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IBM Exam C1000-162 Topic 5 Question 38 Discussion

Actual exam question for IBM's C1000-162 exam
Question #: 38
Topic #: 5
[All C1000-162 Questions]

How can adding indexed properties to QRadar improve the efficiency of searches?

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Suggested Answer: A

Adding indexed properties to QRadar can significantly improve the efficiency of searches by reducing the size of the data set required to locate matches for non-indexed search values. Indexing creates references to unique terms in the data and their locations, which means that the search engine can filter the data set by indexed properties first, eliminating irrelevant portions of the data set and thereby reducing the overall volume of data that needs to be searched.


by Bronwyn at Jul 14, 2025, 10:59 AM

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Chauncey
3 days ago
I think adding indexed properties allows QRadar to quickly locate relevant data, similar to a practice question we did about optimizing search efficiency.
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Lilli
9 days ago
I remember that indexed properties help speed up searches, but I'm not entirely sure how they reduce the data set size.
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Johnetta
14 days ago
I'm a bit confused by this question. Does adding indexed properties actually improve efficiency, or could it slow things down? I'll have to review my notes on indexing in QRadar to make sure I understand this properly.
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Clemencia
20 days ago
Okay, let's see. Indexing should help reduce the data set needed for searches, so I'm guessing the answer is A. But I want to double-check that before committing to an answer.
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Kirk
25 days ago
Hmm, I'm a little unsure about this one. I know indexing is supposed to improve search performance, but I'm not sure exactly how it works in this context. I'll have to think it through carefully.
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Margart
1 months ago
This seems like a straightforward question about indexing and search efficiency. I'm pretty confident I can figure this out.
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Daron
2 months ago
I'm stumped, this question is trickier than a Rubik's Cube. Maybe I should just use my QRadar to search for the answer.
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France
1 months ago
A) By reducing the size of the data set required to find non-indexed search values
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Christa
3 months ago
D just doesn't make sense. Why would you want to reduce the number of indexed search values? That's like the whole point of indexing!
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Maryann
3 months ago
C is the way to go. Slowing down the search process is the last thing I want when dealing with large datasets in QRadar.
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Earnestine
2 months ago
C) By slowing down the search process
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Georgene
2 months ago
User 2: Definitely, we need to make sure our searches are efficient.
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Shakira
2 months ago
User 1: I agree, slowing down the search process is not ideal.
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Karl
3 months ago
B) By increasing the size of the data set required to find non-indexed search values
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Ira
3 months ago
A) By reducing the size of the data set required to find non-indexed search values
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Portia
3 months ago
I agree, having indexed properties would definitely improve efficiency
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Tonette
4 months ago
That makes sense, it would make searches faster
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Pamela
4 months ago
A) By reducing the size of the data set required to find non-indexed search values
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Nada
4 months ago
I'm going with B. Increasing the data set size for non-indexed values seems counterintuitive for improving efficiency.
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Tamekia
3 months ago
I agree, reducing the data set size makes more sense for efficiency.
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Mirta
3 months ago
A) By reducing the size of the data set required to find non-indexed search values
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Allene
4 months ago
Definitely option A. Indexing properties in QRadar makes searching much more efficient by narrowing down the data set to only the relevant information.
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Jarod
4 months ago
User 3: It's all about narrowing down the data set to find what you need.
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Lashawn
4 months ago
User 2: Indexing properties really help speed up the process.
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Jessenia
4 months ago
User 1: I agree, option A is the way to go for improving search efficiency.
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