Oracle Identity Governance 12c: Develop Identity Provisioning Ed 1 — Lesson 4: Requests, Approvals, Deployment, Diagnostics, Performance, and Operations

Technical Scope

• catalog and request models, approval policies, fulfillment, and status tracking
• sandbox, export, import, metadata promotion, versioning, and rollback
• logs, diagnostic levels, job history, provisioning errors, and performance
• security review, release validation, support runbook, and operational ownership

Instructor Demonstration

Demonstrate catalog and request models, approval policies, fulfillment, and status tracking within an identity engineering team onboarding a business application for automated joiner-mover-leaver provisioning, reconciliation, approvals, exception handling, and auditable deployment, then capture the exact configuration, command, transaction, report, trace, or code evidence that proves the expected result.

Applied Workshop

Implement a controlled workshop covering sandbox, export, import, metadata promotion, versioning, and rollback and logs, diagnostic levels, job history, provisioning errors, and performance, then test a failure, exception, or business-control scenario involving security review, release validation, support runbook, and operational ownership.

1. Confirm the environment, identities, data, dependencies, controls, and expected result.
2. Complete the product-specific configuration, development, analysis, or business-process task.
3. Capture commands, configuration, output, logs, transactions, reports, or test evidence.
4. Explain the operational, security, performance, data-quality, or business trade-off.

Validation Standard

The Requests, Approvals, Deployment, Diagnostics, Performance, and Operations result must be reproducible, traceable to approved inputs, and consistent with expected Oracle product or business-process behavior.

• The intended target, scope, and ownership are verified.
• The result is supported by reproducible evidence and expected-value checks.
• Security, performance, reliability, data quality, and support impact are reviewed.
• Unexpected behavior is investigated before acceptance or release.

Failure Analysis

Diagnose issues in catalog and request models, approval policies, fulfillment, and status tracking, sandbox, export, import, metadata promotion, versioning, and rollback, logs, diagnostic levels, job history, provisioning errors, and performance, or security review, release validation, support runbook, and operational ownership without making an unverified production change.

Learners isolate the smallest proven cause, apply a reversible correction, rerun validation, and record the preventive action.

Practical Outcome

Complete a validated implementation or analysis for Requests, Approvals, Deployment, Diagnostics, Performance, and Operations and defend the result with documented evidence.