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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: | May 21, 2026 |
| Related Certifications: | Oracle Database |
| Exam Tags: | Foundational level Oracle Data Architects and Cloud Database SpecialistsOracle Database Developers |
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Which ADB tool can you use to discover anomalies, outliers, and hidden patterns in your data?
In the Autonomous Database (ADB), 'Data Insights' (B) is the tool to discover anomalies, outliers, and hidden patterns, leveraging built-in AI and ML capabilities to analyze data. 'Data Load' (A) is for importing data, 'Data Transforms' (C) is for data preparation, and 'Catalog' (D) is for metadata (OCI Data Catalog). Oracle's documentation identifies Data Insights for pattern detection.
Which deployment option provides the highest degree of security and governance while providing a completely self-service database experience?
The 'Oracle Autonomous Database' (B) offers the highest degree of security and governance with a self-service experience. It includes automated security features (e.g., TDE, network encryption), self-patching, and fine-grained access controls, all managed by Oracle, while allowing users to provision and manage databases independently. 'Exadata Cloud Service' (A) provides high performance but requires more manual oversight. 'Oracle Database Cloud Service' (C) offers flexibility but less automation, and 'Oracle MySQL Database Service' (D) lacks the same level of autonomous security. Oracle's documentation positions Autonomous Database as the pinnacle of secure, self-service deployment.
Oracle Data Lakehouse streamlines the integration, storage, and processing of dat
a. Which two services are used for persistence of the data in Lakehouse?
In Oracle's Data Lakehouse architecture, data persistence refers to the storage layer where data is durably maintained. 'Autonomous Database' (B) provides a managed, self-tuning relational database for structured data persistence, supporting SQL-based workloads. 'OCI Object Storage' (D) offers scalable, durable storage for unstructured and semi-structured data, such as files, images, and logs, serving as the data lake component of the Lakehouse. 'OCI Data Catalog' (A) is a metadata management service, not a persistence layer, and 'OCI GoldenGate' (C) handles data replication and integration, not direct storage. Oracle's Lakehouse documentation identifies Autonomous Database and OCI Object Storage as the primary persistence services.
What self-service tools are available with the Autonomous Database?
The 'Autonomous Database' offers self-service tools like 'Oracle Machine Learning' (B), enabling users to build ML models directly in the database, and 'Low-Code App Dev, APEX' (C), allowing rapid application development via Oracle APEX. 'Business Objects' (A) is a third-party BI tool, not native to ADB, and 'Encryption only in Object Storage' (D) is a feature, not a tool, and inaccurate (encryption is broader). Oracle's documentation highlights OML and APEX as key self-service capabilities.
Which tool is provided to support Continuous Integration/Continuous Delivery (CI/CD) workflows?
'SQLcl (including Liquibase)' (D) is the tool provided to support CI/CD workflows. SQLcl integrates with Liquibase to track, version, and deploy database schema changes, aligning with CI/CD pipelines. 'ADB console' (A) is for monitoring, 'Database Actions' (B) is for SQL tasks, and 'SQL Developer' (C) is a GUI tool, none of which are CI/CD-focused. Oracle's documentation highlights SQLcl's Liquibase integration for DevOps workflows.
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