2025 NEW 1Z0-1195-25 TEST FEE 100% PASS | PASS-SURE PASS4SURE 1Z0-1195-25 DUMPS PDF: ORACLE DATA PLATFORM 2025 FOUNDATIONS ASSOCIATE

2025 New 1Z0-1195-25 Test Fee 100% Pass | Pass-Sure Pass4sure 1Z0-1195-25 Dumps Pdf: Oracle Data Platform 2025 Foundations Associate

2025 New 1Z0-1195-25 Test Fee 100% Pass | Pass-Sure Pass4sure 1Z0-1195-25 Dumps Pdf: Oracle Data Platform 2025 Foundations Associate

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Oracle 1Z0-1195-25 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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).

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Oracle Data Platform 2025 Foundations Associate Sample Questions (Q11-Q16):

NEW QUESTION # 11
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. Instant scaling of storage
  • D. Scaling of CPUs with very little downtime

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 # 12
Which ADB tool can you use to discover anomalies, outliers, and hidden patterns in your data?

  • A. Data Insights
  • B. Data Load
  • C. Data Transforms
  • D. Catalog

Answer: A

Explanation:
In the Autonomous Database (ADB), "Data Insights" (B) is the tool to discover anomalies, outliers, and hidden patterns, leveraging built-in AI and ML capabilities to analyze data. "Data Load" (A) is for importing data, "Data Transforms" (C) is for data preparation, and "Catalog" (D) is for metadata (OCI Data Catalog). Oracle's documentation identifies Data Insights for pattern detection.


NEW QUESTION # 13
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. Analytic environments
  • B. Source of managed services
  • C. Data Warehouse
  • D. View of data for discovery

Answer: D

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 # 14
What set of NoSQL-style APIs can be used in Autonomous JSON Database?

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

Answer: D

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 # 15
Which migration type uses Datapump and GoldenGate tools?

  • A. Indirect Connection
  • B. Physical Migration
  • C. Logical Migration
  • D. Direct Connection

Answer: C

Explanation:
"Logical Migration" (B) uses "Datapump" for exporting/importing database objects and "GoldenGate" for real-time replication, focusing on data and schema transfer rather than physical structures. "Physical Migration" (A) involves moving entire database files (e.g., RMAN), while "Direct Connection" (C) and "Indirect Connection" (D) are not standard migration types. Oracle's migration guides associate Datapump and GoldenGate with logical methods.


NEW QUESTION # 16
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