2023-2024 CDW110 Pracice Exam with Answers (120 Solved Questions)

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CDW110latest upgraded questions andanswers 2023-2024CHAPTER 1-Caboodle Console-The Caboodle Console is a web application housedon the Caboodle server. It includes the following:DictionaryDictionary EditorExecutionsWork QueueConfigurationCHAPTER 1-Data Warehouse-In a data warehouse, multiple sources may load datapertaining to a single entity. This means that more than one package may populate agiven row in a Caboodle table. As a result, there may be multiple business key valuesassociated with a single entity in a Caboodle table.CHAPTER 1-ETL-Extract, Transform, LoadCHAPTER 1-SSIS Package-The architecture of Caboodle includes a staging databaseand 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-Generally, data lineage refers to the process of identifyingthe source of a specific piece of information. In Caboodle, data lineage is defined at thepackage level.CHAPTER 1-Star Schema-The standard schema for a dimensional data model. Thename 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 centralfact table will join to many associated lookup or dimension tables. This structureprovides the foundation of the Caboodle data model.CHAPTER 1-DMC-DATA MODEL COMPONENTNo table in Caboodle "stands alone." Each is considered part of a Data ModelComponent, which refers to the collection of metadata tables that support the ETLprocess and reporting views stored in the FullAccess schema.Each DMC gets a type. Strict table namingconventions are followed in Caboodle, sothat a table's suffix provides information about its structure and purpose.These suffixes are:· Dim for dimensions (e.g. PatientDim)

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· 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-The Caboodle database into which records are loadedby SSIS packages and stored procedures.CHAPTER 1-Reporting Database-The architecture of Caboodle includes a stagingdatabase 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-STAGING DATABASEImport tables and Mapping tables live here. This isprimarily used by administrators for moving data into Caboodle.REPORTING DATABASEThe dbo schema stores reporting data and acts as thedata source for SlicerDicer. The Caboodle Dictionary reflects the contents of the dboschema.CHAPTER 1-FullAccess Schema-STAGING DATABASEThe FullAccess schema does not exist on the Staging database.REPORTING DATABASEThe FullAccess schema houses views that simplify reporting. FullAccess should be yourdefault schema when reporting.CHAPTER 1-Identify key characteristics of the dimensional data model-MADE forreport writers.· Simpler and more intuitive.· Easily extensible.· More performant..CHAPTER 1-Identify the benefits of the dimensional data model?-It centralizes itsstructure around more flexible fact and dimension tables, and the joins between theseare more intuitive.CHAPTER 1-Identify documentation resources for reporting out of Caboodle-CaboodleDictionaryReporting with Caboodle documentCaboodle ER diagram

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CHAPTER 1-Identify reporting needs that best fit Caboodle-Custom data packagescan be written by Caboodle developers to accommodate your organization's reportingneeds.CHAPTER 1-How does Epic data flow into Caboodle-Epic data moves betweenseveral databases before it gets to Caboodle.CHRONICLES flows into CLARITY via ETL. After transformation, the data is stored in arelational database on a separate server. Even though the structure of the Chroniclesand Clarity databases differ significantly, the ETL process preserves the relationshipsmapped in Chronicles.CLARITY flows into Caboodle data is extractedfrom Clarity, transformed in the staging database, and presented for users in thereporting database. This movement of data is realized via a setof SQL ServerIntegration Services (SSIS) packages.CHAPTER 1-How does Non-Epic data flow into Caboodle-The Caboodle developerdesigns custom DMCs (Data Model Components) and writes SSISpackages to bring additional data into the warehouse. This may beadditional Epic datafrom 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. UsersB. ED VisitsC. Diagnosis definitions-A. UsersB. ED VisitsUsers and diagnosis definitions would be in their own dimension tables. ED Visits areconsidered reportable, measureable events and would be in a fact table.CHAPTER 2-Which of the following are possible in Caboodle? For each of the answersyou select, use the Caboodle Dictionary to find an example.A. Joining a Fact table to another Fact tableB. Joining a Fact table to a Dimension tableC. Joining a Dimension table to a Dimension tableD. Joining two different Fact tables to the same Profile Dimension table-(Examplesmay vary)a. EncounterFact can join to HospitalAdmissionFactb. MedicationOrderFact can join to PatientDimc. PatientDim can join to ProviderDimCHAPTER 2-Which of the following can be populated by more than one package?Select ALL that apply.A. A single tableB. A single row in a table-A & B

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CHAPTER 2-TRUE or FALSE: Caboodle and Clarity can be used interchangeably.-FALSECHAPTER 2-Fact Table-The core table types in a dimensional data model are factsand 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 chargetransaction.A facttable typically contains lookup columns to several dimension tables. Thisarrangement somewhat resembles a star and so is referred to as a "star schemaFact tables typically join to dimension tables, but may also join to other types of DMCs,such as otherfact tables and bridge tables.All fact tables have a Count column, which stores 0 for the negative rows, 0 for any rowthat represents deleted data, and 1 otherwise.The names of fact tables end with "Fact."All Fact Tables in Caboodle use a surrogatekey as their primary key.CHAPTER 2-Dimension Table-The core table types in a dimensional data model arefacts and dimensions.A row in a dimension table represents a concrete entity which provides context for anevent, such as the patient for whom amedication was ordered. A fact table typicallycontains lookup columns to several dimension tables. This arrangement somewhatresembles a star and so is referred to as a "star schema."Fact tables typically join to dimension tables, but may also join to other types of DMCs,such as other facttables and bridge tables. It is possible, but not common, for a dimension table to containlookup columns to other DMCs.All Dimension Tables in Caboodle use a surrogate key as their primary key.CHAPTER 2-SurrogateKey-A system‐generated identifier in Caboodle. Not inherentlymeaningful to report consumers.All fact and dimension tables in Caboodle use a surrogate key as their primary key.Surrogate key column names match the name of the table. Surrogate key values arecreated during the ETL process. Eachsurrogate key value uniquely identifies one row of thetable.Surrogate key values are not the same as source identifiers.

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