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IBM C1000-162 Exam - Topic 5 Question 38 Discussion

How can adding indexed properties to QRadar improve the efficiency of searches?
A) By reducing the size of the data set required to find non-indexed search values
B) By increasing the size of the data set required to find non-indexed search values
C) By slowing down the search process
D) By reducing the number of indexed search values

IBM C1000-162 Exam - 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, 09:59 AM

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Janine
7 months ago
A is correct, I've seen it work wonders in practice!
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Delila
7 months ago
B seems off, more data should slow things down, right?
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Cherri
7 months ago
Wait, how does reducing the data set help? Sounds too good to be true.
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Noemi
8 months ago
I agree, A is the way to go!
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Kassandra
8 months ago
Definitely A! It makes searches way faster.
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Mohammad
8 months ago
I recall that indexed properties are supposed to improve search performance, but I can't remember if they actually reduce the number of indexed search values.
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Clay
8 months ago
I feel like the answer might be A, but I’m a bit confused about how it relates to non-indexed search values.
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Chauncey
8 months 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 months 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
9 months 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
9 months 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
9 months 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
9 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
11 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
10 months ago
A) By reducing the size of the data set required to find non-indexed search values
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Christa
11 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
12 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
10 months ago
C) By slowing down the search process
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Georgene
10 months ago
User 2: Definitely, we need to make sure our searches are efficient.
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Shakira
10 months ago
User 1: I agree, slowing down the search process is not ideal.
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Karl
11 months ago
B) By increasing the size of the data set required to find non-indexed search values
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Ira
11 months ago
A) By reducing the size of the data set required to find non-indexed search values
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Portia
12 months ago
I agree, having indexed properties would definitely improve efficiency
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Tonette
12 months ago
That makes sense, it would make searches faster
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Pamela
1 year ago
A) By reducing the size of the data set required to find non-indexed search values
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Nada
1 year 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
11 months ago
I agree, reducing the data set size makes more sense for efficiency.
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Mirta
12 months ago
A) By reducing the size of the data set required to find non-indexed search values
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Allene
1 year 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
12 months ago
User 3: It's all about narrowing down the data set to find what you need.
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Lashawn
12 months ago
User 2: Indexing properties really help speed up the process.
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Jessenia
12 months ago
User 1: I agree, option A is the way to go for improving search efficiency.
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