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DMF-1220 Practice Questions

Data Management Fundamentals

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Total Questions : 725

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Question # 151

Data integrity is the state of being partitioned – protected from being whole.

Options:

A.  

TRUE

B.  

FALSE

Discussion 0
Question # 152

Validity, as a dimension of data quality, refers to whether data values are consistent with a defined domain of values.

Options:

A.  

TRUE

B.  

FALSE

Discussion 0
Question # 153

Misleading visualisations could be an example where a base level of truthfulness and transparency are not adhered to.

Options:

A.  

TRUE

B.  

FALSE

Discussion 0
Question # 154

The standard for a strong password is set by the:

Options:

A.  

Data security standard

B.  

Data access standard

C.  

Identity management standard

D.  

Data modelling standard

E.  

Data naming standard

Discussion 0
Question # 155

Options:

A.  

FALSE

B.  

TRUE

Discussion 0
Question # 156

Examples of the ‘Who’ entity category include: employee; patient; player; and suspect.

Options:

A.  

TRUE

B.  

FALSE

Discussion 0
Question # 157

A deliverable in the data modelling and design context diagram is the logical data model.

Options:

A.  

TRUE

B.  

FALSE

Discussion 0
Question # 158

There are several reasons to denormalize data. The first is to improve performance by:

Options:

A.  

Creating smaller copies of fata to reduce costly run-time calculations and/or table scans of large tables.

B.  

None of the above

C.  

Pre-calculating and sorting costly data calculations to avoid runt-time system resource competition.

D.  

Making tables more readable when no foreign key exists

E.  

Combining data from multiple other tables in advance to avoid costly run-time joins

F.  

All of the above

Discussion 0
Question # 159

Business Intelligence tool types include:

Options:

A.  

Technology reporting

B.  

Operational reporting

C.  

Descriptive, self-service analytics

D.  

Operations performance management (OPM)

E.  

Business performance management (BPM)

F.  

Predictive, self-service analytics

Discussion 0
Question # 160

Examples of transformation in the ETL process onclude:

Options:

A.  

De-duping

B.  

Structure changes

C.  

Hierarchical changes

D.  

Re-ordering

E.  

Semantic conversions

F.  

None of the above

Discussion 0
Question # 161

Data governance requires control mechanisms and procedures for, but not limited to, identifying, capturing, logging and updating actions.

Options:

A.  

FALSE

B.  

TRUE

Discussion 0
Question # 162

Volume refers to the amount of data. Big Data often has thousands of entities or elements in billions of records.

Options:

A.  

TRUE

B.  

FALSE

Discussion 0
Question # 163

While the focus of data quality improvement efforts is often on the prevention of errors, data quality can also be improved through some forms of data processing.

Options:

A.  

TRUE

B.  

FALSE

Discussion 0
Question # 164

The accuracy dimension has to do with the precision of data values.

Options:

A.  

TRUE

B.  

FALSE

Discussion 0
Question # 165

The main difference between a System of Record and a System of Reference is:

Options:

A.  

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

B.  

The data does not originate in the system of reference

C.  

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

D.  

They are the same thing

E.  

The data does not originate in the system of record

Discussion 0
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