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CDW110 /Questions And Answers Download ToPass!!!
Quiz :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
Quiz :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.
Quiz :CHAPTER 1-ETL - Answer :Extract, Transform, Load
Quiz :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.
Quiz :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.
Quiz :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.
Quiz :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)
Quiz :CHAPTER 1-Staging Database - Answer :The Caboodle database into
which records are loaded by SSIS packages and stored procedures.
Quiz :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.
Quiz :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.
Quiz :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.
Quiz :CHAPTER 1-Identify key characteristics of the dimensional data model -
Answer :MADE for report writers.
· Simpler and more intuitive.
, · Easily extensible.
· More performant..
Quiz :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.
Quiz :CHAPTER 1-Identify documentation resources for reporting out of
Caboodle - Answer :Caboodle Dictionary
Reporting with Caboodle document
Caboodle ER diagram
Quiz :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.
Quiz :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.
Quiz :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.
Quiz :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
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