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Viewing page 15 out of 15 pages
Viewing questions 211-225 out of questions
Questions # 211:

Primary deliverables of the Data Warehouse and Business Intelligence context diagram include:

Options:

A.

Data Products

B.

Data Stewardship

C.

Governance Activities

D.

Release Plan

E.

Load Tuning Activities

F.

BI Activity Monitoring

Expert Solution
Questions # 212:

Metrics tied to Reference and Master Data Quality include:

Options:

A.

Addressing all queries

B.

Data steward coverage

C.

Implementing data management training

D.

Data sharing volume and usage

E.

Data ingestion and consumption

F.

Service level agreements

Expert Solution
Questions # 213:

In the Abate Information Triangle the past moves through the following echelons befor it comes insight:

Options:

A.

Data

B.

Information

C.

Transactions

D.

Knowledge

E.

Big data

F.

Time

Expert Solution
Questions # 214:

Which of the following are must-do for any successful Data Governance programme?

Options:

A.

Create a communications plan to inform to all stakeholders what you are doing.

B.

Ensure there is a Data Governance Policy with which everyone in the organization is required to comply.

C.

Create a training programme for all for data owners and data stewards.

D.

Set up a wiki for incorrect data definitions.

E.

Allocate Data Ownership responsibilities according to their role in the organization.

Expert Solution
Questions # 215:

ETL is the basic process which is central to all areas in Data Integration and Interoperability. It is an abbreviation for extract, transition and load.

Options:

A.

TRUE

B.

FALSE

Expert Solution
Questions # 216:

Value is the difference between the cost of a thing and the benefit derived from that thing.

Options:

A.

TRUE

B.

FALSE

Expert Solution
Questions # 217:

An Operational Data Mart is a data mart focused on tactical decision support.

Options:

A.

TRUE

B.

FALSE

Expert Solution
Questions # 218:

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

Options:

A.

A tight management of data dimensions

B.

An exclusive focus on star schemas and cubes

C.

A normalized relational model to store and manage data

D.

A preference for supporting operational reporting

E.

Its ability to operate on open-source platforms

Expert Solution
Questions # 219:

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

Options:

A.

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

B.

Data inputs, context diagrams, methods and procedures

C.

Data management skills, budget considerations & organization strategy

D.

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

E.

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

Expert Solution
Questions # 220:

Please select the incorrect item that does not represent a dimension in the Data Values category in Data Quality for the Information age.

Options:

A.

Currency

B.

Timeliness

C.

Consistency

D.

Completeness

Expert Solution
Questions # 221:

Adoption of a Data Governance program is most likely to succeed:

Options:

A.

When the CDO is a charismatic leader

B.

In 1 or 2 months with a large consulting team

C.

When the entire enterprise is partaking at once

D.

When dictated by senior executives

E.

With an incremental rollout strategy

Expert Solution
Questions # 222:

In a SQL injection attack, a perpetrator inserts authorized database statements into a vulnerable SQL data channel, such as a stored procedure.

Options:

A.

FALSE

B.

TRUE

Expert Solution
Questions # 223:

When assessing security risks it is required to evaluate each system for the following:

Options:

A.

The current security protections in place

B.

The requirements to protect the data

C.

None of the above

D.

All of the above

E.

The complexity of the data stored or in transit

F.

The sensitivity of the data stored or in transit

Expert Solution
Questions # 224:

Do experts feel a Data Lake needs data management?

Options:

A.

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

B.

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

C.

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

D.

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

E.

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

Expert Solution
Questions # 225:

The Data Model Scorecard provides 10 data model quality metrics

Options:

A.

TRUE

B.

FALSE

Expert Solution
Viewing page 15 out of 15 pages
Viewing questions 211-225 out of questions