1Z0-184-25無料問題集「Oracle AI Vector Search Professional」

質問 1

Which PL/SQL function converts documents such as PDF, DOC, JSON, XML, or HTML to plain text?

（A）DBMS_VECTOR_CHAIN.UTL_TO_CHUNKS

（B）DBMS_VECTOR_CHAIN.UTL_TO_TEXT

（C）DBMS_VECTOR.TEXT_TO_PLAIN

（D）DBMS_VECTOR.CONVERT_TO_TEXT

正解：B 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 2

Which is NOT a feature or capability related to AI and Vector Search in Exadata?

（A）Native Support for Vector Search Only within the Database Server

（B）AI Smart Scan

（C）Loading Vector Data using SQL*Loader

（D）Vector Replication with GoldenGate

正解：A 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 3

In Oracle Database 23ai, which SQL function calculates the distance between two vectors using the Euclidean metric?

（A）L1_DISTANCE

（B）L2_DISTANCE

（C）COSINE_DISTANCE

（D）HAMMING_DISTANCE

正解：B 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 4

You want to quickly retrieve the top-10 matches for a query vector from a dataset of billions of vectors, prioritizing speed over exact accuracy. What is the best approach?

（A）Relational filtering combined with an exact search

（B）Approximate similarity search with a low target accuracy setting

（C）Exact similarity search with a high target accuracy setting

（D）Exact similarity search using flat search

正解：B 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 5

An application needs to fetch the top-3 matching sentences from a dataset of books while ensuring a balance between speed and accuracy. Which query structure should you use?

（A）A combination of relational filters and similarity search

（B）Multivector similarity search with approximate fetching and target accuracy

（C）Exact similarity search with Euclidean distance

（D）Approximate similarity search with the VECTOR_DISTANCE function

正解：D 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 6

What is the primary purpose of the DBMS_VECTOR_CHAIN.UTL_TO_CHUNKS package in a RAG application?

（A）To generate vector embeddings from a text document

（B）To split a large document into smaller chunks to improve vector quality by minimizing token truncation

（C）To convert a document into a single, large text string

（D）To load a document into the database

正解：B 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 7

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

（A）DBMS_VECTOR_CHAIN.UTL_TO_CHUNKS

（B）DBMS_VECTOR_CHAIN.UTL_TO_TEXT

（C）DBMS_VECTOR_CHAIN.UTL_TO_GENERATE_TEXT

（D）DBMS_VECTOR_CHAIN.UTL_TO_EMBEDDINGS

正解：D 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

1Z0-184-25 無料問題集「Oracle AI Vector Search Professional」

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