Valid Test QSBA2024 Format | Qlik Valid QSBA2024 Test Registration: Qlik Sense Business Analyst Certification Exam

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Qlik QSBA2024 Exam Syllabus Topics:

Topic	Details
Topic 1	Prepare and Load Data: This part of the [code] exam assesses the skills of developers and data analysts in preparing and loading data efficiently. It involves the creation and improvement of data models using Data Manager and verifying them through the data model viewer.
Topic 2	Design Applications: In this portion of the exam, professionals such as business intelligence developers and Qlik Sense designers will be tested on their competency in creating application layouts tailored to specific business demands. Candidates are also expected to showcase how they adapt and improve application designs based on input from stakeholders and evolving business needs.
Topic 3	Develop Application: The final section of the exam measures the ability of developers to build and fine-tune Qlik Sense applications. It covers the entire development process, from initial design to the refinement of applications in real-world scenarios.
Topic 4	Identify Requirements: This section of the exam evaluates the expertise of professionals like solution architects. It emphasizes identifying Qlik Sense's capabilities to address various business needs. Participants will be tested on their ability to propose Key Performance Indicators (KPIs), dimensions, and measures that align with business objectives.

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Quiz Qlik - QSBA2024 - Pass-Sure Valid Test Qlik Sense Business Analyst Certification Exam - 2024 Format

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Qlik Sense Business Analyst Certification Exam - 2024 Sample Questions (Q28-Q33):

NEW QUESTION # 28
A business analyst needs to create a visualization that compares two measures over time using a continuous scale that includes a range. The measures will be Profit and Revenue.
Which visualization should the business analyst use?

A. Bullet chart
B. Scatter plot
C. Bar chart
D. Line chart

Answer: D

NEW QUESTION # 29
A business analyst is working with retail data for consumer products. The customer is interested in the following:
* Ability to look for outliers on sales volume and margin %
* Ability to understand the clustering of products visually
* Ability to see products that are above the median sales volume
Which action should the business analyst take to implement these requirements?

A. Create a pivot table and color the sales volume cell using K-Means function and median sales volume as an additional column
B. Create a combo chart with K-Means colors for the bar and a line measure representing median sales volume
C. Create a scatter plot using K-Means to color the products and add a median sales volume reference line
D. Create a treemap visualization showing sales volume and margin% by product with the median sales volume in the title

Answer: C

Explanation:
A scatter plot is the best choice for visualizing outliers, clustering, and products that are above the median sales volume. Scatter plots are excellent for showing relationships between two variables (like sales volume and margin %) while providing the ability to highlight outliers. By using K-Means clustering to color the products, the business analyst can visually group similar products. Additionally, adding a median sales volume reference line makes it easy to identify which products are above or below the median.
Key Concepts:
Scatter Plot: This visualization is ideal for detecting outliers and understanding the distribution and clustering of data points.
K-Means Clustering: This technique groups similar data points (products) based on their values, which helps to identify patterns visually.
Median Reference Line: Adding a reference line for median sales volume ensures that the analyst can easily see which products are performing above or below the median.
Why the Other Options Are Less Suitable:
A . Pivot table: While a pivot table could show aggregated data, it is not as effective for visualizing outliers or clustering as a scatter plot.
B . Treemap: A treemap can show hierarchical relationships but is not as effective for identifying clusters or outliers.
C . Combo chart: A combo chart is not as well-suited for visualizing clustering and outliers as a scatter plot.
References for Qlik Sense Business Analyst:
Outliers and Clustering Visualization: Qlik Sense recommends scatter plots for visualizing relationships between two measures and for detecting outliers and clustering in the data.
Thus, creating a scatter plot with K-Means clustering and a median sales volume reference line is the best approach, making D the verified answer.

NEW QUESTION # 30
A business analyst is working with a customer to refine the end user experience. The customer has the following requirements:
* Ability to provide these charts to a specific user group
* Minimize the number of navigation clicks between charts
* Achieve fastest screen response time when switching between charts
* Maximize the chart size in terms of screen real estate
Which action should the business analyst take to meet the requirements?

A. Create several sheets (one sheet per client) and use buttons to navigate between sheets
B. Use a container object to host the required visualizations
C. Create a single sheet with every required chart on this single sheet
D. Use Conditional show on all charts and overlay the charts in the same location

Answer: B

Explanation:
The best solution for minimizing navigation clicks, maximizing screen real estate, and ensuring fast response times is to use a container object. A container object allows the business analyst to house multiple charts within a single visualization, making it easy for users to switch between them with minimal navigation. This also ensures that only one chart is rendered at a time, which improves screen response time.
Key Concepts:
Container Object: This feature allows multiple charts to be placed in one object, minimizing navigation clicks and maximizing screen real estate, as users can switch between charts within the same view.
Fast Response Time: Since only one chart is visible at a time, rendering performance is optimized, ensuring fast responses when switching between visualizations.
Why the Other Options Are Less Suitable:
A . Conditional show: This could lead to performance issues, as multiple charts would be rendered simultaneously, slowing down response time.
B . Single sheet with all charts: This would clutter the screen and reduce chart size, making it less optimal for user experience.
D . Several sheets with buttons for navigation: This increases the number of navigation clicks, which contradicts the requirement of minimizing navigation.
References for Qlik Sense Business Analyst:
Container Object for Multiple Visualizations: Qlik Sense recommends container objects when you need to show multiple charts with minimal navigation and maximum screen real estate.
Thus, using a container object to host the required visualizations is the best solution, making C the verified answer.

NEW QUESTION # 31
Exhibit.

Refer to the exhibit.
An app is being developed at a university to monitor student exam attempts- Three core tables are loaded into the app for Students, Exams, and Attempts. Students can attempt the same exam multiple times.
Before building any visualizations, the business analyst needs to know:
* How many students are in the system
* What percentage of students have not yet attempted an exam
Which metadata should the analyst focus on to answer these questions?

A. Non-null values and Subset ratio for the StudentID field in the Students table
B. Subset ratio and Present distinct values for the ExamID field in the Attempts table
C. Total distinct values and Subset ratio for the StudentID field in the Attempts table
D. Present distinct values and Density% for the ExamID field in the Exams table

Answer: C

Explanation:
To answer the two questions:
How many students are in the system?
What percentage of students have not yet attempted an exam?
The analyst needs to focus on the StudentID field, specifically in relation to the Attempts table. This is because the Attempts table captures all exam attempts made by students, and we can deduce which students have and have not made an attempt by examining the presence of StudentID values in this table.
Key Concepts:
Total Distinct Values: This provides the total number of unique students who have attempted exams. It helps identify how many students have made at least one attempt.
Subset Ratio: This compares the values of StudentID between the Students table and the Attempts table. The subset ratio shows how many students in the Students table are represented in the Attempts table. This ratio helps determine the percentage of students who have not yet attempted any exams.
Why the Other Options Are Less Suitable:
B . Non-null values and Subset ratio for the StudentID field in the Students table: The non-null values in the Students table are not relevant to the question about exam attempts. The focus should be on whether the StudentID is present in the Attempts table.
C . Subset ratio and Present distinct values for the ExamID field in the Attempts table: This focuses on exams, not students. The question specifically relates to how many students have attempted exams.
D . Present distinct values and Density% for the ExamID field in the Exams table: This focuses on the number of exams and their density, which does not help in determining how many students have attempted or not attempted an exam.
References for Qlik Sense Business Analyst:
Subset Ratio and Distinct Counts: Qlik Sense's data model viewer provides valuable metadata like the distinct count of a field and its subset ratio when compared to related fields in other tables. This is particularly useful for understanding relationships and gaps in the data, such as identifying students who have not yet made an exam attempt.
By focusing on the Total distinct values and Subset ratio for the StudentID field in the Attempts table, the business analyst can easily determine the total number of students and the percentage who have not yet attempted an exam, making A the verified answer.

NEW QUESTION # 32
A business analyst is creating a new app with sales dat
a. The visualizations must meet several requirements:
A Bar chart that shows sales by product group is used in multiple sheets
* A KPI object that visualizes that the total amount of sales is used once
* A Treemap that shows margin by product group is used one time inside a Container Which visualization should be added to the master items library?

A. KPI
B. Bar chart
C. Treemap
D. Container

Answer: B

Explanation:
The Bar chart is used multiple times across various sheets, which makes it a good candidate to be added to the Master Items library. Master items are reusable components that can be added to multiple visualizations across different sheets without needing to recreate them. Since the bar chart will be reused multiple times, adding it to the Master Items ensures consistency and reusability.
Key Concepts:
Master Items: These are predefined dimensions, measures, or visualizations that can be reused across multiple sheets in an app, ensuring consistency and reducing development time.
Why the Other Options Are Less Suitable:
A . Container: The container is only used once in this scenario, so it doesn't need to be a master item.
B . KPI: The KPI is only used once, so it does not require master item status.
D . Treemap: The treemap is only used once in a container, so it doesn't need to be a master item.
References for Qlik Sense Business Analyst:
Master Items for Reusability: Qlik Sense recommends adding frequently used charts or dimensions to the master items for easy reuse and consistency.
Thus, the bar chart is the best choice for adding to the master items, making C the correct answer.

NEW QUESTION # 33
......

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