Qlik QSDA2018 Q&A - in .pdf
- Exam Code: QSDA2018
- Exam Name: Qlik Sense Data Architect Certification Exam - June 2018 Release
- Updated: Sep 14, 2026
- Q & A: 52 Questions and Answers
- PDF Price: $59.99
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Qlik QSDA2018 Q&A - Testing Engine
- Exam Code: QSDA2018
- Exam Name: Qlik Sense Data Architect Certification Exam - June 2018 Release
- Updated: Sep 14, 2026
- Q & A: 52 Questions and Answers
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Qlik QSDA2018 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Performance Optimization and Validation | 10% | - Monitoring and improving application performance - Optimizing data model and script performance - Validating data integrity and consistency |
| Security and Governance | 15% | - Section Access and data security - Data governance best practices - Application and stream security |
| Scripting and Data Load Editor | 25% | - Debugging and troubleshooting scripts - Variables, functions, and expressions - Managing data load scripts - Script syntax and control statements |
| Qlik Sense Architecture and Data Connections | 20% | - Qlik Sense platform architecture - Data connectivity (files, databases, web sources, APIs) - Managing connections and data sources |
| Data Modeling and Transformation | 30% | - Data transformation, cleansing, and enrichment - Resolving synthetic keys and circular references - Using QVD files and incremental loading - Designing efficient data models |
Qlik Sense Data Architect Certification Exam - June 2018 Release Sample Questions:
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 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 - 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
Correct Answer: C 🗳️
Refer lo the exhibit.
A data architect loads order data for a global sales organization. The Order Details contains 100 million rows.
The data architect must load only the data for the North America division Which WHERE clause should the data architect use in the Order Details LOAD script?
- A. WHERE Division = 'North America';
- B. WHERE Exists('North America');
- C. WHERE OrderNum = [Order Header].[OrderNum";
- D. WHERE Exists{OrderNum);
Correct Answer: D 🗳️
Sales managers need to see an overview of historical performance and highlight the current year's metrics App requirements:
* Display the current year's total sales
* Total sales displayed must respond to the user's selections
Which variables should a data architect create to meet these requirements?
A)
B)
C)
D)
- A. Option C
- B. Option D
- C. Option B
- D. Option A
Correct Answer: D 🗳️
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. Link tables are created
- B. A circular reference occurs
- C. An auto concatenation occurs
- D. Synthetic keys are created
Correct Answer: D 🗳️
Refer to the exhibits
Business analysts report data issues in the Value field of a table since the latest reload of the data What is causrng this issue?
- A. Hyphen characters (' -') in the source data
- B. Some categories do NOT exist in the Category table
- C. Pre-aggregated data is being used
- D. Null values in the source data
Correct Answer: D 🗳️
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