1z0-1195-25 Oracle Data Platform 2025 Foundations Associate Questions and Answers

For "Exadata Cloud@Customer" without Bring Your Own License (BYOL), "Oracle Native Network Encryption and TDE (Transparent Data Encryption)" (D) are implemented out-of-the-box. Native Network Encryption secures data in transit, while TDE encrypts data at rest, both enabled by default to ensure baseline security compliance. "Oracle Key Vault" (A), "Audit Vault and DatabaseFirewall" (B), and "Database Vault and Data Masking Pack" (C) are advanced security options requiring additional configuration or licensing, not automatically included without BYOL. Oracle’s Exadata Cloud@Customer documentation confirms these encryption features as standard.

Oracle offers a "Dedicated cloud region" (D) as an industry-first feature to support multicloud strategies. This allows customers to run a fully managed OCI region within their own data center or a partner cloud, integrating with other providers like Azure or AWS. "Private and public cloud network" (A) is vague, "Cloud databases" (B) are common across vendors, and "Oracle FastConnect" (C) is a connectivity service, not unique to multicloud. Oracle’s documentation highlights the Dedicated Region as a pioneering multicloud solution.

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.

The "Converged Database" facilitates API access by "A REST API is automatically generated on top of SQL or stored procedures" (B), using Oracle REST Data Services (ORDS). This allows developers to expose database logic as RESTful endpoints without manual coding. Option A is incorrect, as no separate compute instance is provided. Option C oversimplifies, as multiple REST interfaces can be created, not just one. Option D misrepresents the ADB Wallet’s role, which is for security, not API generation. Oracle’s documentation highlights ORDS auto-generation as a converged feature.

The Oracle Cloud and Microsoft Azure interconnect offers "Low Latency" (B), achieved through a high-speed, private connection between OCI and Azure data centers, reducing delays for cross-cloud workloads. It also provides "Unified identity and access management" (C), integrating Oracle IAM with Azure Active Directory for seamless user authentication. "Upgrade compliance" (A) is vague and not a documented benefit, while "Connection to other multicloud environments" (D) is not specific to this partnership. Oracle’s multicloud documentation highlights latency and identity integration as key advantages.

"Autonomous Transaction Processing" (ATP) is "used for OLTP and mixed workloads" (A), designed for high-performance transactional processing and hybrid workloads. "Data is stored in columnar format" (B) applies to Autonomous Data Warehouse, not ATP. "Used for analytic workloads" (C) is ADW’s focus, and "Used with data marts and machine learning" (D) is more ADW-specific. Oracle’s ATP documentation confirms its OLTP focus.

The "Autonomous JSON Database" is "Accessed via document APIs" (A), such as SODA, for NoSQL-style operations, and offers "Instant auto-scaling" (D) for compute and storage with no downtime. "Applications cannot be built without SQL" (B) is false, as document APIs suffice, and "A DBA is required" (C) is incorrect due to its self-managing nature. Oracle’s documentation highlights these autonomous and API-driven features.

In the Oracle Cloud Infrastructure (OCI) Lakehouse, data processing capabilities are provided by services designed to handle computation and transformation of data. "Autonomous Database" (A) offers self-managing data processing for SQL workloads, "Big Data Service" (C) supports large-scale processing with Hadoop and Spark, and "OCI Data Flow" (D) enables serverless Spark processing. However, "NoSQL Service" (B) is primarily a storage service for unstructured key-value data, optimized for high-performance retrieval and scalability, not for general data processing tasks like transformation or analytics. Oracle’s Lakehouse documentation emphasizes processing services like Autonomous Database, Big Data Service, and OCI Data Flow, while NoSQL Service is positioned for persistence and access rather than processing.

"FastConnect" (D) is the interconnect solution to connect Oracle Cloud Infrastructure (OCI) to other cloud providers (e.g., Azure, AWS) via dedicated, high-speed links. "Virtual Cloud Network" (A) is an OCI internal network, "Virtual Private Cloud" (B) is an AWS term, and "Cloud Router" (C) is not a specific OCI offering (though third-party routers like Megaport exist). Oracle’s documentation confirms FastConnect for multicloud connectivity.

The "OCI Data Catalog" has two true characteristics: "Harvest object storage to derive schemas" (B), as it scans OCI Object Storage to extract metadata and schemas, and "Discover data using powerful search" (C), offering robust search capabilities for data discovery. "Management is required" (A) is vague and not a defining trait, and "Data Catalog does not integrate with Autonomous Database" (D) is false, as it integrates seamlessly for metadata management. Oracle’s documentation confirms these features.

The three security zones of control in Oracle’s security framework are "Assess" (A), for identifying risks and sensitive data, "Detect" (B), for monitoring and identifying threats, and "Prevent" (C), for implementing safeguards. "Solve" (D) is not a standard zone (perhaps intended as "Resolve," but still not part of the trio). Oracle’s security model, as seen in Data Safe and OCI, defines these as core zones.

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.

"Oracle Database 19c" supports "Machine Learning" (A) via in-database algorithms, "Translytical" (B) workloads combining transactional and analytical processing, and "Gaming" (C) through high-performance transaction support. However, "Hadoop Clusters" (D) cannot run directly on 19c, as Hadoop is a distributed framework requiring a separate ecosystem (e.g., Oracle Big Data Service), not a workload natively supported within the database engine. Oracle’s 19c documentation details its converged database capabilities, excluding Hadoop as a direct workload.

The most important reason to upgrade and patch is "Security" (A). Patches address vulnerabilities, protecting against exploits and ensuring compliance, which outweighs "Fix bugs" (C) in priority. "Restructure the database" (B) is unrelated to patching, and "Upgrading and patching the database is not important" (D) is false. Oracle’s security guidelines prioritize patching for protection.

In the Oracle Data Platform, the "Supply Side" refers to foundational data elements that are passively collected and structured to provide meaning within the data ecosystem. According to Oracle’s official documentation, the supply side includes "Business rules" (A), which define the logic and policies governing data usage, ensuring consistency and compliance, and "Domain objects" (B), which represent structured entities or concepts within a business domain, forming the backbone of data modeling. "Technical definitions of business terms" (C) pertain to metadata management, and "Reports" (D) are outputs rather than core supply-side models. Oracle’s Data Platform Foundations emphasize business rules and domain objects as key components of the supply side for data integration and processing.