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100+ Free QSDA Practice Questions

Pass your Qlik Sense Data Architect Certification (QSDA2024) exam on the first try — instant access, no signup required.

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What is the role of the SUBSET RATIO statistic in the Data Model Viewer?

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2026 Statistics

Key Facts: QSDA Exam

50

Questions

Qlik Learning

120 min

Time Limit

Qlik Learning

62%

Passing Score

Qlik Learning

$250

Exam Fee

buy-learning.qlik.com

5 domains

Content Areas

QSDA2024 blueprint

Online

Proctored Delivery

Qlik Learning Platform

As of May 9, 2026, Qlik's current QSDA2024 exam is a 50-question, 120-minute proctored multiple-choice exam with a 62% passing score delivered on the Qlik Learning platform. The published domain weights are Identify Requirements (20%), Data Connectivity (8%), Data Model Design (28%), Data Transformations (38%), and Validation (6%). Pricing is $250 per exam; Qlik occasionally runs free certification offers and includes vouchers in paid training bundles. Always confirm the current fee on buy-learning.qlik.com before scheduling.

Sample QSDA Practice Questions

Try these sample questions to test your QSDA exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 100+ question experience with AI tutoring.

1A QVD reload finishes in 2 seconds for 10 million rows from a 'Sales.qvd' file using 'LOAD * FROM Sales.qvd (qvd);'. What term describes this load?
A.Optimized QVD load
B.Unoptimized QVD load
C.Buffered QVD load
D.Resident QVD load
Explanation: An optimized QVD load happens when Qlik reads a QVD file directly into memory without applying transformations. Using 'LOAD * FROM file.qvd (qvd);' with no WHERE clause, no calculated fields, and no renaming triggers optimized mode, which is roughly 10x faster than unoptimized.
2In a Qlik Sense data model, the system field $Syn1 appears. What does this indicate?
A.A synthetic key has been created because two or more tables share more than one common field
B.A circular reference has been detected and one link is loosely coupled
C.A subset ratio mismatch in a key field
D.A loosely coupled table created with the QUALIFY statement
Explanation: Qlik creates synthetic keys ($Syn) when two tables share more than one field with the same name. The engine builds a hidden composite key table to link them. Synthetic keys are usually a sign of a modeling problem and should be resolved by qualifying, renaming, or concatenating the tables.
3What is the recommended data model pattern in Qlik Sense for performance?
A.Star schema
B.Snowflake schema
C.Single flat table
D.Circular reference
Explanation: Qlik Sense's associative engine performs best with a star schema: one central fact table linked to denormalized dimension tables by single key fields. This minimizes table joins, reduces synthetic-key risk, and keeps RAM usage predictable for large datasets.
4Which function returns the value of a field in a previously loaded record during a sequential LOAD?
A.Peek()
B.Previous()
C.Lookup()
D.Exists()
Explanation: Previous() returns the value of an expression evaluated against the prior input record while a LOAD is still reading the source. It is commonly used for delta calculations, running totals, and detecting changes between consecutive rows.
5A data architect needs to apply row-level security so each user only sees their own region. Which Qlik feature should they use?
A.Section Access with USERID and a reduction field
B.A user filter object on the sheet
C.Conditional show on master measures
D.A bookmark assigned to each user
Explanation: Section Access is Qlik Sense's built-in row-level security mechanism. It loads an authorization table during reload, matches USERID (or NTNAME/USER.NAME) to data values, and reduces the data each user can see based on the reduction field, such as REGION or COUNTRY.
6What is the correct syntax to create a mapping table named CountryMap and apply it to a Country field with a fallback of 'Unknown'?
A.MAPPING LOAD ... ; APPLYMAP('CountryMap', Country, 'Unknown') AS CountryName
B.MAP LOAD ... ; LOOKUP('CountryMap', Country, 'Unknown')
C.MAPPING LOAD ... ; MAP Country USING CountryMap
D.JOIN LOAD ... ; APPLYMAP(CountryMap, Country)
Explanation: A mapping table is created with the MAPPING LOAD prefix and must contain exactly two columns. ApplyMap('CountryMap', Country, 'Unknown') replaces the Country value with the mapped name, returning 'Unknown' when no match is found.
7In a Qlik Sense incremental load pattern, which sequence is correct for refreshing a sales QVD with only new and changed records?
A.Load max(ModifiedDate) from QVD into a variable, load new/changed rows from source where ModifiedDate >= variable, concatenate with QVD, drop deleted rows, store back to QVD
B.Load all source rows, concatenate them with the QVD, and store back
C.Drop the QVD, reload all source data, and recreate the QVD
D.Load the QVD as RESIDENT, append source data, and reload daily
Explanation: The standard incremental load pattern reads max(ModifiedDate) from the existing QVD as the watermark, loads only new and changed source rows where ModifiedDate >= the watermark, concatenates with the historical QVD using a Where Not Exists or full inner exclusion to handle updates, then stores the merged set back to the QVD.
8Which prefix is used to compare a transactional date range with a dimension date range, such as assigning a Sales date to its FX-rate validity window?
A.IntervalMatch
B.Hierarchy
C.Generic
D.Crosstable
Explanation: IntervalMatch links a discrete value (such as a transaction date) to a range of values (such as a from/to validity period). It is the canonical Qlik pattern for slowly-changing dimensions, FX rates, and price-list versioning.
9A wide CSV has columns Year2023, Year2024, Year2025 with sales values. Which load prefix unpivots them into a Year/Sales pair?
A.Crosstable
B.Generic
C.Hierarchy
D.IntervalMatch
Explanation: The Crosstable prefix unpivots wide columns into long key/value rows. Crosstable(Year, Sales) before LOAD melts Year2023, Year2024, Year2025 into a single Year column and a single Sales column, producing one row per year per dimension key.
10What does the Resident keyword do in a Qlik Sense LOAD statement?
A.Loads from a previously loaded table in the data model
B.Loads from a QVD file with optimization
C.Loads from an active database connection
D.Loads inline literal data
Explanation: Resident loads read from a table already loaded into the Qlik data model in the same script run. They are commonly used to create aggregated tables, link tables, or transformations on data that has been pulled from source.

About the QSDA Exam

The Qlik Sense Data Architect Certification (QSDA2024) validates that you can design data connectivity, build governed Qlik Sense data models, and write production-grade load scripts. The exam is platform-neutral so it targets both Qlik Cloud and client-managed deployments, and it focuses on how architects translate stakeholder needs into star schemas, link tables, QVD layers, incremental loads, and Section Access reduction.

Assessment

50 multiple-choice questions

Time Limit

120 minutes

Passing Score

62%

Exam Fee

$250 USD (Qlik)

QSDA Exam Content Outline

20%

Identify Requirements

Translate business and security requirements into Qlik Sense data architecture: stakeholder roles, KPIs, dimensions, and Section Access reduction strategy on Qlik Cloud and client-managed deployments.

8%

Data Connectivity

Select data sources and connection strategies: ODBC and native database connectors, REST connector for APIs, lib:// managed connections, Qlik Cloud data files, and file connections including web files.

28%

Data Model Design

Design star schemas (preferred), evaluate snowflake and concatenated-fact patterns, resolve synthetic keys and circular references with link tables, qualify/unqualify, and AutoNumber composite keys; manage memory, cardinality, and the associative engine.

38%

Data Transformations

Author load scripts that handle optimized and unoptimized QVD loads, incremental load patterns, mapping tables with ApplyMap, IntervalMatch, Hierarchy, HierarchyBelongsTo, Generic, Crosstable, set analysis, variables and dollar-sign expansion, master calendar derivation, and tiered Extract-Transform-Load architectures.

6%

Validation

Validate scripts and reconcile data: Data Model Viewer for synthetic keys and subset ratios, source-system reconciliation by record count and aggregate sums, orphan-key checks, and Section Access user-by-user verification.

How to Pass the QSDA Exam

What You Need to Know

  • Passing score: 62%
  • Assessment: 50 multiple-choice questions
  • Time limit: 120 minutes
  • Exam fee: $250 USD

Keys to Passing

  • Complete 500+ practice questions
  • Score 80%+ consistently before scheduling
  • Focus on highest-weighted sections
  • Use our AI tutor for tough concepts

QSDA Study Tips from Top Performers

1Memorize what keeps a QVD load optimized: a direct file read with no transformations and only a single-field Exists() WHERE clause.
2Practice the canonical incremental load pattern: max(ModifiedDate) watermark, delta pull, Where Not Exists merge, store back.
3Build at least one tiered architecture (Extract -> Transform -> Front-end) end to end so QVD layering feels natural.
4Diagnose synthetic keys, circular references, and orphan keys in the Data Model Viewer until the fixes (rename, qualify, link table, composite key) feel automatic.
5Set up Section Access with USERID, ACCESS (ADMIN/USER), and a reduction field; remember INTERNAL\\SA_SCHEDULER for unattended reloads.
6Drill set analysis with variables and dollar-sign expansion: Sum({<Year={$(=Max(Year)-1)}>} Sales) should feel automatic.

Frequently Asked Questions

How many questions are on the Qlik Sense Data Architect exam?

Qlik's current QSDA2024 exam details page lists 50 multiple-choice questions in a 120-minute window. The exam is proctored online through the Qlik Learning platform (Pearson VUE delivery ended April 30, 2025) so candidates need a quiet room, a webcam, and a clean desk during testing.

What score do you need to pass the QSDA exam?

The published passing score is 62%. Qlik notes that the passing score can be adjusted to keep the standard consistent as the question bank evolves, so preparation should target consistent 75%+ scores on timed practice so you have buffer above the cut score on exam day.

What are the QSDA2024 domain weights?

Qlik publishes five QSDA domains: Identify Requirements (20%), Data Connectivity (8%), Data Model Design (28%), Data Transformations (38%), and Validation (6%). Roughly two thirds of the exam tests data modeling and transformation script authoring, so most prep time should land on QVDs, incremental loads, mapping, IntervalMatch, and synthetic-key resolution.

Is QSDA for Qlik Cloud or client-managed Qlik Sense?

The Data Architect exam is platform-neutral. Questions target skills that work in both Qlik Cloud and Qlik Sense Enterprise on Windows (client-managed). Scenario wording usually avoids deployment-specific UI details and focuses on script-level concepts like lib:// connections, QVDs, Section Access, and the associative engine.

How much does the QSDA exam cost?

The standard Qlik certification exam price is $250 USD, purchased through buy-learning.qlik.com. Candidates enrolled in Qlik Continuous Classroom or paid instructor-led Qlik training often receive a free exam voucher, and Qlik periodically runs time-limited free certification offers that include QSDA.

How long should I study for the QSDA exam?

Most candidates with hands-on Qlik Sense scripting experience need about 40 to 70 study hours spread over 4 to 8 weeks. Plan time to build at least one tiered Extract-Transform app from scratch, practice incremental QVD loads, and walk through synthetic-key and circular-reference fixes in the Data Model Viewer because those topics show up repeatedly on exam-style questions.