クライアントは購入前に1z0-1157-26トレーニング資料を自由に試してダウンロードして、製品を理解し、購入するかどうかを決定できます。製品のウェブサイトページには、1z0-1157-26学習に関する質問の詳細が記載されています。テストバンクから選択されたすべてのタイトルの一部であるデモと質問と回答の形式を確認し、教材のWebサイトページでソフトウェアの形式を知ることができます。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Introduction to AI Agents | 15% | - AI agent fundamentals
|
| Topic 2: OCI Enterprise AI Agents | 25% | - OCI Enterprise AI platform and agent services
|
| Topic 3: Model Context Protocol (MCP) Fundamentals | 15% | - MCP architecture and integration
|
| Topic 4: Agentic AI for Oracle AI Database | 25% | - Oracle AI Database agentic AI capabilities
|
| Topic 5: LangChain for AI Agents | 5% | - LangChain fundamentals and agent construction
|
| Topic 6: OpenAI Responses API and Agents SDK | 15% | - OpenAI agent stack
|
お支払いが完了したら、すぐに1z0-1157-26ガイドトレントをダウンロードできます。支払いが正常に完了すると、10〜15分でシステムから送信されたメールが届きます。その後、リンクをクリックしてログインすると、ソフトウェアを使用して1z0-1157-26 prepトレントをすぐに学習できます。私たちOracleの1z0-1157-26テスト準備は彼らにとって最高の学習を提供するだけでなく、学習者は購入後すぐに1z0-1157-26準備急流を学ぶことができるので、購入も便利です。したがって、使用と購入は学習者にとって非常に高速で便利です
質問 # 44
Which OCI capability is required for serving fine-tuned or imported custom models?
正解：B
解説：
OCI Generative AI uses Dedicated AI Clusters to provide the isolated compute infrastructure required for fine- tuning and hosting custom model workloads. Oracle defines Dedicated AI Clusters as compute resources dedicated to a customer's models rather than shared with other tenancies. They can be created specifically for fine-tuning or for hosting model endpoints.
Oracle's current model onboarding workflow confirms the requirement. For imported models, the process includes importing the model, creating a hosting Dedicated AI Cluster , creating an endpoint, and then invoking the model. Fine-tuned models similarly require dedicated clusters for fine-tuning and subsequent hosting.
Shared On-Demand inference is appropriate for supported Oracle-hosted pretrained models, but it does not provide the dedicated isolated serving environment required by these custom model workflows. Object Storage can be an input location for model artifacts or training data, but it is storage rather than model-serving infrastructure. General-purpose Free Tier compute is likewise not the managed Generative AI capability Oracle specifies for custom-model serving.
Thus, B is correct and agrees with the uploaded course material.
Study Guide reference/topic: OCI Enterprise AI Agents - Dedicated AI Clusters, imported models, fine- tuned custom models, hosting clusters, and endpoints.
質問 # 45
Which statement describes an MCP Host?
正解：C
解説：
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.
質問 # 46
Which SQL function computes distance between vectors in Oracle AI Vector Search?
正解：D
解説：
Oracle AI Vector Search uses the SQL function VECTOR_DISTANCE() as its principal mechanism for computing mathematical distance between two vector representations. The function accepts two vector expressions and can optionally accept a distance metric. Oracle describes VECTOR_DISTANCE as the main vector-distance function and supports metrics appropriate to similarity-search workloads, with cosine behavior available according to the query and vector-index configuration.
Vector distance is fundamental to semantic retrieval because an embedding model represents meaning as numerical coordinates in multidimensional space. A query embedding can therefore be compared with stored embeddings, and results can be ranked according to their calculated distance. Oracle's documentation demonstrates this pattern using ORDER BY VECTOR_DISTANCE(...) to identify vectors semantically closest to the query vector.
Oracle also provides shorthand functions such as L1_DISTANCE , L2_DISTANCE , COSINE_DISTANCE , and INNER_PRODUCT , but none of the alternative names supplied in this question- VECTOR_SCORE , SCORE_SIMILARITY , or EMBEDDING_DISTANCE -is the principal Oracle SQL function being tested.
Therefore, C is unequivocally correct and matches the uploaded source answer.
Study Guide reference/topic: Agentic AI for Oracle AI Database - Oracle AI Vector Search, VECTOR_DISTANCE, distance metrics, and similarity search.
質問 # 47
Which standard MCP transport supports remote or network-accessible deployments where multiple clients may connect?
正解：B
解説：
Streamable HTTP is the standard MCP transport intended for remote or network-accessible client-server communication. Current MCP architecture documentation distinguishes it from STDIO by explaining that Streamable HTTP uses HTTP POST for client-to-server communication and can optionally use Server-Sent Events for streaming. It enables communication with remote MCP servers and can support standard HTTP authentication mechanisms.
The MCP transport specification further establishes two standard transport mechanisms: stdio and Streamable HTTP . With STDIO, the client launches an MCP server as a local subprocess and exchanges JSON-RPC messages through standard input and standard output. That pattern is therefore most appropriate for local process integration. By comparison, a Streamable HTTP server operates as an independent service and can handle multiple client connections, making it suitable for centralized or cloud-hosted MCP deployments.
Raw TCP sockets and local Unix pipes are not the standard remote MCP transport defined by the protocol.
Therefore, C is correct and matches the supplied source material.
Study Guide reference/topic: Model Context Protocol (MCP) Fundamentals - STDIO versus Streamable HTTP transport and remote MCP deployment.
質問 # 48
Which message format does MCP use for client-server communication?
正解：D
解説：
MCP uses JSON-RPC 2.0 as the underlying message protocol for communication between MCP clients and MCP servers. JSON-RPC provides a structured representation for requests, responses, errors, and one-way notifications while remaining independent of the underlying transport. This separation is important because the same protocol semantics can operate over STDIO or Streamable HTTP.
The MCP architecture documentation states that the data layer implements a JSON-RPC 2.0-based exchange protocol defining message structures and semantics. It also explains that the transport layer abstracts communication details, allowing the same JSON-RPC message format to operate across supported transports.
The MCP specification similarly requires messages between clients and servers to follow JSON-RPC structures, including methods, parameters, IDs for requests, and result/error structures for responses.
SOAP/XML is a different web-service protocol family; GraphQL is primarily a query language and API runtime; Protocol Buffers is a binary serialization technology. None is the MCP-defined wire-message format.
Therefore, option B is correct and agrees with the uploaded answer key.
Study Guide reference/topic: Model Context Protocol (MCP) Fundamentals - JSON-RPC 2.0, requests, responses, notifications, and transport independence.
質問 # 49
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1z0-1157-26学習実践ガイドは、実際の試験を刺激する機能を強化します。クライアントは当社のソフトウェアを使用して、実際の試験を刺激し、実際の1z0-1157-26試験の速度、環境、プレッシャーに精通し、実際の試験の準備を整えることができます。仮想試験環境では、クライアントは速度を調整して1z0-1157-26の質問に答え、実際の戦闘能力を訓練し、実際のテストのプレッシャーに合わせて調整できます。また、1z0-1157-26学習実践ガイドの習熟度を理解することもできます。
1z0-1157-26勉強資料: https://www.jpexam.com/1z0-1157-26_exam.html