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[General] 1Z0-1195-25 Practice Mock - Valid Dumps 1Z0-1195-25 Pdf

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【General】 1Z0-1195-25 Practice Mock - Valid Dumps 1Z0-1195-25 Pdf

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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
  • 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 3
  • 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 4
  • 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 (Q27-Q32):NEW QUESTION # 27
Which tool is provided to support Continuous Integration/Continuous Delivery (CI/CD) workflows?
  • A. SQL Developer (including ADB wallet)
  • B. ADB console (including Performance Hub)
  • C. Database Actions (including real-time SQL monitor)
  • D. SQLcl (including Liquibase)
Answer: D
Explanation:
"SQLcl (including Liquibase)" (D) is the tool provided to support CI/CD workflows. SQLcl integrates with Liquibase to track, version, and deploy database schema changes, aligning with CI/CD pipelines. "ADB console" (A) is for monitoring, "Database Actions" (B) is for SQL tasks, and "SQL Developer" (C) is a GUI tool, none of which are CI/CD-focused. Oracle's documentation highlights SQLcl's Liquibase integration for DevOps workflows.

NEW QUESTION # 28
Which component is NOT included as part of an Oracle NoSQL table Oracle Cloud Identifier (OCID)?
  • A. Unique ID
  • B. Compartment ID
  • C. Region
  • D. Resource type
Answer: C

NEW QUESTION # 29
What is NOT a workload that can be selected when provisioning an Autonomous Database?
  • A. APEX
  • B. JSON
  • C. MySQL
  • D. Data Warehouse
Answer: C
Explanation:
When provisioning an "Autonomous Database" on Oracle Cloud Infrastructure, the supported workload types include "JSON" (B) for document-centric applications, "Data Warehouse" (C) for analytics, and "APEX" (D) for low-code application development, alongside Transaction Processing (not listed here). "MySQL" (A) is not a workload type for Autonomous Database; instead, it is a separate database service (Oracle MySQL Database Service) on OCI, not part of the Autonomous Database offering. Oracle's documentation specifies the distinct workload options available during Autonomous Database provisioning, excluding MySQL.

NEW QUESTION # 30
What security control area determines if there is sensitive data in a system?
  • A. Assess
  • B. Detect
  • C. Protect
  • D. Users
Answer: A
Explanation:
In Oracle's security framework, the "Assess" security control area (C) is responsible for determining whether sensitive data exists within a system. This phase involves data discovery, classification, and risk analysis to identify sensitive information such as PII or financial data. "Users" (A) relates to access management, "Detect" (B) focuses on identifying threats or breaches, and "Protect" (D) involves implementing safeguards-none of these directly address the initial identification of sensitive data. Oracle's Data Safe and OCI security documentation highlight "Assess" as the key stage for sensitive data discovery, often leveraging tools like Data Catalog or Data Safe.

NEW QUESTION # 31
Which Lakehouse service should you use for serverless Spark processing?
  • A. Oracle Analytics Cloud
  • B. OCI Object Storage
  • C. OCI Data Catalog
  • D. OCI Data Flow
Answer: D
Explanation:
For serverless Spark processing in Oracle's Lakehouse architecture, "OCI Data Flow" (C) is the designated service. OCI Data Flow is a fully managed, serverless platform that enables users to run Apache Spark applications without managing infrastructure, making it ideal for big data processing tasks like ETL, machine learning, and analytics. "Oracle Analytics Cloud" (A) is an analytics and visualization tool, not a Spark processing engine. "OCI Object Storage" (B) provides scalable storage but lacks processing capabilities, and "OCI Data Catalog" (D) is for metadata management, not Spark job execution. Oracle's OCI documentation confirms OCI Data Flow as the primary service for serverless Spark workloads in the Lakehouse.

NEW QUESTION # 32
......
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