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

The Oracle-recommended way to upgrade databases is "AutoUpgrade" (D). AutoUpgrade automates the upgrade process, handling pre-checks, upgrades, and post-upgrade tasks with minimal manual intervention, reducing errors and downtime. "Database Upgrade Assistant (DBUA)" (A) is a GUI tool but less automated, "Data Pump Export/Import" (B) is for data migration, not direct upgrades, and "Command Line Upgrade" (C) is manual and error-prone. Oracle’s official upgrade guides endorse AutoUpgrade for its efficiency and reliability.

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.

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.

"Compartments" (B) in Oracle Cloud Infrastructure (OCI) allow you to logically group and isolate resources for organization, access control, and billing. "Identity and Access Management Groups" (A) organize users, not resources. "Tenancy" (C) is the root container for all resources, not a grouping mechanism, and "Availability Domain" (D) is a physical data center division, not a logical grouping tool. Oracle’s OCI documentation identifies Compartments as the primary feature for resource isolation and management.

"Exadata DB Systems" (B) is not available in the Oracle Cloud Free Tier. The Free Tier includes "Autonomous Data Warehouse" (A) with limited resources, "Compute" (C) instances, and "Monitoring" (D) services, but Exadata DB Systems, being a high-performance, premium offering, requires a paid subscription. Oracle’s Free Tier documentation lists eligible services, explicitly excluding Exadata.

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 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.

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’s Data Management strategy aims to deliver "the fastest, most scalable converged SQL database" (A), exemplified by its Autonomous Database and Exadata systems, which support multiple data types and workloads efficiently. It also seeks to "automate everything for developers, data analysts, DBAs, and data scientists" (B), leveraging self-managing, self-tuning capabilities to reduce manual effort and enhance productivity. Option C ("multiple integration points for 3rd party databases") is not a primary objective, as Oracle focuses on its own ecosystem. Option D ("best platform for warehouse workloads only") is too narrow, as the strategy spans beyond just warehousing to include transactional, analytical, and JSON workloads. Oracle’s official data management documentation emphasizes speed, scalability, and automation as core goals.

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.