- A
The vector store is not configured to overwrite existing vectors for updated documents.
Without overwrite, old vectors persist even after re-indexing, causing retrieval of outdated code.
- B
The retrieval top-k is set too low, missing some relevant snippets.
Why wrong: Top-k affects recall but does not cause retrieval of outdated over current code.
- C
The chunking strategy splits code at function boundaries, losing import statements.
Why wrong: This affects code completeness but not the freshness of the retrieved snippets.
- D
The embedding model is not fine-tuned on code; it was trained on natural language.
Why wrong: Model quality affects relevance but not whether outdated code is still present.
Quick Answer
The answer is that the vector store is not configured to overwrite existing vectors for updated documents. This is the most likely oversight because when performing incremental updates after document changes, many vector databases default to appending new vectors rather than replacing the old ones for the same source content. As a result, the outdated vectors remain in the index and continue to be retrieved, causing the code assistant to suggest deprecated APIs even after re-indexing the latest commits. On the Oracle Cloud Infrastructure Generative AI Professional 1Z0-1127 exam, this scenario tests your understanding of vector store update semantics within a RAG pipeline—a common trap is assuming that re-indexing automatically removes stale data. Remember the key distinction: updating a vector store requires explicit overwrite or upsert logic; otherwise, old vectors persist. A useful memory tip is “append without overwrite leaves ghosts in the index.”
1Z0-1127 Practice Question: Building LLM Applications with RAG and Vector Search
This 1Z0-1127 practice question tests your understanding of building llm applications with rag and vector search. 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.
A company is using OCI Generative AI for a RAG-based code assistant. They index source code repositories into a vector store. Developers report that the assistant often suggests deprecated APIs or outdated code snippets, even though the latest code is in the repository. The index was built a week ago and has not been updated. They plan to set up incremental updates. However, they notice that even after re-indexing the latest commits, the issue persists. What is the most likely oversight?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"most likely"Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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
The vector store is not configured to overwrite existing vectors for updated documents.
Option A is correct because if the vector store does not overwrite or update vectors for changed documents, old vectors remain, causing retrieval of outdated code. Option B (chunking at function boundaries) may cause missing imports but not specifically deprecation. Option C (embedding model not fine-tuned on code) might affect quality but not freshness. Option D (low top-k) would affect recall, not freshness.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
The vector store is not configured to overwrite existing vectors for updated documents.
Why this is correct
Without overwrite, old vectors persist even after re-indexing, causing retrieval of outdated code.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Static NAT maps one inside address to one outside address.
- ✗
The retrieval top-k is set too low, missing some relevant snippets.
Why it's wrong here
Top-k affects recall but does not cause retrieval of outdated over current code.
- ✗
The chunking strategy splits code at function boundaries, losing import statements.
Why it's wrong here
This affects code completeness but not the freshness of the retrieved snippets.
- ✗
The embedding model is not fine-tuned on code; it was trained on natural language.
Why it's wrong here
Model quality affects relevance but not whether outdated code is still present.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
- Static NAT maps one inside address to one outside address.
- PAT allows many inside hosts to share one public address using ports.
- Inside local and inside global describe the private and translated addresses.
- NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
- Identify inside and outside interfaces first.
- Check whether the scenario needs static NAT, dynamic NAT or PAT.
- Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related 1Z0-1127 NAT questions on configuration and troubleshooting.
- →
Building LLM Applications with RAG and Vector Search — study guide chapter
Learn the concepts, then practise the questions
- →
Building LLM Applications with RAG and Vector Search practice questions
Targeted practice on this topic area only
- →
All 1Z0-1127 questions
500 questions across all exam domains
- →
Oracle Cloud Infrastructure Generative AI Professional 1Z0-1127 study guide
Full concept coverage aligned to exam objectives
- →
1Z0-1127 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related 1Z0-1127 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Fundamentals of Large Language Models practice questions
Practise 1Z0-1127 questions linked to Fundamentals of Large Language Models.
Using OCI Generative AI Service practice questions
Practise 1Z0-1127 questions linked to Using OCI Generative AI Service.
Building LLM Applications with RAG and Vector Search practice questions
Practise 1Z0-1127 questions linked to Building LLM Applications with RAG and Vector Search.
Deploying and Managing Generative AI on OCI practice questions
Practise 1Z0-1127 questions linked to Deploying and Managing Generative AI on OCI.
1Z0-1127 fundamentals practice questions
Practise 1Z0-1127 questions linked to 1Z0-1127 fundamentals.
1Z0-1127 scenario practice questions
Practise 1Z0-1127 questions linked to 1Z0-1127 scenario.
1Z0-1127 troubleshooting practice questions
Practise 1Z0-1127 questions linked to 1Z0-1127 troubleshooting.
Practice this exam
Start a free 1Z0-1127 practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Questions learners often ask
What does this 1Z0-1127 question test?
Building LLM Applications with RAG and Vector Search — This question tests Building LLM Applications with RAG and Vector Search — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: The vector store is not configured to overwrite existing vectors for updated documents. — Option A is correct because if the vector store does not overwrite or update vectors for changed documents, old vectors remain, causing retrieval of outdated code. Option B (chunking at function boundaries) may cause missing imports but not specifically deprecation. Option C (embedding model not fine-tuned on code) might affect quality but not freshness. Option D (low top-k) would affect recall, not freshness.
What should I do if I get this 1Z0-1127 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related 1Z0-1127 NAT questions on configuration and troubleshooting.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Keep practising
More 1Z0-1127 practice questions
- A developer wants to deploy a RAG application using OCI Generative AI for both embedding and text generation while minim…
- A data scientist fine-tuned a model on OCI Gen AI using a dedicated AI cluster. After deployment, the model gives inaccu…
- Users report that inference requests to the OCI Generative AI service are taking longer than expected. The application u…
- Refer to the exhibit. A developer runs the command and receives the error. What is the issue?
- A developer wants to integrate OCI GenAI into a Java application. Which SDK should they use?
- Which TWO factors most significantly influence the computational cost of fine-tuning a large language model?
Last reviewed: Jun 23, 2026
This 1Z0-1127 practice question is part of Courseiva's free Oracle 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 1Z0-1127 exam.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.