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Qlik QSDA2018 Exam Syllabus Topics:

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

1. A data architect uses the Qlik GeoAnalytics connector to determine the closest airports to cities in an existing app. The built-in location servicetjenerates data for the airport locations The data load editor runs the script and sees a circular reference and a synthetic key How should the data architect fix these issues'?

A) When selecting an operation in the Qlik GeoAnalytics connector, select Only load distinct .
B) Concatenate the airport table and the existing tables into one master table.
C) When choosing which data to load, uncheck the non-unique field in the new data tables.
D) When selecting an operation in the Qlik GeoAnalytics connector, change the CRS to 'None".

2. Refer to the exhibit.

One of the data sources a data architect must add for a newly developed app is an Excel spreadsheet The Region field only has values for the first record for the region. The data architect must perform a transformation so that each row contains the correct Region.
Which function should the data architect implement to resolve this issue?

A) Above
B) IntervalMatch
C) Previous
D) CrossTable

3. The dates are stored as strings in the database. The data architect must convert the dates to date format The reload must be as fast as possible.
Which script should the data architect use?
A)

B)

C)

D)

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

4. Refer to the exhibit.

The data architect is using section access to meet the security requirements of an app After the first draft, the data architect discovers that users can NOT see the right subset of data Which solution should a data architect use to fix this issue?

A) Associate the Section Access table with the data model
B) Capitalize field names and values
C) Name the field for data reduced as SectionAccess'
D) Capitalize only field values

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 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
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 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

Solutions: