Establish Governance and Support Published Content16% of the exam
Certification, data quality warnings and data stewardship
Build a data quality strategy from certification, data quality warnings (manual, monitoring and high visibility), sensitivity and custom labels, and the publishing and search habits that stop duplicate data sources, including who may set each label and which ones need Data Management.
Recommend a strategy for ensuring data quality, including certifying data sources, minimizing data proliferation, and configuring data quality warnings.
~7 min read · 7 practice questions ·
What the exam expects
- Decide who can certify a published data source, a virtual connection or a Catalog table, and which of these needs Data Management.
- Choose between a manual data quality warning, a monitoring warning and site-wide monitoring for a stated requirement.
- Use high visibility and the subscription site setting so warnings reach people who only read emails.
- Predict which labels flow to downstream content and which stay on the labelled asset.
- Recommend practices that reduce duplicate data sources: publishing, certification and Search for Data.
Key terms:
- Data label: metadata attached to a data asset; categories are certification, data quality warning, sensitivity and custom.
- Certification: a label marking an asset as trusted, shown as a green badge or check mark.
- Data quality warning: a label that tells users of an asset, and of everything downstream, about a known issue.
- Monitoring quality warning: a warning Tableau adds when an extract refresh or flow run fails and removes when it next succeeds.
- Data proliferation: duplicate data sources that confuse users, raise the chance of errors and consume resources.
Key facts
Data Management exception
- Detail
- Certifying published data sources needs no Data Management
Setting a quality warning
- Detail
- Administrator, or Overwrite on the asset
Certifying databases or tables
- Detail
- Catalog enabled; administrator or Set Permissions on the database
Certified data sources
- Detail
- Rank higher in search; added to recommended data sources
Inherited by downstream assets
- Detail
- Quality warnings and sensitivity labels
Not inherited
- Detail
- Certification and custom-category labels
Site-wide monitoring
- Detail
- Cloud October 2023 / Server 2023.3; on for new sites only
Warnings in subscription emails
- Detail
- High visibility only, after the site setting is on
Column warnings and virtual connection warnings
- Detail
- Don't appear in Tableau Desktop
Columns
- Detail
- Take every label except certification
- Why might a quality warning badge show a number and a yellow colour?
- When did "Sensitive data" stop being a data quality warning?
- Which colour marks a high visibility sensitivity label?
- Which four data quality warnings are built in for users to set?
The questions are free to read. Answers with their sources and self-grading are included with the pack.
Keep reading with the Tableau Consultant pack
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