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Updated questions and correct answers related to the caboodle data model fundamentals exam. It covers key concepts such as dmc components, data warehouse definitions, chronicles, clarity, caboodle, ssis packages, schemas (dbo, fullaccess, filteredaccess), slicerdicer, dimensional data models, surrogate keys, lookup columns, dimension tables, fact tables, bridge tables, datamarts, eav dimension tables, and star schemas. It also addresses troubleshooting and data lineage investigations within caboodle and clarity, change tracking, referential integrity, and handling unspecified or deleted values.
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A DMC consists of - CORRECT ANSWER the table, the packages used to populate the table, and underlying metadata tables that assist Caboodle Administrators with the ETL process Data warehouse - CORRECT ANSWER a relational database, made up of tables and columns, that can be queried using SQL Chronicles - CORRECT ANSWER Epic's production database. End users enter data into Chronicles through their daily activities Clarity - CORRECT ANSWER extracts data from the Chronicles database through a standard ETL process. After transformation, the data is stored in a relational database on a separate server Caboodle - CORRECT ANSWER the database used by Caboodle report writers to create reports SQL Server Integration Services (SSIS) packages - CORRECT ANSWER the mechanism used to move data during the Caboodle ETL process dbo schema - CORRECT ANSWER data source for SlicerDicer. The Caboodle Dictionary and the Caboodle portion of the Cogito Data Dictionary reflect the contents of this FullAccess schema - CORRECT ANSWER contains everything for report writers from the dbo schema and more
FilteredAccess schema - CORRECT ANSWER similar to the FullAccess schema except report writers who only have access to the FilteredAccess schema will have their results filtered based on their user security SlicerDicer - CORRECT ANSWER Epic's self-service reporting tool. It dynamically queries Caboodle data based on selected criteria, slices, and measures Dimensional data models - CORRECT ANSWER Maximize user understanding and ease of retrieval •Updates typically occur in batch mode •Normalization offers little advantage •Massive indexes are sustainable Surrogate Key - CORRECT ANSWER Any key column where the column's value does not exist in the source database and is created during the ETL process Lookup Column - CORRECT ANSWER A column in one table whose value identifies at least one row in another table Dimension tables - CORRECT ANSWER contain one row for each entity within the set Fact tables - CORRECT ANSWER one row for each occurrence of some significant, measurable event Bridge tables - CORRECT ANSWER used in Caboodle to model many-to-many relationships DataMarts - CORRECT ANSWER used in Caboodle to report on data points from several DMCs in one place
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A lookup column in Caboodle contains the value - 3. What could this mean? - CORRECT ANSWER There are two possibilities: Either the data that once populated this row in Caboodle has been deleted from the source or this is the row with - 3 as its primary key, for which all lookup columns are also - 3. To know which is true, check the primary key value for the given row: a non-negative value indicates that this row represents deleted data in the source. If a lookup column is null in Clarity, what will appear in the corresponding column in Caboodle? - CORRECT ANSWER If the lookup column was null in the source and the SSIS package defines the data lineage, then a - 1 will appear in Caboodle to represent an unspecified value. If the look up columns's data lineage was not defined by the SSIS package that loaded data for a particular row, then a - 2 will appear in Caboodle to represent a value that is not applicable. Bridge tables contain what two columns - CORRECT ANSWER ComboKey and Key data mart - CORRECT ANSWER bring together data points from several DMCs into one place SetDim - CORRECT ANSWER tables that store lists, or sets, of records What Chronicles data structure underlies many of the