CDW110 EXAM QUESTIONS AND
ANSWERS 2025
,(General Reporting Tips) If a query refers to more than one table, all columns should be
prefixed by a descriptor (table name or alias) - ANSWERUsing descriptors ensures you
have unambiguous column references, preventing issues that can occur when two
tables contain columns with the same name.
Chapter 1. (Study Checklist) Caboodle Console - ANSWERThe Caboodle Console is a
web application housed on the Caboodle server. It includes the following:
Dictionary
Dictionary Editor
Executions
Work Queue
Configuration
Chapter 1. (Study Checklist) Data Warehouse - ANSWERIn a data warehouse, multiple
sources may load data pertaining to a single entity. This means that more than one
package may populate a given row in a Caboodle table. As a result, there may be
multiple business key values associated with a single entity in a Caboodle table.
Chapter 1. (Study Checklist) ETL - ANSWERExtract, Transform, Load
Chapter 1. (Study Checklist) SSIS Package - ANSWERThe architecture of Caboodle
includes a staging database and a reporting database. Data is extracted from source
systems (like Clarity), transformed in the staging database, and presented for users in
the reporting database. This movement of data is realized via a set of SQL Server
Integration Services (SSIS) packages.
Chapter 1. (Study Checklist) Data Lineage - ANSWERGenerally, data lineage refers to
the process of identifying the source of a specific piece of information. In Caboodle,
data lineage is defined at the package level.
Chapter 1. (Study Checklist) Star Schema - ANSWERThe standard schema for a
dimensional data model. The name refers to the image of a fact table surrounded by
many linked dimension tables, which loosely resembles a star.
The Caboodle data model structure is based on a "star schema" ‐ where one central
fact table will join to many associated lookup or dimension tables. This structure
provides the foundation of the Caboodle data model.
Chapter 1. (Study Checklist) DMC - ANSWERDATA MODEL COMPONENT
No table in Caboodle "stands alone." Each is considered part of a Data Model
Component, which refers to the collection of metadata tables that support the ETL
process and reporting views stored in the FullAccess schema.
, Each DMC gets a type. Strict table naming conventions are followed in Caboodle, so
that a table's suffix provides information about its structure and purpose.
These suffixes are:
· Dim for dimensions (e.g. PatientDim)
· Fact for facts (e.g. EncounterFact)
· Bridge for bridges (e.g. DiagnosisBridge)
· DataMart for data marts (e.g. HospitalReadmissionDataMart)
· AttributeValueDim for EAV tables (e.g. PatientAttributeValueDim)
· X for custom tables (e.g. CustomFactX)
Chapter 1. (Study Checklist) Staging Database - ANSWERThe Caboodle database into
which records are loaded by SSIS packages and stored procedures.
Chapter 1. (Study Checklist) Reporting Database - ANSWERThe architecture of
Caboodle includes a staging database and a reporting database. Data is extracted from
source systems (like Clarity), transformed in the staging database, and presented for
users in the reporting database. This movement of data is realized via a set of SQL
Server Integration Services (SSIS)
packages.
Chapter 1. (Study Checklist) Dbo Schema - ANSWERSTAGING DATABASE
Import tables and Mapping tables live here. This is
primarily used by administrators for moving data into Caboodle.
REPORTING DATABASE
The dbo schema stores reporting data and acts as the
data source for SlicerDicer. The Caboodle Dictionary reflects the contents of the dbo
schema.
Chapter 1. (Study Checklist) FullAccess Schema - ANSWERSTAGING DATABASE
The FullAccess schema does not exist on the Staging database.
REPORTING DATABASE
The FullAccess schema houses views that simplify reporting. FullAccess should be your
default schema when reporting.
(ETL Terms) Execution - ANSWERAn execution is the process that extracts data from a
source system using packages, transforms the data in the staging database, and loads
it to Caboodle for reporting. You create and run executions in the Caboodle Console.
(ETL Terms) Extract - ANSWERExtracts to Caboodle from Clarity can be either backfill
or incremental. Backfill extracts load or reload every row in a table from Clarity, whereas
incremental extracts load only changed rows. Existing data is available while extracts
are in progress.
ANSWERS 2025
,(General Reporting Tips) If a query refers to more than one table, all columns should be
prefixed by a descriptor (table name or alias) - ANSWERUsing descriptors ensures you
have unambiguous column references, preventing issues that can occur when two
tables contain columns with the same name.
Chapter 1. (Study Checklist) Caboodle Console - ANSWERThe Caboodle Console is a
web application housed on the Caboodle server. It includes the following:
Dictionary
Dictionary Editor
Executions
Work Queue
Configuration
Chapter 1. (Study Checklist) Data Warehouse - ANSWERIn a data warehouse, multiple
sources may load data pertaining to a single entity. This means that more than one
package may populate a given row in a Caboodle table. As a result, there may be
multiple business key values associated with a single entity in a Caboodle table.
Chapter 1. (Study Checklist) ETL - ANSWERExtract, Transform, Load
Chapter 1. (Study Checklist) SSIS Package - ANSWERThe architecture of Caboodle
includes a staging database and a reporting database. Data is extracted from source
systems (like Clarity), transformed in the staging database, and presented for users in
the reporting database. This movement of data is realized via a set of SQL Server
Integration Services (SSIS) packages.
Chapter 1. (Study Checklist) Data Lineage - ANSWERGenerally, data lineage refers to
the process of identifying the source of a specific piece of information. In Caboodle,
data lineage is defined at the package level.
Chapter 1. (Study Checklist) Star Schema - ANSWERThe standard schema for a
dimensional data model. The name refers to the image of a fact table surrounded by
many linked dimension tables, which loosely resembles a star.
The Caboodle data model structure is based on a "star schema" ‐ where one central
fact table will join to many associated lookup or dimension tables. This structure
provides the foundation of the Caboodle data model.
Chapter 1. (Study Checklist) DMC - ANSWERDATA MODEL COMPONENT
No table in Caboodle "stands alone." Each is considered part of a Data Model
Component, which refers to the collection of metadata tables that support the ETL
process and reporting views stored in the FullAccess schema.
, Each DMC gets a type. Strict table naming conventions are followed in Caboodle, so
that a table's suffix provides information about its structure and purpose.
These suffixes are:
· Dim for dimensions (e.g. PatientDim)
· Fact for facts (e.g. EncounterFact)
· Bridge for bridges (e.g. DiagnosisBridge)
· DataMart for data marts (e.g. HospitalReadmissionDataMart)
· AttributeValueDim for EAV tables (e.g. PatientAttributeValueDim)
· X for custom tables (e.g. CustomFactX)
Chapter 1. (Study Checklist) Staging Database - ANSWERThe Caboodle database into
which records are loaded by SSIS packages and stored procedures.
Chapter 1. (Study Checklist) Reporting Database - ANSWERThe architecture of
Caboodle includes a staging database and a reporting database. Data is extracted from
source systems (like Clarity), transformed in the staging database, and presented for
users in the reporting database. This movement of data is realized via a set of SQL
Server Integration Services (SSIS)
packages.
Chapter 1. (Study Checklist) Dbo Schema - ANSWERSTAGING DATABASE
Import tables and Mapping tables live here. This is
primarily used by administrators for moving data into Caboodle.
REPORTING DATABASE
The dbo schema stores reporting data and acts as the
data source for SlicerDicer. The Caboodle Dictionary reflects the contents of the dbo
schema.
Chapter 1. (Study Checklist) FullAccess Schema - ANSWERSTAGING DATABASE
The FullAccess schema does not exist on the Staging database.
REPORTING DATABASE
The FullAccess schema houses views that simplify reporting. FullAccess should be your
default schema when reporting.
(ETL Terms) Execution - ANSWERAn execution is the process that extracts data from a
source system using packages, transforms the data in the staging database, and loads
it to Caboodle for reporting. You create and run executions in the Caboodle Console.
(ETL Terms) Extract - ANSWERExtracts to Caboodle from Clarity can be either backfill
or incremental. Backfill extracts load or reload every row in a table from Clarity, whereas
incremental extracts load only changed rows. Existing data is available while extracts
are in progress.
