.

a weakness or defect in a system that allows it to be successfully attacked and compromised.

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