100+ Free QCAD Practice Questions

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Question 1

Score: 0/0

Which Qlik script keyword loads data from the currently loaded in-memory tables?

LOAD ... RESIDENT

LOAD ... INLINE

LOAD ... FROM

SQL SELECT

to track

2026 Statistics

Key Facts: QCAD Exam

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

Qlik Learning

Cloud+Client

Platform Scope

Qlik Learning

As of April 15, 2026, Qlik's current Data Analytics Developer / Data Architect exam is a 50-question, 120-minute online proctored exam with a 62% passing score on the Qlik Learning platform. Published domain weights are Data Transformations (38%), Data Model Design (28%), Identify Requirements (20%), Data Connectivity (8%), and Validation (6%). Standard price is $250 USD. The scope spans Qlik Cloud and client-managed deployments, with heavy emphasis on the Data Load Editor, QVDs, and resolving data modeling issues like synthetic keys and circular references.

Sample QCAD Practice Questions

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

1Which Qlik script keyword loads data from the currently loaded in-memory tables?

A.LOAD ... RESIDENT

B.LOAD ... INLINE

C.LOAD ... FROM

D.SQL SELECT

Explanation: RESIDENT loads from an already-loaded table in memory. It is the standard way to derive a new table from an existing table without re-reading the source.

2Which Qlik script construct produces a mapping lookup used by APPLYMAP?

A.MAPPING LOAD

B.JOIN

C.CONCATENATE

D.CROSSTABLE

Explanation: MAPPING LOAD creates a two-column lookup table available only for APPLYMAP and ApplyMap functions in subsequent LOAD statements. It is the memory-efficient way to enrich data.

3In Qlik's data model, what is a SYNTHETIC KEY?

A.Qlik's auto-generated composite key created when two or more tables share more than one common field

B.A primary key defined in the source

C.A table created by CONCATENATE

D.A user-selected field

Explanation: When two tables share multiple field names, Qlik auto-creates a synthetic key ($Syn) composed of those fields. It usually signals a data model problem that should be resolved with renaming, composite keys, or a link table.

4Which data model issue happens when the join path between tables can be traversed in more than one way?

A.Circular reference

B.Synthetic key

C.Incremental load

D.Direct Discovery

Explanation: A circular reference exists when multiple join paths form a loop in the model. Qlik marks some tables as loosely coupled to break the loop, but the model usually needs explicit redesign.

5A developer wants to enrich orders with the customer's region using a mapping table. Which pattern is the MOST memory-efficient?

A.MAPPING LOAD of CustomerID -> Region, then ApplyMap() in the Orders LOAD

B.LEFT JOIN (Orders) LOAD from Customers

C.Load both tables and let Qlik associate

D.Store both tables in separate apps

Explanation: MAPPING LOAD + ApplyMap enriches Orders with the region column without expanding the row count and without keeping the Customer table in memory. JOIN keeps all customer columns and can bloat.

6Which Qlik script statement APPENDS the rows of one table to another when both have the same field structure?

A.CONCATENATE

B.OUTER JOIN

C.INNER JOIN

D.CROSSTABLE

Explanation: CONCATENATE appends rows. When explicit, Qlik creates a single table with the union of columns and rows. JOINs combine matching rows on keys instead.

7What is a QVD file?

A.Qlik's native, highly compressed, single-table data file optimised for fast reload

B.A type of visualisation

C.A data model diagram

D.A security rule

Explanation: QVDs are Qlik's binary format for one table. They compress well and load fast (especially in optimised mode when no row-level transformations apply), which is why they are the staple of the QVD layer pattern.

8Which condition allows a QVD load to run in OPTIMISED mode?

A.LOAD * FROM qvd with no row-level transformations, filters via WHERE EXISTS on a single field, and no new calculated fields

B.Any LOAD from QVD

C.Only LOAD with WHERE clauses on multiple fields

D.Only LOAD with RESIDENT

Explanation: Optimised QVD load avoids row-level processing: select all columns, no calculated columns, only a single WHERE EXISTS filter condition on one field, no data type conversions. Break any of these and Qlik falls back to unoptimised.

9A fact table is reloaded daily but only new rows (ModifiedDate > last reload) come from source. Which pattern applies?

A.Incremental load: concatenate new rows from source with existing QVD, store back to QVD

B.Full reload every time

C.Direct Discovery

D.Section Access

Explanation: Incremental loads read only new/changed rows from source, then CONCATENATE them with the existing QVD (optionally deduplicating). The final table is stored back to the QVD, keeping reload windows short.

10Which script construct unpivots a wide monthly table (Jan, Feb, Mar...) into a tall (Month, Value) layout?

A.CROSSTABLE

B.PIVOT

C.JOIN

D.APPLYMAP

Explanation: CROSSTABLE transforms cross-table (wide) structure into a row-per-month long structure. It is the canonical Qlik unpivot operation done at load time.

About the QCAD Exam

The Qlik Cloud Analytics Developer certification (also marketed as the Qlik Data Analytics Developer / Data Architect track) validates that you can build the data layer that powers Qlik apps in Qlik Cloud and client-managed Qlik Sense. It focuses on script development, data modeling, connectors, QVD strategy, and validation, so a certified developer can produce clean, performant, reusable data models for business analysts.

Assessment

50 multiple-choice questions

Time Limit

120 minutes

Passing Score

62%

Exam Fee

$250 USD (Qlik)

QCAD Exam Content Outline

38%

Data Transformations

Script development in the Data Load Editor: LOAD, RESIDENT, CROSSTABLE, MAPPING, APPLYMAP, JOIN, CONCATENATE, KEEP, incremental loads, and variables.

28%

Data Model Design

Star and snowflake design, link tables, concatenated fact tables, synthetic keys, circular references, and when to use each pattern.

20%

Identify Requirements

Translate business questions into a data model: grain, dimensions, measures, calendar design, and what the analyst will ask of the model.

Data Connectivity

Qlik connectors, REST, database, file, SaaS, and data flow from source system through QVD layer into application.

Validation

Validate row counts, key integrity, measure totals, and data quality before publishing an app to users.

How to Pass the QCAD 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

QCAD Study Tips from Top Performers

1Write LOAD scripts from scratch — muscle memory on LOAD, RESIDENT, CONCATENATE, JOIN, KEEP is critical.

2Know when APPLYMAP beats JOIN and why it usually wins on performance.

3Spot synthetic keys and circular references from scenario wording and know how to fix them.

4Build a reusable calendar with CROSSTABLE / master calendar patterns — it appears frequently.

5Know when to store QVDs, how incremental loads work, and the difference between optimized and unoptimized QVD loads.

6Practice identifying the grain of a fact table from a business question.

Frequently Asked Questions

Is the Cloud Analytics Developer exam the same as the Qlik Sense Data Architect exam?

Yes, the Qlik Cloud Analytics Developer certification is the modernized Data Analytics Developer track that traces back to the Qlik Sense Data Architect (QSDA) exam. The exam specification remains a 50-question, 120-minute, 62% passing exam, and the published domain weights (Data Transformations 38%, Data Model Design 28%, Identify Requirements 20%, Data Connectivity 8%, Validation 6%) are the current Data Architect blueprint.

What is the passing score for the Qlik Cloud Analytics Developer exam?

The published passing score is 62%. Qlik reserves the right to adjust scaled scoring to keep standards consistent, so plan to hit 75% or higher on timed practice sets before scheduling.

What domains does the Cloud Analytics Developer exam test?

Five domains are published: Data Transformations (38%), Data Model Design (28%), Identify Requirements (20%), Data Connectivity (8%), and Validation (6%). Nearly two thirds of the exam is transformation and modeling, so Data Load Editor fluency and star schema thinking are the highest-leverage prep areas.

Does the exam cover Qlik Cloud or client-managed Qlik Sense?

Content is largely platform-neutral. Script syntax, data modeling patterns, and validation techniques behave the same in Qlik Cloud and client-managed Qlik Sense Enterprise. Connector-specific wording can reference Qlik Cloud data sources (REST, SaaS connectors) as well as classic on-premises databases.

How much does the exam cost?

The standard Qlik certification exam price is $250 USD on buy-learning.qlik.com. Qlik Continuous Classroom subscribers and paid instructor-led training customers often receive a free exam voucher.

How long should I study?

Most candidates with 6 to 12 months of Qlik development experience need 40 to 60 focused study hours over 4 to 8 weeks. Plan heavy time on the Data Load Editor: LOAD, RESIDENT, CROSSTABLE, MAPPING, APPLYMAP, JOIN, CONCATENATE, KEEP, and incremental-load patterns.