Which are true in regards to auto mapping when importing assets?

Auto-mapping is not required for importing assets

Auto-mapping only occurs if the column names in the spreadsheet match the Collibra Platform's expected names

Auto-mapping only occurs if a view was created previously

If the following Validation Rule is assigned to Business Terms, what would cause for a Business Term to be invalid?

Business Term is missing a definition

Business Term is invalid due to its articulation score

Business Term does not have a "has code" relation

Which of the following is a benefit of editing a diagram view configuration?

The ability to orient relations in whichever direction you please (as long as they exist)

Configured diagrams update when relations that are configured to be displayed are added to the diagram view

You may reuse the diagram configuration when looking at any asset

Where can an item-based workflow be initiated from?

A traceability diagram displaying the asset

In order to show a relation within an asset table as an expandable/collapsable row, you first must configure:

A hierarchy referencing the relation

With a configured workflow, a Report Certification process can automatically check for what types of criteria?

Roles and responsibilities have been assigned

The Report has relations with necessary assets

The Report has an Accepted status

The Report has a certain rating

Scanning for personal information (PI) will help you:

Confirm you’re not storing PI which is not critical to your business process

Ensure the PI has sufficient level of security

Using traceability, the Report Business Data Lineage provides the following the information

Critical data element or report attributes

Which of the following is not one of the six dimensions of data quality

Accountability: Represents the monitoring required of cleansed attributes

Completeness: Represents the extent to which data is not missing

Validity: Provides the information on the extent to which data conforms to a predefined standard or format

Integrity: Represents the extent to which data is not missing the key relationship linkages

When editing dashboard settings, changing an asset type icons requires that you:

Alter the Data Governance Center Settings

Request a specific instance of the DGC from Collibra

When working to discover personal information, the data governance team will

Mark individual tables or columns containing PI

Map the data classification PI policies to the data layer

Categorize the sensitivity of the PI data

Determine what data categories are considered PI

When designing a dashboard, adding the same widget a second time will cause the dashboard to

Add a second instance of that widget

Prevent you from adding the second instance of that widget

Remove the first instance of that widget

Remove both the first and second instance of that widget

To add a relationship between data quality rule and a data quality dimension, follow the next steps:

Connect the relationship by choosing Classifies

Add a new relationship between the data quality rule and classified by data quality dimension

Go to Settings > characteristics, to reivew the attributes and type of attribute

Create a rule book to store all the data quality rules applicable for the select community

Complete the following steps to create the configuration of data quality rules for a business term, for a table and for a column:

Access the data quality rulebook

Add characteristics for each of the data quality rules

Link the data quality rule to the asset type

Create a relationship between that data quality rule and between the asset type

Data quality dashboards provide access to the following:

Accountability to the business owner and the data owner

Reviewing the current state of the data quality for a business term accumulated from different columns that are present in different tables and schema

A method for business owners to look at their business terms and review the quality and how it has evolved over time

Reviewing the current state of the data quality for a business term in a single column only

Which of the following statements are true?

Data quality rule: Represents the specification that describe the actions to be performed to measure the quality of data.

Aggregation paths: Consist of a chain of relations that is to be followed from the asset to which the data quality rule is assigned to the asset containing actual values.

Data quality metric: An asset that stores the data quality results after application of data quality rules on data assets. It is usually imported in Collibra from an external data quality software product.

Validity: The extent of which distinct data instances provide non-conflicting information about the same underlying data object.

Data quality dashboards can enable representation of the following:

The data quality rules applied to an asset

Quality scores for each of the applied data quality rules

What are the benefits of data quality dashboards in Collibra?

Insight to the current and past states of the data quality

Accountability of the data owner and stakeholders to make sure all data is compliant

Assistance in monitoring cleansed attributes

Increased trust in the accuracy of data

Which of the following is not one of the six dimensions of data quality?

Accountability: Represents the monitoring required of cleansed attributes

Completeness: Represents the extent to which data is not missing

Integrity: Represents the extent to which data is not missing the key relationship linkages

Validity: Provides the information on the extent to which data conforms to a predefined standard or format

Which of the following statements are true?

Data quality rule: Represents the specification that describe the actions to be performed to measure the quality of data.

Validity: The extent of which distinct data instances provide non-conflicting information about the same underlying data object.

Aggregation paths: Consist of a chain of relations that is to be followed from the asset to which the data quality rule is assigned to the asset containing actual values.

Data quality metric: An asset that stores the data quality results after application of data quality rules on data assets. It is usually imported in Collibra from an external data quality software product.

When working to discover personal information, the data governance team will:

Map the data classification PI policies to the data layer

Mark individual tables or columns containing PI

Categorize the sensitivity of the PI data

Determine what data categories are considered PI

Collibra Data Steward Certification

Authored by Kelly Galvin

Professional Development

Used 135+ times

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94 questions

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MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In what domain type can Lines of Business assets be created in?

Data Asset Domain

Business Dimensions

Policy Domain

Technology Asset Domain

Business Asset Domain

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is / are the top-level community(ies) in the organization image below?

ZZ Customer Success

Data Quality Rule Book

ZZ IT Operations

Validation Rules

ZZ Enterprise Community

MULTIPLE SELECT QUESTION

45 sec • 1 pt

What is / are the sub-communities contained within the top-level community?

ZZ Manufacturing

ZZ IT Operations

ZZ Customer Success

Data Quality Rule Book

Validation Rules

MULTIPLE SELECT QUESTION

45 sec • 1 pt

What is / are the domains contained within the top-level community?

ZZ Customer Success

Data Quality Rule Book

Customer Glossary

Policy Domain

ZZ IT Operations

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

After adding a synonym relation from Client to the Business Term, Party, we must go to the Business Term, Party, and add that it is also a synonym to Client.

True

False

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which is a better description of a Data Element, as opposed to a Column?

An atomic unit of data that can be stored in a database table.

A unit of data that is defined for processing. It usually documents an aspect of something abstract.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

Which of the following is / are a benefit of the 'round-trip' concept?

The user can identify gaps between Collibra characteristics and spreadsheet columns

Auto-mapping is seamless due to generated column headers within the spreadsheet

The user gets a template to guide their import

The user can easily elect for their template to include columns needed for reimport

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Collibra Data Steward Certification

In what domain type can Lines of Business assets be created in?

What is / are the top-level community(ies) in the organization image below?

What is / are the sub-communities contained within the top-level community?

What is / are the domains contained within the top-level community?

After adding a synonym relation from Client to the Business Term, Party, we must go to the Business Term, Party, and add that it is also a synonym to Client.

Which is a better description of a Data Element, as opposed to a Column?

Which of the following is / are a benefit of the 'round-trip' concept?

Which are true in regards to auto mapping when importing assets?

If the following Validation Rule is assigned to Business Terms, what would cause for a Business Term to be invalid?

Based on the articulation score conditions below, what would be the score of a Business Term that has a Definition and an Under Review status?

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