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. 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.
Which TWO actions are recommended best practices for managing costs when using OCI Generative AI dedicated AI clusters?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use preemptible instances for non-critical inference workloads
Option B is correct because preemptible instances in OCI are significantly cheaper than standard instances and are ideal for non-critical inference workloads that can tolerate interruptions. This aligns with cost optimization best practices by allowing you to use spare compute capacity at a reduced rate for tasks that do not require continuous availability.
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.
✗
Provision a fixed number of nodes to handle peak load
Why it's wrong here
Leads to idle resources during low demand.
✓
Use preemptible instances for non-critical inference workloads
Why this is correct
Preemptible instances are cheaper and suitable for fault-tolerant tasks.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✓
Use autoscaling to adjust nodes based on demand
Why this is correct
Matches capacity to actual usage, reducing cost.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Stop the dedicated AI cluster when not in use
Why it's wrong here
Stopping deletes the cluster; you lose data and configurations.
✗
Use pay-as-you-go billing instead of preemptible instances
Why it's wrong here
Pay-as-you-go is more expensive; preemptible is cheaper.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may think stopping a dedicated AI cluster is a valid cost-saving action, but OCI dedicated AI clusters do not support a 'stop' state—you must terminate the cluster, which loses all configuration and data, making it impractical for intermittent use.
Detailed technical explanation
How to think about this question
Preemptible instances in OCI are reclaimed by the infrastructure with short notice (typically 30 seconds) when capacity is needed elsewhere, making them unsuitable for stateful or latency-sensitive inference. Autoscaling (Option C) dynamically adjusts the number of nodes based on metrics like GPU utilization or queue depth, ensuring you only pay for what you use while maintaining performance for variable workloads. In practice, combining autoscaling with preemptible instances for non-critical tasks can further optimize costs by using cheaper capacity for burstable or batch inference jobs.
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 practitioner preparing for the 1Z0-1127 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
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: Use preemptible instances for non-critical inference workloads — Option B is correct because preemptible instances in OCI are significantly cheaper than standard instances and are ideal for non-critical inference workloads that can tolerate interruptions. This aligns with cost optimization best practices by allowing you to use spare compute capacity at a reduced rate for tasks that do not require continuous availability.
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.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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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