Free 1Z0-1195-26 Practice Test Questions and Answers (2026)

Oracle APEX Agent Factory provides a low-code/no-code framework within Oracle APEX that empowers developers and business users to create, configure, and deploy AI-driven agents and generative AI functionalities directly into applications. Designed specifically to accelerate time-to-value while minimizing reliance on extensive development resources, it replaces complex custom coding with declarative configuration interfaces. Business users can define process automation rules, context, and personalization parameters seamlessly. Consequently, Oracle APEX Agent Factory is the most appropriate choice for organizations seeking to rapidly deploy intelligent, automated customer-facing applications without constructing custom machine learning pipelines or writing extensive code from scratch.

B: Writing custom Python scripts with Oracle Machine Learning requires extensive traditional development effort, directly violating the requirement to minimize custom coding. C: Traditional form-based development combined with manual SQL stored procedures lacks native declarative AI agent capabilities and entails heavy programming overhead. D: Creating custom Vector Search indices with hand-coded decision logic demands significant engineering effort and contradicts the organizational mandate for a no-code solution.

- Oracle APEX Documentation: "Generative AI and AI Agents in Oracle APEX," Section: AI Capabilities in Oracle APEX, 2024.

- Oracle Cloud Infrastructure Documentation: "Oracle APEX Service Release Notes," Section: AI App Builder Features, 2024.

Oracle Cloud Infrastructure (OCI) Object Storage (Standard tier) provides high-throughput, highly durable storage designed for frequently accessed data or long-term data retention scenarios where immediate retrieval is mandatory. While OCI Archive Storage offers a lower-cost option for long-term retention, it requires a restore process with a time-to-first-byte delay ranging from minutes to hours before data becomes readable. Therefore, storing long-term application backups in Object Storage Standard satisfies both requirements: retaining backup files securely over many months and enabling instant, un-delayed retrieval whenever urgent business needs arise, without requiring prior object restoration operations or waiting periods.

B: Archive Storage requires an explicit restore process taking up to four hours before data retrieval, violating the requirement for immediate accessibility. C: File Storage is a shared network file system (NFSv3) meant for high-performance interactive workloads, making it cost-prohibitive for long-term backup retention. D: Block Volume provides high-performance block storage attached directly to compute instances, which is unsuited for object-based long-term unattached backup archives.

- Oracle Cloud Infrastructure Documentation: "Overview of Object Storage", Section: Object Storage Tiers (Standard vs. Archive), Doc ID: OCI-STOR-OBJ-01.

- OCI Storage Services Architecture Guide: "Selecting the Right Storage Service for Data Protection and Backups", Chapter 4.

Oracle APEX is Oracle's low-code application development platform designed to simplify and accelerate the creation of enterprise web applications. A major benefit of APEX is its ability to develop responsive web apps out-of-the-box using the Universal Theme, ensuring that applications automatically adapt and render optimally across various screen sizes and mobile devices. Additionally, Oracle APEX significantly speeds up application delivery, offering faster development time compared to traditional hand coding methods by eliminating up to 98% of manual coding tasks. Developers can focus on solving business problems rather than writing repetitive code, leveraging declarative tools and pre-built components integrated directly with the Oracle Database to rapidly build and deploy solutions.

B. APEX enhances developer productivity dramatically compared to traditional hand-coding methods, making this statement false regarding APEX benefits.
C. APEX stores application metadata and data in standard relational database tables and views within the Oracle Database, not inside PL/SQL objects.

Oracle APEX Application Development Documentation, "Overview of Oracle APEX", Release 23.2, Section 1.1 "Key Features of Oracle APEX".

Oracle APEX Technical Architecture Documentation, "Universal Theme and Responsive Web Application Design", Section 3.2, Oracle Corporation, 2024.

Oracle Autonomous AI Database Serverless is the optimal deployment model for development teams focused on experimentation, data exploration, and fast prototyping under tight budget constraints. Serverless offers a fully managed environment operating on a shared Exadata infrastructure, providing pay-as-you-go pricing based on compute auto-scaling and storage consumption without upfront infrastructure commitments. It completely eliminates operational management tasks, such as provisioning, patching, and tuning, allowing developers to focus entirely on building applications. Crucially, Autonomous Database Serverless fully supports all advanced AI capabilities, including AI Vector Search, vector data types, and integrated machine learning algorithms, making it the most cost-effective and agile choice for non-production development workloads without rigid high-availability requirements.

Option B: Dedicated infrastructure requires dedicated Exadata hardware provisioning, incurring significantly higher baseline operational costs that are unsuitable for low-budget development prototypes.
Option C: While Always Free tier exists, Autonomous Database Serverless fully supports modern AI capabilities and vector features required for prototyping and experimentation.
Option D: Oracle Exadata Cloud Service involves managing dedicated database infrastructure and capacity pre-allocation, leading to high management overhead and cost for simple development tasks.

- Oracle Cloud Infrastructure Documentation, "Autonomous Database Serverless Deployment Guide", Section: Architecture and Pricing Models.

- Oracle AI Database 26ai Feature Matrix, "AI Vector Search Availability Across Autonomous Cloud Deployments".

Oracle Autonomous Database provides a comprehensive suite of built-in, self-service developer and analytical tools accessible directly through the web interface without requiring additional licensing or setup. Key among these self-service capabilities are Oracle Machine Learning (OML), which empowers users to build, evaluate, and deploy machine learning models using SQL, Python, and automated AutoML interfaces, and Oracle APEX (Application Express), a low-code application development platform that enables developers to build secure, scalable enterprise applications rapidly. In addition to OML and APEX, ADB incorporates integrated Data Studio tools for data loading, transformation, and cataloging, alongside Database Actions for direct SQL interaction, thereby delivering an end-to-end self-service ecosystem for users.

A. Business Objects is a third-party SAP enterprise reporting tool and is not an integrated self-service component of Oracle Autonomous Database.
D. Encryption in Autonomous Database is applied universally at rest and in transit across the whole database system, not restricted solely to Object Storage.

- Oracle Corporation, "Oracle Autonomous Database Technical Overview," Section: "Built-in Self-Service Tools and Applications," 2024.

- Oracle Cloud Infrastructure Documentation, "Using Oracle Application Express (APEX) and Oracle Machine Learning in Autonomous Database," Doc ID: F23000-09, 2024.

Data Studio is Oracle's dedicated tool for low-code data operations including discovery, integration, and analysis with visual drag-and-drop workflows. While Database Actions is excellent for SQL development, it is not designed as a low-code integration platform. APEX focuses on application development, not data integration pipelines. SQL Developer is code-centric and does not provide the low-code visual experience requested.

Upgrading and patching Oracle Database environments is essential for maintaining operational integrity, enterprise stability, and regulatory adherence. The two primary reasons for upgrading and patching are Security and Support Compliance. Security patches (such as Release Updates and Critical Patch Updates) protect database systems against newly discovered vulnerabilities, cyber threats, and potential data breaches. Support Compliance ensures that the database software version remains within Oracle’s active support lifecycles, such as Premier Support or Extended Support. Staying compliant with vendor support policies guarantees continued access to technical support, security updates, bug fixes, and compatibility with newer operating systems, which minimizes long-term operational risk across critical enterprise infrastructure.

B. Validation of application: Application validation is a testing requirement performed prior to upgrading software, rather than an operational reason or benefit for applying patches.
D. Restructure the database: Restructuring a database involves architectural schema design or storage reorganization, which is independent of applying routine software updates or patches.

- Oracle Database Upgrade Guide, Chapter 1: "Planning Database Upgrades - Benefits and Requirements".

- Oracle Software Support Lifecycle Policy and Security Patching Guidelines (Critical Patch Update Overview).

Oracle SQLcl (SQL Developer Command Line) is a modern, lightweight command-line interface for Oracle Database that offers deep integration with Oracle Cloud Infrastructure. A key operational feature of SQLcl is its ability to execute SQL and PL/SQL batch files, allowing developers and administrators to automate database deployments, script administrative tasks, and run complex database operations seamlessly. Furthermore, SQLcl is available in OCI Cloud Shell by default, enabling instant access to database management capabilities directly from the OCI Console without requiring local installation or software configuration. This combination of script automation and native cloud accessibility makes SQLcl an essential tool for efficient cloud database operations and continuous delivery workflows.

Option A: SQLcl is a database command-line utility and does not create or manage containerized or isolated development environments like Docker or Virtual Machines.
Option B: Tracking schema change history over time is a function of database migration tools like Liquibase rather than a primary native feature of the SQLcl shell itself.

- Oracle Database Documentation: "Oracle SQLcl User's Guide," Section "Executing Scripts and Batch Files in SQLcl."

- Oracle Cloud Infrastructure Documentation: "OCI Cloud Shell Features," Section "Pre-installed Tools and Utilities - Oracle SQLcl."

Oracle Cloud Infrastructure (OCI) MySQL Database Service (MDS) utilizes OCI Block Volume Storage as its foundational database storage layer. When a MySQL DB System is provisioned in OCI, persistent data files, system tablespaces, redo logs, and binary logs are stored directly on high-performance OCI Block Volumes. Block Volumes offer low latency, high IOPS, and predictable performance necessary for relational database workloads. While OCI Object Storage can be used for automated backups or export files, the active MySQL database engine relies entirely on OCI Block Volumes for storing and managing database data.

A: Archive Storage is an extremely low-cost OCI Object Storage tier designed for long-term data retention and cold storage, not interactive database block storage. B: Object Storage is used for backups and MySQL HeatWave Lakehouse ingestion, but not as the block-level transactional storage for MySQL Database Service. D: File Storage provides network-attached file systems (NFSv3), whereas MySQL Database Service requires direct high-performance block device storage provided by Block Volume service.

1. Oracle Cloud Infrastructure Documentation, "MySQL Database Service Concepts - Storage", OCI Documentation, 2024.

2. Oracle Cloud Infrastructure Documentation, "Overview of Block Volume", OCI Core Services Documentation, Section: Block Storage for Databases.

In Oracle Cloud Infrastructure (OCI) MySQL Database Service (HeatWave), stopping a DB System halts compute resource usage and suspends OCPU billing while retaining allocated block storage and backups. Executing the "Start" command transitions the DB System from the Stopped state back to the Active state, resuming compute instance allocation and restarting OCPU hourly billing charges. While the instance remains stopped, customers only pay for persistent storage resources. Performing a Start operation reactivates the database engine, enables client connection endpoints, and resumes meter tracking for OCPU utilization. Understanding state transitions allows database administrators to optimize cloud costs by stopping non-production database systems when idle and starting them only when operational testing is needed.

B: The Stop command halts the DB System and suspends OCPU billing, rather than resuming billing. C: The Restart command reboots an already active database system and does not change OCPU billing state from suspended to active. D: The Backup command initiates a snapshot of the database storage and has no effect on starting or stopping OCPU billing states.

1. Oracle Cloud Infrastructure Documentation: MySQL Database Service User Guide, Section: "Stopping and Starting a DB System", Doc ID: OCI-MYSQL-OPS.

2. OCI Billing and Billing Control Documentation: Resource Billing States for Compute and Database Services, Section: "OCI MySQL Billing Lifecycle".

3. Oracle MySQL HeatWave Service Guide: Managing DB System Lifecycle and Cost Management, Section: "Compute Consumption Rules".