발달한 네트웨크 시대에 인터넷에 검색하면 많은Oracle인증 1z0-1195-26시험공부자료가 검색되어 어느 자료로 시험준비를 해야 할지 망서이게 됩니다. 이 글을 보는 순간 다른 공부자료는 잊고Itexamdump의Oracle인증 1z0-1195-26시험준비 덤프를 주목하세요. 최강 IT전문가팀이 가장 최근의Oracle인증 1z0-1195-26 실제시험 문제를 연구하여 만든Oracle인증 1z0-1195-26덤프는 기출문제와 예상문제의 모음 공부자료입니다. Itexamdump의Oracle인증 1z0-1195-26덤프만 공부하면 시험패스의 높은 산을 넘을수 있습니다.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics | 20% | - Create an Autonomous AI Database Serverless instance for a basic workload - Describe Autonomous AI Database characteristics, offerings, and deployment choices - Explain modern data characteristics and the Oracle AI Database 26ai converged strategy |
| Topic 2: Working with AI and Vector Foundations | 15% | - Apply vector distance and indexing concepts to similarity search needs - Describe AI, AGI, and machine learning foundations - Explain vectors, embeddings, and the Oracle VECTOR data type |
| Topic 3: Building Low-Code Applications and Agentic AI | 10% | - Describe Oracle APEX as Oracle's low-code platform - Choose the appropriate Agent Factory capability for a no-code AI agent use case |
| Topic 4: Using Oracle Database Actions and Data Studio Tools | 15% | - Describe Database Actions and core development tools - Apply Data Studio capabilities to data discovery, integration, analysis, and sharing tasks |
| Topic 5: Implementing Select AI and AI Vector Search in Autonomous AI Database | 20% | - Determine how AI Vector Search supports GenAI pipelines and RAG - Apply AI Vector Search to combined semantic and business-data search scenarios - Describe Select AI in Autonomous AI Database |
| Topic 6: Working with JSON and Graph in Oracle AI Database | 20% | - Describe core graph concepts and graph analytic capabilities - Distinguish when graph capabilities and Property Graph Views fit a business use case - Explain JSON and Oracle AI Database JSON capabilities |
>> 1z0-1195-26인기자격증 시험덤프 최신자료 <<
Oracle 1z0-1195-26 시험이 어렵다고해도 Itexamdump의 Oracle 1z0-1195-26시험잡이 덤프가 있는한 아무리 어려운 시험이라도 쉬워집니다. 어려운 시험이라 막무가내로 시험준비하지 마시고 문항수도 적고 모든 시험문제를 커버할수 있는Oracle 1z0-1195-26자료로 대비하세요. 가장 적은 투자로 가장 큰 득을 보실수 있습니다.
질문 # 43
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?
정답：D
질문 # 44
You just provisioned a Serverless database and need to confirm when application teams can begin connecting to it. When is the database ready for connections?
정답：D
설명：
The database should be treated as ready after provisioning completes and its lifecycle state becomes Available
. The uploaded question source explicitly identifies this state as the correct readiness point. Oracle Autonomous AI Database documentation uses Available as the operational lifecycle state for an instance and requires that state for numerous database-management operations. Oracle's connection documentation then describes applications and client tools connecting to an existing Autonomous AI Database through supported Oracle Net Services and built-in tools.
Selecting Create only initiates the provisioning workflow. OCI still has to allocate and configure the underlying service resources before the database becomes operational. Loading a JSON collection is an application-data activity performed after database availability and is unrelated to whether the database service itself is ready. Likewise, Data Studio is a built-in data-management environment; creation or use of a Data Studio workflow is not a prerequisite for normal database connectivity.
For certification purposes, the decisive distinction is between provisioning initiated and provisioning completed . The Available lifecycle status indicates that the service has completed the provisioning process sufficiently for normal database use.
Study Guide reference: Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics - Serverless provisioning, lifecycle states, and database connectivity.
질문 # 45
A manufacturer needs graph analysis that reflects inserts and updates from operational tables immediately.
How does a Property Graph View support this requirement?
정답：A
설명：
A Property Graph View provides a graph interpretation directly over data stored in relational database tables rather than requiring a separately maintained copy of that data. Oracle documents the Property Graph View as a view-like object containing metadata describing vertices, edges, labels, keys, and properties. Because the underlying graph information remains in the referenced relational tables, modifications to those tables are immediately reflected when the graph is queried.
This architecture directly satisfies the manufacturer's requirement. When operational applications insert or update rows in the underlying objects, graph queries subsequently operate against the updated relational data through the graph metadata definition. There is no required intermediate conversion to JSON and no scheduled batch refresh of a separate graph copy. Oracle also supports direct graph queries against database- resident property graph structures, including pattern matching through database graph-query facilities.
A separate in-memory graph server can be used for certain advanced analytics scenarios, but that does not change what a database Property Graph View fundamentally provides. The key exam distinction is metadata- based graph representation over existing database objects versus duplicated graph storage requiring synchronization. Therefore, option D precisely matches the required real-time operational behavior.
Study Guide reference: Working with JSON and Graph in Oracle AI Database - Property Graph Views, metadata-based graph modeling, and relational-table integration.
질문 # 46
What does Select AI enable in Autonomous AI Database?
정답：B
설명：
Select AI enables users to interact with Autonomous AI Database by expressing requests in natural language rather than manually constructing SQL. Oracle documents that Select AI uses generative AI and large language models to convert natural-language input into Oracle SQL. Depending on the requested action, the generated SQL can be displayed, explained, executed, or its results can be transformed into a natural-language response. This makes database information accessible to users who understand the business question but may not know SQL syntax or the underlying schema.
Internally, Select AI can augment a prompt with schema metadata, interact with the configured LLM, generate SQL, run the query, and optionally narrate the resulting data. It also extends beyond NL2SQL into Retrieval-Augmented Generation, conversations, and other generative-AI capabilities. It does not replace relational SQL with graph pattern matching, manage encryption-key rotation, or provision Autonomous AI Database infrastructure. Those are unrelated database administration or graph functions. The supplied question bank explicitly marks the natural-language data-query capability as correct.
Study Guide reference: Implementing Select AI and AI Vector Search in Autonomous AI Database - Select AI, natural-language interaction, NL2SQL, and LLM integration.
질문 # 47
How is Oracle APEX described?
정답：D
설명：
Oracle APEX is Oracle's low-code application development platform , making option C correct. The uploaded source explicitly identifies this characterization. Oracle's current documentation defines APEX as a complete low-code platform for rapidly building secure, scalable enterprise applications. Developers work primarily through the browser-based App Builder and configure declarative components, pages, features, and data sources rather than manually writing the entire application stack.
APEX is built as part of Oracle Database and provides direct access to Oracle Database data. Its model-driven architecture allows developers to use declarative metadata for common application functionality while retaining SQL, PL/SQL, JavaScript, REST, and other extension mechanisms when custom logic is necessary.
The incorrect options describe entirely different Oracle technologies. Graph analytics and property graphs are Oracle Database graph capabilities, not the definition of APEX. Encryption-key lifecycle management belongs to database security and services such as OCI Vault. Oracle's optimized binary representation for JSON storage is OSON.
The exam-level distinction is therefore direct: APEX addresses rapid application creation, especially data- centric enterprise applications, through a browser-based low-code development model tightly integrated with Oracle Database.
Study Guide reference: Building Low-Code Applications and Agentic AI - Oracle APEX, low-code development, App Builder, and database-driven applications.
질문 # 48
......
Oracle 1z0-1195-26 시험탈락시Oracle 1z0-1195-26덤프비용전액을 환불해드릴만큼 저희 덤프자료에 자신이 있습니다. Itexamdump에서는Oracle 1z0-1195-26덤프를 항상 최신버전이도록 보장해드리고 싶지만Oracle 1z0-1195-26시험문제변경시점을 예측할수 없어 시험에서 불합격받을수도 간혹 있습니다. 하지만 시험에서 떨어지면 덤프비용을 전액 환불해드려 고객님의 이익을 보장해드립니다.
1z0-1195-26시험대비 덤프데모 다운: https://www.itexamdump.com/1z0-1195-26.html