1Z0-1195-25 LATEST DUMPS - 1Z0-1195-25 ACCURATE STUDY MATERIAL

1Z0-1195-25 Latest Dumps - 1Z0-1195-25 Accurate Study Material

1Z0-1195-25 Latest Dumps - 1Z0-1195-25 Accurate Study Material

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Oracle 1Z0-1195-25 Exam Syllabus Topics:

TopicDetails
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 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
  • 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.

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Oracle Data Platform 2025 Foundations Associate Sample Questions (Q28-Q33):

NEW QUESTION # 28
Which two are true about the Data Catalog?

  • A. Management is required
  • B. Data Catalog does not integrate with Autonomous Database
  • C. Discover data using powerful search
  • D. Harvest object storage to derive schemas

Answer: C,D

Explanation:
The "OCI Data Catalog" has two true characteristics: "Harvest object storage to derive schemas" (B), as it scans OCI Object Storage to extract metadata and schemas, and "Discover data using powerful search" (C), offering robust search capabilities for data discovery. "Management is required" (A) is vague and not a defining trait, and "Data Catalog does not integrate with Autonomous Database" (D) is false, as it integrates seamlessly for metadata management. Oracle's documentation confirms these features.


NEW QUESTION # 29
Which of the following has expanded flexibility with shared or dedicated Exadata infrastructure?

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

Answer: B

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 # 30
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. Domain objects
  • C. Reports
  • D. Business rules

Answer: B,D

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 # 31
Oracle Lakehouse provides extensive data processing capabilities, to accommodate the migration of existing architectures or the creation of new, agile ones. Which service does NOT provide data processing on Oracle Cloud Infrastructure (OCI) Lakehouse?

  • A. NoSQL Service
  • B. Autonomous Database
  • C. Big Data Service
  • D. OCI Data Flow

Answer: A

Explanation:
In the Oracle Cloud Infrastructure (OCI) Lakehouse, data processing capabilities are provided by services designed to handle computation and transformation of data. "Autonomous Database" (A) offers self-managing data processing for SQL workloads, "Big Data Service" (C) supports large-scale processing with Hadoop and Spark, and "OCI Data Flow" (D) enables serverless Spark processing. However, "NoSQL Service" (B) is primarily a storage service for unstructured key-value data, optimized for high-performance retrieval and scalability, not for general data processing tasks like transformation or analytics. Oracle's Lakehouse documentation emphasizes processing services like Autonomous Database, Big Data Service, and OCI Data Flow, while NoSQL Service is positioned for persistence and access rather than processing.


NEW QUESTION # 32
Which ADB tool can you use to discover anomalies, outliers, and hidden patterns in your data?

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

Answer: D

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 # 33
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