LATEST ORACLE 1Z0-1195-25 STUDY PLAN & 1Z0-1195-25 HIGH PASSING SCORE

Latest Oracle 1Z0-1195-25 Study Plan & 1Z0-1195-25 High Passing Score

Latest Oracle 1Z0-1195-25 Study Plan & 1Z0-1195-25 High Passing Score

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Oracle 1Z0-1195-25 Exam Syllabus Topics:

TopicDetails
Topic 1
  • MySQL and NoSQL: This section measures the skills of Database Developers and Data Engineers in working with Oracle MySQL HeatWave Database Service. It focuses on their features and uses cases for modern application development.
Topic 2
  • 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 3
  • 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.
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
  • 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 6
  • 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.

Oracle Data Platform 2025 Foundations Associate Sample Questions (Q33-Q38):

NEW QUESTION # 33
Supply Side is data that is passive and means something. What two models and libraries are included in the supply side?

  • A. Technical definitions of business terms
  • B. Business rules
  • C. Domain objects
  • D. Reports

Answer: B,C

Explanation:
In the Oracle Data Platform, the "Supply Side" refers to foundational data elements that are passively collected and structured to provide meaning within the data ecosystem. According to Oracle's official documentation, the supply side includes "Business rules" (A), which define the logic and policies governing data usage, ensuring consistency and compliance, and "Domain objects" (B), which represent structured entities or concepts within a business domain, forming the backbone of data modeling. "Technical definitions of business terms" (C) pertain to metadata management, and "Reports" (D) are outputs rather than core supply-side models. Oracle's Data Platform Foundations emphasize business rules and domain objects as key components of the supply side for data integration and processing.


NEW QUESTION # 34
What set of NoSQL-style APIs can be used in Autonomous JSON Database?

  • A. OASD (Oracle Application Storage Definition)
  • B. SODA (Simple Oracle Document Access)
  • C. DOSA (Document Open Solution Access)
  • D. OSDA (Oracle Simple Document Access)

Answer: B

Explanation:
The "Autonomous JSON Database" supports NoSQL-style document access through "SODA" (Simple Oracle Document Access) APIs (B). SODA provides a simple, intuitive interface for developers to interact with JSON documents stored in the database using operations like insert, query, and update, without requiring SQL knowledge. Options A ("OASD"), C ("DOSA"), and D ("OSDA") are not recognized API sets in Oracle's documentation. SODA is explicitly documented as the standard NoSQL API for Autonomous JSON Database, aligning with Oracle's converged database strategy to support multiple data models.


NEW QUESTION # 35
Oracle Data Lakehouse streamlines the integration, storage, and processing of dat a. Which two services are used for persistence of the data in Lakehouse?

  • A. OCI Data Catalog
  • B. OCI GoldenGate
  • C. OCI Object Storage
  • D. Autonomous Database

Answer: C,D

Explanation:
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.


NEW QUESTION # 36
What three typical data types/models are covered by Oracle's Converged Database?

  • A. Terraform
  • B. Spatial
  • C. Events
  • D. Relational
  • E. Graph

Answer: B,D,E

Explanation:
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.


NEW QUESTION # 37
Which statement is true about Autonomous Transaction Processing?

  • A. It is used for OLTP and mixed workloads
  • B. Data is stored in columnar format
  • C. It is used for analytic workloads
  • D. It is used with data marts and machine learning

Answer: A

Explanation:
"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.


NEW QUESTION # 38
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