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Qlik Exam QSBA2024 Topic 4 Question 12 Discussion

Actual exam question for Qlik's QSBA2024 exam
Question #: 12
Topic #: 4
[All QSBA2024 Questions]

A business analyst has access to all of a company's data for the past 10 years. The source table consists of the following fields: TransactionID, TransactionTime, Transaction Date, Transaction Year, Cardholder, Cardholder address, Cardissuer, and Amount.

Users request to create an app based on this source with the following requirements:

* Users only review the data for the past 2 years

* Data must be updated daily

* Users should not view cardholder info

Which steps should the business analyst complete to improve the app performance?

Show Suggested Answer Hide Answer
Suggested Answer: B

A box plot is the best visualization for displaying the distribution of salaries broken down by department with standard deviation indicators. Box plots show the spread of data, including key measures like quartiles, median, and outliers, which are useful for analyzing salary distributions. They also naturally incorporate standard deviation indicators through the spread of data.

Key Concepts:

Box Plot: This type of chart is designed for analyzing the distribution of data across different categories (in this case, departments). It shows the spread and variability of data, which can include standard deviations.

Why the Other Options Are Less Suitable:

A . Distribution plot: While a distribution plot can show spread, it's not as effective for showing standard deviation and is less suited for categorical breakdowns.

C . Histogram: A histogram shows the distribution of a single variable, but it doesn't provide the same detailed breakdown as a box plot.

D . Scatter plot: Scatter plots are used for showing relationships between two variables and are not suitable for showing standard deviation across departments.

References for Qlik Sense Business Analyst:

Box Plot for Distribution Analysis: Box plots are ideal for visualizing data distribution and variability across categories, making them the preferred choice for analyzing salary distribution by department.

Thus, the box plot is the best choice for visualizing salary distribution with standard deviation indicators, making B the verified answer.


Contribute your Thoughts:

Pa
1 months ago
Wait, they want to create an app based on 10 years of data, but only show the past 2 years? Sounds like someone's trying to hide something... *wink wink*
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Alba
2 days ago
B: Yeah, that way users can only see the data from the past 2 years and the app performance will be improved.
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Tori
7 days ago
A: Option D seems like the best choice to filter the data based on the transaction year and request a daily reload task.
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Lorean
1 months ago
Option A is a bit too simple. Relying solely on the reload function in the sheet Editor asset panel might not be enough to handle the daily updates.
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Matilda
1 months ago
Option D looks good too, but I'm not sure if relying on the system admin for the daily reload is the best approach. Better to automate that process.
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Bonita
7 days ago
True, but automating the daily reload task would be more efficient. We should consider that aspect as well.
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Herman
11 days ago
I agree, but option D also seems like a good option. We can apply a filter to extract data based on transaction year.
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Demetra
23 days ago
I think option B is the best choice. Using set analysis will help show data based on transaction year.
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Tresa
2 months ago
I agree, Option B is the way to go. Deleting the cardholder and time fields, along with the daily reload, will keep the app running smoothly and maintain data privacy.
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Ludivina
5 days ago
User 4: I agree, Option B seems like the most efficient choice for improving app performance.
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Angelo
13 days ago
User 3: The daily reload with an API is a smart move for keeping data up to date.
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Genevive
1 months ago
User 2: Yeah, deleting the sensitive info and using set analysis is key.
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Simona
1 months ago
User 1: Option B sounds good. It covers all the requirements.
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Tijuana
2 months ago
Option B seems the most comprehensive solution. Using set analysis and an API to perform a daily reload task would optimize the app's performance while ensuring the users only see data from the past 2 years.
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Willodean
2 months ago
I'm not sure, but option D also seems reasonable. Applying a filter to extract data based on transaction year can be effective.
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Dwight
2 months ago
I agree with Bulah. Also, using an API for daily reload task seems like a good idea.
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Bulah
2 months ago
I think option B is the best choice. Using set analysis will help show data based on transaction year.
upvoted 0 times
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