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Good QSDA2024 Guides for Earning Qlik Sense Data Architect Certification 2024

Sep 12,2024

The Qlik Sense Data Architect Certification is for professionals looking to validate their skills in designing, building, and managing data models within the Qlik Sense environment. This certification is ideal for data architects who want to prove their ability to create scalable and efficient data models in Qlik Sense, both on client-managed and SaaS platforms. To earn Qlik Sense Data Architect Certification, QSDA2024 real exam questions from Testpassport are the best preparation material for you to pass.

Good QSDA2024 Guides for Earning Qlik Sense Data Architect Certification 2024

Qlik Sense Data Architect Certification QSDA2024 Exam Overview

The Qlik Sense Data Architect Certification QSDA2024 exam measures your ability to identify requirements for data models, design and build data models, and validate the data. The QSDA2024 exam is platform-neutral, meaning the content applies to both client-managed and SaaS editions of Qlik Sense. It consists of 50 multiple-choice questions that candidates must answer in 2 hours. The cost of the exam is $250, and it is available only in English.

Prerequisites for the Qlik Sense Data Architect Certification

Before attempting the Qlik Sense Data Architect Certification exam, candidates should possess the following skills and experience:

Practical Experience: Developing multiple production-quality applications in Qlik Sense. 

Scripting Knowledge: Ability to write Qlik Sense LOAD scripts and validate data. 

ETL Understanding: Basic knowledge of Extract-Transform-Load (ETL) processes. 

Connector Usage: Ability to create and use connectors to various data sources. 

QVD Layer and Architecture Knowledge: Understanding of the QVD layer and the architecture of the Qlik platform. 

Data Architecture Skills: Ability to architect data models to provide optimal performance. 

SQL and Relational Database Familiarity: Competence in SQL and relational databases.

QSDA2024 Exam Topics

The Qlik Sense Data Architect Certification QSDA2024 exam covers various topics critical to data architecture. Below is a breakdown of the exam content and topics:

Identify Requirements (20%)

Determine primary requirements with business users.

Choose stakeholders in different scenarios.

Determine metrics, levels of granularity, and aggregation.

Understand dimensionality needs, including support for slowly changing dimensions.

Determine the appropriate level of security for a given scenario.

Data Connectivity (8%)

Identify data sources and connectors needed for a given scenario.

Choose the appropriate method to create connections for data sources.

Data Model Design (28%)

Determine measures and attributes from each data source in a scenario.

Identify the appropriate type of data model for a given use case.

Optimize data models for Qlik Sense.

Implement data structures efficiently.

Data Transformations (38%)

Build data content based on specific requirements.

Handle null and blank data appropriately to support filtering.

Document Data Load scripts accurately.

Implement date handling techniques.

Organize and cleanse scripts effectively.

Build scripts for incremental loading in the extract layer.

Validation (6%)

Validate and test scripts based on a given scenario.

Validate and test data to ensure accuracy.

Qlik Sense Data Architect SaaS Endorsement

The Qlik Sense Data Architect SaaS Endorsement is designed to complement the Qlik Sense Data Architect Certification for both 2022 and 2024 versions. This endorsement validates the candidate's skills in the SaaS-specific capabilities of Qlik Sense that are required in the role of a data architect. The SaaS endorsement consists of 15-20 multiple-choice questions delivered on the Qlik Learning Portal, and candidates have 45 minutes to complete the assessment. The cost of the SaaS endorsement is included in the Qlik Sense Data Architect Certification fee, so there is no additional cost to take this endorsement assessment.

Steps to Earn the Qlik Sense Data Architect Certification

Gain the Required Knowledge and Skills

Make sure you have a solid understanding of Qlik Sense's data architecture, including hands-on experience in creating and managing data models.

Familiarize yourself with LOAD scripting, ETL processes, QVD architecture, SQL, and relational databases.

Study the Exam Topics

Review the topics covered in the exam, focusing on the key areas such as identifying requirements, data connectivity, data model design, data transformations, and validation.

Use Qlik's official resources and study materials available on the Qlik Learning Portal to prepare.

Take Real Exam Questions

Practice with QSDA2024 real exam questions from Testpassport to get a feel for the types of questions asked and the exam's time constraints. This will help you identify areas where you may need further study.

Register and Schedule the Exam

Once prepared, register for the exam through the Qlik Certification Portal. Schedule the exam at a convenient time.

Complete the Exam and Earn the Certification

During the exam, manage your time effectively to ensure you can answer all 50 multiple-choice questions within the 2-hour time limit.

Upon passing the exam, you will earn the Qlik Sense Data Architect Certification.

Consider the SaaS Endorsement

If you have earned the Qlik Sense Data Architect Certification, take the optional SaaS endorsement exam to demonstrate proficiency in Qlik Sense SaaS-specific capabilities.

Earning the Qlik Sense Data Architect Certification 2024 represents a significant milestone for data architects seeking to demonstrate their proficiency in designing, constructing, and fine-tuning data models within the Qlik Sense ecosystem. This certification serves as a testament to one's expertise and dedication to mastering the intricacies of data architecture in Qlik Sense environments. The certification's platform-neutral approach is particularly noteworthy, as it ensures that certified professionals are well-equipped to handle data challenges across various Qlik Sense deployments, whether on-premises or in the cloud. This versatility is increasingly valuable in today's diverse technological landscape, where organizations may utilize different deployment models to meet their specific needs.

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