Qlik Sense Business Analyst Certification Exam - 2024 QSBA2024 Exam Practice Test

Answer : C

To efficiently categorize support cases based on age (New, Aging, Beyond SLA) for use in multiple places across the dashboard, the Bucket option in the Data Manager is the most efficient approach. Bucketing allows the business analyst to create new categories based on the values in an existing field (in this case, the age of support cases). Since the dataset is expected to grow, creating the categories directly within Qlik Sense ensures that the process is scalable without the need for external tools or extensive coding.

Key Concepts:

Bucket Function: This allows you to group numeric fields into predefined ranges or categories. The function is highly scalable, making it suitable for large datasets.

Efficiency: Creating a new field using Bucketing ensures that the categorization is done directly in the app, avoiding the need for external data sources or nested IF statements, which could impact performance.

Why the Other Options Are Less Suitable:

A . Ask the ServiceNow team to create the field: This would create a dependency on external teams and could delay the development process.

B . Create an Excel sheet: This adds unnecessary complexity and isn't scalable as the dataset grows.

D . Write a master dimension with a nested IF statement: While this could work, it's less efficient for handling large datasets and could result in slower performance.

References for Qlik Sense Business Analyst:

Bucketing Data: Qlik Sense recommends using the Bucketing feature for creating predefined ranges or categories, especially when dealing with large datasets.

Thus, using the Bucket option to create a new field for categories is the most efficient solution, making C the correct answer.

Answer : C

When working with Qlik Sense apps, a business analyst often encounters situations where visualizations may be highly similar between different apps, even if the underlying data models differ. In such cases, efficiency is crucial, and Qlik Sense provides several methods to reuse visualizations across apps. Let's break down the options:

A . Add the base visualization to the master items and use it as a template for the new visualization. This option suggests adding the base visualization to the master items. While master items are useful for reusing dimensions, measures, and visualizations within the same app, they do not easily transfer across apps. In this case, since the visualization is required in a different app, this approach would not be the most efficient or feasible.

B . Note the properties of the base visualization and create the new visualization from scratch. This option involves manually noting the properties and then replicating them in the new app. While this would work, it is labor-intensive and increases the likelihood of human error, especially in complex visualizations. It is not an efficient solution for business analysts looking to save time.

C . Copy and paste the visualization between the apps, and update the data properties in the new app. This is the most efficient solution. Qlik Sense allows for the copying and pasting of visualizations between different apps, and you can then adjust the properties to fit the new data model. This option enables the business analyst to leverage existing visual work without having to recreate it from scratch. Updating the data properties, such as dimensions and measures, ensures that the visualization functions correctly with the new data model.

D . Open both apps at the same time. Drag the base visualization between apps, then update the data properties. While this seems like a practical option, Qlik Sense does not allow users to drag and drop visualizations directly between different apps. As a result, this method is not possible.

Key Qlik Sense Business Analyst References:

Copying and pasting visualizations is a common practice in Qlik Sense when working between different apps. The ability to quickly replicate and adapt visualizations across apps helps streamline the development process.

Adjusting data properties such as dimensions and measures ensures that visualizations adapt to different data models without the need for full recreation.

Efficiency and error reduction are critical in app development, and copy-paste functionalities are specifically designed to reduce manual work in such scenarios.

In conclusion, the correct and most efficient action for the business analyst to take is C, copy and paste the visualization, and then update the relevant data properties.

Answer : C

A combo chart is the most suitable visualization to show the value of sales for each month along with a rolling 3-month summary. The combo chart allows you to combine different types of visualizations, such as bars for monthly sales values and a line for the rolling 3-month summary. This provides a clear comparison and tracking of sales trends over time.

Key Concepts:

Rolling Summary: In this case, a 3-month rolling summary can be shown as a line measure in the combo chart, while the sales values for each month can be shown as bars.

Combo Chart: This visualization is ideal for comparing multiple measures on the same axis, such as individual sales values and aggregated rolling summaries.

Why the Other Options Are Less Suitable:

A . Scatter plot: A scatter plot is used to display the relationship between two variables, not to show time-based trends or rolling summaries.

B . Mekko chart: Mekko charts are used for categorical data and comparisons across categories, not for time-based analysis.

D . Pie chart: Pie charts are best suited for showing parts of a whole and are not appropriate for visualizing time-based data or rolling summaries.

References for Qlik Sense Business Analyst:

Combo Charts for Time Series Data: Combo charts are highly recommended when there is a need to compare different types of measures (like individual sales vs. rolling averages) over time in Qlik Sense.

Thus, a combo chart provides the most effective solution for showing both monthly sales values and the rolling 3-month summary, making C the correct answer.

Answer : A

To dynamically highlight a specific product bar in a bar chart based on conditions, the best approach is to use the Color By Expression feature under the Appearance settings in Qlik Sense. This feature allows you to apply conditional formatting to bars, changing their color dynamically based on expression logic.

A . A Color By Expression property under Appearance This is the correct answer. The Color By Expression property allows the business analyst to dynamically color bars in the chart based on specific conditions. The expression can be set to highlight a specific product bar only when certain conditions are met, and the color can be customized to make it stand out.

B . A Dimension reference line add-on Dimension reference lines are used to show thresholds or important values along the axes, but they do not dynamically color the bars or add conditional labels to them. This would not achieve the desired effect.

C . An Alternative dimension with a calculation Alternative dimensions allow users to switch between different dimensions in the same chart, but they do not provide dynamic highlighting or conditional visibility for labels.

D . A reference line add-on under Properties Reference lines are used to mark specific values or thresholds in a chart, but they do not interact with the dynamic coloring or visibility of labels on individual bars.

Key Qlik Sense Business Analyst References:

Color By Expression is a powerful feature in Qlik Sense that allows dynamic customization of chart colors based on expressions, making it ideal for highlighting specific data points or conditions.

This feature provides great flexibility in creating visually engaging and interactive charts that respond to changes in the underlying data or user selections.

Thus, the correct way to highlight a specific product bar with a dynamic label is to use Color By Expression under Appearance.

Answer : D

To meet the CEO's requirements for a dynamic, interactive, and visually impactful presentation that can also be shared, the Storytelling feature in Qlik Sense is the best option. The Storytelling feature allows the business analyst to create a narrative combining static snapshots and live Qlik Sense sheets. This is perfect for large presentations as it lets the CEO present critical information and answer audience questions dynamically by embedding live sheets into the story, making the presentation interactive.

Key Concepts:

Storytelling: This feature allows the creation of a sequence of slides that include embedded live Qlik Sense visualizations, enabling dynamic responses to audience questions.

Shared Content: Once the app is published, it can be shared with a broader audience, allowing stakeholders to interact with the embedded sheets.

Why the Other Options Are Less Suitable:

A . Embed a video player: While videos can be useful, they do not allow for dynamic interaction, which is a requirement.

B . Colorful and layered visualizations exported as PDF: PDFs are static, and exporting as a PDF would not allow for dynamic interaction during the presentation.

C . NPrinting slideshow-style report: NPrinting is useful for generating reports, but it does not meet the need for live, dynamic presentations.

References for Qlik Sense Business Analyst:

Qlik Sense Storytelling for Presentations: Storytelling allows users to blend narrative and interactive elements, making it ideal for presenting to large audiences.

Thus, D is the best choice because it meets all the requirements for interactive and dynamic presentations, making it the verified answer.

Answer : D

In the provided exhibit, the movie analyst filters by the Length Range field and notices a hyphen (''-''), which typically indicates missing data in Qlik Sense. When the analyst selects this hyphen, it filters out the rows where no data exists for the Length Range field.

Let's review the options:

A . Six movies in the source data contain illegal characters for the Length Range field. This statement is incorrect. The hyphen (''-'') is not an indicator of illegal characters. In Qlik Sense, it usually represents null values or missing data, not improperly formatted data.

B . Movies at the start of the 20th century often varied in length. This answer is not relevant to the specific observation of the hyphen in the Length Range field. The hyphen does not provide insights into the variation of movie lengths; it indicates missing data.

C . All movies from the 1920s or 1930s contain no data for Length Range. While the screenshot shows some movies from different decades, we cannot definitively conclude that all movies from a particular era are missing the Length Range data. The hyphen indicates that some movies across various years are missing data, but this does not apply to all movies from the 1920s or 1930s.

D . The source data for six movies is missing a Length Range. This is the correct interpretation. The hyphen in the Length Range column indicates that these six movies lack data for this field. Selecting the hyphen allows the analyst to identify movies with missing values in the Length Range field.

Key Qlik Sense Business Analyst References:

Hyphen (''-'') in Qlik Sense typically represents null or missing values in a field.

Filter panes in Qlik Sense allow users to quickly see where data may be incomplete or missing, and selecting these null values provides immediate insight into which records are affected.

Thus, the correct determination is that the source data for six movies is missing a Length Range.

Answer : C

In Qlik Sense, the Insights Advisor Chat is the feature that allows users to interact with the app through natural language questions. This tool leverages Qlik's advanced AI and machine learning capabilities to interpret natural language queries and generate relevant insights, visualizations, or suggestions for analysis.

A . Advanced Authoring Advanced Authoring is a set of tools in Qlik Sense designed for creating detailed visualizations and reports, but it does not include natural language interaction capabilities. It is focused more on customization and precise design rather than conversational querying.

B . Story and Bookmarks Storytelling and bookmarks in Qlik Sense are tools for narrative data presentations and saving specific states of analysis. They do not provide the ability to ask natural language questions or automatically generate insights.

C . Insights Advisor Chat Insights Advisor Chat is the correct answer. This feature allows users to interact with their data by typing natural language questions, which the system interprets to generate appropriate responses, including charts, KPIs, and other insights. It is designed to assist non-technical users by making data exploration more intuitive and accessible through natural language.

D . Associative Engine The Associative Engine is the underlying technology that allows Qlik Sense to handle large datasets and perform associative searches across them. While it is powerful for data exploration, it does not provide a direct interface for natural language querying like Insights Advisor Chat does.

Key Qlik Sense Business Analyst References:

Insights Advisor Chat is a feature in Qlik Sense that empowers users to ask questions in natural language and get meaningful responses without needing to be data experts.

It is part of Qlik Sense's broader set of augmented intelligence tools that enhance the user experience by providing guided insights and helping users discover relationships in data through natural language queries.

This feature simplifies data exploration for business users who might not be familiar with complex data querying techniques.

Thus, the feature that allows users to use natural language questions in Qlik Sense is Insights Advisor Chat.