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IT Certifications · 1Z0-1195-26

Oracle AI Database Foundations Associate Exam Practice Test

Oracle AI Database Foundations Associate practice covers core database concepts alongside introductory AI and data-handling decisions. The available questions touch on schemas, sequences, indexes, transaction recovery, vector storage, model evaluation, deployment monitoring, and privacy when using external model services. These topics connect relational database structures and reliability with the responsible use of AI in data applications.

Exam overview

Exam providerOracle
Exam code1Z0-1195-26
CategoryIT Certifications

About the Oracle AI Database Foundations Associate Exam

The question bank spans practical choices made when working with Oracle Database and AI-enabled systems. Database items ask you to distinguish objects by purpose: schemas organize database objects, sequences generate values, indexes support searches, and recovery components preserve transaction changes after failures. Vector-related questions introduce storing and querying embeddings alongside relational data. AI questions focus on evaluating language-model summaries for factual coverage and usefulness, keeping test data separate from tuning to estimate performance on new cases, and monitoring deployed models for changes in behavior. Privacy scenarios emphasize limiting personal information sent to an external model service, while model documentation helps teams understand intended use and limitations. Together, these concepts support informed decisions about data organization, query access, recoverability, evaluation, and responsible AI use.

Sample Practice Questions

Review a selection from this exam's published US Practice Tests practice bank.

Question 1

What is the purpose of a database schema?

  1. ATo provide a logical organization and ownership context for database objects
  2. BTo specify the physical location of every database user's computer
  3. CTo determine the training data used by an AI model
  4. DTo encrypt all network traffic between an application and the database
Show answerCorrect answer: A

A schema is a logical collection of database objects associated with an owner. It helps organize objects such as tables, views, and procedures; it does not by itself define client locations or encryption behavior.

Question 2

Which Oracle Database feature is designed to store and query vectors alongside relational data?

  1. AOracle AI Vector Search
  2. BOracle Data Pump
  3. COracle Recovery Manager (RMAN)
  4. DOracle Automatic Workload Repository (AWR)
Show answerCorrect answer: A

Oracle AI Vector Search supports storing and searching vector data within Oracle Database, enabling similarity-search use cases alongside other database workloads.

Question 3

Which Oracle Database component records changes so that transactions can be recovered after a failure?

  1. AThe data dictionary
  2. BThe redo log
  3. CThe temporary tablespace
  4. DThe SQL*Plus command history
Show answerCorrect answer: B

Redo records describe changes made to the database. Oracle uses redo during recovery to reapply changes as needed after an instance or media failure.

Question 4

Why is it useful to monitor an AI model after deployment?

  1. AInput data and operating conditions can change, affecting performance over time
  2. BMonitoring ensures that the model never produces an incorrect result
  3. CMonitoring removes the need to test a model before deployment
  4. DInput changes are impossible once a model is trained
Show answerCorrect answer: A

Real-world data and usage patterns may shift, causing model quality or reliability to degrade. Monitoring can help detect changes and trigger investigation or updates, but cannot guarantee perfect results.

Question 5

Why should an AI application minimize the personal data it sends to an external model service?

  1. ATo reduce unnecessary exposure of sensitive information and support data-protection practices
  2. BTo make the model's output deterministic in every situation
  3. CTo increase the number of parameters in the model
  4. DTo ensure that prompts cannot contain ambiguous instructions
Show answerCorrect answer: A

Data minimization limits processing and disclosure to information needed for the task. This helps reduce privacy and security risks, though it does not by itself ensure deterministic output or resolve ambiguity.

Question 6

What is the purpose of a database sequence in Oracle Database?

  1. ATo generate a sequence of values, commonly used for unique identifiers
  2. BTo enforce that text values follow a specified format
  3. CTo combine rows from multiple tables
  4. DTo schedule database backups
Show answerCorrect answer: A

A sequence generates numeric values on request and is often used to supply identifiers for new rows. Sequence values are not a guarantee of gap-free numbering.

Question 7

What is the purpose of a database index on a frequently searched column?

  1. ATo help locate matching rows more efficiently
  2. BTo ensure the column contains no duplicate values
  3. CTo store a backup copy of every table row
  4. DTo prevent the column from being included in query results
Show answerCorrect answer: A

An index provides an access structure that can speed up searches and related operations. Indexes require storage and can add overhead to data changes.

How to use this practice test

Access the free practice set to answer up to 20 randomly selected questions from the available bank of 50. Use the results after each session to identify concepts to revisit, such as database object purposes, transaction recovery, vector data, model evaluation, or privacy. Repeat sessions to encounter different questions.

Preparation tips

  • For each database object, explain its operational purpose and distinguish schema organization, sequence-generated values, and index-assisted searching.
  • Review how transaction changes support recovery after failure, and connect recovery concepts to database reliability.
  • Compare vector data with relational data, focusing on why an application may need to store and query both.
  • Practice separating model training, tuning, and final testing; explain how a held-out test set estimates performance on unseen cases.
  • For AI application scenarios, assess factual usefulness of generated summaries, post-deployment monitoring needs, and data minimization before external model calls.
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