- A
Enable the global endpoint feature in Vertex AI with automatic traffic splitting, and increase the minimum replicas for each regional endpoint
Global endpoint distributes traffic and increases capacity; higher min replicas prevent cold starts during spikes.
- B
Increase the maximum replicas for the europe-west4 endpoint and reduce the min replicas in other regions
Why wrong: Reducing min replicas in other regions could cause latency issues there during spikes.
- C
Implement Cloud CDN caching for common summaries and reduce the number of regions to two
Why wrong: Cloud CDN is not suitable for dynamic model inference; reducing regions may increase latency for some users.
- D
Configure a global load balancer with a single Vertex AI endpoint and increase max replicas globally
Why wrong: A single endpoint may not reduce latency; still need sufficient replicas in each region.
Generative AI Leader Practice Question: Business Strategies for Generative AI Solutions
This Generative AI Leader practice question tests your understanding of business strategies for generative ai solutions. 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 global news agency is using a generative AI model to summarize breaking news articles in real-time. The model is deployed on Vertex AI across multiple regions (us-central1, europe-west4, asia-southeast1) for low latency worldwide. The agency has a Service Level Objective (SLO) of 99.9% availability and p99 latency under 2 seconds. Recently, during a major event, traffic spiked 10x, and the europe-west4 region experienced latency spikes over 5 seconds and some 503 errors. The team suspects the regional endpoint is under-provisioned. Which combination of actions should they take to meet the SLO consistently?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Enable the global endpoint feature in Vertex AI with automatic traffic splitting, and increase the minimum replicas for each regional endpoint
Enabling global endpoint with automatic traffic splitting and increasing min replicas per region (option D) provides both failover and capacity. Simply increasing replicas in europe (A) doesn't help if traffic shifts. Global endpoint without min replicas (B) still risks cold starts. Using Cloud CDN (C) is for static content, not model inference.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Enable the global endpoint feature in Vertex AI with automatic traffic splitting, and increase the minimum replicas for each regional endpoint
Why this is correct
Global endpoint distributes traffic and increases capacity; higher min replicas prevent cold starts during spikes.
Related concept
Static NAT maps one inside address to one outside address.
- ✗
Increase the maximum replicas for the europe-west4 endpoint and reduce the min replicas in other regions
Why it's wrong here
Reducing min replicas in other regions could cause latency issues there during spikes.
- ✗
Implement Cloud CDN caching for common summaries and reduce the number of regions to two
Why it's wrong here
Cloud CDN is not suitable for dynamic model inference; reducing regions may increase latency for some users.
- ✗
Configure a global load balancer with a single Vertex AI endpoint and increase max replicas globally
Why it's wrong here
A single endpoint may not reduce latency; still need sufficient replicas in each region.
Common exam traps
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.
Detailed technical explanation
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.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
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 Generative AI Leader NAT questions on configuration and troubleshooting.
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FAQ
Questions learners often ask
What does this Generative AI Leader question test?
Business Strategies for Generative AI Solutions — This question tests Business Strategies for Generative AI Solutions — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Enable the global endpoint feature in Vertex AI with automatic traffic splitting, and increase the minimum replicas for each regional endpoint — Enabling global endpoint with automatic traffic splitting and increasing min replicas per region (option D) provides both failover and capacity. Simply increasing replicas in europe (A) doesn't help if traffic shifts. Global endpoint without min replicas (B) still risks cold starts. Using Cloud CDN (C) is for static content, not model inference.
What should I do if I get this Generative AI Leader 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 Generative AI Leader NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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Last reviewed: Jun 22, 2026
This Generative AI Leader 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 Generative AI Leader exam.
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