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| Section | Weight | Objectives |
|---|---|---|
| MySQL HeatWave and NoSQL Services | ~11% | - Oracle NoSQL Database features and use cases - MySQL HeatWave architecture and analytics |
| Security, Resilience, and Cloud Integration | ~21% | - Database security architectures and data protection - Cloud-native database services and deployment strategies - High availability, backup, and disaster recovery |
| Data Management and Oracle Data Platform Overview | ~11% | - Data management concepts and data types - Modern data platform value and architecture - Oracle Data Strategy and multi-cloud deployment models |
| Oracle Database Services — Exadata, DBCS, and Engineered Systems | ~11% | - Database Cloud Service (DBCS) characteristics - Exadata architecture and features |
| Oracle Machine Learning and AI Integration | ~15% | - In-database machine learning algorithms - Oracle Data Studio and visualization - AI agents and LLM integration |
| Converged Database — Multi-Model and AI Capabilities | ~15% | - JSON, Graph, Spatial, and key-value data support - Oracle AI Vector Search concepts - Select AI and natural language querying |
| Autonomous AI Database and Tools | ~16% | - Core features of Autonomous AI Database - Shared vs dedicated infrastructure - Built-in management and query tools |
>> Exam Questions Oracle 1z0-1195-26 Vce <<
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NEW QUESTION # 35
In a property graph, what are vertices and edges?
Answer: B
NEW QUESTION # 36
What is the operational benefit of using a converged database instead of several point-solution databases?
Answer: A
Explanation:
A converged database can reduce operational complexity because multiple data models and workload types can use a common database platform with a more consistent approach to security, upgrades, patching, and maintenance . The uploaded question source explicitly identifies option C. Oracle documentation states that Oracle AI Database is a converged, multimodel database and specifically highlights a common approach for security, upgrades, patching, and maintenance.
With separate point-solution databases, organizations may need distinct administrator skill sets, identity configurations, encryption mechanisms, backup procedures, monitoring systems, patch schedules, and replication pipelines. Consolidating appropriate workloads onto a converged database can remove portions of that duplicated operational footprint while allowing relational, JSON, graph, spatial, vector, and other capabilities to work together.
However, convergence does not mean security policies can stop being reviewed. Governance remains necessary. It also does not require every workload to use an identical physical schema or application-access mechanism; Oracle supports multiple data models and APIs precisely because applications have different access requirements.
Option D describes a disadvantage of fragmented point solutions: separate databases frequently introduce synchronization processes. The converged architecture is intended to reduce, rather than require, such duplication.
Study Guide reference: Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics - converged architecture, operational simplification, security, patching, and maintenance.
NEW QUESTION # 37
Which task is a common use of graph analytics?
Answer: D
Explanation:
Determining communities or connected clusters in a network is a canonical graph-analytics use case. The uploaded source identifies option D as the correct response. Oracle Property Graph documentation explicitly lists finding communities , influencers, recommendations, graph traversal, pattern matching, and path finding among typical graph-analysis operations. Oracle AI Database 26ai documentation also identifies Community Detection as a supported graph-analysis algorithm.
Community detection examines topology to identify groups of vertices that are more strongly connected with one another than with the remainder of the network. Examples include identifying customer communities in social networks, coordinated groups in fraud investigations, clusters of interconnected devices in telecommunications, or related entities in knowledge graphs.
The other choices deliberately discard the characteristic that makes graph analytics useful: relationships.
Listing unrelated records and sorting a scalar column are standard tabular operations. Storing relationships as isolated text values prevents the database from traversing and analyzing those relationships as graph edges.
Graph analytics becomes valuable when the question concerns connectivity, paths, neighborhoods, influence, centrality, clusters, or structural patterns rather than merely individual records and attributes.
Study Guide reference: Working with JSON and Graph in Oracle AI Database - graph analytics, community detection, connectivity, and network analysis.
NEW QUESTION # 38
How does Oracle APEX help developers build applications with Oracle Database data?
Answer: B
Explanation:
Oracle APEX is Oracle's low-code application development platform and is tightly integrated with Oracle Database. Oracle documentation describes APEX as providing browser-based enterprise application development with direct access to Oracle Database data. Developers configure pages, components, workflows, data sources, reports, forms, and business logic declaratively through App Builder rather than constructing every layer manually.
APEX explicitly embraces SQL. Developers can use SQL and PL/SQL to query and manipulate database- resident information while leveraging declarative components to minimize conventional coding effort.
Because the application engine operates close to the database, applications also inherit Oracle capabilities for transactions, security, concurrency, availability, analytics, and data management. Autonomous AI Database includes Oracle APEX capabilities and allows developers to create APEX workspaces and applications directly against database data.
APEX is therefore neither a disconnected application platform nor a command-line scripting framework. It is also distinct from Graph Studio and graph analytics capabilities used for operations such as community detection. The defining characteristics relevant to this question are its browser-based low-code development environment and native access to Oracle Database through SQL. The uploaded question bank confirms option B.
Study Guide reference: Building Low-Code Applications and Agentic AI - Oracle APEX, App Builder, browser-based development, and SQL integration.
NEW QUESTION # 39
A business wants one data platform where semantic similarity, relational consistency, and SQL-based filtering all work together.
Which statement aligns with this design goal?
Answer: D
NEW QUESTION # 40
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