CompTIA CV0-004 Exam - Topic 6 Question 29 Discussion

Actual exam question for CompTIA's CV0-004 exam

Question #: 29
Topic #: 6

[All CV0-004 Questions]

A systems administrator is provisioning VMs according to the following requirements:

* A VM instance needs to be present in at least two data centers.

. During replication, the application hosted on the VM tolerates a maximum latency of one second.

* When a VM is unavailable, failover must be immediate.

Which of the following replication methods will best meet these requirements?

ASnapshot

BTransactional

CLive

DPoint-in-time

Show Suggested Answer

Suggested Answer: D

A system that keeps all different versions of software separate from each other while providing access to all of the versions is best described by Code versioning. Code versioning systems, such as Git, allow developers to keep track of changes, revert to previous states, and manage multiple versions of codebases. Reference: CompTIA Cloud+ Study Guide (Exam CV0-004) by Todd Montgomery and Stephen Olson

by Ryan at Feb 07, 2025, 09:21 AM

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Alecia

6 months ago

Point-in-time is a no-go; it won't meet the two data center requirement.

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Georgiana

6 months ago

Wait, can live replication really handle that latency? Sounds risky!

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Teddy

6 months ago

Definitely not snapshot; that won't meet the immediate failover requirement.

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Kimbery

7 months ago

I think transactional replication could work too, but not as fast.

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Gail

7 months ago

Live replication is the way to go for low latency!

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Frederic

7 months ago

Point-in-time replication seems too slow for this scenario, given the one-second latency tolerance. I lean towards live replication as well.

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Ashlyn

7 months ago

I practiced a similar question, and I think snapshot replication wouldn't meet the immediate failover requirement.

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Kattie

7 months ago

I'm not entirely sure, but I feel like transactional replication could work too, especially with the latency requirement.

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Hailey

8 months ago

I remember studying replication methods, and I think live replication might be the best option since it allows for real-time data transfer.

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Tom

8 months ago

Okay, I think Live replication is the way to go. It can handle the low-latency and immediate failover, and if configured properly, it should be able to replicate across multiple datacenters as well.

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Janey

8 months ago

I'm a bit confused on the differences between the replication methods. I'll need to review the details of each one to determine which best fits all the requirements.

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Corinne

8 months ago

Live replication seems like the obvious choice here to meet the low-latency and failover requirements, but I'll need to double-check that it can also handle the multi-datacenter aspect.

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Jani

8 months ago

Hmm, the one-second latency limit during replication is a key constraint. I'll have to think about which method can meet that while also providing immediate failover.

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Joanna

8 months ago

This seems like a tricky one. I'll need to carefully consider the requirements around latency, failover, and multi-datacenter replication.

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Ligia

1 year ago

Live replication sounds risky to me. Imagine if the network hiccups - your app could be down for more than a second. Better play it safe with Point-in-time.

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Domonique

11 months ago

I would go with Point-in-time as well, better safe than sorry.

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Vilma

11 months ago

I think Point-in-time would be the best choice to meet the requirements.

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Sharika

11 months ago

Evelynn: Snapshot might not meet the requirement for immediate failover though.

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Jess

11 months ago

User 3: Snapshot replication could also work, right?

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Billye

12 months ago

I agree, live replication does sound risky. Point-in-time seems like a safer option.

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Evelynn

12 months ago

User 2: I think Point-in-time replication would be the safer choice.

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Lore

12 months ago

User 1: I agree, live replication does sound risky.

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Reynalda

1 year ago

Hmm, I'm not sure Live is the best option. With the need for cross-data center replication, Point-in-time might be a better fit to ensure data consistency.

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