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| Section | Objectives |
|---|---|
| OCI Enterprise AI Platform | - OCI Enterprise AI services overview - OCI Enterprise AI Agents and Knowledge Bases |
| Oracle AI Database for Agentic AI | - Agentic AI capabilities in Oracle AI Database - Oracle AI Vector Search |
| Building Agents with LangChain and OpenAI Agent Stack | - OpenAI Agents SDK usage - LangChain components and chains |
| Agent Fundamentals and Reasoning Patterns | - Agent reasoning patterns and workflows - AI agent core concepts and architectures |
| Implementing Model Context Protocol (MCP) | - MCP fundamentals and integration |
| Enterprise Agent Development and Governance | - Guardrails, agent tracing and monitoring - Multi-agent systems and handoffs - Function calling and tool integration |
여러분은 먼저 우리 ExamPassdump사이트에서 제공되는Oracle인증1z0-1157-26시험덤프의 일부분인 데모를 다운받으셔서 체험해보세요. ExamPassdump는 여러분이 한번에Oracle인증1z0-1157-26시험을 패스하도록 하겠습니다. 만약Oracle인증1z0-1157-26시험에서 떨어지셨다고 하면 우리는 덤프비용전액 환불입니다.
질문 # 30
What is the default distance metric for VECTOR_DISTANCE in Oracle for non-BINARY vectors?
정답：A
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 # 31
Which statement describes an MCP Host?
정답：A
설명：
The MCP Host is the top-level AI application in the Model Context Protocol architecture. Its responsibility is to coordinate the broader application experience and manage the MCP clients used to connect with one or more MCP servers. The official MCP architecture specifies that an MCP host creates a separate MCP client for each server connection and describes the host as the AI application that coordinates and manages one or multiple MCP clients.
The distinction between host, client, and server is essential. An MCP client maintains the protocol connection to a corresponding MCP server. An MCP server exposes capabilities such as tools, resources, and prompts.
The host integrates these connections with the AI application's model and user interaction flow. Therefore, it is incorrect to define the host as the protocol specification itself, an external REST service, or the component that necessarily implements each individual tool.
Option D most accurately represents this orchestration role: the host coordinates the LLM-facing application and MCP client connections to the servers providing capabilities. The source question identifies D accordingly.
Study Guide reference/topic: Model Context Protocol (MCP) Fundamentals - MCP Host, MCP Client, MCP Server, and client-server architecture.
질문 # 32
What is long-term memory in OCI Enterprise AI Agents?
정답：C
설명：
OCI Enterprise AI Agents uses long-term memory to preserve useful information beyond the lifetime of an individual conversation. Oracle documents long-term memory as durable memory across conversations , associated through a subject identifier within an OCI Generative AI project. When enabled, important information can be extracted from conversations, converted into embeddings, persisted, and retrieved during subsequent interactions involving the same subject. This differs from short-term memory, which primarily maintains or compacts context within an ongoing conversation. Long-term memory is therefore not the model's pretraining corpus, a fixed training dataset, or general-purpose container block storage. It is an agent- oriented context mechanism designed to improve continuity and personalization while keeping memory governed within project boundaries. Consequently, option C precisely reflects Oracle's documented Enterprise AI Agents architecture. Oracle Docs
질문 # 33
In the context of MCP, what does the "USB-C for AI" analogy emphasize?
정답：C
설명：
The "USB-C for AI" analogy emphasizes standardization and interoperability . Just as USB-C defines a common interface through which many devices can connect to different peripherals, MCP defines a standardized protocol through which AI applications can connect to external tools, services, and contextual data sources.
The OpenAI Agents SDK's official MCP documentation summarizes MCP as an open protocol that standardizes how applications provide tools and context to language models and explicitly uses the USB-C analogy to explain the common connectivity layer. The key architectural advantage is reduction of bespoke integrations. A compatible host or agent can discover and interact with capabilities exposed by MCP servers without requiring a completely different proprietary integration model for every service.
The analogy has nothing to do with processor performance, physical installation, or specialized hardware.
MCP is a software interoperability protocol. Its abstractions-hosts, clients, servers, tools, resources, prompts, and standardized messaging-are intended to make integration consistent across heterogeneous systems.
Therefore, the concept being tested is a standardized interface , making C correct. This matches the uploaded source.
Study Guide reference/topic: Model Context Protocol (MCP) Fundamentals - MCP standardization, interoperability, and the "USB-C for AI" concept.
질문 # 34
What occurs during the MCP initialization phase?
정답：B
설명：
MCP initialization establishes compatibility between the MCP client and server before normal protocol operations begin. During initialization, the parties establish a mutually supported protocol version and exchange their supported capabilities and implementation information. The client initiates the process with an initialize request containing its protocol version, capabilities, and client information. The server responds with its supported protocol version, capabilities, and server information, after which the client signals that initialization has completed. Authentication is handled at the transport or deployment security layer rather than being the defining initialization exchange. MCP initialization also does not fine-tune the LLM or execute every registered tool. This capability-negotiation process enables OCI agent applications using MCP Calling to understand which remote capabilities can safely be used. Model Context Protocol
질문 # 35
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요즘같이 시간인즉 금이라는 시대에 시간도 절약하고 빠른 시일 내에 학습할 수 있는 ExamPassdump의 덤프를 추천합니다. 귀중한 시간절약은 물론이고 한번에Oracle 1z0-1157-26인증시험을 패스함으로 여러분의 발전공간을 넓혀줍니다.
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