Generative AI Leader Google Cloud's Generative AI Offerings Practice Question
This Generative AI Leader practice question tests your understanding of google cloud's generative ai offerings. 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.
Exhibit
Refer to the exhibit.
{
"name": "projects/123456789/locations/us-central1/endpoints/my-endpoint",
"deployedModels": [
{
"id": "model-v1",
"model": "projects/123456789/locations/us-central1/models/sentiment-model",
"displayName": "Version 1",
"trafficSplit": {"model-v1": 100}
},
{
"id": "model-v2",
"model": "projects/123456789/locations/us-central1/models/sentiment-model-v2",
"displayName": "Version 2",
"trafficSplit": {"model-v2": 0}
}
],
"trafficSplit": {"model-v1": 100, "model-v2": 0}
}
This is the output of `gcloud ai endpoints describe my-endpoint --region=us-central1`. You want to gradually shift 20% of traffic from model-v1 to model-v2.
Which command correctly updates the traffic split?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "which command"
Why it matters: Tests specific CLI syntax. Recall the exact command and its required context — near-synonyms and partial matches are common distractors.
Exhibit
Refer to the exhibit.
{
"name": "projects/123456789/locations/us-central1/endpoints/my-endpoint",
"deployedModels": [
{
"id": "model-v1",
"model": "projects/123456789/locations/us-central1/models/sentiment-model",
"displayName": "Version 1",
"trafficSplit": {"model-v1": 100}
},
{
"id": "model-v2",
"model": "projects/123456789/locations/us-central1/models/sentiment-model-v2",
"displayName": "Version 2",
"trafficSplit": {"model-v2": 0}
}
],
"trafficSplit": {"model-v1": 100, "model-v2": 0}
}
This is the output of `gcloud ai endpoints describe my-endpoint --region=us-central1`. You want to gradually shift 20% of traffic from model-v1 to model-v2.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
gcloud ai endpoints update-traffic-split my-endpoint --region=us-central1 --traffic-split=model-v2=20,model-v1=80
Option C is correct because the `gcloud ai endpoints update-traffic-split` command is the dedicated command for modifying traffic splits between deployed models on a Vertex AI endpoint. It uses the `--traffic-split` flag with key-value pairs (model_id=percentage) to assign traffic percentages, ensuring the total sums to 100. This command directly updates the routing configuration without redeploying models.
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.
This incorrect command structure; removing and adding models is not the way to adjust traffic.
✗
gcloud ai models update sentiment-model-v2 --traffic-split=20
Why it's wrong here
Models do not have traffic splits; traffic is managed at the endpoint level.
✓
gcloud ai endpoints update-traffic-split my-endpoint --region=us-central1 --traffic-split=model-v2=20,model-v1=80
Why this is correct
This is the correct command to update the traffic split for an endpoint.
Clue confirmation
The clue word "which command" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
gcloud ai endpoints update my-endpoint --region=us-central1 --update-traffic-split=model-v2=20,model-v1=80
Why it's wrong here
The flag should be `--traffic-split`, not `--update-traffic-split`.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse the `gcloud ai endpoints update` command (used for general endpoint configuration) with the specific `gcloud ai endpoints update-traffic-split` subcommand, leading them to choose options with incorrect flags like `--update-traffic-split` or `--traffic-split` on the wrong command.
Trap categories for this question
Command / output trap
This incorrect command structure; removing and adding models is not the way to adjust traffic.
Detailed technical explanation
How to think about this question
Vertex AI endpoints use a traffic routing policy that maps each deployed model to a percentage of incoming prediction requests. The `update-traffic-split` command atomically updates this mapping, and the total percentages must equal 100; otherwise, the command fails. Under the hood, this modifies the endpoint's `trafficSplit` field in the REST API, which is a map of model IDs to integer percentages, and the change is applied immediately to new requests.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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.
What does this Generative AI Leader question test?
Google Cloud's Generative AI Offerings — This question tests Google Cloud's Generative AI Offerings — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: gcloud ai endpoints update-traffic-split my-endpoint --region=us-central1 --traffic-split=model-v2=20,model-v1=80 — Option C is correct because the `gcloud ai endpoints update-traffic-split` command is the dedicated command for modifying traffic splits between deployed models on a Vertex AI endpoint. It uses the `--traffic-split` flag with key-value pairs (model_id=percentage) to assign traffic percentages, ensuring the total sums to 100. This command directly updates the routing configuration without redeploying models.
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: "which command". Tests specific CLI syntax. Recall the exact command and its required context — near-synonyms and partial matches are common distractors.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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