A. Dashboard Editor

B. Data Refinery

C. RStudio

D. AutoAl

A. Cloud Pak for Data helps connect to data, no matter where it lives.

B. Cloud Pak for Data includes numerous services that generate scalable insight on demand.

C. The Watson Knowledge Catalog service classifies, governs and catalogs data.

D. Al becomes a part of the standard operating procedure for the enterprise.

A. Cognos Dashboards

B. R Shiny

C. Watson Studio

D. SPSS Modeler

A. Db2 Warehouse

B. DataStage

C. Watson Knowledge Catalog

D. Data Management Console

A. By performing a comparison of the data asset schema with the logical data model stored in Watson Knowledge Catalog

B. By using machine learning to compare the content of each column against the business terms in Watson Knowledge Catalog

C. By examining eleven different Quality Dimensions as represented in the Data Quality Dashboard

D. By reading Column Names as listed in the Master Column Index in Watson Knowledge Catalog

A. Cataloged assets must be selected manually to initiate profiling.

B. Only asset owners can see the profile of an asset.

C. A profile examines each row of a data asset.

D. Parquet and CSV files can be profiled.

A. 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.

B. They represent specific business areas and cannot be related to each other.

C. They are organized by Watson Knowledge Catalog policy artifacts aligned with key business-meaningful groupings.

D. Business Scopes are used to identify a group of Business Core Vocabularies that supports several business issues, project areas and business functions.

E. They are a grouping of interconnected business terms that provide the enterprise with a standardized central vocabulary of business language.