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Exam Name: Qlik Sense Data Architect Certification

Provider: Pearson VUE (Qliks 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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