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CDW 110 STUDY GUIDE 2025/2026 FULLY SOLVED QUESTIONS WITH ACCURATE ANSWERS A+

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CDW 110 STUDY GUIDE 2025/2026 FULLY SOLVED QUESTIONS WITH ACCURATE ANSWERS A+

Institution
CDW
Course
CDW

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CDW 110 STUDY GUIDE 2025/2026 FULLY
SOLVED QUESTIONS WITH ACCURATE
ANSWERS A+



◉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

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