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Oracle AI Database Administration Professional Free Sample Questions

Description

Covers multitenant CDB and PDB management, RMAN backup and recovery, performance tuning with AWR-based tools, Grid Infrastructure patching and upgrades, and AI Database features like AI Vector Search.

12 free sample questions130 in the full practice test

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1Z0-183 Sample Questions

  1. Question 1

    Intermediate

    Managing Multitenant Architecture · Manage Application PDBs within CDBs

    A multinational financial organization uses a Container Database (CDB) named FINCDB with 50 Pluggable Databases (PDBs). The architecture team wants to implement a standardized schema and application logic updates across 15 specific PDBs used by the European division. These PDBs must share common database objects while maintaining their own unique data. Updates to the common objects should be propagated centrally. Which architectural component should you implement to meet these requirements with minimal administrative overhead?

    Answer and explanation

    Correct answer: C

    An Application Container consists of an Application Root and one or more Application PDBs. This architecture allows for the definition of a master application definition (metadata and common data) in the Application Root, which is then shared with the Application PDBs. This is the exact use case for sharing logic and schema while keeping data separate and managing updates centrally.

  2. Question 2

    Intermediate

    Performing Backup and Recovery · Define Backup strategies and terminology

    You are the Senior DBA for a healthcare provider running Oracle Database 23ai. You need to configure a new backup strategy for a mission-critical PDB named PATIENTS. The requirements state that you must be able to recover the PDB to any point in time within the last 30 days, and you must minimize the backup window. You decide to use RMAN with Block Change Tracking (BCT). Where must the Block Change Tracking file be enabled?

    Answer and explanation

    Correct answer: B

    In a Multitenant architecture, the Block Change Tracking (BCT) file is a global resource managed at the Container Database (CDB) level. It tracks changes for the entire CDB, including all PDBs. You cannot enable BCT for an individual PDB; it must be enabled on the CDB root using ALTER DATABASE ENABLE BLOCK CHANGE TRACKING.

  3. Question 3

    Advanced

    Managing and Tuning Performance · Utilize Database In-Memory Column Store

    A developer approaches you with a performance issue in an Oracle 23ai database. They have a table SALES_DATA with 500 million rows. They frequently run analytic queries that filter on REGION_ID and aggregate SALES_AMOUNT. The query performance is sluggish. You decide to implement the In-Memory Column Store. Which action will most effectively improve the performance of these specific queries without affecting the OLTP performance of the application?

    Answer and explanation

    Correct answer: C

    Enabling the In-Memory Column Store allows the database to maintain the table in a dual format: row format for OLTP and columnar format for analytics. This specifically targets the aggregation and scanning workload described. Setting PRIORITY CRITICAL ensures the data is populated into memory immediately upon database startup, ensuring consistent performance.

  4. Question 4

    Beginner

    New Feature in Oracle AI Database · Implement AI Vector Search

    Your organization is adopting Oracle Database 23ai to leverage its new AI capabilities. You are designing a schema for a Retrieval-Augmented Generation (RAG) application. You need to store vector embeddings generated from product descriptions to enable semantic search. Which Oracle Database 23ai feature and data type should you use to store these embeddings natively and efficiently?

    Answer and explanation

    Correct answer: B

    Oracle Database 23ai introduces a native VECTOR data type specifically designed to store and process vector embeddings. This is part of the AI Vector Search feature set, which allows for similarity searches using SQL. This is more efficient and semantically correct than using BLOB or JSON types for vectors.

  5. Question 5

    Intermediate

    Deploying, Patching and Upgrades · Patching Grid Infrastructure and Databases

    You are managing an Oracle Database 23ai environment and need to perform an out-of-place patching operation for the Grid Infrastructure. Which utility should you use to automate the entire process, including the unlocking and locking of the Grid home, with minimal manual intervention?

    Answer and explanation

    Correct answer: A

    opatchauto is the preferred tool for patching Oracle Grid Infrastructure and Oracle Database homes in a clustered environment (and standalone GI). It automates the complex steps of stopping services, unlocking the home, applying the patch, relinking, and restarting services. It supports out-of-place patching automation.

  6. Question 6

    Intermediate

    New Feature in Oracle AI Database · Enhance OLTP and Core Database Features

    A developer is building a high-concurrency ticketing system on Oracle Database 23ai. They are concerned about row contention when multiple users try to reserve tickets simultaneously, leading to wait events. Which new feature in Oracle 23ai should you recommend to automatically handle this concurrency without manual locking code?

    Answer and explanation

    Correct answer: B

    Lock-Free Reservations allow concurrent transactions to proceed without being blocked by row locks on numeric columns that are being updated (e.g., decremented inventory). The database tracks the reservation intent and defers the actual constraint check until commit time, significantly improving throughput for 'hot' rows.

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