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 May 30, 2026

 QSBA2021 Practice Exam
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Last Updated: 30-May-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 86:

  • Correct answer: Vertical scaling

  • Why: Vertical scaling (scale up/down) means increasing or decreasing the size of a VM by adding memory or CPUs to the same VM. It updates the capacity of a single instance rather than adding more instances.

  • How it compares to other terms:
- Horizontal scaling (scale out/in): changes the number of VM instances, not the size of each one. - Elasticity: broad concept of adapting resources to demand (includes vertical and horizontal scaling). - Agility: general capability; not specific to VM capacity.
  • Takeaway: Use vertical scaling when you need more compute power in a single VM; use horizontal scaling to handle larger workloads by adding more VMs.

Rudolfstetten, Switzerland

VirtuLearn AI

Question 73:
I can’t see the image-based statements in Question 73, so I can’t tell which specific statements are true. But I can explain what this type of question is testing and how to decide Yes/No.
What Question 73 is testing

  • Your understanding of the cloud service models and the shared responsibility model: IaaS, PaaS, and SaaS.
  • For each statement you must decide if it describes the correct responsibility split between you (the customer) and the cloud provider.

Key responsibilities by service model
  • IaaS: You manage the guest OS, applications, and data. The provider manages virtualization, servers, storage, and networking.
  • PaaS: You manage the applications and data. The provider manages the OS, runtime, middleware, and underlying platform.
  • SaaS: You primarily manage user data and access; the provider handles the entire application, runtime, OS, and underlying infrastructure.

How to approach
  • If a statement says you’re responsible for patching the operating system, that’s true for IaaS but false for PaaS/SaaS.
  • If a statement says the provider handles the hardware and network, that’s true for all three, but more specific responsibilities depend on the model.

If you paste the exact statements from Q73, I’ll mark each as Yes/No and explain why.

Rudolfstetten, Switzerland

VirtuLearn AI

Question 25:

  • Correct answer: D: a new Cognitive Services resource that uses the S0 pricing tier.

  • Why: To enable OCR and text analytics in a Cognitive Search enrichment pipeline, you must attach a Cognitive Services resource to the skillset. For cost efficiency on a large document set, choose the base standard tier (S0) rather than higher tiers or a free tier, which may limit enrichments. The OCR capability comes from the Cognitive Services (Computer Vision/Read) and the S0 tier provides a balance of capability and cost.

Singapore, Singapore

VirtuLearn AI

Question 20:

  • Correct answer: D and E.

  • Why: Provisioning a QnA Maker service creates:
- Azure App Service to host the QnA Maker web API (your App Service Plan AP1 will host the App Service resource). - Azure Cognitive Search to enable fast search over the knowledge base.
  • Why not the others:
- Language Understanding, Azure SQL Database, and Azure Storage are not automatically created by QnA Maker provisioning.
  • Quick note: After provisioning, check RG1 to verify the new App Service and Cognitive Search resources.

Singapore, Singapore

VirtuLearn AI

what if different between speech recognizer and speach synthesizer

  • Speech Recognizer (Speech-to-Text): Converts audio input (live mic or audio file) into text. Output is transcripts with timestamps, confidence scores, and optional punctuation. Use cases: meeting transcripts, voice commands, real-time captions.

  • Speech Synthesizer (Text-to-Speech): Converts text (or SSML) into audio output. Output is audio data (wav/mp3 or streaming). Use cases: voice prompts, IVR responses, accessibility narrations. You can choose voices, languages, and adjust prosody (rate, pitch, volume).

  • Key differences:
- Input: Recognizer takes audio; Synthesizer takes text/SSML. - Output: Recognizer ? text; Synthesizer ? audio. - Features: Recognizer provides transcripts and timing; Synthesizer provides customizable voices (neural, SSML), multiple languages. - Typical scenarios: Transcription vs. generating spoken content.
  • Quick example: Use Speech Recognizer to transcribe a meeting; use Speech Synthesizer to read a script aloud in a chosen voice.

Singapore, Singapore

VirtuLearn AI

Question 17:

  • Correct answer: A Anomaly Detector.

  • Why: Anomaly Detector is designed to identify unusual values in time-series data. Your scenario has 100 machines × 50 sensors, generating minute-by-minute data, totaling 5,000 time-series. Anomaly Detector can process each time-series (or batches of series) to flag deviations that may indicate potential failures, which is exactly what you need for predictive maintenance.

  • Why not the others:
- Cognitive Search is for indexing and querying content, not for detecting anomalies in time-series data. - Form Recognizer extracts data from forms, not time-series sensor data. - Custom Vision analyzes images, not numeric sensor streams.
  • Practical note: with 5,000 time series, you’d typically run anomaly detection per series (potentially in parallel) and aggregate results to identify which machines/sensors warrant attention.

Singapore, Singapore

VirtuLearn AI

Question 12:

  • Correct answers: A, B, F.

  • Why:
- A. The index size will increase. Enabling CMK encryption adds encryption metadata and key management data, which increases index size. - B. Query times will increase. Encryption/decryption overhead and key retrieval can slow queries. - F. Azure Key Vault is required. CMK means you store/manage keys in Key Vault; it’s a billable, required service for CMK.
  • Why the other options are incorrect:
- C (self-signed X.509 certificate required) is not a requirement for CMK. - D (index size will decrease) and E (query times will decrease) contradict the expected impact of CMK.

Singapore, Singapore

VirtuLearn AI

GIF also we are using ?

  • No, GIF is not supported for Form Recognizer input. The allowed formats are JPG, PNG, PDF (text or scanned), or TIFF.
  • If you have GIFs, convert them to one of the supported formats (e.g., convert to JPG/PNG or PDF) before training or uploading.
  • Also ensure each file is under 50 MB and, when possible, use text-embedded PDFs to reduce errors.

Singapore, Singapore

VirtuLearn AI

Question 11:

  • Correct answers: A, C, F.

  • Why:
- Form Recognizer accepts documents in these formats: JPG, PNG, PDF (text or scanned), or TIFF. (TIFF is sometimes used in archival/scanned docs.) - Text-embedded PDFs are preferred because they minimize character extraction and location errors. - Training data must be under 50 MB per file.
  • So A, C, and F are the three files that meet these input requirements; the other options (B, D, E) likely fail one of the criteria (wrong format or too large). If you want, describe the formats of A, C, and F to confirm they meet all three criteria.

Singapore, Singapore

VirtuLearn AI

Question 10:
The correct answer is B: A new query key was generated.
Explanation:

  • The REST call to:
POST .../regenerateKey?api-version=2017-04-18 with body {"keyName": "Key2"} regenerates the specified account key.
  • Since you specified Key2, only the secondary key is regenerated; the primary key (Key1) remains unchanged.
  • This operation updates the Cognitive Services account keys within Azure, not anything in Azure Key Vault.
  • “Query key” refers to the key used to authorize API requests to the service (subscription key), so regenerating Key2 yields a new value for that key.

Singapore, Singapore