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Oracle Exam 1Z0-1093-25 Topic 1 Question 5 Discussion

Actual exam question for Oracle's 1Z0-1093-25 exam
Question #: 5
Topic #: 1
[All 1Z0-1093-25 Questions]

When considering autoscaling for provisioned throughput in NoSQL Database Cloud Service, which metric is LEAST relevant for determining when to scale up the capacity units?

Show Suggested Answer Hide Answer
Suggested Answer: A

A . CPU utilization of the compute instances hosting the database:

Autoscaling in NoSQL Database Cloud Service primarily focuses on RCUs (Read Capacity Units) and WCUs (Write Capacity Units).

The objective is to dynamically adjust capacity based on query workload, not on CPU utilization.

Even if CPU usage is high, it might not necessarily indicate that the capacity units are inadequate.

Why the other options are more relevant:

B . Rejected read requests (RCUs): Direct indicator that read capacity is insufficient, requiring scaling.

C . Rejected write requests (WCUs): Indicates that the write throughput is inadequate, necessitating scaling.

D . Latency of read and write operations: Increased latency often points to under-provisioned throughput.


Oracle NoSQL Database Cloud Service Documentation: Autoscaling Throughput

Contribute your Thoughts:

Patrick
23 days ago
I bet the answer is option C. After all, who needs to write data when you can just make it up as you go along? That's the true spirit of the cloud, am I right?
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Buck
8 days ago
Option C is actually very relevant for determining when to scale up capacity units. Writing data is a crucial operation in a database.
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Irma
28 days ago
Ah, the age-old question: which metric is the least relevant? I say we just throw a dart at the options and call it a day. That's how I usually approach these things.
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Lavonda
1 months ago
Hmm, I'm going with option B. I mean, who even reads these days? Writes are where it's at. Gotta keep those writes flowing!
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Adelina
4 days ago
User 3: Agreed, keeping the writes flowing is key. Option B it is.
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Gilma
8 days ago
User 2: Yeah, writes are definitely more important. Can't have those rejected write requests.
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Cecilia
18 days ago
User 1: I think option B is the way to go. Reads are so last season.
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Olive
1 months ago
I'd say option D is the least relevant. Latency? Who cares about that? As long as the data gets in and out, that's all that matters!
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Shawna
15 days ago
User 3: I still think latency is not as important as the other metrics. We should focus on throughput.
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Louann
17 days ago
User 2: I agree with Louann. Latency can impact user experience.
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Mona
1 months ago
User 1: I think option D is actually important. Latency can affect performance.
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Thad
2 months ago
But if the CPU is not being fully utilized, why would we need to scale up?
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Kate
2 months ago
I disagree, I believe latency of read and write operations is the least relevant.
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Thad
2 months ago
I think CPU utilization is the least relevant metric.
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Kami
2 months ago
Option A seems like the obvious choice here. I mean, if the CPU is maxed out, that's a pretty clear sign that you need to scale up, right?
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Izetta
9 days ago
Latency can also be a crucial factor in determining when to scale up.
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Rueben
10 days ago
D) Latency of read and write operations.
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Jerry
11 days ago
Yeah, the number of rejected write requests is also important to consider for scaling up.
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Franklyn
12 days ago
C) Number of rejected write requests due to insufficient WCUs.
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Marylin
13 days ago
I think the number of rejected read requests is a good indicator of when to scale up.
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Alline
20 days ago
B) Number of rejected read requests due to insufficient RCUs.
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Rosina
1 months ago
D) Latency of read and write operations.
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Rex
1 months ago
C) Number of rejected write requests due to insufficient WCUs.
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Antonette
2 months ago
B) Number of rejected read requests due to insufficient RCUs.
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Timothy
2 months ago
A) CPU utilization of the compute instances hosting the database.
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