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

質問 1

What is a key characteristic of HNSW vector indexes?

（A）They are hierarchical with multilayered connections

（B）They require exact match for searches

（C）They are disk-based structures

（D）They use hash-based clustering

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 2

What is created to facilitate the use of OCI Generative AI with Autonomous Database?

（A）A secure VPN tunnel

（B）A new user account with elevated privileges

（C）An AI profile for OCI Generative AI

（D）A dedicated OCI compartment

正解：C 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

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 IVF indexing and target accuracy of 70%

（C）Multivector similarity search with partitioning

（D）Approximate similarity search with HNSW indexing and target accuracy of 70%

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 4

In the following Python code, what is the significance of prepending the source filename to each text chunk before storing it in the vector database?
bash
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docs = [{"text": filename + "|" + section, "path": filename} for filename, sections in faqs.items() for section in sections]
# Sample the resulting data
docs[:2]

（A）It preserves context and aids in the retrieval process by associating each vectorized chunk with its original source file

（B）It improves the accuracy of the LLM by providing additional training data

（C）It speeds up the vectorization process by providing a unique identifier for each chunk

（D）It helps differentiate between chunks from different files but has no impact on vectorization

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 5

What is the default distance metric used by the VECTOR_DISTANCE function if none is specified?

（A）Euclidean

（B）Hamming

（C）Cosine

（D）Manhattan

正解：C 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

When generating vector embeddings outside the database, what is the most suitable option for storing the embeddings for later use?

（A）In a dedicated vector database

（B）In a CSV file

（C）In the database as BLOB (Binary Large Object) data

（D）In a binary FVEC file with the relational data in a CSV file

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)

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

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