Quiz Oracle - 1Z0-1195-25 - Oracle Data Platform 2025 Foundations Associate–Efficient Related Certifications

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Oracle 1Z0-1195-25 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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 4	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 5	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 6	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 7	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 8	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.

Oracle Data Platform 2025 Foundations Associate Sample Questions (Q12-Q17):

NEW QUESTION # 12
What is the FINAL release supporting the non-CDB architecture?

A. Oracle Database 19c
B. Oracle Database 23c
C. Oracle Database 18c
D. Oracle Database 21c

Answer: A

Explanation:
The final release supporting the "non-CDB (non-Container Database)" architecture is "Oracle Database 19c" (B). Oracle deprecated the non-CDB architecture starting with 20c (never fully released) and mandated the multitenant architecture (CDB with PDBs) from 21c onward. 19c, as a long-term support release, was the last to support non-CDB databases, with Oracle recommending migration to multitenant in subsequent versions like 23c. Oracle's documentation confirms 19c as the end of non-CDB support.

NEW QUESTION # 13
What three typical data types/models are covered by Oracle's Converged Database?

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

Answer: B,C,D

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 # 14
Oracle Automated Machine Learning (AutoML) has options for using in-database and open-source algorithms. Which is an example of an in-database option?

A. Tuning of hyperparameter
B. Cognitive text
C. Oracle Machine Learning for Python (OML4PY) APIs
D. REST Interface

Answer: C

Explanation:
An example of an in-database option in Oracle Automated Machine Learning (AutoML) is "Oracle Machine Learning for Python (OML4PY) APIs" (C). OML4Py enables Python-based machine learning directly within the database, leveraging in-database algorithms for performance and security. "REST Interface" (A) is an access method, "Cognitive text" (B) is a feature, not an algorithm type, and "Tuning of hyperparameter" (D) is a process, not a specific option. Oracle's documentation highlights OML4Py as a key in-database ML tool.

NEW QUESTION # 15
What does ORDS stand for?

A. Oracle Rapid Data Systems
B. Oracle REST Data Services
C. Oracle REAP Diagnosis Systems
D. Oracle Resilient Data Security

Answer: B

Explanation:
ORDS stands for "Oracle REST Data Services," a middleware component provided by Oracle to enable RESTful access to Oracle Database and related services. It allows developers to expose SQL queries, database objects, and stored procedures as REST APIs, facilitating integration with modern applications. Options B ("Oracle Resilient Data Security"), C ("Oracle Rapid Data Systems"), and D ("Oracle REAP Diagnosis Systems") are not recognized terms in Oracle's official documentation. ORDS is extensively documented in Oracle's cloud and database resources as a critical tool for RESTful services, particularly in environments like Autonomous Database and Oracle Cloud Infrastructure (OCI).

NEW QUESTION # 16
Which are the capabilities of Oracle Autonomous Database that can accelerate innovation? (Choose 3)

A. Built-in AI and ML helps find patterns that could identify undiscovered anomalies
B. Provisions a data warehouse in seconds
C. Scaling of CPUs with very little downtime
D. Instant scaling of storage

Answer: A,C,D

Explanation:
"Oracle Autonomous Database" accelerates innovation with: "Scaling of CPUs with very little downtime" (A), enabling dynamic performance adjustments online; "Built-in AI and ML helps find patterns that could identify undiscovered anomalies" (B), leveraging in-database machine learning; and "Instant scaling of storage" (C), providing flexibility without interruption. "Provisions a data warehouse in seconds" (D) is true but more a setup feature than an ongoing innovation driver. Oracle's documentation emphasizes these capabilities for rapid development and insights.

NEW QUESTION # 17
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Quiz Oracle - 1Z0-1195-25 - Oracle Data Platform 2025 Foundations Associate–Efficient Related Certifications

Free PDF Quiz 2025 Oracle 1Z0-1195-25: The Best Related Oracle Data Platform 2025 Foundations Associate Certifications

Oracle 1Z0-1195-25 Exam Syllabus Topics:

Oracle Data Platform 2025 Foundations Associate Sample Questions (Q12-Q17):

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