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. 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.
Which two actions are required when deploying a custom fine-tuned model using the OCI Generative AI service? (Choose two.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Upload model artifacts to OCI Object Storage
Option D is correct because deploying a custom fine-tuned model in OCI Generative AI requires the model artifacts (e.g., weights, configuration files) to be stored in OCI Object Storage. The service pulls the artifacts from a designated bucket during deployment. Option E is correct because a dedicated AI cluster must be created to host the model, providing the necessary compute resources for inference.
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.
✗
Configure an API Gateway for the model endpoint
Why it's wrong here
API Gateway is optional and not required for deployment.
✗
Register the model in the OCI Data Science Model Catalog
Why it's wrong here
Registration in the Model Catalog is not mandatory for Generative AI deployment.
✗
Set up a load balancer for the deployment
Why it's wrong here
Load balancing is built into the Dedicated AI Cluster; no separate setup needed.
✓
Upload model artifacts to OCI Object Storage
Why this is correct
Model artifacts must be stored in Object Storage before deployment.
Related concept
Read the scenario before looking for a memorised answer.
✓
Create a dedicated AI cluster
Why this is correct
A dedicated AI cluster is required to host the custom model.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse the OCI Data Science Model Catalog (used for ML model lifecycle management) with the Generative AI service's own model registration, leading them to incorrectly select Option B.
Detailed technical explanation
How to think about this question
Under the hood, the OCI Generative AI service uses a dedicated AI cluster based on OCI's bare metal GPU instances (e.g., BM.GPU4.8) with RDMA networking for low-latency inference. The model artifacts in Object Storage must be in a specific format (e.g., Hugging Face Transformers or PyTorch) and are loaded into the cluster's memory during deployment. A real-world scenario is deploying a fine-tuned Llama 2 model for a customer service chatbot, where the artifacts are stored in a private bucket and the cluster is sized based on expected throughput.
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 small business has 20 workstations on the 192.168.1.0/24 network and one public IP from its ISP. The router uses PAT (NAT overload) so all 20 devices share one public address using different source ports. NAT questions test whether you understand the four address terms and which direction each translation applies.
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: Upload model artifacts to OCI Object Storage — Option D is correct because deploying a custom fine-tuned model in OCI Generative AI requires the model artifacts (e.g., weights, configuration files) to be stored in OCI Object Storage. The service pulls the artifacts from a designated bucket during deployment. Option E is correct because a dedicated AI cluster must be created to host the model, providing the necessary compute resources for inference.
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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Question Discussion
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