What You'll Learn

  • Distinguish LLM sampling
  • grounding
  • retrieval
  • customization
  • and reliable evaluation decisions.,Select OCI model-serving
  • endpoint
  • regional routing
  • and lifecycle designs for stated requirements.,Diagnose Responses API state
  • tool execution
  • memory scope
  • and temporary workspace behavior.,Evaluate agent deployment
  • IAM
  • guardrails
  • network access
  • observability
  • and cost assumptions.

Requirements

  • Basic OCI knowledge
  • familiarity with APIs and access control
  • and introductory understanding of LLM applications.

Description

Build practical reasoning for Oracle Cloud Infrastructure Enterprise AI with 120 original questions from Cloudpuz Academy. The course contains two distinct tests of 60 questions. Every question includes four options, one best answer, explanations for all four options, and a relevant primary-source reference. Questions focus on decisions, troubleshooting, and the boundaries between platform features rather than memorizing isolated product names.

The LLM and retrieval scenarios examine sampling, token budgets, few-shot prompting, customization, grounding, evaluation leakage, semantic retrieval, and reranking. Model-serving scenarios cover on-demand and dedicated access, imported models, hosting endpoints, regional support, routing profiles, capacity planning, lifecycle changes, and cost assumptions.

Agent-development questions explore OCI Responses API state, background execution, streaming recovery, structured output validation, context compaction, and file inputs. Tool scenarios distinguish application-executed functions from remote MCP integration and managed computation. You will reason about argument contracts, result correlation, authorization, uncertain side effects, ingestion readiness, and the separation between retrieval stores and temporary computation files.

Projects, memory, and workspace scenarios address resource isolation, retention, memory-subject scope, recall and storage policies, sandbox readiness, snapshots, warm pools, and durable results. Deployment and governance questions cover application releases, container images, scaling constraints, inbound and outbound networking, IAM, credentials, guardrail behavior, prompt injection, observability, and supporting-service costs.

Both tests include all six study areas with different scenarios. Each test allows 110 minutes and uses a 70% practice target. These are learning settings chosen for this course, not a representation of the official examination duration or passing score. Attempt each test before reading the explanations. For uncertain decisions, compare the alternatives against the stated requirement and follow the source reference to deepen your understanding. Practical experimentation in your own appropriately configured environment is useful additional preparation.

This independent course follows the current Enterprise AI direction associated with 1Z0-1158-26, succeeding the earlier OCI Generative AI Professional track. Coverage and question allocation are author-selected, with no claim of official exam weighting or exhaustive blueprint equivalence. It contains no actual, recalled, or leaked examination questions. Oracle does not sponsor or endorse the material, and a certification result is not guaranteed. This product contains practice tests rather than video lessons or an included cloud lab.

Who this course is for:

  • Developers and cloud practitioners studying OCI Enterprise AI Professional topics who want explained scenario practice.
OCI Enterprise AI 1Z0-1158-26: 120 Practice Questions

Course Includes:

  • Price: FREE
  • Enrolled: 0 students
  • Language: English
  • Certificate: Yes
  • Difficulty: Beginner
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