2026 Actual Oracle 1Z0-1195-26 Dumps, Updated Exam Questions for Guaranteed Pass

Oracle AI Database Foundations Associate - Free Interactive Quiz, Exam Dumps, and Complete Practice Pack from DumpsProvider.

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VendorOracle
Exam code1Z0-1195-26
Exam nameOracle AI Database Foundations Associate
Questions in pack60
Last updatedSeptember 7, 2026
Related certificationsOracle Database

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1Z0-1195-26 free sample questions and answers

Oracle 1Z0-1195-26 practice quiz with correct answers for search indexing.

  1. Question 1

    Your company is implementing a Retrieval-Augmented Generation (RAG) pipeline for customer support automation. The system must retrieve relevant support articles based on user questions and feed them into a Large Language Model for answer generation. You have decided to use Oracle AI Vector Search within Autonomous AI Database. Which statements accurately describe how AI Vector Search supports this RAG implementation?

    Correct answer: A

    AI Vector Search in Autonomous AI Database is purpose-built for RAG pipelines. It automatically generates embeddings, performs semantic similarity search, and supports combining vector similarity with business data predicates—exactly what a RAG system requires. The incorrect options either deny its LLM integration capabilities, incorrectly claim embeddings must be manually managed, or falsely suggest it cannot combine semantic and business logic filtering.

  2. Question 2

    What is the Oracle recommended way to upgrade databases?

    Correct answer: D

    The Oracle-recommended way to upgrade databases is 'AutoUpgrade' (D). AutoUpgrade automates the upgrade process, handling pre-checks, upgrades, and post-upgrade tasks with minimal manual intervention, reducing errors and downtime. 'Database Upgrade Assistant (DBUA)' (A) is a GUI tool but less automated, 'Data Pump Export/Import' (B) is for data migration, not direct upgrades, and 'Command Line Upgrade' (C) is manual and error-prone. Oracle's official upgrade guides endorse AutoUpgrade for its efficiency and reliability.


  3. Question 3

    Which are the capabilities of Oracle Autonomous Database that can accelerate innovation? (Choose 3)

    Correct answer: A, B, C

    'Oracle Autonomous Database' accelerates innovation with: 'Scaling of CPUs with very little downtime' (A), enabling dynamic performance adjustments online; 'Built-in AI and ML helps find patterns that could identify undiscovered anomalies' (B), leveraging in-database machine learning; and 'Instant scaling of storage' (C), providing flexibility without interruption. 'Provisions a data warehouse in seconds' (D) is true but more a setup feature than an ongoing innovation driver. Oracle's documentation emphasizes these capabilities for rapid development and insights.


  4. Question 4

    Your organization is migrating a legacy relational database workload to Oracle AI Database 26ai. The application requires automatic scaling, built-in security, and minimal operational overhead. Your team has limited database administration expertise and needs to avoid managing infrastructure.

    Which deployment choice best aligns with these requirements?

    Correct answer: A

    The correct answer is Autonomous AI Database Serverless with shared infrastructure and automatic resource allocation. Serverless deployments provide automatic scaling, built-in security, and eliminate infrastructure management responsibilities—ideal for teams with limited DBA expertise. The question explicitly states the need for minimal operational overhead and automatic scaling.

    Autonomous AI Database Dedicated requires more infrastructure management and planning. On-premises self-managed solutions contradict the requirement to avoid managing infrastructure. While Enterprise editions provide support, they still require manual scaling and more hands-on administration.

  5. Question 5

    What are two characteristics of Oracle SQLcl (SQL Developer Command Line)?

    Correct answer: B, C

    'Oracle SQLcl' (SQL Developer Command Line) is a lightweight, command-line interface for interacting with Oracle Databases. It has two key characteristics: 'Tracks database schema changes' (B), through integration with tools like Liquibase, allowing DBAs to monitor and manage schema evolution; and 'Ability to execute SQL batch files' (C), enabling automation of multiple SQL statements in scripts. 'Creates isolated development environments' (A) is not a feature of SQLcl, as it's a client tool, not a virtualization platform. 'Available in the OCI Cloud Shell by default' (D) is incorrect, as OCI Cloud Shell provides a general terminal but does not pre-install SQLcl. Oracle's SQLcl documentation confirms these capabilities.


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