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Qlik QSBA2024 Exam - Topic 1 Question 24 Discussion

Actual exam question for Qlik's QSBA2024 exam
Question #: 24
Topic #: 1
[All QSBA2024 Questions]

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?

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Suggested Answer: B

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.


Contribute your Thoughts:

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Dortha
3 days ago
D) seems overly complicated. A) is the clear winner here.
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Alise
9 days ago
C) sounds like a lot of work. A) is the simplest solution.
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Shawnna
14 days ago
A) is the way to go. Keeps things organized and secure.
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Reita
19 days ago
Unpivoting data sounds familiar, but I’m not convinced it’s necessary for just providing subsets to different customers.
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Leandro
24 days ago
I practiced a similar question where duplicating apps seemed like a workaround, but it might not be the most efficient solution for managing data access.
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Yolando
29 days ago
I'm not entirely sure, but I remember something about set analysis being useful for different views of the same data. Could that work here?
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Elli
1 month ago
I think applying Section Access could be the right approach since it allows for data security and tailored access for each customer.
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Izetta
1 month ago
I'm leaning towards A. Keeping the data management simple and using Section Access seems like the best way to handle this scenario.
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Alline
1 month ago
Unpivoting and re-associating the data tables sounds interesting, but I'm not sure if that's the most efficient approach here. I might need to research that option a bit more.
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Veronica
2 months ago
Option C, duplicating and renaming the apps, seems like it could get messy. I'd want to avoid that if possible.
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Kenia
2 months ago
Hmm, I'm a bit unsure about this one. Creating multiple visualizations with set analysis could work, but it might be more complex than just using Section Access.
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Loren
2 months ago
I think I'd go with option A. Applying Section Access seems like the most straightforward way to manage the data for each customer.
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