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1. A health system needs to analyze patient admissions and discharges in a chart with a common date axis that looks like the chart below.
The initial data table (InpatientEncounters) contains a patient admission date and a discharge date for each patient encounter. The data architect will use set analysis to calculate the number of admissions and discharges in the chart.
The data architect needs to design a data model with a minimum number of tables. Which tables should the data architect create to meet these requirements?
A) AdmissionCalendar and DischargeCalendar
B) DateLink and CommonCalendar
C) AdmissionCalendar, DischargeCalendar, and CommonCalendar
D) DateLink, AdmissionCalendar. and DischargeCalendar
2. Refer to the exhibit.
A fashion retail company needs to analyze data about product inventory. The company needs to filter by attributes by such as color, material, and size.
Which strategy should a data architect use to meet these requirements?
A) Loop through the table to transpose fields
B) Turn data rows into fields by using a generic load
C) Use the hierarchy load statement to expand hierarchy levels
D) Use crosstable in the load statement to unpivot
3. 

Refer to the exhibits
Executives need to see the total sales by region for the current year. The data architect inherits App1 from a former employee who tried to address this requirement. Two Microsoft Excel spreadsheets, Region and Employee, are used as the data source. The data architect creates a table and identifies errors in the amount of sales per region Which method should the data architect use to resolve the errors''
A) In the data load editor, concatenate the Region and Employee tables
B) In the data manager, split the Region table and associate by Region ID
C) In the data manager concatenate the Region table and associate by Region.lD
D) In the data manager, split the Region table and associate by EmployeelD
4. 
Refer to the exhibit.
A data architect is reviewing an app that is under development. The app has NOT been published All data has been validated in all charts and KPIs. The data architect notices that the data model has two fact tables with common field names that cause a synthetic join Which step should the data architect take to correct the data model without affecting the app?
A) Perform a mapping load for the Employees table and use ApplyMap in the Sales and Budget tables
B) Create a composite key in the Sales and Budget tables instead of loading Year Employee!^ and ProductID
C) Create a composite key in the Sales and Budget tables that consists of the Year, EmployeelDr and ProductID
D) Concatenate LOAD the data from the Sales and Budget tables to combine into a single table
5. Refer to the exhibit.
A data architect must load the two tables without creating a synthetic key. The data architect also must make sure expressions like Sum([Budgeted Sales]) are calculated correctly.
Which load script meets these requirements?
A)
B)
C)
A) Option B
B) Option C
C) Option A
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: C |
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