Pass the Oracle Oracle Cloud Infrastructure 1z0-1195-25 Questions and answers with CertsForce

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.

Oracle’s "Converged Database" supports multiple data types/models, including "Spatial" (B) for geospatial data, "Graph" (D) for relationship analytics, and "Relational" (E) for traditional structured data. "Events" (A) is not a distinct data model but a use case, and "Terraform" (C) is an infrastructure tool, not a data type. Oracle’s documentation lists Spatial, Graph, and Relational among others (e.g., JSON, XML) as core converged capabilities.

The two main benefits of "Oracle APEX" (Application Express) include "Develop responsive web apps" (D), as it enables rapid creation of scalable, mobile-friendly applications using a low-code platform. The second benefit, though not perfectly listed, aligns with faster development (implied but misstated in A). "Faster development time using hand coding" (A) is incorrect, as APEX avoids hand coding with its declarative approach. "Less productivity compared to hand coding" (B) is false, as APEX increases productivity. "Store data in PL/SQL objects" (C) is a feature, not a primary benefit. Oracle’s APEX documentation emphasizes responsive web app development and rapid delivery as key advantages.

"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.

Provisioning an "Oracle Autonomous Database" requires "Number of CPUs" (A) to define compute resources and "Workload Type" (D) (e.g., Transaction Processing, Data Warehouse) to configure the instance’s purpose. "Number of Tablespaces" (B) is not specified (managed automatically), and "Backup Location FRA Size" (C) is not a user-defined parameter (backups are handled by Oracle). Oracle’s provisioning documentation lists CPUs and workload type as mandatory.

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.

To create or modify Oracle Cloud Infrastructure (OCI) resources, "OCI REST APIs" (A) and "OCI Command-line Interface (CLI)" (C) are two primary methods. OCI REST APIs allow programmatic management of resources via HTTP requests, while the OCI CLI provides a command-line tool for scripting and automation. "Remote Desktop Protocol (RDP)" (B) is for accessing Windows-based systems, not OCI resource management, and "Secure Shell (SSH)" (D) is for accessing compute instances, not broadly creating or modifying resources. Oracle’s OCI documentation confirms REST APIs and CLI as standard management tools.

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.