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NEW QUESTION 20
What does it mean when a project in the Data Quality Dashboard shows a low quality percentage of 50%?
- A. 50% of the data contained in the examined assets is bad.
- B. Only 50% of the data in each asset has been reviewed for data quality.
- C. Half of the data assets contained in the project have fallen below the configured threshold during quality analysis.
- D. The data assets have failed data quality analysis along half of the quality dimensions.
NEW QUESTION 21
Several Db2 connections have been created on a Cloud Pak for Data platform. What must be done to monitor the metrics of these databases?
- A. Add the database into the business catalog with Watson Knowledge Catalog
- B. Select the database from the Data Management Console page
- C. Create a Cognos dashboard with the databases
- D. Create virtualized tables using Data Virtualization
NEW QUESTION 22
Which statement is true about T-Shirt size scaling using Cloud Pak for Data?
- A. It can be changed any time but only be increased.
- B. It can be changed any time but only for the entire platform.
- C. It is only set at provisioning time.
- D. It can be changed any time but only for specific services.
NEW QUESTION 23
Which two statements are true about the Business Core Vocabularies in Knowledge Accelerators?
- A. They are a grouping of interconnected business terms that provide the enterprise with a standardized central vocabulary of business language.
- B. They represent specific business areas and cannot be related to each other.
- C. They are a consistent set of terms that can be used by both business and technical teams to describe the information in their physical environment.
- D. They are organized by Watson Knowledge Catalog policy artifacts aligned with key business-meaningful groupings.
- E. Business Scopes are used to identify a group of Business Core Vocabularies that supports several business issues, project areas and business functions.
NEW QUESTION 24
Which two use cases can be delivered via Cognos Analytics?
- A. Prescriptive Analytics
- B. Diagnostic Analytics
- C. Cognitive Analytics
- D. Planning Analytics
- E. Descriptive Analytics
NEW QUESTION 25