- Home
- Oracle
- Oracle Cloud Infrastructure 2025 Generative AI Professional
- Oracle.1Z0-1127-25.v2025-06-30.q38
- Question 30
Valid 1Z0-1127-25 Dumps shared by ExamDiscuss.com for Helping Passing 1Z0-1127-25 Exam! ExamDiscuss.com now offer the newest 1Z0-1127-25 exam dumps, the ExamDiscuss.com 1Z0-1127-25 exam questions have been updated and answers have been corrected get the newest ExamDiscuss.com 1Z0-1127-25 dumps with Test Engine here:
Access 1Z0-1127-25 Dumps Premium Version
(90 Q&As Dumps, 35%OFF Special Discount Code: freecram)
<< Prev Question Next Question >>
Question 30/38
How does the structure of vector databases differ from traditional relational databases?
Correct Answer: C
Comprehensive and Detailed In-Depth Explanation=
Vector databases store data as high-dimensional vectors, optimized for similarity searches (e.g., cosine distance), unlike relational databases' tabular, row-column structure. This makes Option C correct. Option A and D describe relational databases. Option B is false-vector databases excel in high-dimensional spaces. Vector databases support semantic queries critical for LLMs.
OCI 2025 Generative AI documentation likely contrasts these under data storage options.
Vector databases store data as high-dimensional vectors, optimized for similarity searches (e.g., cosine distance), unlike relational databases' tabular, row-column structure. This makes Option C correct. Option A and D describe relational databases. Option B is false-vector databases excel in high-dimensional spaces. Vector databases support semantic queries critical for LLMs.
OCI 2025 Generative AI documentation likely contrasts these under data storage options.
- Question List (38q)
- Question 1: Why is it challenging to apply diffusion models to text gene...
- Question 2: Which statement accurately reflects the differences between ...
- Question 3: How are prompt templates typically designed for language mod...
- Question 4: What is the purpose of Retrieval Augmented Generation (RAG) ...
- Question 5: What is the main advantage of using few-shot model prompting...
- Question 6: What is the characteristic of T-Few fine-tuning for Large La...
- Question 7: What is prompt engineering in the context of Large Language ...
- Question 8: What does the Loss metric indicate about a model's predictio...
- Question 9: What is LCEL in the context of LangChain Chains?...
- Question 10: When should you use the T-Few fine-tuning method for trainin...
- Question 11: How does the temperature setting in a decoding algorithm inf...
- Question 12: Given the following code block: history = StreamlitChatMessa...
- Question 13: Which component of Retrieval-Augmented Generation (RAG) eval...
- Question 14: In which scenario is soft prompting especially appropriate c...
- Question 15: How does a presence penalty function in language model gener...
- Question 16: Which technique involves prompting the Large Language Model ...
- Question 17: Why is normalization of vectors important before indexing in...
- Question 18: What is the purpose of memory in the LangChain framework?...
- Question 19: What do embeddings in Large Language Models (LLMs) represent...
- Question 20: How do Dot Product and Cosine Distance differ in their appli...
- Question 21: An AI development company is working on an AI-assisted chatb...
- Question 22: What do prompt templates use for templating in language mode...
- Question 23: What is the role of temperature in the decoding process of a...
- Question 24: An AI development company is working on an advanced AI assis...
- Question 25: Which is NOT a built-in memory type in LangChain?...
- Question 26: Which statement is true about string prompt templates and th...
- Question 27: How does the integration of a vector database into Retrieval...
- Question 28: Which is a key advantage of using T-Few over Vanilla fine-tu...
- Question 29: Given the following prompts used with a Large Language Model...
- Question 30: How does the structure of vector databases differ from tradi...
- Question 31: In the simplified workflow for managing and querying vector ...
- Question 32: How are fine-tuned customer models stored to enable strong d...
- Question 33: What issue might arise from using small datasets with the Va...
- Question 34: Which statement is true about the "Top p" parameter of the O...
- Question 35: Which is a distinctive feature of GPUs in Dedicated AI Clust...
- Question 36: Which is the main characteristic of greedy decoding in the c...
- Question 37: Which component of Retrieval-Augmented Generation (RAG) eval...
- Question 38: What does a higher number assigned to a token signify in the...
