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Qlik QSDA2024 Exam - Topic 3 Question 29 Discussion

Actual exam question for Qlik's QSDA2024 exam
Question #: 29
Topic #: 3
[All QSDA2024 Questions]

Refer to the exhibit.

A data architect needs to build a dashboard that displays the aggregated sates for each sales representative. All aggregations on the data must be performed in the script.

Which script should the data architect use to meet these requirements?

A)

B)

C)

D)

Show Suggested Answer Hide Answer
Suggested Answer: C

The goal is to display the aggregated sales for each sales representative, with all aggregations being performed in the script. Option C is the correct choice because it performs the aggregation correctly using a Group by clause, ensuring that the sum of sales for each employee is calculated within the script.

Data Load:

The Data table is loaded first from the Sales table. This includes the OrderID, OrderDate, CustomerID, EmployeeID, and Sales.

Next, the Emp table is loaded containing EmployeeID and EmployeeName.

Joining Data:

A Left Join is performed between the Data table and the Emp table on EmployeeID, enriching the data with EmployeeName.

Aggregation:

The Summary table is created by loading the EmployeeName and calculating the total sales using the sum([Sales]) function.

The Resident keyword indicates that the data is pulled from the existing tables in memory, specifically the Data table.

The Group by clause ensures that the aggregation is performed correctly for each EmployeeName, summarizing the total sales for each employee.

Key Qlik Sense Data Architect Reference:

Resident Load: This is a method to reuse data that is already loaded into the app's memory. By using a Resident load, you can create new tables or perform calculations like aggregation on the existing data.

Group by Clause: The Group by clause is essential when performing aggregations in the script. It groups the data by specified fields and performs the desired aggregation function (e.g., sum, count).

Left Join: Used to combine data from two tables. In this case, Left Join is used to enrich the sales data with employee names, ensuring that the sales data is associated correctly with the respective employee.

Conclusion: Option C is the most appropriate script for this task because it correctly performs the necessary joins and aggregations in the script. This ensures that the dashboard will display the correct aggregated sales per employee, meeting the data architect's requirements.


Contribute your Thoughts:

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Margart
1 day ago
I think Option B looks solid.
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Tu
6 days ago
I agree, Option B is the best choice for this scenario.
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Dylan
12 days ago
Wait, why would anyone choose Option D? That doesn't make sense!
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Craig
17 days ago
Definitely going with Option A! It seems the most straightforward.
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Carole
22 days ago
Option B is the way to go, no doubt about it.
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Latonia
27 days ago
Haha, I bet the exam writers are trying to trick us with these options!
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Herman
1 month ago
Hmm, I'm not sure. I think Option C might work too.
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Ollie
1 month ago
I agree, Option B seems to be the best choice here.
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Dorothy
1 month ago
I feel like I should choose Option B, but I have a nagging doubt about whether it performs the aggregation in the script as required.
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Kina
2 months ago
I think Option C looks familiar; it might be the one that correctly aggregates the sales by representative, but I'm not entirely sure.
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Melissia
2 months ago
I remember we practiced a similar question about aggregating sales data, but I can't recall the exact syntax for the script.
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Lai
2 months ago
I've got a good feeling about this one. Based on the requirements, I think Option C is the way to go. The script looks like it's performing the necessary aggregations on the sales data.
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Carolynn
2 months ago
Option B looks the most straightforward to me.
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Elouise
2 months ago
Okay, let's think this through step-by-step. The key is that the aggregations must be done in the script, not in the dashboard. I'll need to examine each script to see which one handles the aggregations as specified.
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Salley
2 months ago
I think Option B looks solid for aggregating sales.
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Dick
3 months ago
I wish I had reviewed the differences between the options more thoroughly; they all seem to blend together in my mind right now.
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Dottie
3 months ago
Not sure about Option C, it seems overly complicated.
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Ricki
3 months ago
Hmm, I'm a bit unsure about this one. The question is asking for a script that performs all the aggregations, but I'm not sure which of these options does that. I'll need to analyze each script closely.
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Lisha
3 months ago
This looks like a straightforward data aggregation question. I'll need to carefully review the scripts and determine which one performs the required aggregations on the sales data.
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