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GCDL Practice Question: A company's cloud architect explains that their…

This GCDL practice question tests your understanding of a company's cloud architect explains that their…. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

A company's cloud architect explains that their new system uses 'eventual consistency' for some data operations. A business stakeholder asks why the system won't always show the most up-to-date data immediately. What is the trade-off being made?

Question 1hardmultiple choice
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A company's cloud architect explains that their new system uses 'eventual consistency' for some data operations. A business stakeholder asks why the system won't always show the most up-to-date data immediately. What is the trade-off being made?

Answer choices

Why each option matters

Good practice is not just finding the correct option. The wrong answers often show the exact trap the exam wants you to fall into.

A

Distractor review

Eventual consistency only applies to deleted data — new data always appears immediately.

Eventual consistency applies to all writes (inserts, updates, deletes). Newly written data may not appear immediately across all nodes — that's the nature of eventual (asynchronous) propagation.

B

Distractor review

Eventual consistency means data is eventually deleted, which reduces storage costs.

Eventual consistency describes replication propagation timing, not data lifecycle. Data is not deleted; it converges across replicas.

C

Best answer

Eventual consistency trades immediate data accuracy for higher availability and better performance — all nodes will converge to the same value, just not instantaneously.

In eventually consistent systems, writes propagate asynchronously. All replicas converge to the same value within a short time window. This enables higher throughput and availability than strong consistency, which requires synchronous coordination across all nodes.

D

Distractor review

Eventual consistency is a bug — the system should be fixed to always show current data.

Eventual consistency is a deliberate design choice for distributed systems requiring high availability. It enables performance and availability benefits that strong consistency cannot provide at scale.

Common exam trap

Common exam trap: NAT rules depend on direction and matching traffic

NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.

Technical deep dive

How to think about this question

NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.

KKey Concepts to Remember

  • Static NAT maps one inside address to one outside address.
  • PAT allows many inside hosts to share one public address using ports.
  • Inside local and inside global describe the private and translated addresses.
  • NAT ACLs identify traffic for translation, not always security filtering.

TExam Day Tips

  • Identify inside and outside interfaces first.
  • Check whether the scenario needs static NAT, dynamic NAT or PAT.
  • Do not confuse NAT matching ACLs with normal packet-filtering intent.

Key takeaway

NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.

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FAQ

Questions learners often ask

What does this GCDL question test?

Static NAT maps one inside address to one outside address.

What is the correct answer to this question?

The correct answer is: Eventual consistency trades immediate data accuracy for higher availability and better performance — all nodes will converge to the same value, just not instantaneously. — The CAP theorem (Consistency, Availability, Partition tolerance) states that distributed systems can guarantee at most two of the three simultaneously. Many NoSQL systems choose Availability + Partition Tolerance over strong Consistency — meaning all nodes might not have the same data at exactly the same moment, but the system remains available and partition-tolerant. Eventual consistency means data will converge to the correct state eventually (usually milliseconds to seconds), enabling higher availability and performance than strong consistency, which requires coordination across all nodes for every write.

What should I do if I get this GCDL question wrong?

Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related GCDL NAT questions on configuration and troubleshooting.

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This GCDL practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the GCDL exam.