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Last Updated: Sep 01, 2025

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Qlik Sense Data Architect Certification Exam - June 2018 Release Sample Questions:

1. 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. Load the Products table as the first table
2. Create a new field in the OrderDetails table: Quantity * isNull (unitcost) as cogs
B) 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
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


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) Case
B) Switch
C) Replace
D) ApplyMap


3. 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 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
B) 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
C) 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
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


4. Refer to the exhibits



Which corrective action should be taken to achieve the expected view?

A) Use distinct in the LOAD statement.
B) Add a link table.
C) Use upper () to align the Salesperson fields
D) Alias one of the fields in the Orders table.


5.
A business analyst must see a currency conversion rate for any given date in a chart The currency conversion rate data is held in a separate table in the database and only contains a record when the rate changes. An existing master calendar exists in the data model that contains a full set of dates Which technique should the data architect use to meet this requirement?
A business analyst must see a currency conversion rate for any given date in a chart The currency conversion rate data is held in a separate table in the database and only contains a record when the rate changes. An existing master calendar exists in the data model that contains a full set of dates.
Which technique should the data architect use to meet this requirement?

A) * Join the calendar with the currency conversion table
* Order by the date and use the Peek function to fill in blank values
B) * Use IntervalMatch to load the currency conversion rate between dates the conversion changed
* Inner Join the resultant table back into the master calendar
C) * Use IterNo and autogenerate to create a new calendar from max and min dates of the currency conversion table
* Force concatenate with the master calendar
D) * Use a For loop between the start date and end date of the master calendar
* Use the Match function to add the currency conversion rates to the master calendar


Solutions:

Question # 1
Answer: C
Question # 2
Answer: D
Question # 3
Answer: D
Question # 4
Answer: D
Question # 5
Answer: A

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