1Z0-184-25問題集、Oracle実際の試験問題

質問 1

You need to prioritize accuracy over speed in a similarity search for a dataset of images. Which should you use?

A. Exact similarity search using a full table scan

B. Approximate similarity search with HNSW indexing and target accuracy of 70%

C. Multivector similarity search with partitioning

D. Approximate similarity search with IVF indexing and target accuracy of 70%

正解: A

解説: (PassTest メンバーにのみ表示されます)

質問 2

Which function is used to generate vector embeddings within an Oracle database?

A. DBMS_VECTOR_CHAIN.UTL_TO_EMBEDDINGS

B. DBMS_VECTOR_CHAIN.UTL_TO_TEXT

C. DBMS_VECTOR_CHAIN.UTL_TO_CHUNKS

D. DBMS_VECTOR_CHAIN.UTL_TO_GENERATE_TEXT

正解: A

解説: (PassTest メンバーにのみ表示されます)

質問 3

Which vector index available in Oracle Database 23ai is known for its speed and accuracy, making it a preferred choice for vector search?

A. Inverted File (IVF) index

B. Inverted File System (IFS) index

C. Binary Tree (BT) index

D. Hierarchical Navigable Small World (HNSW) index

正解: D

解説: (PassTest メンバーにのみ表示されます)

質問 4

Which function should you use to determine the storage format of a vector?

A. VECTOR_CHUNKS

B. VECTOR_DIMENSION_FORMAT

C. VECTOR_EMBEDDING

D. VECTOR_NORM

正解: B

質問 5

You are storing 1,000 embeddings in a VECTOR column, each with 256 dimensions using FLOAT32. What is the approximate size of the data on disk?

A. 1 GB

B. 256 KB

C. 1 MB

D. 4 MB

正解: D

解説: (PassTest メンバーにのみ表示されます)

質問 6

You are tasked with finding the closest matching sentences across books, where each book has multiple paragraphs and sentences. Which SQL structure should you use?

A. GROUP BY with vector operations

B. Exact similarity search with a single query vector

C. A nested query with ORDER BY

D. FETCH PARTITIONS BY clause

正解: C

解説: (PassTest メンバーにのみ表示されます)

質問 7

What is the correct order of steps for building a RAG application using PL/SQL in Oracle Database 23ai?

A. Vectorize Question, Load ONNX Model, Load Document, Split Text into Chunks, Create Embeddings, Perform Vector Search, Generate Output

B. Load ONNX Model, Vectorize Question, Load Document, Split Text into Chunks, Create Embeddings, Perform Vector Search, Generate Output

C. Load Document, Split Text into Chunks, Load ONNX Model, Create Embeddings, Vectorize Question, Perform Vector Search, Generate Output

D. Load Document, Load ONNX Model, Split Text into Chunks, Create Embeddings, VectorizeQuestion, Perform Vector Search, Generate Output

正解: C

解説: (PassTest メンバーにのみ表示されます)

Oracle AI Vector Search Professional - 1Z0-184-25 模擬練習