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Netskope NSK300 Exam - Topic 1 Question 41 Discussion

You are attempting to merge two Advanced Analytics reports with DLP incidents: Report A with 3000 rows and Report B with 6000 rows. Once merged, you notice that the merged report is missing a significant number of rows.What is causing this behavior?
B) Missing data is due to viewing limits.
D) Visualizations have a system limit of 5000 rows.
A) Netskope automatically deduplicates data in merged reports.
C) Filters are applied differently to dimensions and measures

Netskope NSK300 Exam - Topic 1 Question 41 Discussion

Actual exam question for Netskope's NSK300 exam
Question #: 41
Topic #: 1
[All NSK300 Questions]

You are attempting to merge two Advanced Analytics reports with DLP incidents: Report A with 3000 rows and Report B with 6000 rows. Once merged, you notice that the merged report is missing a significant number of rows.

What is causing this behavior?

Show Suggested Answer Hide Answer
Suggested Answer: B

When merging two Advanced Analytics reports in Netskope, if the merged report is missing rows, it is likely due to viewing limits within the system. Netskope's Advanced Analytics platform has limitations on the number of rows that can be viewed at once, which can result in missing data when dealing with large reports. This viewing limit ensures performance and manageability of the data within the system.


by Gracia at Jan 26, 2026, 10:35 AM

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Wilford
What about missing values? They might be causing the drop.
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Stacey
5 days ago
I think it’s due to mismatched keys in the datasets.
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Jackie
10 days ago
Could be filtering issues during the merge.
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Genevieve
15 days ago
Maybe there are duplicate rows in both reports?
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Helga
2 months ago
Are you sure both reports have the same structure?
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Francesco
2 months ago
Definitely sounds like a join problem.
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Veda
2 months ago
Wait, how can you lose rows? That sounds off.
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Benedict
3 months ago
I think it's more likely a filtering issue during the merge.
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France
3 months ago
Could be due to duplicate entries in the reports.
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Mertie
3 months ago
Maybe the reports were cursed by a data gremlin. Have you tried performing an exorcism on the merged file?
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Launa
3 months ago
Missing rows? Sounds like a job for the data ninjas! I bet they can find those pesky rows hiding somewhere.
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Glendora
3 months ago
Ah, the age-old problem of merging reports. Sounds like a classic case of the "data vanishing act." Time to bring in the data magicians!
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Tonette
3 months ago
Hmm, could be a DLP issue. Maybe some sensitive data got filtered out during the merge process. Worth investigating the DLP settings.
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Magdalene
4 months ago
The missing rows are likely due to a data mismatch between the two reports. I'd double-check the column names and data types to ensure they're aligned.
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Jill
4 months ago
I feel like I read that if the join type is incorrect, it could also result in missing rows. Maybe we need to check that too?
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Dell
4 months ago
I'm not entirely sure, but could it be that some rows in Report A or B have null values that prevent them from merging properly?
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Sheron
5 months ago
Wasn't there a practice question about data loss during merges? I think it had to do with different data types or formats.
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Felicitas
5 months ago
I remember something about how merging datasets can lead to missing rows if there are no matching keys.
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Maryln
5 months ago
Ah, I've seen this before. My guess is there's some kind of data quality issue, like mismatched formatting or missing values, that's causing the merge to fail. I'd start there.
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Jules
5 months ago
I'm a bit confused on this one. Is there a chance there are some DLP incidents that are only in one of the reports and not the other? That could explain the missing rows.
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Shasta
5 months ago
Okay, let's think this through. Could there be any duplicate rows or conflicting IDs causing issues with the merge? I'd dig into the data to investigate that.
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Bettina
6 months ago
Ugh, missing rows in a merged report is the worst. I'd try running a full outer join to see if that picks up any discrepancies between the two datasets.
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Lenita
6 months ago
Hmm, this seems like a tricky one. I'd start by double-checking the data types and column names in both reports to make sure they match up properly.
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