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Free 1Z0-1195-25 Download | New 1Z0-1195-25 Exam Discount

Free 1Z0-1195-25 Download | New 1Z0-1195-25 Exam Discount

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Oracle 1Z0-1195-25 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 4
  • 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 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
  • 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.

Oracle Data Platform 2025 Foundations Associate Sample Questions (Q53-Q58):

NEW QUESTION # 53
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. Instant scaling of storage
  • C. Scaling of CPUs with very little downtime
  • D. Provisions a data warehouse in seconds

Answer: A,B,C

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 # 54
Which security measure is implemented out-of-the-box, and is included if you are not using BYOL licensing with Exadata Cloud@Customer?

  • A. Oracle Native Network Encryption and TDE (Transparent Data Encryption)
  • B. Oracle Key Vault
  • C. Audit Vault and Database Firewall
  • D. Database Vault and Data Masking Pack

Answer: A

Explanation:
For "Exadata Cloud@Customer" without Bring Your Own License (BYOL), "Oracle Native Network Encryption and TDE (Transparent Data Encryption)" (D) are implemented out-of-the-box. Native Network Encryption secures data in transit, while TDE encrypts data at rest, both enabled by default to ensure baseline security compliance. "Oracle Key Vault" (A), "Audit Vault and Database Firewall" (B), and "Database Vault and Data Masking Pack" (C) are advanced security options requiring additional configuration or licensing, not automatically included without BYOL. Oracle's Exadata Cloud@Customer documentation confirms these encryption features as standard.


NEW QUESTION # 55
Which workload CANNOT be run on Oracle Database 19c?

  • A. Translytical
  • B. Gaming
  • C. Hadoop Clusters
  • D. Machine Learning

Answer: C

Explanation:
"Oracle Database 19c" supports "Machine Learning" (A) via in-database algorithms, "Translytical" (B) workloads combining transactional and analytical processing, and "Gaming" (C) through high-performance transaction support. However, "Hadoop Clusters" (D) cannot run directly on 19c, as Hadoop is a distributed framework requiring a separate ecosystem (e.g., Oracle Big Data Service), not a workload natively supported within the database engine. Oracle's 19c documentation details its converged database capabilities, excluding Hadoop as a direct workload.


NEW QUESTION # 56
The DBA has determined that the number of OCPU assigned to an Autonomous Database does not provide sufficient performance. Which option does the DBA have in this case?

  • A. No downtime is required as number of OCPU can be increased from OCI console, but users have to be informed that they must not use any application for at least one hour
  • B. Call Oracle Cloud Support and raise a request to increase number of OCPU. Expect a downtime of approximately one hour
  • C. Plan for a one-hour downtime and increase the number of OCPU while database is offline
  • D. Open the database in OCI Console and increase the number of OCPU. No downtime required

Answer: D

Explanation:
For an "Autonomous Database," the DBA can "Open the database in OCI Console and increase the number of OCPU. No downtime required" (C). Autonomous Database supports dynamic scaling of OCPUs online, with no service interruption, leveraging its self-managing capabilities. Options A and B involve unnecessary downtime, and D adds an unneeded user restriction. Oracle's documentation confirms zero-downtime OCPU scaling as a key feature.


NEW QUESTION # 57
What three typical data types/models are covered by Oracle's Converged Database?

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

Answer: A,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 # 58
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