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CDW110 NEWEST 2026/2027 ACTUAL EXAM COMPLETE QUESTIONS AND CORRECT DETAILED ANSWERS (VERIFIED ANSWERS) |ALREADY GRADED A+||BRAND NEW!!

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CDW110 NEWEST 2026/2027 ACTUAL EXAM COMPLETE QUESTIONS AND CORRECT DETAILED ANSWERS (VERIFIED ANSWERS) |ALREADY GRADED A+||BRAND NEW!!

Institution
CDW110v Caboodle Data Model Fundamentals
Course
CDW110v Caboodle Data Model Fundamentals









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Institution
CDW110v Caboodle Data Model Fundamentals
Course
CDW110v Caboodle Data Model Fundamentals

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CDW110

CHAPTER 1-Caboodle Console - ANSThe 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 - ANSIn 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 - ANSExtract, Transform, Load

CHAPTER 1-SSIS Package - ANSThe 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 - ANSGenerally, 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 - ANSThe 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 - ANSDATA 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 - ANSThe Caboodle database into which records are loaded
by SSIS packages and stored procedures.

CHAPTER 1-Reporting Database - ANSThe 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 - ANSSTAGING 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 - ANSSTAGING 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 - ANSMADE for
report writers.
· Simpler and more intuitive.
· Easily extensible.
· More performant..

CHAPTER 1-Identify the benefits of the dimensional data model? - ANSIt 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 - ANSCaboodle
Dictionary
Reporting with Caboodle document
Caboodle ER diagram

CHAPTER 1-Identify reporting needs that best fit Caboodle - ANSCustom data packages
can be written by Caboodle developers to accommodate your organization's reporting
needs.

CHAPTER 1-How does Epic data flow into Caboodle - ANSEpic data moves between
several databases before it gets to Caboodle.

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