The answer is to change `assignPublicIp` to `true` in the cluster configuration. This resolves the insufficient public IPs error because the dedicated AI cluster’s subnet lacks available public addresses for model deployments that require public endpoints; setting this flag enables the cluster to automatically allocate public IPs from the subnet’s pool. On the Oracle Cloud Infrastructure Generative AI Professional 1Z0-1127 exam, this question tests your understanding of networking prerequisites for model deployment—specifically how the `assignPublicIp` parameter controls public IP assignment for dedicated AI clusters. A common trap is assuming you need to manually add IPs or resize the subnet, but the fix is simply toggling this boolean. Remember the mnemonic: “If your model can’t get out, flip the public IP shout”—`assignPublicIp` to true.
1Z0-1127 Deploying and Managing Generative AI on OCI Practice Question
This 1Z0-1127 practice question tests your understanding of deploying and managing generative ai on oci. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.
Refer to the exhibit. A team created this dedicated AI cluster. However, when they try to create a model deployment, the deployment fails with an error indicating insufficient public IPs. What change to the cluster configuration should they make?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Change assignPublicIp to true.
The error indicates insufficient public IPs because the cluster's subnet does not have enough available public IP addresses. Setting `assignPublicIp` to `true` in the cluster configuration allows the cluster to automatically allocate public IPs from the subnet's pool, resolving the shortage. This is required for model deployments that need public endpoints.
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.
✓
Change assignPublicIp to true.
Why this is correct
Correct: Enabling public IPs allows nodes to have public endpoints.
Related concept
Read the scenario before looking for a memorised answer.
✗
Increase the nodeCount to 8.
Why it's wrong here
Incorrect: Adding nodes increases IP demand, making the problem worse.
✗
Attach a different subnet that has more available public IPs.
Why it's wrong here
Incorrect: This might help but does not address the assignPublicIp=false setting; the cluster still wouldn't use public IPs.
✗
Change the AI cluster shape to VM.GPU.A10.2.
Why it's wrong here
Incorrect: Shape change does not affect IP allocation.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates might think the issue is a subnet IP shortage (Option C) or a scaling problem (Option B), when the real cause is a misconfigured public IP assignment flag that prevents the cluster from using available IPs.
Detailed technical explanation
How to think about this question
In OCI, dedicated AI clusters use a subnet for networking, and model deployments require public IPs for external access. The `assignPublicIp` flag controls whether the cluster automatically assigns ephemeral public IPs from the subnet's CIDR range. Without this flag set to `true`, the cluster cannot allocate public IPs, even if the subnet has available addresses. This is distinct from using reserved public IPs or NAT gateways, which are alternative but not configured here.
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 network engineer segments a warehouse floor into three subnets: 20 scanners, 5 printers, and 2 management hosts. Picking the wrong mask wastes addresses or leaves too few usable hosts. Exam questions test whether you can apply CIDR notation, calculate block size, and identify the correct usable-host range for a given prefix.
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.
Deploying and Managing Generative AI on OCI — This question tests Deploying and Managing Generative AI on OCI — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Change assignPublicIp to true. — The error indicates insufficient public IPs because the cluster's subnet does not have enough available public IP addresses. Setting `assignPublicIp` to `true` in the cluster configuration allows the cluster to automatically allocate public IPs from the subnet's pool, resolving the shortage. This is required for model deployments that need public endpoints.
What should I do if I get this 1Z0-1127 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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