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DAMA
CDMP
DMF-1220
Data Management Fundamentals Questions and Answers

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Viewing page 13 out of 15 pages

Viewing questions 181-195 out of questions

Questions # 181:

A primary business driver of data storage and operations is:

Options:

Business data modelling

Business rules

Business continuity

Hardware sales

Business process optimization

Answer

Questions # 182:

A goal of metadata management is to manage data related business terminology in

order toc

Options:

Successfully size the database

Ensure accurate data requirements are gathered for reporting

Ensure people understand data content and can use data consistently

Ensure people understand data definition in Bl systems

Ensure the business processes align to the data model

Answer

Questions # 183:

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.

Options:

FALSE

RRUE

Answer

Questions # 184:

Examples of concepts that can be standardized within the data quality knowledge area include:

Options:

Standard measurement methodologies

Data security standards

Data remediation standards and procedures

None of the above

Data quality rules

Answer

A, C, F

Questions # 185:

Do experts feel a Data Lake needs data management?

Options:

No, metadata might keep sensitive data out of the data lake, and analysts need all the data

Yes, metadata in a data lake prevents synchronization issues by providing both current state and history

Yes, metadata creates an inventory of the data as it is ingested into the data lake

No, a data lake should contain all the data whether it is inconsistent or not, otherwise data scientists don’t have full insight into the data

No, a data lake should ingest streaming data without any restrictions

Answer

Explanation

Data lakes require data management, particularly metadata, to ensure usability. The DAMA-DMBOK states: “Data lakes need data management, including metadata to create an inventory of ingested data, enabling discovery, governance, and quality control” (DMBOK2, Chapter 4: Data Architecture, p. 161). Option C aligns with this. Options A, D, and E dismiss the need for management, and B is inaccurate about synchronization.

[Reference:DAMA-DMBOK2, Chapter 4: Data Architecture, Section 5.3, p. 161., ]

Questions # 186:

The term data quality refers to only the characteristics associated with high quality data.

Options:

TRUE

FALSE

Answer

Questions # 187:

A security mechanism that searches for customer bank account details in outgoing

emails is achieving the goal of:

Options:

Ensuring stakeholder requirements for concise definitions and usage are met

Ensuring stakeholder requirements for confidentiality and privacy are met

Ensuring stakeholder requirements for openness and transparency are met

Ensuring stakeholder requirements for response time and availability levels aremet

Ensuring stakeholder requirements for service design and experience are met

Answer

Questions # 188:

Data profiling is a form of data analysis used to inspect data and assess quality.

Options:

TRUE

FALSE

Answer

Questions # 189:

What are some of the business drivers for the ethical handling of data that Data Governance should satisfy?

Options:

Develop Employee Awareness of the organizational risks on unethical data handling

All of these

Define what ethical handling of data means to the organization

Achieve the preferred culture and actions in handling data

Monitor, Measure and adjust the organizations approach to data ethics

Answer

Questions # 190:

Integration of ETL data flows will usually be developed within tools specialised to manage those flows in a proprietary way.

Options:

TRUE

FALSE

Answer

Questions # 191:

A ‘Content Distribution Network’ supporting a multi-national website is likely to use:

Options:

An extract, transform, and load solution

An archiving solution

A replication solution

A database backup and restore solution

A records disposal solution

Answer

Explanation

A Content Distribution Network (CDN) uses replication to distribute content across servers for faster access. The DAMA-DMBOK states: “CDNs rely on data replication to distribute content to edge servers, ensuring low latency and high availability for global users” (DMBOK2, Chapter 13: Data Integration and Interoperability, p. 519).

Options A, B, D, and E are unrelated: ETL (A) is for integration, archiving (B) and disposal (E) are lifecycle tasks, and backups (D) are for recovery.

[Reference:DAMA-DMBOK2, Chapter 13: Data Integration and Interoperability, Section 4.2, p. 519., ]

Questions # 192:

The search function associated with a document management store is failing to return known artefacts. This is due to a failure of:

Options:

Effective data quality metrics

Business intelligence implementation

Maintaining public access to all documents in the document management store

Maintaining appropriate metadata on each document

Data privacy and confidentiality procedures

Answer

Explanation

A document management system relies on metadata to enable effective search and retrieval of documents. If the search function fails to return known artefacts, it indicates a failure in maintaining appropriate metadata, such as tags, descriptions, or indexing attributes. The DAMA-DMBOK states: “Metadata is critical for enabling findability, accessibility, and usability of data assets. In document management systems, metadata such as document titles, keywords, or categories must be consistently maintained to support search functionality” (DMBOK2, Chapter 11: Metadata Management, p. 441).

Other options are less relevant: data quality metrics (A) focus on data accuracy, not search functionality; business intelligence (B) relates to analytics, not document retrieval; public access (C) is unrelated to search failures; and privacy procedures (E) address security, not search performance.

[Reference:DAMA-DMBOK2, Chapter 11: Metadata Management, Section 3.1, p. 441., ]

Questions # 193:

Reduced risk is a benefit of high quality data.