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Qlik QSDA2024 Exam - Topic 3 Question 13 Discussion

Actual exam question for Qlik's QSDA2024 exam
Question #: 13
Topic #: 3
[All QSDA2024 Questions]

A data architect needs to load large amounts of data from a database that is continuously updated.

* New records are added, and existing records get updated and deleted.

* Each record has a LastModified field.

* All existing records are exported into a QVD file.

* The data architect wants to load the records into Qlik Sense efficiently.

Which steps should the data architect take to meet these requirements?

Show Suggested Answer Hide Answer
Suggested Answer: D

When dealing with a database that is continuously updated with new records, updates, and deletions, an efficient data load strategy is necessary to minimize the load time and keep the Qlik Sense data model up-to-date.

Explanation of Steps:

Load the existing data from the QVD:

This step retrieves the already loaded and processed data from a previous session. It acts as a base to which new or updated records will be added.

Load new and updated data from the database. Concatenate with the table loaded from the QVD:

The next step is to load only the new and updated records from the database. This minimizes the amount of data being loaded and focuses on just the changes.

The new and updated records are then concatenated with the existing data from the QVD, creating a combined dataset that includes all relevant information.

Create a separate table for the deleted rows and use a WHERE NOT EXISTS to remove these records:

A separate table is created to handle deletions. The WHERE NOT EXISTS clause is used to identify and remove records from the combined dataset that have been deleted in the source database.


Contribute your Thoughts:

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Lynelle
3 months ago
Wait, can you really load data like that without losing anything?
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Adelle
3 months ago
A looks good, but INNER JOINs can be heavy on performance.
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Margarett
3 months ago
I’m not sure about using PEEK for deletions, feels risky.
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Patrick
4 months ago
I think D is better for managing deleted records.
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Lauran
4 months ago
Option B seems the most efficient for handling updates.
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Tina
4 months ago
I’m leaning towards option A, but I’m not entirely sure if concatenating with the QVD data is the most efficient way to handle updates.
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Dick
4 months ago
I feel like option D might be the right choice since it talks about handling deleted rows, but I’m a bit confused about how to implement the WHERE NOT EXISTS part.
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Fletcher
4 months ago
I think option B sounds familiar because it mentions using a partial LOAD, which we practiced in class. I just can't recall how the PEEK function works in this context.
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Fernanda
5 months ago
I remember we discussed the importance of using the LastModified field to filter out updated records, but I'm not sure which option does that best.
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Lisandra
5 months ago
This is a great question that really tests our understanding of efficient data loading techniques in Qlik Sense. I feel confident I can work through this step-by-step.
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Mariko
5 months ago
The key here is using the LastModified field to identify the new and updated records. I'm leaning towards Option B as it seems to leverage that effectively.
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Shawna
5 months ago
Okay, I think I've got a handle on this. Option D looks like the most straightforward way to handle the new, updated, and deleted records efficiently.
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Walton
5 months ago
Hmm, I'm a bit confused by the different approaches. I'll need to review the details closely to understand the nuances between the options.
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Willie
5 months ago
This looks like a tricky one. I'll need to carefully consider the options to make sure I don't miss anything.
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Desire
1 year ago
Hold up, why are we even using a QVD file? Isn't that just adding an extra step? Let's just go straight from the database to Qlik Sense!
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Edna
1 year ago
It also allows for incremental loading and helps in managing large amounts of data efficiently.
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Tommy
1 year ago
Using a QVD file helps with performance and reduces the load on the database.
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Kanisha
1 year ago
Option C is interesting, but I'm not convinced that loading all the records from the key field is necessary. Wouldn't that be overkill?
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Tori
1 year ago
Ernestine: That's a good point, it might be worth exploring Option B as well.
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Stephaine
1 year ago
User 3: What about Option B? Using a partial LOAD and PEEK function could be more streamlined.
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Ernestine
1 year ago
User 2: I agree, maybe we can consider a more efficient way to handle the data.
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Dominic
1 year ago
User 1: Option C seems like a good approach, but loading all records from the key field may be unnecessary.
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Malcom
1 year ago
But option A includes loading all records from the key field, which might not be necessary.
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Brande
1 year ago
I disagree, option C seems more efficient to me.
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Sang
1 year ago
Option A looks good, but I'm not sure about the INNER JOIN on the key field. Seems like it could potentially miss some records.
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Twanna
1 year ago
User1: True, Option D could work too with creating a separate table for deleted rows.
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Ellen
1 year ago
User3: I see your point, but Option C also looks promising with loading new and updated data first.
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Buddy
1 year ago
User2: Yeah, I think Option B might be safer with the partial LOAD and PEEK function.
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Tasia
1 year ago
User1: Option A seems solid, but I agree, the INNER JOIN might be risky.
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Malcom
1 year ago
I think the data architect should take option A.
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Golda
1 year ago
I think Option D is the way to go. Keeping the deleted records in a separate table and using a WHERE NOT EXISTS to remove them is a clean solution.
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Jin
1 year ago
Option B seems the most efficient approach. Using a partial LOAD to get the updated data and then concatenating it with the existing data from the QVD is a smart move.
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Vallie
1 year ago
User 4: Definitely, Option B is the most logical approach for the data architect in this scenario.
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Desirae
1 year ago
User 3: I think Option B is the best choice here. It covers all the necessary steps for loading the data efficiently.
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Kristeen
1 year ago
User 2: Agreed, that method sounds efficient. Using PEEK to remove deleted rows is a good idea too.
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Elza
1 year ago
User 1: Option B seems like the way to go. Partial LOAD for updated data and concatenating with existing QVD data.
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