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Qlik Sense Data Architect Certification Exam - June 2018 Release 認定 QSDA2018 試験問題:

1. Two companies have merged and a full database integration is planned for next year. The data architect needs an interim solution to view all employee data from both companies
* The tables come from different systems
* Both companies have similar Employees tables
* Both tables have identifiers for Employee and some other attributes (eg , geographical information)
* The tables also have some fields that do NOT match (e.g.: Social Security Number and Bank Account) Which problem occurs when the two tables are loaded into Qlik Sense?

A) A circular reference occurs
B) An auto concatenation occurs
C) Link tables are created
D) Synthetic keys are created

2. Refer to the exhibit

The business analyst previews some data and notices different values for the United States in the Country field. The analyst must be able to report the total sales for the United States The data architect must fix this issue in the LOAD script.
Which function should the data architect use to fix this data quality issue?

A) ApplyMap
B) Switch
C) Replace
D) Case

3. Refer to the exhibit.

In the data load editor, the tables are loaded in the following sequence;
1 OrderHeader
2. OrderDetails
3. Products
The three tables CANNOT be modified as all fields are required.
A data architect must create a Cost of Goods Sold (COGS) field calculated as UnitCost * Quantity. Some products may NOT have UnitCost so the COGS value must be zero for these products.
How should the data architect meet this requirement?

A) 1. Perform a preceding load on the Products table
2. Create a new field in the OrderDetails table, if (Unitcost = nulio or *', 0) * Quantity as cogs
B) 1. Load the Products table as the first table
2. Create a new field in the OrderDetails table: Quantity * isNull (unitcost) as cogs
C) 1. Create a mapping load table as the first table from the Products table
2. Create a new field to the OrderDetails table: toplyMap('unitcos^Map', ProductID, 0) * Quantity as cogs
D) 1 Join the Products and OrderDetails tables on ProductID
2. Create a new field in the OrderDetails table: Replace (Null, o, unitcost) * Quantity as cogs

4. A data architect must br*ak down a 13-character ShipmentID code in the following format, #-###-##-##-#.
Separate fields must be created from the numeric values separated by the hyphen (-). The data architect must extract five sub-fields (ShipmentLoc, Quantity. CategorylD. StoreLoc. and Division) from the 13-character code How should the data architect meet this requirement?

A) In the data manager, use the data profiling card to replace the'-' characters in the ShipmentID
B) In the data load editor, load the ShipmentID field and apply the PurgeChar(ShipmentlD,'-') function
C) In the data load editor, load the ShipmentID field and apply the KeepCharQ and Trim() functions
D) In the data manager, use the data profiling card to split the ShipmentID by the'-' character

5. A customer must create a production app that pulls data from two sources Source 1 is a large legacy system It takes more than one hour to read and save the data to a QVD Reading from the QVD only takes 20 seconds The data only needs to be refreshed every month because it does not change very often Source 2 is a small online data source Reloading this data takes less than one minute The production app must be refreshed every hour to see the most updated data and needs both data sets to meet the analysis requirements How should the data architect set up the data reload?

A) 1 Create the productioff app to connect to both data sources
2. Create a variable and set this to the last reload time using ReloadTimeQ function
3. Use an IF() statement and only load the legacy data when TodayO > 30 days from last reload 4 Create a task to run every hour to reload the production app
B) 1. Create a QVD generation app to pull both data sources in different script sections
2. Create two reload schedules from the QVD app based on the script section
3. Build the production app using the QVD files
4. Create a task to run every hour to reload the production app
C) 1. Create a QVD generation app for the legacy system only
2. Create a scheduled task to generate the QVD every month
3 Build the production app using the QVD and use ADD LOAD prefix to connect to the online data source
4. Create a task to run every hour to perform a partial reload on the production app
D) 1 Create two QVD generation apps
2- Create two scheduled tasks one runs every month and one runs every hour
3. Load the data in the production app from the QVDs
4. Create a task to run every hour to reload the production app

質問と回答：