1z0-1195-26는Oracle의 인증시험입니다.1z0-1195-26인증시험을 패스하면Oracle인증과 한 발작 더 내디딘 것입니다. 때문에1z0-1195-26시험의 인기는 날마다 더해갑니다.1z0-1195-26시험에 응시하는 분들도 날마다 더 많아지고 있습니다. 하지만1z0-1195-26시험의 통과 율은 아주 낮습니다.1z0-1195-26인증시험준비중인 여러분은 어떤 자료를 준비하였나요?
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 |
| Topic 2: MySQL HeatWave and NoSQL Services | ~11% | - MySQL HeatWave architecture and analytics - Oracle NoSQL Database features and use cases |
| Topic 3: Oracle Machine Learning and AI Integration | ~15% | - AI agents and LLM integration - In-database machine learning algorithms - Oracle Data Studio and visualization |
| Topic 4: Oracle Database Services — Exadata, DBCS, and Engineered Systems | ~11% | - Exadata architecture and features - Database Cloud Service (DBCS) characteristics |
| Topic 5: Data Management and Oracle Data Platform Overview | ~11% | - Modern data platform value and architecture - Oracle Data Strategy and multi-cloud deployment models - Data management concepts and data types |
| Topic 6: Security, Resilience, and Cloud Integration | ~21% | - Database security architectures and data protection - High availability, backup, and disaster recovery - Cloud-native database services and deployment strategies |
| Topic 7: Autonomous AI Database and Tools | ~16% | - Core features of Autonomous AI Database - Shared vs dedicated infrastructure - Built-in management and query tools |
Oracle인증 1z0-1195-26덤프로Oracle시험을 패스,하지 못하셨다구요? 최선을 다했는데도 실패하였다는 말은 영원히 하지마세요. Oracle인증 1z0-1195-26시험을 패스하는 방법은 많고도 많습니다. PassTIP의Oracle인증 1z0-1195-26덤프로 시험에 다시 도전해보세요. PassTIP의Oracle인증 1z0-1195-26덤프는 착한 가격에 100%에 달하는 적중율과 패스율을 보장해드립니다. 시험에서 불합격성적표를 받으시면 덤프구매시 지불한 덤프비용을 환불처리해드립니다. PassTIP의Oracle인증 1z0-1195-26덤프로 시험패스를 꿈꿔보세요.
질문 # 43
What describes the role of the Database Actions menu in Autonomous AI Database?
정답：B
설명：
Database Actions serves as the primary web-based launchpad for built-in Autonomous AI Database tooling.
Oracle describes Database Actions, also known as SQL Developer Web, as an integrated interface containing development, data, administration, monitoring, and download features. From this environment, users can access SQL Worksheet, Data Modeler, REST, JSON tools, Oracle Machine Learning, Graph Studio, Oracle APEX, Data Studio functions, database-user administration, Data Pump, Performance Hub, and other database services.
Its role is therefore broader than any single database technology. Graph Studio is one tool accessible through the environment rather than a replacement for SQL. Network isolation is configured through Autonomous AI Database networking facilities such as private endpoints, not by treating Database Actions itself as a network- access mechanism. Likewise, vector-index settings represent only one narrow area of database functionality and do not define the Database Actions environment. Oracle also documents Data Studio as a feature area accessed through Database Actions, reinforcing the concept of Database Actions as a common launchpad for multiple specialized workspaces. The uploaded question set marks the central built-in-tools location as the correct response.
Study Guide reference: Using Oracle Database Actions and Data Studio Tools - Database Actions Launchpad, development tools, Data Studio, administration, and monitoring.
질문 # 44
A vector index will not fit entirely in memory. Which index organization option should be considered for use?
정답：C
설명：
NEIGHBOR PARTITIONS is the correct index organization when an entirely memory-resident vector graph is unsuitable. The uploaded assessment identifies NEIGHBOR PARTITIONS as the intended answer.
Oracle AI Vector Search distinguishes two primary approximate vector-index organizations: INMEMORY NEIGHBOR GRAPH , based on HNSW, and NEIGHBOR PARTITIONS , based on IVF.
HNSW is specifically an in-memory graph structure. Oracle documentation describes HNSW indexes as specialized memory-only structures and provides vector-memory-pool facilities for holding them. By contrast, the IVF-based Neighbor Partition index organizes vectors into centroid-based partitions and narrows each approximate search to relevant partitions rather than maintaining the complete graph as an in-memory HNSW structure.
EXACT SEARCH ONLY is not an index organization and would typically require evaluating a broader candidate set, sacrificing the scalability benefits of approximate indexing. TARGET ACCURACY is a parameter governing the accuracy/performance trade-off of approximate searches, not an index organization.
INMEMORY NEIGHBOR GRAPH directly conflicts with the stated memory constraint.
Study Guide reference: Working with AI and Vector Foundations - vector index organizations, IVF
/Neighbor Partitions, HNSW/In-Memory Neighbor Graph, and approximate similarity search.
질문 # 45
A business team wants to launch a no-code AI agent quickly. They prefer to start from a ready-made option and later refine the publishing workflow. Which Private Agent Factory capability path fits this need?
정답：D
설명：
Oracle AI Database Private Agent Factory is explicitly designed as a no-code environment for rapidly building, testing, and deploying intelligent agents. Oracle documents that Agent Factory supports pre-built agents, custom-built agents, and end-to-end workflows and includes curated agentic templates intended to accelerate implementation. Starting from one of these ready-made assets minimizes initial design work and is therefore the strongest match for a business team that prioritizes rapid deployment.
If additional customization becomes necessary, Agent Builder provides a visual no-code environment for constructing and refining agents and workflows from modular components. Oracle describes capabilities including drag-and-drop workflow construction, data connectors, LLM integration, APIs, custom agent creation, multi-agent orchestration, and reusable templates. This establishes a logical progression: begin with a pre-built agent/template to obtain functionality quickly, then move into Agent Builder when deeper customization or workflow tailoring is required. Starting from a completely blank agent would unnecessarily increase implementation effort, while a prompt-only prototype bypasses Agent Factory's governed agent capabilities. The source question likewise identifies the pre-built-to-Agent-Builder path as correct.
Study Guide reference: Building Low-Code Applications and Agentic AI - Private Agent Factory, pre-built agents, templates, and Agent Builder.
질문 # 46
Which set is included in the Oracle AI Database 26ai converged approach?
정답：D
설명：
Oracle AI Database 26ai follows a converged database strategy in which multiple data models and workload capabilities are supported within a unified database platform. Oracle describes 26ai as supporting AI, microservices, graph, document, spatial, and relational applications within one converged database. AI Vector Search extends that approach by adding native vector storage and similarity search alongside established relational, JSON, graph, text, and spatial functionality.
The architectural objective is to avoid creating separate point-solution databases whenever an application needs a different representation of data. For example, structured customer information can remain relational, document-oriented information can use JSON, relationships can be analyzed as graphs, geospatial information can use Spatial capabilities, and semantic representations can reside as vectors. These capabilities can then participate in integrated queries instead of forcing applications to continuously replicate and synchronize data among independent database products.
Options A and C contradict this strategy by introducing separate document, graph, or vector stores. Option B mixes workload capabilities with infrastructure and operational concepts such as storage buckets and billing rather than identifying the database's core converged data models. Option D correctly enumerates relational, JSON, vector, graph, and spatial capabilities and matches the source question's designated answer.
Study Guide reference: Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics - converged database architecture and multi-model data support.
질문 # 47
A developer wants one place to work with SQL, REST endpoints, JSON features, APEX, and machine learning tools. Which entry point should the developer use?
정답：B
설명：
Database Actions is the correct centralized entry point because it is the browser-based development and administration environment bundled with Autonomous AI Database. Oracle documents Database Actions as providing development, data, administration, monitoring, and download capabilities. Its Development area includes SQL, Data Modeler, REST, JSON, Oracle Machine Learning, Graph Studio, and Oracle APEX, which directly matches the developer's requirement for a single integrated workspace. The SQL worksheet supports SQL and PL/SQL development, while REST and JSON tools expose database data through modern application interfaces. APEX provides low-code application development, and Oracle Machine Learning integrates analytical and machine-learning workflows with database-resident data.
The other choices are individual configuration concepts rather than comprehensive developer entry points.
Customer-managed key rotation relates to encryption-key lifecycle management; vector target accuracy controls approximate vector-search behavior; and a Property Graph View is a graph modeling construct.
Therefore, none provides the breadth of tooling required. The uploaded question set likewise identifies Database Actions as the correct response.
Study Guide reference: Using Oracle Database Actions and Data Studio Tools - Database Actions development tools and integrated workspaces.
질문 # 48
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IT인증자격증을 취득하는 것은 IT업계에서 자신의 경쟁율을 높이는 유력한 수단입니다. 경쟁에서 밀리지 않으려면 자격증을 많이 취득하는 편이 안전합니다.하지만 IT자격증취득은 생각보다 많이 어려운 일입니다. Oracle인증 1z0-1195-26시험은 인기자격증을 취득하는데 필요한 시험과목입니다. PassTIP는 여러분이 자격증을 취득하는 길에서의 없어서는 안될 동반자입니다. PassTIP의Oracle인증 1z0-1195-26덤프로 자격증을 편하게 취득하는게 어떨가요?
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