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DAMA DMF-1220 (Data Management Fundamentals) Exam is designed to test the foundational knowledge and skills required for a career in data management. DMF-1220 exam is sponsored by the Data Management Association (DAMA), which is a non-profit professional organization dedicated to advancing the field of data management. The DAMA DMF-1220 Exam is an entry-level certification that is ideal for individuals who are new to the field of data management or who are looking to validate their knowledge and skills.

NO.184 Data and text mining use a range of techniques, including:

Profiling

Application reduction

Association

Data reduction

Clustering

All of the above

NO.185 The language used in file-based solutions is called MapReduce. This language has three main steps:

Map

Shuffle

Free

Terminate

Integrate

Reduce

NO.186 Please select the two classifications of database types:

Centralized

Generic

Distributed

MapReduce

NO.187 Data Standards used by the enterprise must:

Promote consistent results but periodically reviewed and updated

Be a guideline for the organization but open to interpretation

Promote consistent results so only written once and never updated

Only be necessary for the Data Governance team

Set by an standards organization and not by the enterprise

NO.188 Organizations should evaluate several maturity assessment models for data management, and for Data Governance, before adopting one or before developing a custom maturity assessment model because:

Choosing a maturity model for an organization is expensive

Vendors may go out of business so organizations need to choose wisely

Performing an assessment without evaluating multiple models does not provide the organization with the ability to use the easiest model

Each maturity model is flawed and the organization must find the flaws and work around them

Each DMMM is based on a specific approach and needs to align with an organization’s needs

NO.189 It is unwise to implement data quality checks to ensure that the copies of the attributes are correctly stored.

FALSE

TRUE

NO.190 Orchestration is the term used to describe how multiple processes are organized and executed in a system.

TRUE

FALSE

NO.191 Operationality and interoperability depends on the data quality. In order to measure the efficiency of a repository the data quality needs to be:

Stored in a Cloud for easy access

Quantified by some type of metrics

Be certified by a Data Governance team

Have complete definitions

Verified by the organization’s legal department

NO.192 Which of the following is a core principle of any Data Governance program?

All metadata should be held in a central Metadata repository acquired for that purpose

Data should be formally owned by the IT Department, who is tasked with leading Data Governance across the organization

All information and data stored by the company should be subject to formal Data Governance

All important company data should be subject to formal business ownership and stewardship and be systematically measured and improved where necessary

Governance of corporate data held on Cloud provider platforms is the sole responsibility of the Cloud provider

A core principle of data governance is business ownership and stewardship of critical data. The DAMA- DMBOK states: “A fundamental principle of data governance is that all important company data should be subject to formal business ownership and stewardship, with systematic measurement and improvement” (DMBOK2, Chapter 3: Data Governance, p. 107). Option D is correct.
Reference:DAMA-DMBOK2, Chapter 3: Data Governance, Section 2.3, p. 107.

NO.193 Data modelling is most infrequently performed in the context of systems and maintenance efforts, known as SDLC.

TRUE

FALSE

NO.194 Which Data Architecture Artifact describes how data transforms into business assets?

Implementation Roadmap

Data Value Chain

Master Data Models

Business Value Chains

Data Flows

NO.195 Top down’ and “bottom up’ data analysis and profiling is best done in concert because:

It gets everyone involved

It balances business relevance and the actual state of the data

Data quality tools are more productive when they are effectively configured

It gives something for the architects to do while the profilers get on with thework

It allows the profiler to show the business the true state of the data

NO.196 The deliverables in the data architecture context diagram include:

Data flows

Enterprise data

Implementation roadmap

Data Value Chains

None of the above

All of the above

NO.197 Reference and Master data definition: Managing shared data to meet organizational goals, reduce risks associated with data redundancy, ensure higher quality, and reduce the costs of data integration.

TRUE

FALSE

NO.198 Validity, as a dimension of data quality, refers to whether data values are consistent with a defined domain of values.

TRUE

FALSE

NO.199 Data governance requires control mechanisms and procedures for, but not limited to, identifying, capturing, logging and updating actions.

FALSE

TRUE

NO.200 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

TRUE

FALSE

NO.201 Data parsing is the process of analysing data using pre-determined rules to define its content or value.

FALSE

TRUE

NO.202 SPARC published their three-schema approach to database management. The three key components were:

Internal

Logical

Generic

Conceptual

External

NO.203 The disclosure of sensitive addresses may occur through:

Inappropriate use of photocopier toner

Cloud-based databases

Software ignoring privacy tags on the data

Ineffective implementation of data architecture

Stored procedures being called directly

Sensitive data, such as addresses, can be disclosed if software fails to enforce privacy tags or metadata that indicate data sensitivity. The DAMA-DMBOK emphasizes that data security involves “protecting data from unauthorized access or disclosure through controls such as access policies, encryption, and metadata-driven privacy enforcement” (DMBOK2, Chapter 8: Data Security, p. 297). Privacy tags are metadata attributes that signal how data should be handled, and software ignoring these tags can lead to unauthorized exposure.
Options A, B, D, and E are less directly related. For example, inappropriate use of photocopier toner (A) is unrelated to data security in this context, and cloud-based databases (B) are a platform, not a direct cause of disclosure unless misconfigured. Ineffective data architecture (D) or stored procedures (E) may contribute indirectly but are not as specific as software ignoring privacy tags.
Reference:DAMA-DMBOK2, Chapter 8: Data Security, Section 3.2, p. 297.

NO.204 Where is the best place to find the following metadata: database table names, column names and indexes?

Logical data model

Security access authorisation

Database catalogue

Enterprise data model

Detailed business processes

NO.205 Enterprise data architecture description must include both [1] as well as [2]

[1] Data Flow Design [2] Data Context Diagram

[1] Enterprise Data Model [2] Architecture Diagram

[1] Enterprise Data Model [2] Data Flow Design

[1] Enterprise Data Model [2] Data Context Diagram

NO.206 Which of the following is not a step in the ‘document and content management lifecycle’?

Capture records and content

Manage versions and control

Audit documents and records

Create a content strategy

Manage retention and disposal

Loading …

The DMF-1220 exam is recognized globally and is administered by the Data Management Association International (DAMA). DAMA is a not-for-profit professional organization that promotes the development and advancement of data management practices and standards. The DMF-1220 exam is part of the DAMA International Certification Program, which includes other exams such as the CDMP (Certified Data Management Professional) and the DMBOK (Data Management Body of Knowledge).

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