CDW110 EXAM QUESTIONS WITH COMPLETE SOLUTIONS
GUARANTEED PASS BRAND NEW 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) -
ANSWER ->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 -ANSWER ->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 -ANSWER ->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 -ANSWER ->Extract, Transform, Load
Chapter 1. (Study Checklist) SSIS Package -ANSWER ->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.
,Chapter 1. (Study Checklist) Data Lineage -ANSWER ->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 -ANSWER ->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 -ANSWER ->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 -ANSWER ->The Caboodle
database into which records are loaded by SSIS packages and stored
procedures.
Chapter 1. (Study Checklist) Reporting Database -ANSWER ->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.
Chapter 1. (Study Checklist) Dbo Schema -ANSWER ->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 -ANSWER ->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 -ANSWER ->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 -ANSWER ->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.
(ETL Terms)package -ANSWER ->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. -ANSWER ->MADE for report writers.
· Simpler and more intuitive.
· Easily extensible.
· More performant..
Chapter 1. (Study Checklist) Identify documentation resources for
reporting out of Caboodle -ANSWER ->Caboodle Dictionary
Reporting with Caboodle document
Caboodle ER diagram
Chapter 1. (Study Checklist) Identify reporting needs that best fit
Caboodle -ANSWER ->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
GUARANTEED PASS BRAND NEW 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) -
ANSWER ->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 -ANSWER ->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 -ANSWER ->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 -ANSWER ->Extract, Transform, Load
Chapter 1. (Study Checklist) SSIS Package -ANSWER ->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.
,Chapter 1. (Study Checklist) Data Lineage -ANSWER ->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 -ANSWER ->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 -ANSWER ->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 -ANSWER ->The Caboodle
database into which records are loaded by SSIS packages and stored
procedures.
Chapter 1. (Study Checklist) Reporting Database -ANSWER ->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.
Chapter 1. (Study Checklist) Dbo Schema -ANSWER ->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 -ANSWER ->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 -ANSWER ->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 -ANSWER ->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.
(ETL Terms)package -ANSWER ->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. -ANSWER ->MADE for report writers.
· Simpler and more intuitive.
· Easily extensible.
· More performant..
Chapter 1. (Study Checklist) Identify documentation resources for
reporting out of Caboodle -ANSWER ->Caboodle Dictionary
Reporting with Caboodle document
Caboodle ER diagram
Chapter 1. (Study Checklist) Identify reporting needs that best fit
Caboodle -ANSWER ->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
