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Get All Oracle Data Platform 2025 Foundations Associate Exam Questions with Validated Answers
| Vendor: | Oracle |
|---|---|
| Exam Code: | 1Z0-1195-25 |
| Exam Name: | Oracle Data Platform 2025 Foundations Associate |
| Exam Questions: | 60 |
| Last Updated: | July 9, 2026 |
| Related Certifications: | Oracle Database |
| Exam Tags: | Foundational level Oracle Data Architects and Cloud Database SpecialistsOracle Database Developers |
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Which two statements are true when deciding which Oracle Cloud Infrastructure (OCI) region to register an Exadata Cloud@Customer infrastructure in?
When registering 'Exadata Cloud@Customer' in an OCI region, you must 'consider any business policies or regulations that preclude the use of a particular region' (A), as compliance (e.g., data residency laws) dictates region selection. You should also 'consider the physical proximity of the region you register the infrastructure into your data center' (D), as proximity reduces latency for control plane interactions. Option B is false because, despite being hosted on-premises, Exadata Cloud@Customer is registered in an OCI region for management. Option C is incorrect, as the region cannot be changed post-creation without significant reconfiguration. Oracle's documentation highlights these considerations for region selection.
What is NOT a workload that can be selected when provisioning an Autonomous Database?
When provisioning an 'Autonomous Database' on Oracle Cloud Infrastructure, the supported workload types include 'JSON' (B) for document-centric applications, 'Data Warehouse' (C) for analytics, and 'APEX' (D) for low-code application development, alongside Transaction Processing (not listed here). 'MySQL' (A) is not a workload type for Autonomous Database; instead, it is a separate database service (Oracle MySQL Database Service) on OCI, not part of the Autonomous Database offering. Oracle's documentation specifies the distinct workload options available during Autonomous Database provisioning, excluding MySQL.
What are the two main features of APEX's low code platform?
Full Detailed In-Depth Explanation: Oracle APEX (Application Express) is a leading low-code platform designed to simplify and accelerate application development, particularly within the Oracle ecosystem. The two main features of APEX's low-code platform are 'Use graphical user interfaces and configuration' (D) and 'Focus on business requirements' (F). Option D reflects APEX's core strength: it provides a browser-based, declarative development environment with drag-and-drop functionality, wizards, and visual UI tools, allowing developers and business users to build applications with minimal coding. This reduces complexity and speeds up development, aligning with the low-code philosophy. Option F highlights APEX's emphasis on enabling users to address business needs directly, rather than getting bogged down in technical intricacies, by offering prebuilt components and templates tailored to solve real-world problems efficiently. 'Limited productivity' (A) is incorrect, as APEX enhances productivity significantly. 'Build scalable web apps for MongoDB' (B) is false, as APEX is optimized for Oracle Database, not MongoDB. 'Simplified core-based licensing' (C) is a licensing aspect, not a development feature, and 'Use traditional computer programming paradigms' (E) contradicts APEX's low-code approach, which minimizes hand-coding. Oracle's official APEX documentation emphasizes its graphical, business-focused design as key differentiators.
Which Lakehouse service should you use for serverless Spark processing?
For serverless Spark processing in Oracle's Lakehouse architecture, 'OCI Data Flow' (C) is the designated service. OCI Data Flow is a fully managed, serverless platform that enables users to run Apache Spark applications without managing infrastructure, making it ideal for big data processing tasks like ETL, machine learning, and analytics. 'Oracle Analytics Cloud' (A) is an analytics and visualization tool, not a Spark processing engine. 'OCI Object Storage' (B) provides scalable storage but lacks processing capabilities, and 'OCI Data Catalog' (D) is for metadata management, not Spark job execution. Oracle's OCI documentation confirms OCI Data Flow as the primary service for serverless Spark workloads in the Lakehouse.
Which Oracle Cloud Infrastructure storage platform is used by MySQL Database Service for all data storage?
The 'MySQL Database Service' on OCI uses 'Block Volume Storage' (D) for all data storage, providing high-performance, persistent block storage attached to compute instances for database operations. 'Object Storage' (A) is for unstructured data, 'Flash Local Storage' (B) is temporary and instance-specific, and 'File Storage' (C) is for shared file systems---none suit MySQL's needs. Oracle's MySQL Service documentation confirms Block Volume as the standard.
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