- A
Serverless endpoint with min replicas=0
Why wrong: Serverless endpoints with zero min replicas may scale down, risking availability; SLA is lower.
- B
Batch prediction job
Why wrong: Batch prediction does not have an SLA for uptime; it is non-real-time.
- C
Regional endpoint with at least one node
Regional endpoints with at least one node qualify for 99.9% SLA for online prediction.
- D
Global endpoint with automatic scaling
Why wrong: Global endpoints have a lower SLA (99.5%) compared to regional endpoints.
Question 718 of 997
Generative AI Leader Google AI Ecosystem and Strategy Practice Question
This Generative AI Leader practice question tests your understanding of google ai ecosystem and strategy. 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 is evaluating SLA guarantees for a generative AI model deployed on Vertex AI. They require at least 99.9% uptime for production inference. Which SLA tier should they select?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"least"Why it matters: You want the option with minimum overhead, fewest steps, or lowest impact — not the most feature-rich or comprehensive answer.
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
✓
Regional endpoint with at least one node
Regional endpoints with at least one node guarantee a minimum of 99.9% uptime for production inference because they maintain a dedicated, always-on compute resource. This SLA applies to regional endpoints with a minimum of one replica, ensuring the model is continuously available for serving requests without cold-start delays.
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.
- ✗
Serverless endpoint with min replicas=0
Why it's wrong here
Serverless endpoints with zero min replicas may scale down, risking availability; SLA is lower.
- ✗
Batch prediction job
Why it's wrong here
Batch prediction does not have an SLA for uptime; it is non-real-time.
- ✓
Regional endpoint with at least one node
Why this is correct
Regional endpoints with at least one node qualify for 99.9% SLA for online prediction.
Clue confirmation
The clue word "least" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Global endpoint with automatic scaling
Why it's wrong here
Global endpoints have a lower SLA (99.5%) compared to regional endpoints.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse automatic scaling or serverless endpoints with high availability, not realizing that only regional endpoints with a minimum of one replica meet the 99.9% SLA requirement for production inference.
Detailed technical explanation
How to think about this question
Vertex AI regional endpoints with at least one node use a dedicated compute cluster that remains provisioned, avoiding the cold-start latency of serverless scaling. The 99.9% SLA is calculated over a monthly billing cycle, and any downtime due to infrastructure failures is credited per the Google Cloud SLA policy. In practice, this tier is critical for latency-sensitive applications like real-time chatbots or fraud detection, where even seconds of unavailability can impact business operations.
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.
TExam Day Tips
- 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 exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
- →
Google AI Ecosystem and Strategy — study guide chapter
Learn the concepts, then practise the questions
- →
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Targeted practice on this topic area only
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FAQ
Questions learners often ask
What does this Generative AI Leader question test?
Google AI Ecosystem and Strategy — This question tests Google AI Ecosystem and Strategy — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Regional endpoint with at least one node — Regional endpoints with at least one node guarantee a minimum of 99.9% uptime for production inference because they maintain a dedicated, always-on compute resource. This SLA applies to regional endpoints with a minimum of one replica, ensuring the model is continuously available for serving requests without cold-start delays.
What should I do if I get this Generative AI Leader question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "least". You want the option with minimum overhead, fewest steps, or lowest impact — not the most feature-rich or comprehensive answer.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 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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