[2025年04月29日]Fast2test QSBA2024問題集でQlik Sense Business Analyst合格確定させる練習問題集
Qlik QSBA2024実際にある問題とブレーン問題集
質問 # 21
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. Mekko chart
- B. Scatter plot
- C. Combo chart
- D. Pie chart
正解：C
解説：
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.
質問 # 22
A business analyst is building an app to analyze virus outbreaks. They create a bar chart using a dimension of Continent, and a measure of Sum (Knowning sections). They require a secondary bar on the chart, so they create a second measure using Count (MajorCities).
The bar chart adjusts, but no bars are visible for this second measure. Which action should the business analyst take to resolve this issue?
- A. Enable Value labels within the Presentation section of the Appearance properties
- B. Recreate the second measure as an alternative measure
- C. Convert the bar chart to a combo chart and reconfigure the second measure to be a bar
- D. Change the Y-axis Range scale from Auto to Custom and select a suitable Max value
正解：C
解説：
In this scenario, the second measure (Count of MajorCities) is likely not being displayed because the two measures-Sum(Knowing sections) and Count(MajorCities)-are on vastly different scales. When two measures have significantly different ranges, one of them may not be visible on the same Y-axis, causing the issue you're seeing where no bars are visible for the second measure.
By converting the bar chart to a combo chart, the business analyst can display both measures with appropriate configurations. The combo chart allows you to display different measures in different ways, such as using one axis for the first measure (e.g., bars for Sum(Knowing sections)) and another axis for the second measure (e.g., bars for Count(MajorCities)), ensuring that both are visible on the chart.
Key Concepts:
Combo Chart: This type of chart allows you to display multiple measures using different axis scales or types of visualization (e.g., bars and lines).
Scale Mismatch: When two measures differ significantly in scale, they may not be displayed properly on the same axis. A combo chart helps by allowing separate Y-axes for each measure.
Why the Other Options Are Less Suitable:
A . Enable Value labels: While value labels can help show specific data points, they won't resolve the issue of one measure being invisible due to scale differences.
B . Recreate as an alternative measure: This would allow switching between measures, but the requirement is to show both measures simultaneously.
C . Change Y-axis Range to Custom: While adjusting the Y-axis manually might help, it's not the best solution because the scale difference between the two measures might still cause issues, and it would be harder to adjust dynamically.
References for Qlik Sense Business Analyst:
Combo Charts for Multiple Measures: Combo charts are recommended in Qlik Sense when you need to display multiple measures with different scales.
Thus, converting the bar chart to a combo chart ensures both measures are properly displayed, making D the correct answer.
質問 # 23
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 scatter plot using K-Means to color the products and add a median sales volume reference line
- B. Create a pivot table and color the sales volume cell using K-Means function and median sales volume as an additional column
- C. Create a combo chart with K-Means colors for the bar and a line measure representing median sales volume
- D. Create a treemap visualization showing sales volume and margin% by product with the median sales volume in the title
正解：A
解説：
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.
質問 # 24
Refer to the exhibit.
Refer to the exhibits.
A business analyst must add a list of temporary employees (interns) to the current sales app. The app contains an existing employees table. When the business analyst profiles the data, the association view displays possible associations as shown.
Which action should the business analyst take in Data manager to meet the requirements?
- A. Create an association between the EmpID and EmployeelD fields
- B. Create a concatenated key to associate the Employees and InternEmp tables
- C. Concatenate the InternEmp table to the Employees tables within Data manager
- D. Force an association between the InternEmp and the Orders tables
正解：A
解説：
The InternEmp table contains information about temporary employees (interns), and the Employees table contains regular employee data. To properly link these two tables, the business analyst needs to create an association between the EmpID in the InternEmp table and the EmployeeID in the Employees table. This will ensure that the two tables are correctly associated based on the employee identifiers, allowing the system to relate both tables in the data model.
Key Concepts:
Association: Qlik Sense automatically suggests associations between tables based on field names. By linking EmpID from InternEmp with EmployeeID from Employees, the tables can be properly related in the data model.
Association View: The association view in Data Manager helps visualize how tables are connected and suggests appropriate links between tables based on common fields.
Why the Other Options Are Less Suitable:
A . Create a concatenated key: Concatenation is unnecessary for this scenario since the data model relies on direct associations between keys.
B . Concatenate the tables: Concatenating the InternEmp table into the Employees table would combine the records, but it's not appropriate since the two tables should remain separate entities.
C . Force an association between InternEmp and Orders: There's no need to associate InternEmp with Orders directly since the focus is on employees and interns.
References for Qlik Sense Business Analyst:
Field Associations in Qlik Sense: Properly associating fields between tables is crucial for building a clean and efficient data model in Qlik Sense.
Thus, creating an association between EmpID and EmployeeID is the best approach, making D the correct answer.
質問 # 25
A business analyst is creating a data model from several Excel files that contain several hundred thousand rows of dat a. The requirements include:
* Users need to drill down to various details within the available data set.
* Several final measures will be repeatedly used. These final measures require combining several fields in a single table.
* User experience and load time is a high priority.
Which action should the business analyst take to meet these requirements?
- A. Combine the various source fields in a calculated item in the Data manager
- B. Develop a master item using the required source fields
- C. Combine the source fields and create additional fields in Excel
- D. Aggregate the data to the source period
正解：B
解説：
In Qlik Sense, creating Master Items allows business analysts to define fields, dimensions, and measures that are used consistently across the app. This is particularly important for measures that will be used repeatedly. By defining these as master items, you ensure that all calculations are consistent and optimized for user experience and performance. This approach also supports drill-down capabilities while ensuring a responsive user experience.
Key Concepts:
Master Items: Master Items are reusable definitions for dimensions, measures, and visualizations. When you create a measure as a Master Item, it becomes available for use across different visualizations, ensuring consistency and reducing duplication of effort.
User Experience and Load Time: Using Master Items optimizes performance, as Qlik Sense caches the results of these items, reducing the need for recalculating complex measures each time they are used.
Why the Other Options Are Less Suitable:
A . Aggregate the data to the source period: While aggregation could reduce the data volume, it would limit the ability to drill down to the detailed levels required by the users.
C . Combine the various source fields in a calculated item in the Data manager: While you could create calculated fields, this method would be less efficient than defining measures in the Master Items library. Calculations done outside Master Items would need to be manually repeated in each visualization, leading to inconsistencies.
D . Combine the source fields and create additional fields in Excel: This would not optimize user experience or load time, as it relies on modifying source data outside of Qlik Sense and could lead to unnecessary data duplication and inefficiencies.
References for Qlik Sense Business Analyst:
Master Items Best Practices: Qlik Sense promotes the use of Master Items for consistent measure definition and reuse, as they improve performance and ensure consistency across multiple visualizations.
By creating a Master Item, the business analyst ensures a streamlined and efficient user experience, making B the best and verified option for this scenario.
質問 # 26
A business analyst is creating an app for the team. A set of selections must be applied every time an app is opened. Which action should the business analyst take to meet this requirement?
- A. Create bookmark and set it as default bookmark
- B. Use a sheet action and apply a bookmark named 'Default
- C. Use Section Access to predefine the default selections
- D. Create a mashup and use the API to apply default selections
正解：A
解説：
In Qlik Sense, default bookmarks allow a set of selections to be applied automatically whenever the app is opened. By creating a bookmark and setting it as the default, the business analyst ensures that the required selections are applied every time the app is opened, which meets the requirement of consistently applying the same selections for all users.
Key Concepts:
Default Bookmark: A default bookmark automatically applies the saved selections when an app is opened, ensuring consistency without manual input from users.
Bookmarking: This feature allows users to save specific selections or states of a dashboard for later use.
Why the Other Options Are Less Suitable:
A . Section Access: Section Access controls data access and security, not default selections.
B . Mashup with API: While this could technically work, it's unnecessarily complex and requires custom coding.
C . Sheet Action: A sheet action could apply a bookmark but would not ensure that the selections are applied at the time of app opening.
References for Qlik Sense Business Analyst:
Default Bookmark for Predefined Selections: This feature is commonly used to ensure that specific selections are always applied when an app is opened.
Thus, D is the best solution for applying default selections, making it the correct answer.
質問 # 27
A company has recently implemented Qlik Sense. A user is looking to use natural language questions to help create content. Which feature can achieve this goal?
- A. Advanced Authoring
- B. Associative Engine
- C. Story and Bookmarks
- D. Insights Advisor Chat
正解：D
解説：
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.
質問 # 28
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
正解：B
解説：
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.
質問 # 29
A data analyst is working on a new Qlik Sense application and realizes that some of the required data sources have already been used in previous applications. To streamline the data loading process and maintain consistency, the analyst decides to leverage existing data connections.
What actions should the analyst take to utilize the pre-existing data connections in Qlik Sense?
- A. Access the Data load editor and select the desired data connection from the list of available connections
- B. Use a Qlik Sense extension to search and replicate data connections from other applications
- C. Copy the script from the old application and paste it into the new application's script editor
- D. Export the data connection from the old application and import it into the new one
正解：A
解説：
In Qlik Sense, data connections are reusable objects that allow multiple apps to connect to the same data sources. To leverage existing connections, the business analyst should go to the Data Load Editor and select the desired connection from the list of available connections. This ensures that the analyst uses the same data sources, promoting consistency across apps.
Key Concepts:
Data Connections: Qlik Sense allows users to create and manage connections to external data sources. These connections can be reused across multiple applications.
Data Load Editor: This is where existing data connections can be accessed and used in new applications, streamlining the data loading process.
Why the Other Options Are Less Suitable:
A . Copy the script from the old application and paste it into the new application's script editor: While this could work, it's not the most efficient method, as it doesn't reuse the existing data connection object, and it's prone to errors.
C . Export the data connection from the old application and import it into the new one: Qlik Sense doesn't require exporting and importing data connections since they are already available globally for reuse across apps.
D . Use a Qlik Sense extension to search and replicate data connections: This is unnecessary because Qlik Sense already allows direct access to existing data connections through the Data Load Editor.
References for Qlik Sense Business Analyst:
Reusing Data Connections: One of the key features of Qlik Sense is its ability to reuse data connections across apps, which helps maintain consistency and reduces the need for redundant setups.
Thus, the correct approach is to access the Data Load Editor and select the pre-existing data connection, making B the verified answer.
質問 # 30
The VP of Finance is requesting a presentable solution that allows them to share finance information in monthly meetings with C-suite executives. Given the monthly meeting agendas, the solution must be customizable.
Which Qlik Sense feature should be implemented to meet this requirement?
- A. Action Buttons
- B. Bookmarks
- C. Insight Advisor Chat
- D. Storytelling
正解：D
解説：
Storytelling in Qlik Sense allows business users to create dynamic presentations based on data insights. This feature is ideal for executives like the VP of Finance who need to share financial insights in meetings. Storytelling allows users to create guided stories from data visualizations, offering a customizable solution that can be tailored to the monthly meeting agendas.
Key Concepts:
Storytelling: This feature enables users to create data-driven stories with snapshots from Qlik Sense visualizations, allowing for dynamic, customized presentations that can be updated as data changes.
Customizable: The VP of Finance can customize the presentation each month to focus on relevant financial metrics and insights.
Why the Other Options Are Less Suitable:
B . Insight Advisor Chat: While helpful for querying data interactively, this option is not suited for presenting data in a structured, presentable format to executives.
C . Action Buttons: Action buttons are used for navigating or interacting within apps, but they are not relevant for creating presentations.
D . Bookmarks: Bookmarks save specific selections, but they don't provide the dynamic, presentable format needed for meetings.
References for Qlik Sense Business Analyst:
Storytelling in Qlik Sense: This feature is often recommended for creating interactive, data-driven presentations, especially for executive-level meetings.
Thus, Storytelling offers the most effective solution for presenting financial data in a customizable format, making A the correct answer.
質問 # 31
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 a single sheet with every required chart on this single sheet
- B. Use Conditional show on all charts and overlay the charts in the same location
- C. Create several sheets (one sheet per client) and use buttons to navigate between sheets
- D. Use a container object to host the required visualizations
正解：D
解説：
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.
質問 # 32
Two customers in an organization want to use an app that contains a finance data set. With different analysis objectives, each customer will only use a subset of that data. Which procedure should the business analyst follow?
- A. Apply Section Access to manage the data for each customer
- B. Unpivot, then re-associate the data tables for each customer
- C. Create multiple visualizations using set analysis
- D. Duplicate and rename the apps for each customer
正解：C
解説：
In Qlik Sense, Set Analysis is one of the most powerful tools available to a Business Analyst for managing different subsets of data within the same app. Since both customers are working with the same finance dataset but have different objectives, creating multiple visualizations using set analysis allows the analyst to tailor the data views for each customer without duplicating the app or creating complex data models.
Key Concepts:
Set Analysis: This feature enables the creation of expressions that define subsets of data, allowing you to filter data within specific visualizations. This is ideal when multiple users need different insights from the same underlying dataset.
Flexibility: Using set analysis, you can specify conditions within individual visualizations so that each user can focus on their own segment of the data without impacting others.
Efficiency: This method avoids redundancy by ensuring you only need one app and one data model, instead of duplicating and maintaining multiple apps or applying complex logic such as Section Access.
Why the Other Options Are Less Suitable:
A . Apply Section Access: While Section Access is useful for managing security and limiting what users can see in the entire dataset, it is primarily designed to restrict data access based on user roles. In this case, both users need access to the same dataset but will conduct different analyses. Section Access would be an overly restrictive and complex solution for this scenario.
C . Duplicate and rename the apps: This is inefficient because it leads to redundancy and makes maintenance harder (e.g., any changes to the dataset or visualizations would need to be applied to both apps). It also increases the risk of inconsistencies across versions of the app.
D . Unpivot and re-associate the data tables: This option is not relevant to the problem, as unpivoting is more appropriate for transforming datasets rather than tailoring views for different users within the same app. It does not address the need for customer-specific analysis objectives.
References for Qlik Sense Business Analyst:
Set Analysis: In the Qlik Sense Business Analyst's toolkit, Set Analysis is covered as a method to manage diverse data subsets within single apps, providing the flexibility needed in multi-user environments without duplicating content.
Efficient Application Design: Best practices suggest maintaining a single app where possible to ensure consistency and ease of maintenance, which aligns with the approach of using Set Analysis.
By using Set Analysis, you provide both customers with tailored data views that are easily managed and updated within a single app. This is why option B is the most effective and verified solution.
質問 # 33
A company director who spends very little time in applications needs to be informed when a threshold is breached. Which feature should the business analyst use?
- A. Storytelling
- B. Bookmark
- C. Alerting
- D. Weekly PDF report
正解：C
解説：
To inform a company director when a threshold is breached, Alerting is the most appropriate feature. Qlik Sense allows users to set up automated alerts based on specific conditions or thresholds. These alerts can be configured to notify users when certain criteria are met, making it ideal for keeping the director informed without requiring them to constantly check the application.
Key Concepts:
Alerting: This feature allows users to set conditions (such as when a sales or performance threshold is breached) and automatically send notifications to the relevant individuals.
Automated Notifications: Alerting ensures that the director is notified promptly and automatically when a critical threshold is reached.
Why the Other Options Are Less Suitable:
A . Weekly PDF report: A weekly report would not provide real-time notifications, which are necessary when thresholds are breached.
B . Storytelling: Storytelling is used for presentations, not for monitoring thresholds.
D . Bookmark: A bookmark only saves a particular selection or view, and cannot send notifications when a condition is met.
References for Qlik Sense Business Analyst:
Alerting in Qlik Sense: Qlik Sense's alerting functionality is designed to notify users when specific conditions are triggered, making it ideal for scenarios where timely notifications are critical.
Thus, using Alerting is the best solution to notify the director when a threshold is breached, making C the verified answer.
質問 # 34
The CEO has requested a dashboard that tracks the company's performance. The main requirements for the dashboard:
* Minimal number of visualizations or objects
* Display multiple key measures
* Ability to easily navigate to other sheets
Which features would meet the requirements?
- A. A container with multiple visualizations
- B. Multi KPI with master visualizations
- C. Dynamic text and image linked objects
- D. A bookmark to selected key measures
正解：B
解説：
The Multi KPI object is designed to display multiple key measures in a compact and visually appealing format, making it ideal for a dashboard that requires a minimal number of visualizations but must present multiple key metrics. By using master visualizations, the business analyst ensures consistency and reusability across different sheets. This setup also allows for easy navigation through the app, as users can drill down into more detailed sheets when needed.
Key Concepts:
Multi KPI: This visualization allows multiple key performance indicators (KPIs) to be displayed in a single object, reducing the need for multiple charts or visualizations while ensuring that critical metrics are visible.
Master Visualizations: These ensure that KPIs are consistent across the app and can be reused as needed, helping to maintain a clean and efficient dashboard.
Why the Other Options Are Less Suitable:
B . Dynamic text and image linked objects: This could work for navigation, but it wouldn't meet the requirement of displaying multiple key measures in a minimal number of visualizations.
C . Bookmark: A bookmark is used to save a particular state of selections but isn't useful for showing multiple KPIs simultaneously.
D . Container: While containers can hold multiple visualizations, the Multi KPI object is more suited to displaying multiple key measures in a compact space.
References for Qlik Sense Business Analyst:
Multi KPI for Compact Dashboards: Qlik Sense recommends using Multi KPI objects when there is a need to display multiple key metrics in a minimalistic format.
Thus, A is the best choice to meet the CEO's requirements, making it the correct answer.
質問 # 35
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. Deselect the fields that do not have the '_c' suffix in the Data manager table preview
- B. Utilize filter functionality in the Data manager to select only columns with the suffix '_c' with a filter condition
- C. Load all columns because the recommended associations will use only columns with the suffix '_c'
- D. Open the Excel file, remove all columns that do not have the suffix '_c', and save the file to be loaded
正解：A
解説：
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, D is the best solution because it allows for selective loading of relevant columns, making it the correct answer.
質問 # 36
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:
* Starts with the top five products
* Allows the user to change the number of products displayed
* 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. * Use the variable to fix the limitation
* Add an input box to enable the user to enter the required value - B. * Use the variable to fix the limitation
* Add a slider object and use the variable to set its value - C. * Add the slider object and use the variable to set its value
* Set the number of bars to custom and use the variable to set its value - D. * Add the slider object and use the variable to set its value
* Use the properties to set the number of bars to custom
正解：C
解説：
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 A the verified answer.
質問 # 37
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. Cleanse the source text file prior to loading
- B. Use the Replace option in Data manager
- C. Load a lookup table to convert values
- D. Create a calculated master dimension expression
正解：C
解説：
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 B is the verified solution.
質問 # 38
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. Bar chart
- C. Scatter plot
- D. Bullet chart
正解：A
解説：
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 A the correct answer.
質問 # 39
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. Governed self-service
- C. Data model viewer
- D. Insight Advisor
正解：A
解説：
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 search
This 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 viewer
The 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 Advisor
The 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-service
Governed 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 Search in 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.
質問 # 40
Refer to the exhibit.
An app that will track experiments for rodents (e.g., rats and mice) that navigate mazes (labyrinths) is being developed. Individual rodents are catalogued in the Rodent table, while the Mazes table has metadata for the mazes. The MazeEscapes table holds a record of each attempt at a maze by a rodent. A business analyst needs to build a KPI that will allow users to see how many rodents have made at least one attempt at any maze.
How should the analyst construct the KPI?
- A. * Create 1 AS RodentID_Counter in the Rodent table.
* Use Sum (RodentlD Counter) as the KPI expression. - B. Create 1 AS RodentID_Counter in the MazeEscapes table.
Use Sum (RodentlD Counter) as the KPI expression. - C. * Create RodentlD AS RodentID_Counter in the MazeEscapes table.
* Use Count (Distinct RodentlD Counter) as the KPI expression. - D. * Create RodentlD AS RodentlD Counter in the Rodent table.
* Use Count (Distinct RodentID Counter) as the KPI expression.
正解：C
解説：
In this case, we need to count how many unique rodents have made at least one attempt at any maze. Since the relationship between the Rodent table and the MazeEscapes table is a one-to-many relationship (each rodent may attempt several mazes), the best approach is to base the calculation on the MazeEscapes table, as it holds the actual records of rodent attempts.
By creating a new field RodentID_Counter in the MazeEscapes table, the analyst ensures that each rodent's attempt is captured. Using the Count (Distinct RodentID_Counter) as the KPI expression then accurately counts each unique rodent that has made at least one attempt, without counting multiple attempts by the same rodent.
Key Concepts:
Distinct Count: The distinct count ensures that rodents who have made multiple maze attempts are only counted once.
MazeEscapes Table: This table holds the records of each attempt, making it the correct source for this KPI.
Why the Other Options Are Less Suitable:
B . Sum (RodentID_Counter) in the Rodent table: This would incorrectly sum the number of rodents rather than counting unique attempts, leading to inaccurate results.
C . Sum (RodentID_Counter) in the MazeEscapes table: Summing the counter would not account for the distinct rodents, leading to incorrect counting.
D . RodentID_Counter in the Rodent table: This would not correctly reflect the rodents that have made an attempt, as not every rodent in the Rodent table may have attempted a maze.
References for Qlik Sense Business Analyst:
Distinct Count in KPI: It is best practice to use Count(Distinct ...) when working with KPIs that require unique counts, such as counting distinct rodents in this scenario.
Thus, A is the verified answer because it ensures that each rodent is counted once, based on their attempts in the MazeEscapes table.
質問 # 41
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