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Updated: Sep 14, 2026

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Qlik QSDA2018 Exam Overview:

Certification Vendor:Qlik
Exam Name:Qlik Sense Data Architect Certification Exam - June 2018 Release
Exam Number:QSDA2018
Available Languages:English
Exam Duration:120 minutes
Certificate Validity Period:2 years
Real Exam Qty:50
Passing Score:58%
Exam Format:Multiple choice, Multiple response, Scenario-based
Related Certifications:Qlik Sense System Administrator
Qlik Sense Business Analyst
Exam Price:USD 250
Recommended Training:Qlik Sense Data Architect Training
Exam Registration:Pearson VUE Registration
Qlik Official Certification Page
Sample Questions:Qlik QSDA2018 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:No mandatory prerequisites; Qlik recommends hands-on experience with Qlik Sense and completion of related training courses
Official Syllabus URL:https://www.qlik.com/us/services/training/certification

Qlik QSDA2018 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Modeling and Transformation30%- Using QVD files and incremental loading
- Resolving synthetic keys and circular references
- Data transformation, cleansing, and enrichment
- Designing efficient data models
Topic 2: Qlik Sense Architecture and Data Connections20%- Managing connections and data sources
- Qlik Sense platform architecture
- Data connectivity (files, databases, web sources, APIs)
Topic 3: Security and Governance15%- Data governance best practices
- Application and stream security
- Section Access and data security
Topic 4: Scripting and Data Load Editor25%- Managing data load scripts
- Script syntax and control statements
- Debugging and troubleshooting scripts
- Variables, functions, and expressions
Topic 5: Performance Optimization and Validation10%- Optimizing data model and script performance
- Monitoring and improving application performance
- Validating data integrity and consistency

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

Question #1

A healthcare organization needs an app to track patient encounters, patient lab orders, and patient medications.
* Encounters, lab orders, and medication data are maintained in three separate tables linked by PatientID
* PatientID values in all three tables are completely accurate
* Patients may have encounters without lab orders or medications
The data architect needs to make sure that the count of patient lab orders is correct. Which method should the data architect to meet this requirement?

  • A. Load all three tables and use Count{Distinct PatientID)
  • B. Load all three tables, create a copy of PatientID in the lab orders table as LabPatientID, and use Count(Distinct LabPatientID)
  • C. Load all three tables, create a copy of PatientID in the lab orders table as LabPatientID, and use Count(LabPatientlD)
  • D. Load all three tables and use Count(PatientlD)
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #2

Stock levels are stored online in a system that keeps information for the current period only.
What should the data architect do to enable analysis of the trends of the stock levels?

  • A. for each period and use a binary load task to create a single app
  • B. Create an app for each period as it changes and use document chaining Create an app
  • C. Use On-Demand App Generation (ODAG) to create new apps from the selected period
  • D. Capture the periodic information in an incremental QVD file for use in an app
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #3

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 B
  • C. Option D
  • D. Option C
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #4

An enterprise data warehouse contains 700 million records. This enterprise data warehouse has a three-tiered architecture and uses QVDs The Qhk Sense server contains 24 GB RAM and contains two processors with eight cores The company needs to allow vendors to access a Qlik Sense app anonymously to review past business transactions and current year-to-date performance.
Which method should the data architect use to meet this requirement?

  • A. Build a Direct Discovery app that enables users to view their individual content using Section Access
  • B. Build an On-Demand Application Generation template app and a selection app, and require vendors to log into Qlik Sense to view the app.
  • C. Build a Direct Discovery app that enables users to view their individual content using dynamic QVDs
  • D. Build an On-Demand Application Generation template app and a selection app, and allow vendors to access anonymously
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #5

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 A
  • B. Option B
  • C. Option D
  • D. Option C
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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