CDW110 EXAM 2025 QUESTIONS AND
ANSWERS
(General Reporting Tips) If a query refers to more than one table, all columns should be
prefixed by a descriptor (table name or alias) - ANS Using 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 - ANS The 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 - ANS In 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 - ANS Extract, Transform, Load
Chapter 1. (Study Checklist) SSIS Package - ANS The 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.
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@COPYRIGHT FYNDLAY 2025/2026
, Chapter 1. (Study Checklist) Data Lineage - ANS Generally, 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 - ANS The 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 - ANS DATA 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 - ANS The Caboodle database into which
records are loaded by SSIS packages and stored procedures.
Chapter 1. (Study Checklist) Reporting Database - ANS The architecture of Caboodle includes
2
a staging database and a reporting database. Data is extracted from source systems (like
Page
@COPYRIGHT FYNDLAY 2025/2026
, 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 - ANS STAGING 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 - ANS STAGING 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 - ANS An 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 - ANS Extracts 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.
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, (ETL Terms)package - ANS A package is a definition of an extract of data from one specific
source to a specific import table. For example, a fact might have packages for Epic inpatient
data, Epic outpatient data, and several non-Epic data sources. Packages are defined in SSIS .dtsx
files.
Chapter 1. (Study Checklist) Identify key characteristics of the dimensional data model. -
ANS MADE for report writers.
· Simpler and more intuitive.
· Easily extensible.
· More performant..
Chapter 1. (Study Checklist) Identify documentation resources for reporting out of Caboodle -
ANS Caboodle Dictionary
Reporting with Caboodle document
Caboodle ER diagram
Chapter 1. (Study Checklist) Identify reporting needs that best fit Caboodle - ANS Custom
data packages can be written by Caboodle developers to accommodate your organization's
reporting needs.
(General Reporting Tips) Add a filter to most queries to exclude Caboodle's special rows for
unspecified, not applicable, and deleted records, which have surrogate keys of -1, -2, and -3 -
ANS Include only rows where the key is greater than 0.
(General Reporting Tips) Caboodle has a numbers table, NumbersDim, that you can use as
needed in your reports - ANS NumbersDim contains the integers from 1 to 1,000,000, which
you can reference to help manipulate strings and complete other processes. If you need more
than 1,000,000 rows to accomplish a task, you can refer to NumbersDim multiple times in your
query.
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ANSWERS
(General Reporting Tips) If a query refers to more than one table, all columns should be
prefixed by a descriptor (table name or alias) - ANS Using 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 - ANS The 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 - ANS In 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 - ANS Extract, Transform, Load
Chapter 1. (Study Checklist) SSIS Package - ANS The 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.
1Page
@COPYRIGHT FYNDLAY 2025/2026
, Chapter 1. (Study Checklist) Data Lineage - ANS Generally, 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 - ANS The 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 - ANS DATA 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 - ANS The Caboodle database into which
records are loaded by SSIS packages and stored procedures.
Chapter 1. (Study Checklist) Reporting Database - ANS The architecture of Caboodle includes
2
a staging database and a reporting database. Data is extracted from source systems (like
Page
@COPYRIGHT FYNDLAY 2025/2026
, 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 - ANS STAGING 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 - ANS STAGING 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 - ANS An 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 - ANS Extracts 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.
3
Page
@COPYRIGHT FYNDLAY 2025/2026
, (ETL Terms)package - ANS A package is a definition of an extract of data from one specific
source to a specific import table. For example, a fact might have packages for Epic inpatient
data, Epic outpatient data, and several non-Epic data sources. Packages are defined in SSIS .dtsx
files.
Chapter 1. (Study Checklist) Identify key characteristics of the dimensional data model. -
ANS MADE for report writers.
· Simpler and more intuitive.
· Easily extensible.
· More performant..
Chapter 1. (Study Checklist) Identify documentation resources for reporting out of Caboodle -
ANS Caboodle Dictionary
Reporting with Caboodle document
Caboodle ER diagram
Chapter 1. (Study Checklist) Identify reporting needs that best fit Caboodle - ANS Custom
data packages can be written by Caboodle developers to accommodate your organization's
reporting needs.
(General Reporting Tips) Add a filter to most queries to exclude Caboodle's special rows for
unspecified, not applicable, and deleted records, which have surrogate keys of -1, -2, and -3 -
ANS Include only rows where the key is greater than 0.
(General Reporting Tips) Caboodle has a numbers table, NumbersDim, that you can use as
needed in your reports - ANS NumbersDim contains the integers from 1 to 1,000,000, which
you can reference to help manipulate strings and complete other processes. If you need more
than 1,000,000 rows to accomplish a task, you can refer to NumbersDim multiple times in your
query.
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Page
@COPYRIGHT FYNDLAY 2025/2026
