- 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. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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
Option A is correct because it enables the global endpoint feature with automatic traffic splitting, allowing traffic to be routed to healthy regions and providing failover. Additionally, increasing minimum replicas per region ensures each regional endpoint has baseline capacity to handle spikes, preventing under-provisioning. Option B only increases max replicas in europe-west4, which does not address traffic shifts, and reducing min replicas elsewhere risks capacity issues. Option C suggests Cloud CDN, which is for static content, not model inference. Option D configures a global load balancer with a single endpoint, which does not optimally use Vertex AI's regional endpoints and may not meet latency SLO.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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
Read the scenario before looking for a memorised answer.
- ✗
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: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
Identify which Generative AI Leader exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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Business Strategies for Generative AI Solutions — study guide chapter
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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 — Read the scenario before looking for a memorised answer..
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 — Option A is correct because it enables the global endpoint feature with automatic traffic splitting, allowing traffic to be routed to healthy regions and providing failover. Additionally, increasing minimum replicas per region ensures each regional endpoint has baseline capacity to handle spikes, preventing under-provisioning. Option B only increases max replicas in europe-west4, which does not address traffic shifts, and reducing min replicas elsewhere risks capacity issues. Option C suggests Cloud CDN, which is for static content, not model inference. Option D configures a global load balancer with a single endpoint, which does not optimally use Vertex AI's regional endpoints and may not meet latency SLO.
What should I do if I get this Generative AI Leader question wrong?
Identify which Generative AI Leader exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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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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