QlikView QSBA2024 Online Practice Questions and Exam Preparation

QlikView QSBA2024 Online Questions & Answers

• Question 31:

  A business analyst needs to rapidly prototype an application design for a prospective customer. The only dataset provided by the customer contains 30 fields, but has over one billion rows. It will take too long to keep loading in its entirety while the analyst develops the data model.

  Which action should the business analyst complete in the Data manager?

  A. Split the dataset and create a normalized star schema of associated tables
  B. Deselect text columns with unique data values to reduce the memory footprint
  C. Use the Filter data option to reduce the number of rows
  D. Truncate text fields longer than 256 characters to create preview fields
  C. Use the Filter data option to reduce the number of rows

  ---

  Explanation

  When working with large datasets, such as the one containing over a billion rows in this scenario, loading the entire dataset can be time-consuming, especially during the development phase. Qlik Sense provides aFilter data option in the Data

  Manager, which allows business analysts to work with a subset of the data during development. This is particularly useful for rapidly prototyping the application design.

  Key Concepts:

  Filter Data Option: This feature in Qlik Sense allows the analyst to load a smaller sample of the dataset for analysis and development purposes. By filtering out unnecessary rows, the business analyst can quickly build and prototype the

  application without waiting for the full dataset to load. Once the design is finalized, the full dataset can be reloaded.

  Prototyping with Reduced Data: It's often more efficient to work with a smaller dataset during the design phase. This allows for faster iterations and design cycles, especially when working with large datasets.

  Why the Other Options Are Less Suitable:

  A. Split the dataset and create a normalized star schema of associated tables: This would involve complex data modeling that is not necessarily related to the immediate need of reducing the size of the dataset for prototyping. While star schemas can optimize data models, it's not the quickest way to reduce the number of rows for initial testing.

  B. Deselect text columns with unique data values to reduce the memory footprint: This may reduce the memory usage but won't necessarily address the issue of reducing the number of rows. Also, the text columns might be important for the analysis and should not be removed without careful consideration.

  D. Truncate text fields longer than 256 characters to create preview fields: Truncating text fields will not significantly reduce the dataset size or the load time. It may also result in losing critical information, which is not ideal for prototyping.

  References for Qlik Sense Business Analyst:

  Rapid Prototyping: Qlik Sense encourages rapid development of applications by allowing business analysts to work with subsets of the data. The Filter Data option is an important tool for managing large datasets efficiently.

  Data Manager Tools: The Data Manager in Qlik Sense provides several tools for reducing the dataset size, and filtering is one of the key options for improving performance during development.

  Using the Filter data option allows the business analyst to focus on a smaller subset of data, enabling quicker prototyping and iteration, which makes option the most effective solution. C

• Question 32:

  An app needs to load a few hundred rows of data from a .csv text file. The file is the result of a concatenated data dump by multiple divisions across several countries. These divisions use different internal systems and processes, which causes country names to appear differently. For example, the United States of America appears in several places as 'USA', 'U.S.A.', or 'US'.

  For the country dimension to work properly in the app, the naming of countries must be standardized in the data model.

  Which action should the business analyst complete to address this issue?

  A. Create a calculated master dimension expression
  B. Load a lookup table to convert values
  C. Cleanse the source text file prior to loading
  D. Use the Replace option in Data manager
  B. Load a lookup table to convert values

  ---

  Explanation

  In Qlik Sense, when dealing with inconsistent naming conventions across different systems or divisions (like the variation in country names), the best practice is to standardize the data during the loading process. Using a lookup table is the

  most efficient approach to achieve this. This involves loading a separate table that contains all variations of a country name along with the standardized version. During the load process, Qlik Sense can then map the varying names to a

  common value.

  Key Concepts:

  Lookup Table: A lookup table contains key-value pairs where different versions of a data element (like country names) are mapped to a single standard value. In this case, the lookup table could have entries like USA, U.S.A., US all mapped

  to United States of America.

  Data Standardization: This is crucial in ensuring consistent analysis across datasets. By converting variations of country names into a single consistent value, the business analyst ensures that all data visualizations and analysis will treat

  "USA", "US", etc., as the same entity.

  Why the Other Options Are Less Suitable:

  A. Create a calculated master dimension expression: While this could theoretically work by creating a calculated expression to handle variations, it's not scalable or maintainable, especially as new variations in country names could appear in future data loads.

  C. Cleanse the source text file prior to loading: This option would require modifying the raw data files manually, which is time-consuming and not sustainable if data is frequently updated or if the number of variations is extensive.

  D. Use the Replace option in Data manager: The Replace option in the Data Manager could work on a small scale, but it requires manual intervention each time, which is not efficient or sustainable when new data is loaded. Also, it's more useful for one-off corrections than for handling systemic issues across multiple data loads.

  References for Qlik Sense Business Analyst:

  Data Modeling Best Practices: Lookup tables are a common approach to resolve issues of inconsistent data across multiple sources. They ensure that data is consistently represented in visualizations and reduce the need for manual

  intervention.

  Data Cleansing During Loading: Qlik Sense allows for transformation and data cleansing during the data load process. A lookup table is part of this capability and ensures that the data loaded into the app is clean and consistent.

  Using a lookup table is the most scalable and maintainable approach to standardizing country names in this scenario, which is why option is the verified solution. B

• Question 33:

  A customer needs to demonstrate the value of sales for each month of the year with a rolling 3-month summary. Which visualization should the business analyst recommend to meet the customer's needs?

  A. Scatter plot
  B. Mekko chart
  C. Combo chart
  D. Pie chart
  C. Combo chart

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  Explanation

  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 the correct answer. C

• Question 34:

  A marketing team needs to display sales for a limited number of products by providing a bar chart that the user can control. The visualization has several requirements:

  1. Starts with the top five products

  2. Allows the user to change the number of products displayed

  3. Allows the user to scroll through all products on a mini chart

  The business analyst creates a bar chat and a variable.

  Which steps should the business analyst complete next?

  A. 1. Add the slider object and use the variable to set its value 2. Set the number of bars to custom and use the variable to set its value
  B. 1. Use the variable to fix the limitation 2. Add an input box to enable the user to enter the required value
  C. 1. Use the variable to fix the limitation 2. Add a slider object and use the variable to set its value
  D. 1. Add the slider object and use the variable to set its value 2. Use the properties to set the number of bars to custom
  A. 1. Add the slider object and use the variable to set its value 2. Set the number of bars to custom and use the variable to set its value

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  Explanation

  To meet the requirement of controlling the number of products displayed in the bar chart, the business analyst should use a slider object tied to a variable. The variable will store the number of products the user wants to display. In the

  Appearance section of the bar chart's properties, the analyst can set the number of bars to a custom value using the variable, ensuring that the user can dynamically change the number of displayed products.

  Key Concepts:

  Slider Object: This provides a user-friendly way for users to adjust the number of products displayed in the bar chart.

  Custom Bar Limitation: By setting the number of bars displayed to a custom value controlled by the variable, the business analyst ensures that the user can dynamically adjust how many products are shown.

  Why the Other Options Are Less Suitable:

  B. Use the variable to fix the limitation and add an input box: While this could work, sliders provide a better, more intuitive user experience than input boxes for adjusting values dynamically.

  C. Use the variable to fix the limitation and add a slider: This is almost correct, but it misses the step of setting the number of bars to a custom value using the variable.

  D. Add the slider object and set its value, but without custom bar settings: While adding a slider is correct, not setting the number of bars to custom using the variable means the user wouldn't be able to dynamically control the number of displayed products.

  References for Qlik Sense Business Analyst:

  Dynamic Control with Variables and Sliders: Qlik Sense best practices recommend using sliders and variables to give users control over visualizations, particularly when it comes to dynamically limiting data displayed.

  Thus, adding the slider object and setting the number of bars to a custom value controlled by the variable is the best solution, making the verified answer. A

• Question 35:

  A project management team uses an app to monitor different projects.

  1. Projects may have co-dependent tasks and processes

  2. Some projects include subtasks

  The business analyst needs to use a diagram similar to a workflow with the processes and the sub tasks represented as boxes with lines to relate them to each other. The color of the boxes could also be determined by the status of each project or task.

  Which visualization should be used?

  A. Sankey chart
  B. Grid chart
  C. Org chart
  D. Network chart
  D. Network chart

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  Explanation

  A Network chart is the most suitable visualization for representing processes and tasks that have dependencies, such as projects with co-dependent tasks and subtasks. The network chart allows you to visualize relationships between nodes

  (in this case, tasks and subtasks) and can display them in a structured manner with lines connecting them based on their relationships. The colors of the boxes (or nodes) can be determined by the status of each project or task, which

  matches the requirements.

  Key Concepts:

  Network Chart: It's designed for showing interconnections or relationships between various elements. It is ideal when tasks or processes have dependencies or subtasks that need to be visually represented with links between them.

  Color Representation: In a Network Chart, you can easily apply colors to nodes based on specific criteria, such as the status of the task, making it easier for users to track project progress at a glance.

  Why the Other Options Are Less Suitable:

  A. Sankey chart: While Sankey charts are used to show flow and relationships between categories, they are better suited for representing flows of data or values between stages, not hierarchical or task- related dependencies.

  B. Grid chart: A grid chart is used to display values in a matrix but does not provide the relational and hierarchical representation needed for tasks and subtasks.

  C. Org chart: Org charts are useful for showing hierarchies but are more structured for organization personnel or roles rather than co-dependent tasks and workflows.

  References for Qlik Sense Business Analyst:

  Network Diagram: Network charts are widely used for visualizing complex relationships between entities, which aligns with the need to visualize tasks and subtasks in project management.

  Thus, a Network chart provides the best solution for visualizing tasks and subtasks with their dependencies, making the correct answer. D

• Question 36:

  A business analyst receives multiple requests for a variety of different filter panes to be placed on a dashboard. Users need to filter on many different values across different fields.

  Which Qlik Sense feature do the users need to learn about to meet their needs?

  A. Smart search
  B. Data model viewer
  C. Insight Advisor
  D. Governed self-service
  A. Smart search

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  Explanation

  When users need to filter across many different fields and values in a Qlik Sense dashboard, the most efficient feature they can use is Smart Search . Smart Search allows users to quickly search across all fields within the data model, enabling them to find relevant information and apply filters in a streamlined manner.

  A. Smart searchThis is the correct option. Smart Search enables users to enter search terms and find matches across all fields in the data model, allowing for quick and intuitive filtering. It helps users locate specific data points or filter across multiple fields at once, making it highly efficient when multiple filter panes are needed.

  B. Data model viewerThe Data Model Viewer provides a visual representation of the relationships between data tables in the model. While it's useful for understanding the data structure, it's not a tool for filtering or user interaction with data.

  C. Insight AdvisorThe Insight Advisor is designed for guided analytics, providing suggestions and generating visualizations based on user queries. It does not offer the comprehensive filtering capabilities that Smart Search does.

  D. Governed self-serviceGoverned self-service refers to the balance between providing users with flexibility in creating their own visualizations while maintaining control over data governance. It's not related to filtering or searching data in the same way as Smart Search.

  Key Qlik Sense Business Analyst

  References:

  Smart Searchin Qlik Sense is designed to provide fast, interactive search capabilities that span across all fields, enabling complex filtering in an easy-to-use interface.

  This feature allows users to filter multiple fields simultaneously, saving time and effort when analyzing diverse data sets.

  Thus, the correct feature for filtering on multiple values across different fields is Smart Search .

• Question 37:

  In the 'Sales By Product' bar chart, a customer wants to highlight a specific product bar that includes a dynamic label. The label will only be visible when conditions are met. Which feature should the business analyst add to the bar chart?

  A. A Color By Expression property under Appearance
  B. A Dimension reference line add-on
  C. An Alternative dimension with a calculation
  D. A reference line add-on under Properties
  A. A Color By Expression property under Appearance

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  Explanation

  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 AppearanceThis is the correct answer. TheColor 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-onDimension 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 calculationAlternative 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 PropertiesReference 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 Expressionis 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 useColor By Expression under Appearance .

• Question 38:

  A business analyst using a shared folder mapped to S:\488957004\ receives an Excel file with more than 100 columns. Many of the columns are duplicates. Any current columns that should be used have the suffix '_c' appended to the column name.

  Which action should the business analyst take to load the Excel data?

  A. Load all columns because the recommended associations will use only columns with the suffix '_c'
  B. Utilize filter functionality in the Data manager to select only columns with the suffix '_c' with a filter condition
  C. Open the Excel file, remove all columns that do not have the suffix '_c', and save the file to be loaded
  D. Deselect the fields that do not have the '_c' suffix in the Data manager table preview
  D. Deselect the fields that do not have the '_c' suffix in the Data manager table preview

  ---

  Explanation

  When loading data from an Excel file with more than 100 columns, where only columns with the suffix _c are relevant, the most efficient approach is to use the Data Manager . The Data Manager provides a preview of the table being loaded,

  allowing the business analyst to deselect columns that do not have the _c suffix. This is a quick and straightforward method that avoids manual editing of the Excel file and allows the analyst to focus on the necessary columns.

  Key Concepts:

  Data Manager Preview: The Data Manager allows you to inspect and modify which columns will be loaded into the data model. The preview panel makes it easy to deselect columns that are not needed.

  Efficient Data Loading: By using the Data Manager, the business analyst can avoid loading unnecessary columns, ensuring a cleaner and more manageable data model.

  Why the Other Options Are Less Suitable:

  A. Load all columns: This would load unnecessary columns, leading to a bloated data model with duplicates and irrelevant data.

  B. Utilize filter functionality: While filtering could work, deselecting fields directly in the preview is more efficient and straightforward.

  C. Edit the Excel file: Manually editing the Excel file is unnecessary and could lead to errors, especially when Qlik Sense provides tools to handle this within the platform.

  References for Qlik Sense Business Analyst:

  Data Manager for Field Selection: Qlik Sense recommends using the Data Manager to inspect and selectively load data fields, which is particularly useful when dealing with large datasets.

  Thus, is the best solution because it allows for selective loading of relevant columns, making it the correct D answer.

• Question 39:

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

  ---

  Explanation

  A line chart is the most appropriate visualization for comparing two continuous measures (Profit and Revenue) over time. Line charts are designed to show trends and patterns over a continuous scale (such as time), making it ideal for this

  scenario where we need to observe how both Profit and Revenue vary across a period.

  Key Concepts:

  Continuous Scale: Line charts are specifically suited for continuous data like time, making them the preferred choice when tracking changes over time for multiple measures.

  Dual Measure Comparison: A line chart allows you to plot two measures on the same axis, making it easy to compare their trends over the same period.

  Why the Other Options Are Less Suitable:

  B. Bullet chart: A bullet chart is used to compare a single measure against a target, not for tracking two measures over time.

  C. Bar chart: Bar charts are better suited for comparing categorical data, not continuous measures over time.

  D. Scatter plot: Scatter plots are used to compare relationships between two measures but are not suited for continuous time-based comparisons.

  References for Qlik Sense Business Analyst:

  Line Charts for Time Series Data: Line charts are the recommended visualization for comparing multiple measures over time in Qlik Sense, especially when working with continuous data like Profit and Revenue.

  Thus, the line chart is the best choice for this scenario, making the correct answer. A

• Question 40:

  Refer to the exhibit.

  

  The users of a Qlik Sense app report slow performance. The app contains approximately 10 million rows of data. The business analyst notices the following KPI master measure definition:

  Left{ Trim( TransactionName), 1 ) * Right ( TransactionName, 5) Which steps should the business analyst complete to improve app performance?

  A. Ask the developer of the underlying database to change the structure of the field TransactionName.
  B. In the Data manager, use the Split function to split the field values with the underscore character as the separator. In the Data manager, use the Add calculated field function to multiply the 1st and the 3rd column of the split field. Reload the data.
  C. Change the master measure definition as follows: subfield( TransactionName, '',!)* subfieldl TransactionName, ' ', 3)
  D. In the Data manager, use the Replace function to remove the middle part of the field TransactionName
  B. In the Data manager, use the Split function to split the field values with the underscore character as the separator. In the Data manager, use the Add calculated field function to multiply the 1st and the 3rd column of the split field. Reload the data.

  ---

  Explanation

  The app is experiencing performance issues due to inefficient calculations in a master measure that processes the field TransactionName, which has a complex structure (e.g., "1_ABCDEFGHI_23454"). Let's analyze the available options and why Option B is the best solution.

  A. Ask the developer of the underlying database to change the structure of the field TransactionName.While modifying the data structure in the underlying database might improve performance, this approach is not ideal. It's a time-consuming process that might not be feasible, especially when working with large datasets that have already been integrated into the Qlik Sense app. The performance improvement should focus on optimizing the Qlik app itself.

  B. In the Data manager, use the Split function to split the field values with the underscore character as the separator. In the Data manager, use the Add calculated field function to multiply the 1st and the 3rd column of the split field. Reload the data.This is the most efficient approach. By using the Split function in the Data Manager to break down the TransactionName field based on the underscore separator, the data becomes more accessible for calculations. You can then create a calculated field that multiplies the first and third components of the split data (corresponding to the 1st part and the numeric identifier at the end). This reduces the need for complex string manipulation functions (e.g., Left, Right, Trim) within the master measure, which can be resource-intensive when applied to large datasets.

  C. Change the master measure definition as follows: subfield( TransactionName, '',!) * subfield( TransactionName, '', 3)This option suggests using the subfield() function to split the string within the master measure itself. While this approach is valid, it doesn't provide as significant a performance improvement compared to pre-processing the data in the Data Manager . Calculating fields directly within the visualizations is more computationally expensive compared to handling it during the data load phase.

  D. In the Data manager, use the Replace function to remove the middle part of the field TransactionName.The Replace function would remove the middle section of the transaction name, but it doesn't address the need to split the field for efficient multiplication. It would also result in a loss of important data that may be required for other analyses.

  Key Qlik Sense Business Analyst

  References:

  The Data Manager provides powerful tools for transforming and optimizing data before it is used in visualizations. Pre-processing the data using functions like Split significantly reduces the load on front- end visualizations.

  Splitting fields during the data load rather than in the master measures improves performance, especially in large datasets where string manipulation functions in visualizations can degrade performance.

  Calculated fieldsallow analysts to create new expressions based on transformed data, ensuring that the app remains efficient while meeting analytical needs.

  Thus, the correct solution is touse the Split function to separate the field values and then use a calculated field to multiply the required components , which enhances app performance.