Cdw110 Updated Actual Questions And Correct Answers Comprehensive Study Guide

CDW110 UPDATED ACTUAL QUESTIONS
AND CORRECT ANSWERS
COMPREHENSIVE STUDY GUIDE

●● 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