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Oracle 1z0-1157-26 Exam Syllabus Topics:

SectionObjectives
OpenAI Responses API and Agents SDK- OpenAI agent development
  • 1. Responses API
    • 2. Function calling and tools
      • 3. OpenAI Agents SDK
        • 4. Multi-agent handoffs
          • 5. Guardrails and tracing
            Introduction to AI Agents- Agent development concepts
            • 1. Multi-agent design patterns and handoffs
              • 2. OpenAI Agents SDK guardrails
                • 3. Function calling and tool use
                  - AI agent fundamentals and architecture
                  • 1. Core agent components: LLMs, tools, and orchestration loops
                    • 2. AI agents, traditional chatbots, and rule-based systems
                      • 3. Agent reasoning patterns including Chain-of-Thought and ReAct
                        • 4. Safety, guardrails, and responsible agentic workflows
                          Introduction to MCP- Model Context Protocol fundamentals
                          • 1. Tool discovery and interoperability
                            • 2. MCP concepts and architecture
                              • 3. MCP clients and servers
                                OCI Enterprise AI Agents- OCI Enterprise AI platform
                                • 1. Building and running AI agents
                                  • 2. Agent development, orchestration, and execution
                                    • 3. Responses API, tools, memory, and vector stores
                                      • 4. Deployment and scaling
                                        • 5. OCI Enterprise AI Agents service
                                          Agentic AI for Oracle AI Database- Oracle AI Database agentic AI capabilities
                                          • 1. Document chunking, embedding generation, and retrieval
                                            • 2. Oracle AI Vector Search
                                              • 3. Oracle AI Database Private Agent Factory
                                                • 4. Oracle Autonomous AI Database MCP Server
                                                  • 5. Grounding agent responses with enterprise data
                                                    • 6. Select AI
                                                      • 7. Vector data types, embeddings, and similarity search
                                                        LangChain for AI Agents- LangChain fundamentals
                                                        • 1. Building agents with LangChain
                                                          • 2. Agent invocation and orchestration flow
                                                            • 3. Tools, tool schemas, and tool execution
                                                              • 4. LangChain and LangChain Expression Language

                                                                Oracle Agentic AI Foundations Associate Sample Questions:

                                                                Question #1

                                                                Which description defines memory poisoning in AI-agent systems?

                                                                • A. Long prompts causing temporary context loss.
                                                                • B. Malicious content inserted into persistent memory stores.
                                                                • C. A SQL injection attack against a database.
                                                                • D. Hardware instability affecting RAM reliability.
                                                                Answer: B

                                                                Explanation: Only visible for Easy4Engine members. You can sign-up / login (it's free).

                                                                Question #2

                                                                What is short-term memory compaction in OCI Enterprise AI Agents?

                                                                • A. A masking process for prompt content
                                                                • B. A summarization process for long conversations
                                                                • C. A network optimization for agent requests
                                                                • D. A runtime optimization for Python tools
                                                                Answer: B

                                                                Explanation: Only visible for Easy4Engine members. You can sign-up / login (it's free).

                                                                Question #3

                                                                Which approaches are supported by OCI Enterprise AI Agents?

                                                                • A. Call the Responses API directly or deploy a hosted agent application.
                                                                • B. Build a frontend agent or a backend agent.
                                                                • C. Select a free or paid deployment model.
                                                                • D. Deploy using Python-only or Java-only options.
                                                                Answer: A

                                                                Explanation: Only visible for Easy4Engine members. You can sign-up / login (it's free).

                                                                Question #4

                                                                What is long-term memory in OCI Enterprise AI Agents?

                                                                • A. Durable memory shared across conversations.
                                                                • B. A static training dataset.
                                                                • C. The model's pretraining corpus.
                                                                • D. Persistent container block storage.
                                                                Answer: A

                                                                Explanation: Only visible for Easy4Engine members. You can sign-up / login (it's free).

                                                                Question #5

                                                                Which four behaviors does every Select AI Agent perform?

                                                                • A. Retrieve, Rank, Generate, and Validate
                                                                • B. Plan, Use tools, Reflect, and Remember
                                                                • C. Plan, Use tools, Summarize, and Terminate
                                                                • D. Plan, Execute, Monitor, and Scale
                                                                Answer: B

                                                                Explanation: Only visible for Easy4Engine members. You can sign-up / login (it's free).

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