23ai New Features

You are implementing AI Vector Search in Oracle Database 23ai. Which data type is mandatory for storing vector embeddings?

You are migrating a legacy application to use Wide Tables in 23ai. What is the maximum number of columns supported by a Wide Table?

To enable lock-free reservations on a table, which clause must be used in the CREATE or ALTER TABLE statement?

When using Blockchain Tables, what is the default behavior for rows that have reached their 'no drop' period?

You have a vector index and notice search performance is slow. Which index type should you use to optimize similarity search?

When configuring Parallel DML in 23ai, which parameter must be set to 'ALWAYS' to ensure parallel execution for DML statements without hints?

Which database feature is recommended for high-frequency inserts into a single table with minimal overhead?

Which component allows True Cache to provide high performance for read-only workloads by caching data on the application tier?

What is the primary benefit of Lock-Free Reservations in high-concurrency environments?

Which TWO of the following statements about True Cache are correct?

Which THREE of the following are components of AI Vector Search in 23ai?

Which SQL function is used to calculate the similarity between two vectors?

In 23ai, when using the 'JSON relational duality' feature, how are changes to the JSON document propagated to the underlying tables?

You want to use Memoptimized Write to speed up data ingestion. Which type of table should you use?

What happens if a user tries to drop a Blockchain table that still contains rows within the retention period?

When using Wide Tables, what is the impact on performance for queries that select only a small subset of columns?

For Memoptimized Write, where is the data initially stored before being written to the database?

Which TWO features of 23ai help improve performance of high-concurrency workloads?

What is the main requirement for an existing table to be converted into a Blockchain table?

In True Cache, how is consistency maintained with the primary database?

When using the VECTOR data type, what is the maximum number of dimensions supported?

You are configuring Parallel DML and want to ensure the session uses the maximum available resources. Which hint should you use?

Which type of operation is ideal for Blockchain tables?

Which parameter controls the behavior of the Memoptimized Write buffer size?

Which THREE operations are permitted on Blockchain tables?

What is the primary function of the 'JSON relational duality' feature?

In the context of 23ai, what does 'True Cache' mean for application developers?

When creating a Wide Table, what is the physical storage impact compared to a standard table?

Which of the following is true regarding Vector embeddings in 23ai?

When running parallel DML in 23ai, what happens to the data if the transaction fails?

Which THREE actions can be performed on an HNSW vector index in 23ai?

What is the purpose of the 'no drop' clause in Blockchain table creation?

When configuring Memoptimized Write, what is the role of the 'flush' operation?

Which of these is a benefit of using JSON Duality Views?

How is AI Vector Search integrated into SQL?

What is the default behavior when a session is set to use True Cache?

What happens if a Lock-Free Reservation numeric value reaches its maximum allowed limit?

Which TWO parameters are essential for configuring the environment for Wide Tables?

Which Oracle feature allows for verifying the integrity of Blockchain rows?

How does 23ai handle vector distance calculations at scale?

You are monitoring parallel DML performance. Which view provides the best insight into current parallel server activity?

Can you use standard SQL DML on a Blockchain table?

What is the primary role of True Cache in a 3-tier architecture?

When configuring Lock-Free Reservations, what must be done to the column being updated?

Which THREE of the following are benefits of the JSON Duality feature?

What allows Memoptimized Write to perform so quickly?

In the context of Wide Tables, what is a recommended best practice?

When using parallel DML, which system parameter limits the degree of parallelism?

What is the primary characteristic of a Blockchain table in 23ai?

Which of these is a requirement for using True Cache?

When migrating to 23ai, what is the impact of switching to the VECTOR data type for existing applications?

Which THREE features are enabled in 23ai to simplify database management?

How does Memoptimized Write affect data integrity?

What is the result of a 'vector similarity' search?

When configuring parallel DML, what is the effect of setting 'FORCE' on a statement?

In 23ai, what does 'Wide Tables' refer to?

Which component is responsible for the verification of Blockchain tables?

What is the recommended approach for updating data in a table using Lock-Free Reservations?

Which THREE configuration steps are required to implement True Cache?

What is the main benefit of JSON Duality Views?