CDW 110 LATEST EXAM 2024/2025 WITH QUESTIONS AND
VERIFIED CORRECT ANSWERS/ ALREADY GRADED A++
CHAPTER 1-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-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-ETL -ANSWER Extract, Transform, Load
CHAPTER 1-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-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-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-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-Staging Database -ANSWER The Caboodle database into
which records are loaded by SSIS packages and stored procedures.
CHAPTER 1-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-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-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.
,CHAPTER 1-Identify key characteristics of the dimensional data model -
ANSWER MADE for report writers.
· Simpler and more intuitive.
· Easily extensible.
· More performant..
CHAPTER 1-Identify the benefits of the dimensional data model? -
ANSWER It centralizes its structure around more flexible fact and
dimension tables, and the joins between these are more intuitive.
CHAPTER 1-Identify documentation resources for reporting out of
Caboodle -ANSWER Caboodle Dictionary
Reporting with Caboodle document
Caboodle ER diagram
CHAPTER 1-Identify reporting needs that best fit Caboodle -ANSWER
Custom data packages can be written by Caboodle developers to
accommodate your organization's reporting needs.
CHAPTER 1-How does Epic data flow into Caboodle -ANSWER Epic data
moves between several databases before it gets to Caboodle.
CHRONICLES flows into CLARITY via ETL. After transformation, the data
is stored in a relational database on a separate server. Even though the
structure of the Chronicles and Clarity databases differ significantly, the
ETL process preserves the relationships mapped in Chronicles.
CLARITY flows into Caboodle data is extracted
from 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-How does Non-Epic data flow into Caboodle -ANSWER The
Caboodle developer designs custom DMCs (Data Model Components) and
writes SSIS
packages to bring additional data into the warehouse. This may be
additional Epic data from Clarity or non‐Epic data from 3rd party sources.
, CHAPTER 2-Which of the following would you expect to be stored in a
dimension table?
A. Users
B. ED Visits
C. Diagnosis definitions -ANSWER A. Users
B. ED Visits
Users and diagnosis definitions would be in their own dimension tables. ED
Visits are considered reportable, measureable events and would be in a
fact table.
CHAPTER 2-Which of the following are possible in Caboodle? For each of
the answers you select, use the Caboodle Dictionary to find an example.
A. Joining a Fact table to another Fact table
B. Joining a Fact table to a Dimension table
C. Joining a Dimension table to a Dimension table
D. Joining two different Fact tables to the same Profile Dimension table -
ANSWER (Examples may vary)
a. EncounterFact can join to HospitalAdmissionFact
b. MedicationOrderFact can join to PatientDim
c. PatientDim can join to ProviderDim
CHAPTER 2-Which of the following can be populated by more than one
package? Select ALL that apply.
A. A single table
B. A single row in a table -ANSWER A & B
CHAPTER 2-TRUE or FALSE: Caboodle and Clarity can be used
interchangeably. -ANSWER FALSE
CHAPTER 2-Fact Table -ANSWER The core table types in a dimensional
data model are facts and dimensions. A row in a fact table corresponds to
the occurrence of some significant, measurable event, such as the ordering
of a medication or the posting of a charge transaction.
A fact table typically contains lookup columns to several dimension tables.
This arrangement somewhat resembles a star and so is referred to as a
"star schema
VERIFIED CORRECT ANSWERS/ ALREADY GRADED A++
CHAPTER 1-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-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-ETL -ANSWER Extract, Transform, Load
CHAPTER 1-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-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-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-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-Staging Database -ANSWER The Caboodle database into
which records are loaded by SSIS packages and stored procedures.
CHAPTER 1-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-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-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.
,CHAPTER 1-Identify key characteristics of the dimensional data model -
ANSWER MADE for report writers.
· Simpler and more intuitive.
· Easily extensible.
· More performant..
CHAPTER 1-Identify the benefits of the dimensional data model? -
ANSWER It centralizes its structure around more flexible fact and
dimension tables, and the joins between these are more intuitive.
CHAPTER 1-Identify documentation resources for reporting out of
Caboodle -ANSWER Caboodle Dictionary
Reporting with Caboodle document
Caboodle ER diagram
CHAPTER 1-Identify reporting needs that best fit Caboodle -ANSWER
Custom data packages can be written by Caboodle developers to
accommodate your organization's reporting needs.
CHAPTER 1-How does Epic data flow into Caboodle -ANSWER Epic data
moves between several databases before it gets to Caboodle.
CHRONICLES flows into CLARITY via ETL. After transformation, the data
is stored in a relational database on a separate server. Even though the
structure of the Chronicles and Clarity databases differ significantly, the
ETL process preserves the relationships mapped in Chronicles.
CLARITY flows into Caboodle data is extracted
from 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-How does Non-Epic data flow into Caboodle -ANSWER The
Caboodle developer designs custom DMCs (Data Model Components) and
writes SSIS
packages to bring additional data into the warehouse. This may be
additional Epic data from Clarity or non‐Epic data from 3rd party sources.
, CHAPTER 2-Which of the following would you expect to be stored in a
dimension table?
A. Users
B. ED Visits
C. Diagnosis definitions -ANSWER A. Users
B. ED Visits
Users and diagnosis definitions would be in their own dimension tables. ED
Visits are considered reportable, measureable events and would be in a
fact table.
CHAPTER 2-Which of the following are possible in Caboodle? For each of
the answers you select, use the Caboodle Dictionary to find an example.
A. Joining a Fact table to another Fact table
B. Joining a Fact table to a Dimension table
C. Joining a Dimension table to a Dimension table
D. Joining two different Fact tables to the same Profile Dimension table -
ANSWER (Examples may vary)
a. EncounterFact can join to HospitalAdmissionFact
b. MedicationOrderFact can join to PatientDim
c. PatientDim can join to ProviderDim
CHAPTER 2-Which of the following can be populated by more than one
package? Select ALL that apply.
A. A single table
B. A single row in a table -ANSWER A & B
CHAPTER 2-TRUE or FALSE: Caboodle and Clarity can be used
interchangeably. -ANSWER FALSE
CHAPTER 2-Fact Table -ANSWER The core table types in a dimensional
data model are facts and dimensions. A row in a fact table corresponds to
the occurrence of some significant, measurable event, such as the ordering
of a medication or the posting of a charge transaction.
A fact table typically contains lookup columns to several dimension tables.
This arrangement somewhat resembles a star and so is referred to as a
"star schema
