CDW 110v Caboodle Data Model Fundamentals PASSED Exam Questions and CORRECT Answers
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Course
CDW 110v Caboodle Data Model
Institution
CDW 110v Caboodle Data Model
Fundamentals PASSED Exam Questions
and CORRECT Answers
Caboodle Dictionary - CORRECT ANSWER- Basic metadata for tables. Find Descriptions of
tables and columns available in data model. Identify tables that can be linked together.
Caboodle Dictionary Editor - CORRECT ANSWER- In depth view of C...
CDW 110v Caboodle Data Model
Fundamentals PASSED Exam Questions
and CORRECT Answers
Caboodle Dictionary - CORRECT ANSWER- Basic metadata for tables. Find Descriptions of
tables and columns available in data model. Identify tables that can be linked together.
Caboodle Dictionary Editor - CORRECT ANSWER- In depth view of Caboodle ETL
packages and data lineage. Shows Clarity tables data that extracted from when populating
tables, which ETL packages are used by Caboodle tables and dependencies amongst the
tables in Caboodle.
Caboodle Executions - CORRECT ANSWER- Where Caboodle administrators can create,
edit, run and monitor executions. Can be used to schedule recurring executions.
Caboodle Workqueues - CORRECT ANSWER- Logs the different types of issues that can
occur during the ETL process that require manual intervention to resolve.
Caboodle configurations - CORRECT ANSWER- modify settings, perform customizations
such as adding attributes to the data model and view reports related to Caboodle
configuration and operation.
Caboodle BI Developers - CORRECT ANSWER- write Caboodle reports and should have
access to the Caboodle Dictionary on the Console. Dictionary provides table descriptions,
data lineage for tables and columns and foreign key information. BI Developers should be
familiar with Caboodles dimensional data model and at least one area of healthcare reportings
such as revenue or clinical reporting.
Caboodle Administrators - CORRECT ANSWER- have access to all activities on the
Caboodle Console. Administrators monitor executions, troubleshoot work queue errors and
establish system level configurations.
Caboodle ETL Developers - CORRECT ANSWER- create custom EPIC and n on Epic
content for extraction into the data warehouse, document their work in the dictionary editor
, and test their work using the ETL tools available in the console. Custom development notes
and documentation relevant to report writers will be visible in the dictionary.
Why use Caboodle - CORRECT ANSWER- Accessibility, Efficiency and fewer tables and
simpler joins.
SSIS package - CORRECT ANSWER- SQL Server Integration packages : Data is extracted
from source systems (Clarity) transformed in the staging database and presented for users in
the reporting database.
DMCs - CORRECT ANSWER- Data Model Components
Data Model Compenents - CORRECT ANSWER- collection of metadata tables that support
the ETL process and reporting views stored in the FullAccess schema.
DMC type and suffixes - CORRECT ANSWER- Each DMC gets a type and suffix. Dim for
dimensions, Fact for facts, Bridge for bridges, Datamart for data marts, AttributeValueDim
for EAV tables, X for custom tables
Caboodle Star Schema - CORRECT ANSWER- where one central fact table will join to
many associated lookup or dimension tables.
Dimensional Data Model - CORRECT ANSWER- This structure intentionally makes some
compromises to the normalized data model used by Clarity in order to facilitate report
writing. The trade off is that it requires more complicated ETL process to maintain.
Caboodle consists of a reporting database and a staging database - CORRECT ANSWER-
dbo - CORRECT ANSWER- Staging database: import tables and mapping tables live here.
Used by administrators for moving data into Caboodle. Reporting Database: dbo schema
stores reporting data and acts as the data source for SlicerDicer. Caboodle Dictionary reflects
the contents of the dbo schema
EPIC - CORRECT ANSWER- Staging Database: Epic schema on the staging database
contains the _IdLookup tables, which map source IDs to system-generated Caboodle primary
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