QlikView QSBA2021 Exam Prep Course (Premium File)
AI-Powered Qlik Sense Business Analyst Certification Exam - February 2021 Release Exam - Pass on Your First Try

Last updated on Jun 12, 2026

 QSBA2021 Practice Exam
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Last Updated: 12-Jun-2026
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All Qlik Sense Business Analyst Certification Exam - February 2021 Release certification learning material, study guide, training courses are created by a team of QlikView training experts. The Study Guide and .EXM training software files contain relevant Qlik Sense Business Analyst Certification Exam - February 2021 Release content, labs, practice questions and explanation. This QSBA2021 exam guide and training courses is based on the latest exam outlines available!

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Qlik Sense Business Analyst Certification Exam - February 2021 Release Study package designed to help you confidently pass your exam.

The QSBA2021 Exam Prep Features:

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Preparing and Passing the QlikView QSBA2021 Exam: A Comprehensive Guide

As a student aspiring to excel in the field of QlikView, passing the QSBA2021 exam is a crucial step towards validating your knowledge and skills. This article aims to provide you with the most accurate and up-to-date details about the exam, along with actionable tips to help you prepare effectively and increase your chances of success.

About the QlikView QSBA2021 Exam

The QSBA2021 exam is designed to assess an individual's understanding of QlikView Business Analyst concepts and their ability to apply them in real-world scenarios. By passing this exam, you demonstrate your proficiency in various aspects of QlikView, including data modeling, data visualization, and data interpretation.

The exam consists of multiple-choice questions, which test your knowledge and practical skills related to QlikView. It covers a wide range of topics, including but not limited to:

  • Data modeling techniques
  • Data visualization best practices
  • Understanding and interpreting QlikView applications
  • Creating and managing data connections
  • Designing effective user interfaces

Preparing for the QSBA2021 Exam

To ensure a well-rounded preparation for the QSBA2021 exam, consider the following steps:

1. Familiarize Yourself with QlikView Concepts

Start by gaining a strong understanding of the fundamental concepts and features of QlikView. Review the official QlikView documentation and explore relevant online resources to grasp the core principles of data modeling, visualization, and analysis.

2. Review the Exam Blueprint

Visit the official QlikView website and download the QSBA2021 exam blueprint. This document provides an outline of the topics covered in the exam, helping you identify areas where you may need to focus your studies. Pay close attention to the weightage assigned to each topic.

3. Enroll in QlikView Training Courses

Consider enrolling in QlikView training courses offered by authorized training partners. These courses provide structured learning experiences and hands-on exercises to reinforce your understanding of QlikView concepts. Ensure that the courses align with the QSBA2021 exam objectives.

4. Practice with Sample Questions

Utilize the sample questions provided by QlikView to familiarize yourself with the format and types of questions you may encounter in the exam. These sample questions allow you to assess your knowledge and identify areas for improvement.

5. Hands-on Experience with QlikView

To gain practical experience, work on real-world QlikView projects or explore public datasets using QlikView. The hands-on experience will help you apply your theoretical knowledge and reinforce your understanding of the platform's capabilities.

6. Join QlikView Communities and Forums

Engage with the QlikView community by joining online forums, discussion boards, and user groups. Participate in discussions, ask questions, and learn from experienced QlikView professionals. These communities provide valuable insights and can help clarify any doubts you may have.

Tips for Passing the QSBA2021 Exam

Here are some actionable tips to enhance your chances of passing the QSBA2021 exam:

1. Create a Study Plan

Develop a study plan that covers all the exam objectives and allows you to allocate sufficient time for each topic. A well-structured study plan helps you stay organized and ensures comprehensive preparation.

2. Focus on Key Concepts

Identify the key concepts emphasized in the exam blueprint and allocate more study time to these areas. Understanding the core principles will enable you to answer related questions more confidently.

3. Practice Time Management

The QSBA2021 exam has a specific time limit, so practice time management while solving sample questions or mock exams. This will help you become familiar with the pace required to complete the exam within the allotted time.

4. Review Your Answers

Allocate some time at the end of the exam to review your answers. Carefully go through each question and ensure that you have answered to the best of your ability. Correct any mistakes or provide additional explanations, if necessary.

5. Stay Calm and Confident

On the day of the exam, stay calm and trust in your preparation. Confidence plays a significant role in exam performance. Avoid last-minute cramming and maintain a positive mindset throughout the exam.

6. Utilize Exam Resources

During the exam, make full use of the available resources such as the QlikView help files, syntax guides, and tooltips. Familiarize yourself with these resources beforehand to navigate them efficiently during the exam.

By following these tips and dedicating ample time and effort to your preparation, you can enhance your chances of passing the QSBA2021 exam and advancing your career in QlikView.

Best of luck with your exam preparation!

QlikView

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VirtuLearn AI

Question 28:
Answer: C — Computer Vision image analysis
Explanation:

  • To generate image tags in multiple languages with minimal development, use the Image Analysis endpoint of the Computer Vision service.
  • Call the API (Analyze Image) with visualFeatures=Tags and specify the language parameter (e.g., language=en, language=fr, language=es). The response returns tags with names localized to the requested language.
  • This approach requires no custom model training, unlike Custom Vision image classification, which would require building and tagging a dataset.
  • Other options:
- Content Moderator is for content safety/moderation, not tagging. - Image Moderation endpoints focus on inappropriate content. - Custom Translator translates text, not image tags.
In short, use the Image Analysis endpoint to get language-localized tags with minimal effort.

Singapore, Singapore

VirtuLearn AI

Question 61:

  • Correct answer: A. Run the Bot Framework Emulator.

  • Why: The Bot Framework Emulator lets you test and validate a locally running bot before connecting to any channels. It lets you simulate conversations, inspect requests/responses, view state, and debug dialog flows in real time.

  • Why the other options are not correct for pre-connection validation:
- Bot Framework Composer is a design/authoring tool, not a local validation tool for a running bot. - Registering the bot with Azure Bot Service is for cloud deployment, not for initial local validation. - Windows Terminal is just a shell; it doesn’t provide bot testing capabilities.
  • Quick steps (before connecting to channels):
- Install and run the bot locally (e.g., dotnet run or npm start). - Start the Bot Framework Emulator and connect to your bot’s local endpoint (typically http://localhost:3978/api/messages with any app credentials as needed). - Validate conversations, dialogs, and state to ensure correct behavior prior to deployment.

Singapore, Singapore

VirtuLearn AI

Question 10:
Correct answer: B. A new query key was generated.
Explanation:

  • The REST call uses POST to .../regenerateKey with body {"keyName": "Key2"}. This regenerates only the specified key (Key2) for the given Cognitive Services account.
  • The value of Key2 changes to a new secret; Key1 remains unchanged. It does not rotate both keys, nor does it involve Azure Key Vault.
  • After regenerating, update your client applications to use the new Key2 value to continue authenticating.

Singapore, Singapore

VirtuLearn AI

Question 57:
In question 57, after a new feature release users experience latency at login. The first action should be to rollback the recent release to the previous stable version.
Why:

  • Rolling back quickly restores service and user experience, minimizing impact (blast radius) while you investigate the root cause.
  • It buys time to diagnose whether the regression was introduced by the new release.

Why not the other options as the first step:
  • Review Stackdriver monitoring is important for diagnosis, but it doesn’t immediately restore service to normal. Do it after rollback or in parallel to triage.
  • Upsize the VMs may help temporarily but does not address the underlying issue and isn’t a guaranteed fix.
  • Deploy a new release could reintroduce the problem or delay stabilization.

Best practice tip: use feature flags or canary deployments so you can rollback a feature with minimal impact, and have a defined rollback playbook for fast incident response.

Zionsville, United States

Mark Whyte

Hi, when I click on Practice online it sends me to the free test is this right? is there a Mac OS of Xengine Thanks Mark

Wicklow, Ireland

VirtuLearn AI

Question 2:

  • Correct option: C — the models are PA-3260, PA-5410, PA-850, and PA-460.
  • Why: ARE requires PAN-OS 11.0+ and hardware that supports the feature. ARE is available on the PA-3200 Series, PA-5400 Series, PA-800 Series, and PA-400 Series. That includes:
- PA-3260 (PA-3200 family) - PA-5410 (PA-5400 family) - PA-850 and PA-460 (PA-800/PA-400 families)
  • What to do in practice:
- Ensure PAN-OS 11.0+ is running. - Apply the ARE license. - Enable ARE on the relevant logical router to use advanced routing features (e.g., enhanced BGP/OSPF).
  • Why other choices are incorrect: those models fall outside the ARE-supported families or are VM/CN-Series not listed for ARE in this context.

Doha, Qatar

VirtuLearn AI

Question 2:

  • Correct answer: Set-MsolCompanySettings

  • Why:
- Self-service sign-up (SSS) is a tenant-wide setting in Azure AD/MSOL. To prevent external users from creating new accounts in your contoso.com tenant via SSS, you modify the MSOL company settings. - The cmdlet to configure these tenant-wide settings is Set-MsolCompanySettings. - The other options operate on federation settings or domain-level configurations (e.g., Set-MsolDomainFederationSettings, Update-MsolfederatedDomain, Set-MsolDomain) and do not control self-service sign-up behavior.

Saldanha, South Africa

VirtuLearn AI

Question 0:
You’re right to question it, but in this exam context the correct option is A: create_resource("res1", "ComputerVision", "F0", "westus").
Why:

  • The task is to generate captions of images, which uses the Computer Vision resource, not Custom Vision.
  • The requirement specifies a free Azure resource, so you should use the free tier F0 in the West US region.
  • The other options either use the wrong service (CustomVision.Prediction) or a paid tier (S0).

If you’ve seen F0 not available for Computer Vision in your actual Azure portal, that’s a portal/region nuance, but for the exam scenario the expected choice is A.

Singapore, Singapore

VirtuLearn AI

Question 17:

  • Correct answer: A

  • Why: To generate captions of images, you need a ComputerVision resource, not CustomVision.Prediction. The task specifies a free Azure resource, so use the free tier F0 and set the location to westus. The other options either use the wrong service (Custom Vision) or use a paid tier (S0). The function call should be:
create_resource("res1", "ComputerVision", "F0", "westus")

Singapore, Singapore

VirtuLearn AI

Question 46:

  • The correct completion is: collection of information concepts and their relationships to one another.

  • In TOGAF/Enterprise Architecture, an information map is a visual representation of the information landscape. It shows what information assets exist, where they reside, and how they relate and flow between systems. It helps identify key data concepts, their locations, and the dependencies between them.

Hersonissos, Greece