Qlik Sense Data Architect Certification (QSDA) 2025 Practice Test

Qlik-Sense-Data-Architect Exam Format | Course Contents | Course Outline | Exam Syllabus | Exam Objectives

Exam Name: Qlik Sense Data Architect Certification
Provider: Pearson VUE (Qlik’s official partner)
Format: Multiple-choice, scenario-based, and hands-on tasks
Duration: ~60 minutes
Passing Score: 70% (may vary slightly)

- Given a set of business objectives, determine KPIs, dimensions or measures
- Given customer requirements, determine an appropriate solution to meet the customer needs (e.g., data, variables, master items, GeoAnalytics, advanced analytics integration)
- Interpret app security requirements
- Given a data set, identify quality issues and potential solutions
- Determine the expected effects of data quality issues
- Given a data set, determine the relationships among data and how the relationships will affect the Qlik Sense data model (e.g., performance, accuracy, scalability)

- Use various methods and explain considerations for connecting to different types of data sources
- Describe the circumstances under which different load strategies should be used (including On-Demand App Generation (ODAG), incremental load
- Explain load techniques and functions relevant to data transformation and filtering
- Understand the data profiling capabilities in Data Manager (e.g., sorting, bucketing, splitting)
- Understand the differences between Data Load Editor and Data Manager and how and when to use each or both for loading data
- Given a scenario, determine how to resolve table association issues (e.g., synthetic keys, circular references)
- Explain the circumstances under which QVD and QVX files and/or n-tiered data architectures should be recommended

- Describe the use and properties of fact tables and dimension tables
- Explain how to resolve complex calendar scenarios
- Explain the use and effects of different types of JOINs, KEEPs and CONCATENATE
- Given business requirements, determine appropriate section access configuration
- Explain the use of control statements and/or variables
- Explain scenarios in which data filtering should be used and how to filter
- Given a script, determine the cause and/or solution for a script error
- Add items to the master library, including set analysis expressions and variables

- Identify and explain the use of Qlik connectors
- Explain how to convert a QlikView document into Qlik Sense app
- Identify scenarios for and how to use calculated dimensions.
- Illustrate how to replace null values in a dataset
- Utilize ETL within the Qlik Sense environment to support a variety of analysis requirements (e.g., building data models, layering of QVDs, incremental loading)
- Explain the purpose and functionality of Qlik Sense troubleshooting tools or functions (e.g., debugger, script log)
- Explain the purpose and functionality of the Data Model Viewer
- Use visualization to validate the data model


I. Qlik Sense Enterprise Architecture and Components (Approx. 15-20%)

- Understanding the Qlik Sense Enterprise on Windows architecture.
- Identifying and describing the function of key components.
- Understanding the communication flow between components.
- Deployment scenarios (single-node, multi-node).
- Scalability considerations.
- Disaster recovery planning concepts.

- Qlik Sense Service Dispatcher (QSD): Entry point for all client and inter-service communication.
- Qlik Sense Engine (QIX): In-memory calculation engine, handles data loading, transformations, and calculations.
- Qlik Sense Repository Service (QRS): Central repository storing configuration data, security rules, and application metadata.
- Qlik Sense Proxy Service (QPS): Handles user authentication, authorization, session management, and load balancing.
- Qlik Sense Scheduler Service (QSS): Manages scheduled reloads of Qlik Sense applications.
- Qlik Sense Printing Service (QPR): Enables printing of Qlik Sense visualizations and reports.
- Shared Persistence: Centralized storage for Qlik Sense configuration and application files in a multi-node environment.
- Central Node: The primary node in a multi-node deployment hosting the QRS and often other services.
- Worker Node: Additional nodes in a multi-node deployment primarily hosting the Engine service for scalability.
- Load Balancing: Distributing user sessions and application processing across multiple Proxy and Engine services.
- High Availability (HA): Configuring the environment to minimize downtime in case of component failures.
- Disaster Recovery (DR): Strategies and procedures for restoring Qlik Sense functionality after a major outage.
- Virtual Proxy: Configuration within the QPS to define authentication methods, session timeouts, and other access parameters for specific user groups or access points.
- License Enabler File (LEF): Contains licensing information for the Qlik Sense environment.

II. Installation and Configuration (Approx. 15-20%)

- Planning and preparing for Qlik Sense Enterprise on Windows installation.
- Performing single-node and multi-node installations.
- Configuring Qlik Sense services.
- Managing Qlik Sense certificates.
- Configuring network settings.
- Initial system setup and verification.

- Prerequisites: Software and hardware requirements for Qlik Sense installation.
- Setup Wizard: Graphical interface for installing Qlik Sense components.
- Custom Setup: Option to select specific Qlik Sense components for installation.
- Service Account: Windows account under which Qlik Sense services run.
- Qlik Management Console (QMC): Web-based administration interface for managing Qlik Sense Enterprise.
- Certificates: Digital files used to secure communication between Qlik Sense components and clients (e.g., SSL/TLS).
- Root CA Certificate: The top-level certificate in a certificate chain.
- Machine Certificate: Certificate specific to a Qlik Sense server.
- Firewall Rules: Network configurations that control inbound and outbound traffic.
- Ports: Network communication endpoints used by Qlik Sense services (e.g., 443, 4747).
- Repository Database: PostgreSQL database used by the QRS to store metadata.
- Shared Network Folder: Central location for storing Qlik Sense applications and other shared resources in a multi-node environment.

III. Security and Access Control (Approx. 20-25%)

- Understanding the Qlik Sense security model.
- Configuring authentication and authorization.
- Managing users and groups.
- Implementing security rules.
- Auditing security-related events.
- Integrating with identity providers (e.g., Active Directory, LDAP, SAML).

- Authentication: Verifying the identity of a user.
- Authorization: Determining what actions a user is allowed to perform.
- Users: Individual accounts that can access Qlik Sense.
- Groups: Collections of users for simplified management of permissions.
- Security Rules: Granular controls that define access to resources (apps, streams, objects) and actions (read, export, publish) based on user attributes, groups, and context.
- Attribute-Based Access Control (ABAC): Security model where access decisions are based on attributes of the user, resource, and environment.
- Sections Access: Mechanism within Qlik Sense applications to control data visibility for different user groups (data reduction).
- Audit Logging: Recording system events, including security-related actions, for monitoring and troubleshooting.
- Identity Provider (IdP): System that manages and authenticates user identities (e.g., Active Directory, Okta).
- Single Sign-On (SSO): Allowing users to log in once and access multiple applications without re-authenticating.
- SAML (Security Assertion Markup Language): An XML-based open standard for exchanging authentication and authorization data between parties, particularly between an identity provider and a service provider.  
- LDAP (Lightweight Directory Access Protocol): A protocol for accessing and maintaining distributed directory information services.  
- Active Directory (AD): Microsoft's directory service used for managing users, groups, and other network objects.
- Claims: Pieces of information about a user that are asserted by an identity provider.

IV. Content Management (Approx. 15-20%)

- Importing and exporting Qlik Sense applications.
- Managing streams and apps within the QMC.
- Publishing and unpublishing applications.
- Managing application reloads and schedules.
- Understanding application lifecycle management.
- Version control concepts for Qlik Sense applications.

- QVF: File extension for Qlik Sense applications.
- Export: Creating a package of a Qlik Sense application (including data and metadata).
- Import: Loading a Qlik Sense application package into the environment.
- Stream: A container in the QMC used to organize and control access to published applications.
- App: A Qlik Sense document containing data connections, data models, and visualizations.
- Publish: Making an application available to authorized users through a specific stream.
- Unpublish: Removing a published application from a stream, making it unavailable to users.
- Reload: The process of refreshing the data in a Qlik Sense application from its data sources.
- Schedule: Configuring automated reloads of Qlik Sense applications at specific times or intervals.
- Task: An object in the QMC that defines a specific operation, such as a reload or an export.
- Chained App Reload: Configuring one app reload to trigger another app reload upon completion.
- Application Lifecycle Management (ALM): Processes and tools used to manage the development, testing, and deployment of Qlik Sense applications.
- Version Control: System for tracking changes to Qlik Sense applications over time.

V. System Monitoring and Troubleshooting (Approx. 15-20%)

- Monitoring the health and performance of Qlik Sense services.
- Reviewing system logs.
- Identifying and resolving common issues.
- Performing basic performance tuning.
- Utilizing monitoring tools within Qlik Sense and external tools.
- Understanding alert mechanisms.

- Qlik Management Console (QMC): Provides monitoring dashboards and log viewers.
- Qlik Sense Monitor: Dedicated application for real-time monitoring of Qlik Sense services.
- Service Status: Indicator of the operational state of each Qlik Sense service.
- System Logs: Records of events and activities within the Qlik Sense environment (e.g., Engine logs, Proxy logs, Repository logs).
- Performance Counters: Metrics that provide insights into system resource utilization (e.g., CPU, memory, disk I/O).
- Troubleshooting: The process of identifying and resolving problems.
- Error Messages: Indications of issues or failures within the system.
- Alerts: Notifications triggered by specific system events or performance thresholds.
- Performance Tuning: Optimizing system configurations and application design to improve responsiveness and efficiency.
- Session Monitoring: Tracking active user sessions and their resource consumption.
- Task Monitoring: Reviewing the status and logs of scheduled and on-demand tasks.

VI. Upgrading and Patching (Approx. 5-10%)

- Understanding the Qlik Sense upgrade process.
- Planning and preparing for upgrades.
- Performing in-place and side-by-side upgrades.
- Applying patches and hotfixes.
- Rolling back upgrades (if necessary).

- In-Place Upgrade: Upgrading the existing Qlik Sense installation to a newer version.
- Side-by-Side Upgrade: Installing a new Qlik Sense environment alongside the existing one and migrating content.
- Patch: A software update that addresses specific issues or vulnerabilities.
- Hotfix: A small, targeted update to address a critical issue.
- Upgrade Checklist: A list of steps to perform before, during, and after an upgrade.
- Backup: Creating copies of Qlik Sense configuration and application files before performing any upgrades or changes.
- Rollback: Reverting the Qlik Sense environment to a previous state.

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Question: 653
Which log file should be consulted to investigate issues related to the Qlik Sense Repository Service?
1. QlikSense.log
2. Repository.log
3. Engine.log
nation: The Repository.log specifically contains entries related to the Qlik Sense Repository e, making it the primary log for investigating related issues.
ion: 654
onsiderations should be taken into account when setting up firewall rules for a multi-node Q eployment?
need for inter-node communication for synchronization. requirement for external user access to application nodes. use of VPNs for secure remote access to Qlik Sense. impact of firewall rules on data load performance.
er: A, B, C
nation: Inter-node communication, external user access, and secured remote access via VPNs considerations. Firewall rules typically do not directly impact data load performance.
ion: 655
the significance of using the AutoNumber() function in Qlik Sense, and in which scenario able?
ssigns a unique numeric identifier to each unique value in a specified field to optimize data mance.
ProxyService.log Answer: B
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3. It simplifies the data model by reducing string comparisons during associations.
4. It generates a sequential number that can be used for sorting and ordering data in visualizations. Answer: A, B, C
Explanation: AutoNumber() creates unique identifiers to optimize performance, can be used for composite keys, and simplifies associations. It does not generate sequential numbers for sorting.
Question: 656
You�ve been tasked with creating a dashboard to visualize sales trends across different regions over time. Which of the following visualizations would best highlight both dimensions?
1. Bar chart
2. Pie chart
3. Line chart
4. Scatter plot Answer: C
nation: A line chart effectively displays trends over time across different dimensions, allowin omparisons between regions.
ion: 657
of the following considerations are important when rolling back a Qlik Sense upgrade? state of the system before the upgrade was initiated
feedback regarding the impact of the rollback changes made to configurations during the upgrade
availability of backup files to restore the previous environment er: A, C, D
nation: The state of the system pre-upgrade, any configuration changes, and the availability o files are critical considerations for a rollback. User feedback is important but secondary to
cal aspects.
ion: 658
onfiguring a task in the QMC for an application that uses data from multiple sources, whic nection should be prioritized to enhance performance during reloads?
ect connections to databases
BC connections with low bandwidth
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Explanation: Direct connections to databases typically provide the best performance during reloads as they minimize latency and maximize throughput.
Question: 659
In what ways can Qlik Sense be deployed in a cloud environment, and what are the implications for
architecture and management?
1. Qlik Sense can be hosted on private cloud infrastructure to maintain control over resources and data security.
2. Public cloud deployments allow for rapid scaling but may introduce concerns about data sovereignty.
3. Hybrid cloud deployments can provide flexibility by combining on-premises resources with cloud capabilities.
4. Cloud deployments eliminate the need for disaster recovery planning since cloud providers handle all backups.
nation: Qlik Sense can be hosted on private clouds, public clouds offer scalability, and hybri ments combine both. However, disaster recovery planning remains essential regardless of cl ment.
ion: 660
logging settings in Qlik Sense can be adjusted to aid in troubleshooting performance issues reasing the verbosity of the Engine log
abling detailed logging for task execution ning off user interaction logging nfiguring log retention periods
er: A, B, D
nation: Increasing verbosity and enabling detailed task execution logging help troubleshoot mance issues, while configuring log retention helps manage log file sizes. Turning off user tion logging may not aid in troubleshooting.
ion: 661
re the essential features of a well-configured Shared Network Folder for Qlik Sense applicat hould allow version control for application updates.
Answer: A, B, C
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2. It must be accessible only by the Qlik Sense services.
3. It should provide an organized structure for easy navigation.
4. It requires regular synchronization with local folders on each node. Answer: A, C
Explanation: Version control and an organized structure are essential for managing applications effectively. Access should not be limited only to services, and synchronization with local folders is not necessary.
Question: 662
When designing a Qlik Sense data model, which type of key should you avoid to prevent performance issues and ambiguity?
1. Composite keys
2. Synthetic keys
3. Primary keys
nation: Synthetic keys can lead to performance issues and data model ambiguity, making the rable in a well-structured data model.
ion: 663
the role of user attributes in defining security rules for access control in Qlik Sense? ey determine which applications a user can access based on their role.
ributes can be used to enforce row-level security in applications.
ey provide a mechanism for grouping users with similar permissions. ributes must be manually updated whenever user roles change.
er: A, B, C
nation: User attributes govern application access and can enforce row-level security. Howeve dynamically updated and do not require manual changes with every role adjustment.
ion: 664
lik Sense environment, how can you manage certificates to ensure secure communication bet es?
nerating self-signed certificates for internal use during initial setup.
nfiguring the Qlik Management Console (QMC) to automatically renew certificates before
Foreign keys Answer: B
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3. Distributing certificates manually to each service to establish trust relationships.
4. Storing certificates in a secure location with restricted access to prevent unauthorized use. Answer: A, C, D
Explanation: Using self-signed certificates, manual distribution, and secure storage are common practices for managing certificates. Automatic renewal is not supported in Qlik Sense.
Question: 665
In Qlik Sense, when defining a data load script with multiple transformations, which function is most effective for combining records from different tables into a single table?
1. JOIN
2. UNION
3. CONCATENATE
4. INNER JOIN
Answer: C
nation: The CONCATENATE function is used to combine records from different tables into able during the data load process, effectively merging the datasets.
ion: 666
eloping a Qlik Sense application, which of the following best describes the relationship betw sions and measures?
asures are always aggregated, while dimensions are not. Both dimensions and measures can be aggregated.
mensions are calculated fields, while measures are static. asures cannot be used in conjunction with dimensions.
er: A
nation: Measures typically represent aggregated values, while dimensions provide the context easures, such as categories or time frames.
ion: 667
omplex data model, if one app reload must trigger another app reload, which command woul he script of the first app to ensure this chaining occurs correctly?
ECUTE ReloadApp('AppID') LL ReloadApp('AppID')
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4. TRIGGER ReloadApp('AppID') Answer: B
Explanation: The CALL ReloadApp('AppID') command is used to trigger the reload of another application from within the script of the first application.
Question: 668
What is the role of logging in maintaining security within a Qlik Sense deployment?
1. It helps in tracking user activity and access patterns
2. Logging is unnecessary if security rules are strict enough
3. It assists in identifying potential security breaches or anomalies
4. Regular log reviews can improve overall application performance Answer: A, C
ion: 669
onfigurations should be made to the Qlik Sense Proxy Service (QPS) to optimize user tication and session management?
ting up multiple authentication methods to accommodate different user needs. nfiguring session timeout settings to balance security and user convenience. plementing IP restrictions to limit access to specific geographic locations. abling logging for authentication attempts to monitor and secure access.
er: A, B, D
nation: Configuring multiple authentication methods, session timeouts, and logging attempts al for optimizing QPS. IP restrictions may improve security but can impede legitimate users
ion: 670
an organizations effectively manage permissions for temporary users in Qlik Sense? ating temporary user accounts with limited access
plementing automatic expiration for temporary accounts owing temporary users full access to facilitate collaboration
gularly reviewing and adjusting temporary permissions as needed
Explanation: Logging is vital for tracking activities and identifying breaches. It is not unnecessary, and while regular reviews are essential, they do not directly improve performance.
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Answer: A, B, D
Explanation: Creating temporary accounts, implementing expiration, and regularly reviewing permissions are effective strategies. Allowing full access poses significant security risks.
Question: 671
What are the advantages of implementing a disaster recovery strategy for Qlik Sense deployments?
1. Ensures business continuity in the event of hardware failures or other disruptions.
2. Reduces the risk of data loss by maintaining current backups of application data and metadata.
3. Improves performance by allowing for quick failover to a secondary site.
4. Provides a structured response plan that minimizes downtime and operational impact. Answer: A, B, D
Explanation: Disaster recovery strategies are vital for ensuring continuity, reducing data loss, and providing structured responses to minimize downtime. They do not inherently improve performance.
Question: 672
arge datasets are involved?
ng incremental load strategies
nimizing the use of calculated dimensions ducing the number of connected data sources
reasing the number of data transformations in the load script er: A, B
nation: Using incremental load strategies reduces the dataset during each reload, and minimiz ated dimensions can enhance performance. Reducing data sources is not always feasible, and sing transformations can complicate performance.
ion: 673
re the implications of using the Qlik Sense Repository Database (QVR) for version control?
ows integrated logging of application changes for audits. vides automatic backup of all published applications.
mits the potential for rollbacks due to the complexity of the database structure. ers a method for reverting to previous application versions effectively.
er: A,C,D
nation: The QVR allows logging of application changes, can complicate rollbacks due to its re, and offers methods for reverting versions effectively. However, it does not automatically
Which of the following is a common performance tuning practice in Qlik Sense applications, particularly when l
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Question: 674
When setting up Shared Persistence in a Qlik Sense environment, which of the following configurations should be prioritized to ensure reliability and performance?
1. Utilizing a high availability storage solution to prevent data loss.
2. Configuring regular backups of persistent data to a remote location.
3. Ensuring high-speed connectivity between nodes and the shared storage system.
4. Implementing a single point of access for all nodes to reduce complexity. Answer: A, B, C
Explanation: High availability storage, regular backups, and high-speed connectivity are essential for reliability and performance. A single point of access can introduce risks and complexities.

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