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

1. A data architect needs to develop three separate apps (Sales, Finance, and Operations). The three apps share numerous identical calculation expressions.
The data architect wants to reduce duplicate script, save time on expression modifications, and increase reusable Qlik developer assets.
The data architect creates a common script and stores it on a file server that Qlik Sense can access.
How should the data architect complete the requirements'?

A) Call batch file
B) Macro on server
C) Include script function
D) Execute server script

2. Refer to the exhibit.

Each order can-have multiple products The data architect needs to make sure the Amount can be analyzed by Order Type and Product Category.
The Order Number field data always contains the Order Type in the first three characters Product. Product Category, and Sales Channel data are available in an Excel spreadsheet called "Categories" in the file PaperProducts xlsx.
Which two ways can the data architect use to make additions to the existing script and meet the requirements?
(Choose two.)
A)

B)

C)

D)

A) Option A
B) Option D
C) Option C
D) Option B

3. Refer to the exhibit.

A data architect has two tables that contain Sales and Target data for employees. The tables are loaded into Qlik Sense and are associated by EmployeelD.
The data architect creates a bar chart of total Sales vs. Target. The architect notices some values for Target are too high, and employees with NO sales should be excluded Which function should the data architecwise to resolve these issues?

A) Left Keep
B) Outer Join
C) Left Join
D) Inner Join

4. 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 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
B) 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
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 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

5. Refer to the exhibit.

An existing app on Qlik Sense Enterprise is duplicated and transferred to a data architect to add some additional data When trying to manually reload the original script, the data architect receives an error.
What should be done to make sure the script runs correctly?

A) Make the data architect the owner of the app in the QMC.
B) Add the line lib connect to ' sql (abc_qservice) *; before the LOAD for the OrderDetail table
C) Add the line lib connect to ' ovd (abc_qservice/0EderData. qvd)'; before the LOAD for the OrderData table
D) Give the data architect the Read rights on the data connections in the QMC.

Solutions: