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Oracle 1Z0-1195-25 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 3

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 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.

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

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).

Topic 7

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 (Q48-Q53):

NEW QUESTION # 48
What are the two main features of APEX's low code platform?

A. Limited productivity
B. Simplified core-based licensing
C. Use graphical user interfaces and configuration
D. Focus on business requirements
E. Use traditional computer programming paradigms
F. Build scalable web apps for MongoDB

Answer: C,D

Explanation:
Full Detailed In-Depth Explanation: Oracle APEX (Application Express) is a leading low-code platform designed to simplify and accelerate application development, particularly within the Oracle ecosystem. The two main features of APEX's low-code platform are "Use graphical user interfaces and configuration" (D) and "Focus on business requirements" (F). Option D reflects APEX's core strength: it provides a browser-based, declarative development environment with drag-and-drop functionality, wizards, and visual UI tools, allowing developers and business users to build applications with minimal coding. This reduces complexity and speeds up development, aligning with the low-code philosophy. Option F highlights APEX's emphasis on enabling users to address business needs directly, rather than getting bogged down in technical intricacies, by offering prebuilt components and templates tailored to solve real-world problems efficiently. "Limited productivity" (A) is incorrect, as APEX enhances productivity significantly. "Build scalable web apps for MongoDB" (B) is false, as APEX is optimized for Oracle Database, not MongoDB. "Simplified core-based licensing" (C) is a licensing aspect, not a development feature, and "Use traditional computer programming paradigms" (E) contradicts APEX's low-code approach, which minimizes hand-coding. Oracle's official APEX documentation emphasizes its graphical, business-focused design as key differentiators.

NEW QUESTION # 49
What security control area determines if there is sensitive data in a system?

A. Users
B. Detect
C. Assess
D. Protect

Answer: C

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 # 50
What is a prerequisite of running APEX on an Autonomous Database?

A. APEX can only be used when selecting APEX as a workload when provisioning an Autonomous Database
B. An Autonomous Database with the workload type Data Warehouse, Transaction Processing, JSON, or APEX
C. DBA must create APEX admin and APEX users first before starting APEX from Oracle Cloud Infrastructure Console
D. A DBA must enable ORDS first

Answer: B

Explanation:
A prerequisite for running "APEX" (Application Express) on an Autonomous Database is provisioning "an Autonomous Database with the workload type Data Warehouse, Transaction Processing, JSON, or APEX" (B). APEX is supported across these workload types, with ORDS (Oracle REST Data Services) pre-enabled. Option A is incorrect, as ORDS is automatically configured. Option C is too restrictive, as APEX isn't limited to the APEX workload type alone. Option D is unnecessary, as user creation follows provisioning, not precedes it. Oracle's Autonomous Database documentation confirms APEX availability across these workload types with no manual ORDS setup required.

NEW QUESTION # 51
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. Autonomous Database
B. Big Data Service
C. NoSQL Service
D. OCI Data Flow

Answer: C

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 # 52
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. REST Interface
B. Oracle Machine Learning for Python (OML4PY) APIs
C. Tuning of hyperparameter
D. Cognitive text

Answer: B

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 # 53
......

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