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Exam ACA-Database Topic 5 Question 75 Discussion
Alibaba Exam ACA-Database Topic 5 Question 75 Discussion
Actual exam question for Alibaba's ACA-Database exam
Question #: 75
Topic #: 5
[All ACA-Database Questions]
What is the maximum number of read-only nodes in a PolarDB cluster?
A
1
B
5
C
10
D
15
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Suggested Answer:
A, B, D, E
by
Tawny
at
Nov 13, 2024, 05:44 AM
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Margarita
15 days ago
Wait, does this mean I can have a 'polar bear' in my PolarDB cluster? I'm going with B, just to be on the safe side.
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Paul
16 days ago
This question is making me feel a bit 'polar-ized'. I'll go with A, just to keep things simple.
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Ellen
29 days ago
Ha! I bet the developers were feeling a bit 'polar' when they set the max at 15. I'm sticking with D just to see what happens.
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Kenny
9 hours ago
I'm going with option C, 10 read-only nodes.
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Stefanie
19 days ago
I think the max number of read-only nodes is 10.
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Macy
2 months ago
Wait, 15 read-only nodes? That sounds like a lot. I'm going to go with C, 10 seems more reasonable for a PolarDB cluster.
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Susy
21 days ago
Yeah, 15 read-only nodes does sound like a lot. I think C, 10, is the right choice.
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Therese
1 months ago
I agree, 10 read-only nodes does seem like a reasonable number for a PolarDB cluster.
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Lorita
2 months ago
Hmm, this seems like a tricky one. I'm guessing the answer is B, since 5 is a nice round number for a cluster, right?
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Alfreda
7 days ago
Thanks for clarifying. I'll remember that for next time.
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Carman
19 days ago
Exactly, it's not 5. It's 10 read-only nodes in a PolarDB cluster.
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Marleen
21 days ago
Oh, I see. That makes sense. So, it's not B) 5 after all.
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Kallie
1 months ago
I think the answer is actually C) 10, because PolarDB clusters can have up to 10 read-only nodes.
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Irene
2 months ago
I agree with Michel, C) 10 makes sense for better scalability and fault tolerance.
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Michel
2 months ago
I believe it's C) 10 because having more read-only nodes can improve read performance.
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Carin
2 months ago
I think the answer is A) 1.
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Margarita
15 days agoPaul
16 days agoEllen
29 days agoKenny
9 hours agoStefanie
19 days agoMacy
2 months agoSusy
21 days agoTherese
1 months agoLorita
2 months agoAlfreda
7 days agoCarman
19 days agoMarleen
21 days agoKallie
1 months agoIrene
2 months agoMichel
2 months agoCarin
2 months ago