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Oracle Data Lakehouse streamlines the integration, storage, and processing of data. 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 are two important reasons to upgrade and patch?
Two important reasons to upgrade and patch are 'Support Compliance' (A), ensuring the database remains under Oracle's support policy with access to updates, and 'Security' (C), applying patches to mitigate vulnerabilities and protect data. 'Validation of application' (B) is a byproduct, not a primary reason, and 'Restructure the database' (D) is unrelated to patching. Oracle's maintenance guides emphasize compliance and security as key drivers.
What is the most important reason to upgrade and patch?
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.
Exadata is the integration of software and hardware and is available to customers on which deployments?
'Exadata' integrates software and hardware and is available both 'In the Oracle Cloud and customer site' (D). It is offered as Exadata Cloud Service (public cloud) and Exadata Cloud@Customer (on-premises), providing flexibility for hybrid deployments. 'Only in a hybrid cloud' (A) is too restrictive, 'Only in public cloud environments' (B) ignores Cloud@Customer, and 'Only at the customer site' (C) excludes the cloud option. Oracle's documentation confirms Exadata's availability in both OCI and on-premises configurations.
What component is not included in a MySQL Database Service DB System?
A 'MySQL Database Service DB System' includes a 'Compute Instance' (A) for processing, a 'Virtual Network Interface' (B) for networking, and 'Block Storage' (D) for data. 'FastConnect' (C), a high-speed connectivity service to OCI, is not a component of the DB system itself but an optional external connection. Oracle's MySQL Service documentation lists the core components, excluding FastConnect.
What is NOT a workload that can be selected when provisioning an Autonomous Database?
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.
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.
Exam domains verified against: Official Oracle 1Z0-1195-26 exam guide, last checked October 2026.
Explain modern data characteristics and the Oracle AI Database 26ai converged strategy. Describe Autonomous AI Database characteristics, offerings, and deployment choices including creating Serverless instances for basic workloads.
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Describe AI, AGI, and machine learning foundations. Explain vectors, embeddings, and the Oracle VECTOR data type, and apply vector distance and indexing concepts to similarity search needs.
Describe Select AI in Autonomous AI Database. Apply AI Vector Search to combined semantic and business-data search scenarios and determine how it supports GenAI pipelines and RAG.
Describe Database Actions and core development tools. Apply Data Studio capabilities to data discovery, integration, analysis, and sharing tasks.
Sample question from this domain above: Q3
Describe Oracle APEX as Oracle's low-code platform. Choose the appropriate Agent Factory capability for a no-code AI agent use case.
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