Pass4Test는 고객님의 IT자격증취득의 작은 소원을 이루어지게 도워드리는 IT인증시험덤프를 제공해드리는 전문적인 사이트입니다. Pass4Test 표 Oracle인증1z0-1157-26시험덤프가 있으면 인증시험걱정을 버리셔도 됩니다. Pass4Test 표 Oracle인증1z0-1157-26덤프는 시험출제 예상문제를 정리해둔 실제시험문제에 가장 가까운 시험준비공부자료로서 공을 들이지않고도 시험패스가 가능합니다.
| Section | Objectives |
|---|---|
| Topic 1: LangChain for AI Agents | - LangChain fundamentals
|
| Topic 2: OpenAI Responses API and Agents SDK | - OpenAI agent development
|
| Topic 3: Introduction to AI Agents | - Agent development concepts
|
| Topic 4: Introduction to MCP | - Model Context Protocol fundamentals
|
| Topic 5: OCI Enterprise AI Agents | - OCI Enterprise AI platform
|
| Topic 6: Agentic AI for Oracle AI Database | - Oracle AI Database agentic AI capabilities
|
Pass4Test 질문 풀은 실제시험 변화의 기반에서 스케줄에 따라 업데이트 합니다. 만일 Oracle 1z0-1157-26테스트에 어떤 변화가 생긴다면, 적중율이 항상 98% 이상을 유지 할 수 있도록 2일간의 근무일 안에 제품을 업데이트 하도록 합니다. Pass4Test는 고객들이 테스트에 성공적으로 합격 할 수 있도록 하기 위하여 업데이트 된 버전을 구매후 서비스로 제공해드립니다. 시험에서 불합격받으셨는데 업데이트가 힘든 상황이면 덤프비용을 환불해드립니다.
질문 # 31
Which approaches are supported by OCI Enterprise AI Agents?
정답：B
질문 # 32
What is the default distance metric for VECTOR_DISTANCE in Oracle for non-BINARY vectors?
정답：C
설명：
Oracle AI Vector Search defines VECTOR_DISTANCE as the primary SQL function for calculating the distance between two vectors. When the function is called without explicitly specifying a distance metric, Oracle specifies COSINE as the default metric for ordinary, non-BINARY vectors. Cosine distance measures the angular relationship between vector representations and is widely used for semantic similarity because embeddings with similar meaning tend to point in similar directions in vector space. Oracle treats BINARY vectors differently: their default metric is HAMMING. Euclidean, or L2, distance is supported but must be selected when required; it is not the general default. Levenshtein distance applies to string-edit comparisons, while bitwise XOR is not the default Oracle vector-distance metric. Therefore, for the scenario stated in the question, option C is the verified answer. Oracle Docs
질문 # 33
What integration problem does MCP address?
정답：B
설명：
MCP addresses the integration fragmentation created when multiple AI applications must independently connect to multiple external tools, services, and data sources. The uploaded course material characterizes this explicitly as the N × M custom-connector problem : without a common interoperability layer, every application-to-tool pairing can require a separate integration.
The official MCP architecture supports this framing by defining a standardized client-server protocol. MCP hosts establish clients that communicate with MCP servers, while servers expose reusable capabilities such as tools, resources, and prompts. A compatible AI application therefore consumes capabilities through the MCP protocol rather than requiring a completely bespoke protocol implementation for each downstream system.
MCP's tool-discovery mechanism further allows clients to obtain standardized names, descriptions, and schemas dynamically.
The problem is architectural interoperability, not GPU allocation, inference latency, or context-window limitations. Those issues require separate model, infrastructure, or prompt-management techniques. MCP instead standardizes the boundary between AI applications and external capabilities, reducing duplicated connector logic and enabling reusable integrations.
Study Guide reference/topic: Model Context Protocol (MCP) Fundamentals - interoperability, MCP client
/server architecture, tool discovery, and the N × M integration problem.
질문 # 34
Which statement describes an LLM-based AI agent?
정답：C
설명：
An LLM-based AI agent is not simply a foundation model or chatbot user interface. It is a system in which an LLM acts as a reasoning and decision-making component while an orchestration layer gives it access to instructions, tools, state, external information, and potentially other agents. This architecture enables the system to decide which actions to perform and in what sequence to pursue a defined objective.
OpenAI describes an agent as an LLM equipped with instructions, tools, and handoffs, allowing it to plan, use tools to gather information or take actions, and delegate tasks when appropriate. Oracle similarly explains that AI agents use tools to communicate with external systems and dynamically determine which tools or integrations to use and in which order to achieve a goal.
An agent therefore does not require training an entirely new model architecture. The underlying LLM may be an existing pretrained model. What makes the system agentic is the combination of model reasoning with orchestration, tool execution, observations, state, and iterative decision-making.
Accordingly, D provides the correct architectural definition and matches the answer supplied in the uploaded source.
Study Guide reference/topic: Introduction to AI Agents - LLM-based agents, reasoning, tools, orchestration, actions, observations, and agent loops.
질문 # 35
Which MCP primitive is model-controlled and used to perform actions?
정답：D
설명：
In MCP, Tools are the primitive explicitly designed to be model-controlled. They represent executable functions that an MCP server exposes so that a language model can take actions, retrieve information, query databases, invoke APIs, modify files, or perform computations. The uploaded question set identifies Tools as the correct answer.
The official MCP specification defines three principal server primitives with different control models:
Prompts are user-controlled , Resources are application-controlled , and Tools are model-controlled . Tools can be discovered by the model-facing application and invoked automatically according to the model's contextual interpretation of the user's request.
Resources differ because they primarily provide contextual data such as file contents or database schemas.
Prompts provide reusable templates or instructions normally selected through user interaction. "Schemas" are not one of the three MCP primitives in this control hierarchy; schemas describe structures such as tool parameters rather than constituting a standalone primitive.
Therefore, A is correct.
Study Guide reference/topic: Model Context Protocol (MCP) Fundamentals - MCP primitives, Tools, Resources, Prompts, control hierarchy, and tool invocation.
질문 # 36
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Pass4Test는 Oracle인증관련덤프를 제공하는 최고의 업체입니다, 덤프들은 Pass4Test의 베터랑의 전문가들이 오랜 풍부한 경험과 1z0-1157-26지식으로 만들어낸 최고의 제품입니다. 그리고 우리는 온라인무료 서비스도 제공되어 제일 빠른 시간에 소통 상담이 가능합니다.
1z0-1157-26합격보장 가능 덤프문제: https://www.pass4test.net/1z0-1157-26.html