- A
RecursiveCharacterTextSplitter
Text splitter is needed to split large documents into manageable chunks.
- B
PDFLoader
PDFLoader is needed to load PDF documents into LangChain.
- C
OCIGenAIEmbeddings
Embeddings are required to convert text chunks into vectors for storage and retrieval.
- D
CSVLoader
Why wrong: CSVLoader loads CSV files, not PDFs; it is not needed here.
- E
Chroma
Why wrong: Chroma is a vector store, but not essential; the pipeline could use FAISS or OracleVS instead.
Question 143 of 991
1Z0-1127 LangChain and AI Application Development Practice Question
This 1Z0-1127 practice question tests your understanding of langchain and ai application development. 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.
You need to build a RAG pipeline using LangChain and OCI Generative AI. The pipeline must load PDF documents, split them into chunks, embed them, store in a vector store, and retrieve relevant chunks at query time. Which THREE components are essential? (Choose THREE.)
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
✓
RecursiveCharacterTextSplitter
A is correct because RecursiveCharacterTextSplitter is the standard text splitter in LangChain for splitting documents into chunks while preserving semantic boundaries (e.g., paragraphs, sentences). It recursively splits on different separators (like newlines, spaces) to maintain context, which is critical for effective retrieval in a RAG pipeline.
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.
- ✓
RecursiveCharacterTextSplitter
Why this is correct
Text splitter is needed to split large documents into manageable chunks.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
PDFLoader
Why this is correct
PDFLoader is needed to load PDF documents into LangChain.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
OCIGenAIEmbeddings
Why this is correct
Embeddings are required to convert text chunks into vectors for storage and retrieval.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
CSVLoader
Why it's wrong here
CSVLoader loads CSV files, not PDFs; it is not needed here.
- ✗
Chroma
Why it's wrong here
Chroma is a vector store, but not essential; the pipeline could use FAISS or OracleVS instead.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the distinction between essential components and optional implementations — candidates mistakenly select Chroma (a specific vector store) as essential, when the core requirement is only that embeddings are stored and retrieved, not that a particular store like Chroma must be used.
Detailed technical explanation
How to think about this question
Under the hood, RecursiveCharacterTextSplitter uses a list of separators (e.g., ['\n\n', '\n', ' ', '']) to split text recursively, ensuring chunks are as semantically coherent as possible. In a real-world RAG pipeline, using this splitter with appropriate chunk size and overlap (e.g., 1000 characters with 200 overlap) significantly improves retrieval accuracy by reducing context fragmentation.
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.
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FAQ
Questions learners often ask
What does this 1Z0-1127 question test?
LangChain and AI Application Development — This question tests LangChain and AI Application Development — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: RecursiveCharacterTextSplitter — A is correct because RecursiveCharacterTextSplitter is the standard text splitter in LangChain for splitting documents into chunks while preserving semantic boundaries (e.g., paragraphs, sentences). It recursively splits on different separators (like newlines, spaces) to maintain context, which is critical for effective retrieval in a RAG pipeline.
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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Last reviewed: Jul 4, 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.
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