1z0-1195-25 Questions and Answers

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.

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.

"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.

The "OCI Data Catalog" provides a "View of data for discovery" (D) when integrated with Autonomous Databases and OCI Object Storage in the Lakehouse solution. It serves as a metadata management service, offering a centralized view of data assets, their schemas, and relationships, enabling users to discover and understand data across the Lakehouse. "Analytic environments" (A) and "Data Warehouse" (B) refer to processing or storage constructs, not the role of Data Catalog. "Source of managed services" (C) is vague and not a documented function. Oracle’s documentation highlights Data Catalog’s role in data discovery and governance, not processing or storage.

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.

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.

"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.

"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.

A prerequisite for running "APEX" (Application Express) on an Autonomous Database is provisioning "an Autonomous Database with the workload type Data Warehouse, TransactionProcessing, JSON, or APEX" (B). APEX is supported across these workload types, with ORDS (Oracle REST Data Services) pre-enabled. Option A is incorrect, as ORDS is automatically configured. Option C is too restrictive, as APEX isn’t limited to the APEX workload type alone. Option D is unnecessary, as user creation follows provisioning, not precedes it. Oracle’s Autonomous Database documentation confirms APEX availability across these workload types with no manual ORDS setup required.

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.

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.

"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 withCI/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.

The default configuration for automatic database backups in OCI (e.g., Autonomous Database) includes "Backups occur weekly" (A), with daily incremental and weekly full backups. "Archive redo log files are backed up every 30 minutes" (B) is not default (it’s real-time logging), "Retention period is set at 14 days" (C) is incorrect (default is 60 days), and "Backups are executed on primary site" (D) is vague but not a standard config statement. Oracle’s backup documentation specifies weekly full backups as default.