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CompTIA DY0-001 Exam - Topic 4 Question 8 Discussion

Actual exam question for CompTIA's DY0-001 exam
Question #: 8
Topic #: 4
[All DY0-001 Questions]

The term "greedy algorithms" refers to machine-learning algorithms that:

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Suggested Answer: D

Greedy algorithms build the solution iteratively by choosing at each step the option that appears best at that moment, without reconsidering earlier choices.


by Rusty at Jul 14, 2025, 12:25 AM

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Roxanne
2 months ago
I thought they examined every node before deciding?
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Rene
2 months ago
Totally agree, it's all about local optimization.
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Shaunna
3 months ago
They don't update priors, that's a different thing!
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Alishia
3 months ago
Wait, isn't that a bit simplistic for complex problems?
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Silva
3 months ago
Greedy algorithms make the locally optimal decision!
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Kristel
3 months ago
I’m a bit confused; I thought greedy algorithms were more about examining nodes in trees. Could it be B?
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Lonny
4 months ago
I feel like I’ve seen a question similar to this before, and it was definitely about local decisions. D seems right to me.
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Sherman
4 months ago
I remember something about updating priors, but I’m not sure if that’s what greedy algorithms do. Maybe it’s A?
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Michal
4 months ago
I think greedy algorithms are about making the best local choice at each step, so I’m leaning towards option D.
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Elvis
4 months ago
I'm a little uncertain about this one. The options seem to be describing different aspects of machine learning algorithms, but I'm not sure which one specifically applies to "greedy algorithms." I'll have to review my notes and see if I can figure this out.
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Heike
4 months ago
Okay, I've got this. Greedy algorithms are all about making the best decision at each step, even if it's not the absolute best overall solution. That sounds like option D to me - making the locally optimal decision. I'm confident that's the right answer.
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Vincenza
5 months ago
Hmm, I'm a bit confused on this one. I know greedy algorithms are used in machine learning, but I'm not sure exactly how they work. I'll have to think this through carefully.
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Lorita
5 months ago
I'm pretty sure this is asking about greedy algorithms, which are a type of optimization algorithm that makes the locally optimal choice at each stage with the hope of finding a global optimum. I think the answer is D.
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Boris
6 months ago
Exactly, it's all about immediate gratification in terms of decision-making.
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Dick
6 months ago
I feel like C is the way to go here. Applying a theoretical model to the data distribution seems like a pretty 'greedy' thing to do, don't you think? Gotta love those machine learning algorithms!
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Alesia
6 months ago
Haha, greedy algorithms, eh? Sounds like my friends when we go out for dinner - they just want the biggest plate and don't care about sharing! But in all seriousness, I'm going with D on this one.
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Oneida
5 months ago
I agree, D does sound like the best option for greedy algorithms.
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Bernardine
7 months ago
So, it's about choosing the option that seems best at the moment without considering the future consequences?
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Joanne
7 months ago
Hmm, I'm not so sure. I was thinking it might be B, since greedy algorithms often explore the entire decision tree before making a move. But D makes sense too. Decisions, decisions...
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Elvera
7 months ago
I agree with Boris, greedy algorithms aim to make the best choice at each step.
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Ahmed
7 months ago
D. This one seems obvious to me - greedy algorithms always go for the locally optimal decision, without considering the bigger picture. That's kinda their whole thing, right?
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Boris
7 months ago
I think it means making the locally optimal decision.
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Bernardine
7 months ago
What do you think the term 'greedy algorithms' refers to?
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