Netskope NSK300 Exam - Topic 1 Question 41 Discussion

Actual exam question for Netskope's NSK300 exam

Question #: 41
Topic #: 1

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?

BMissing data is due to viewing limits.

DVisualizations have a system limit of 5000 rows.

ANetskope automatically deduplicates data in merged reports.

CFilters are applied differently to dimensions and measures

Show Suggested 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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Sheron

4 days 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

10 days ago

I remember something about how merging datasets can lead to missing rows if there are no matching keys.

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Maryln

15 days 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

20 days 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

25 days 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

1 month 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

1 month 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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