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Oracle 1Z0-1195-25 Exam Syllabus Topics:

Topic	Details
Topic 1	Resiliency: This section tests the knowledge of Database Security Engineers and Disaster Recovery Specialists in implementing Oracle's Maximum Security Architecture and Maximum Availability Architecture to ensure database resiliency and high availability.
Topic 2	Data Lake, Data Warehouse, and Machine Learning: This section evaluates the expertise of Data Scientists and Big Data Engineers in understanding UCI's Data Lakehouse architecture, Oracle Machine Learning capabilities, and Data Mesh architecture for managing distributed data environments.
Topic 3	Exadata and DBCS: This section tests the knowledge of Exadata Specialists and Database Administrators in understanding Exadata deployment options, lifecycle management tasks such as patching and backup, and the features of Oracle Base Database Service (DOracle NoSQL Database ServiceBCS).
Topic 4	Converged Database: This section evaluates the expertise of Multi-Model Database Specialists and Application Developers in using Oracle's converged database for multi-model use cases. It covers JSON, graph, and spatial data capabilities within the Oracle Database.
Topic 5	Data Management Introduction: This section of the exam measures the skills of Data Architects and Cloud Database Specialists in understanding Oracle's data management strategy. It covers Oracle's database offerings, deployment options, and multi-cloud and hybrid cloud solutions for managing data using Oracle Cloud Infrastructure.
Topic 6	Upgrades and Migrations: This section tests the knowledge of Migration Specialists and Cloud Architects in planning cloud migrations. It includes various migration strategies to OCI, as well as upgrade options for transitioning existing databases to newer versions or cloud environments.
Topic 7	Developing on Oracle Database: This section measures the skills of Application Developers and DevOps Engineers in managing Autonomous Databases using REST APIs, Oracle's data toolset, low-code development with APEX, and CI CD processes for database tools and APEX applications.
Topic 8	Autonomous Database and Tools: This section evaluates the expertise of Database Administrators and Cloud Engineers in working with Oracle Autonomous Database (ADB). It includes provisioning ADB instances, scaling CPU and storage, starting and stopping databases, and using tools to load data into ADB effectively.

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Oracle Data Platform 2025 Foundations Associate Sample Questions (Q23-Q28):

NEW QUESTION # 23
Which deployment option provides the highest degree of security and governance while providing a completely self-service database experience?

A. Oracle Autonomous Database
B. Oracle MySQL Database Service
C. Exadata Cloud Service
D. Oracle Database Cloud Service

Answer: A

Explanation:
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.

NEW QUESTION # 24
Exadata is the integration of software and hardware and is available to customers on which deployments?

A. In the Oracle Cloud and customer site
B. Only in public cloud environments
C. Only at the customer site
D. Only in a hybrid cloud

Answer: A

Explanation:
"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.

NEW QUESTION # 25
Which of the following has expanded flexibility with shared or dedicated Exadata infrastructure?

A. Oracle Autonomous Database
B. Oracle Exalogic Cloud Service
C. Oracle Exadata Cloud Service
D. Oracle Database Cloud Service

Answer: C

Explanation:
"Oracle Exadata Cloud Service" (B) offers expanded flexibility with shared or dedicated Exadata infrastructure, allowing customers to choose between cost-effective shared resources or isolated dedicated hardware for performance and compliance needs. "Oracle Database Cloud Service" (A) is VM-based and lacks Exadata's hardware integration, "Oracle Autonomous Database" (C) is fully managed without hardware choice, and "Oracle Exalogic Cloud Service" (D) is an outdated middleware platform, not database-focused. Oracle's documentation highlights Exadata Cloud Service's deployment options.

NEW QUESTION # 26
The Oracle Cloud Infrastructure (OCI) Data Catalog is an integral part of the Lakehouse solution. What level of data detail does Data Catalog provide when integrated with Autonomous Databases and Object Storage?

A. View of data for discovery
B. Source of managed services
C. Analytic environments
D. Data Warehouse

Answer: A

Explanation:
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.

NEW QUESTION # 27
Which workload CANNOT be run on Oracle Database 19c?

A. Gaming
B. Machine Learning
C. Hadoop Clusters
D. Translytical

Answer: C

Explanation:
"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.

NEW QUESTION # 28
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