Informatica MDM SaaS Foundation study plan

Map the MDM SaaS architecture end to end: describe how the business 360 application, the data model layer, the match and merge engine, and the user interface components fit together, writing a one-page diagram from memory without consulting notes

Define the core MDM concepts in your own words, covering business entities, records, cross-reference (XREF) records, source systems, trust scores, and survivorship, and check each definition against official product documentation

Identify the main 360 application types available in the platform and state for each one the business problem it solves and the typical industry use case

Configure a sandbox tenant: create a business entity, add at least three fields of different data types, and confirm the entity publishes and appears in the user interface

Distinguish the data model design options (base object versus custom object, field-level versus relationship-level settings) and choose the correct option for three hypothetical business scenarios

Build a data model with at least two related business entities, including a lookup relationship, and document why each relationship cardinality was chosen

Explain how the platform handles hierarchies and reference data, and demonstrate creating one hierarchy in the sandbox

List the validation, required-field, and format rules available on a field and apply at least four of them to your sandbox model

Describe the full data ingestion path from source system to master record, naming each stage and what can fail at each stage

Configure at least two different ingestion methods (for example a file-based load and an API-based load) and record the differences in behavior and error handling

Explain the role of staging tables, batch groups, and reject handling, and reproduce one deliberate load failure to observe how rejected records are surfaced

Set up a scheduled job or batch process and verify it runs on the expected cadence

Explain the match process step by step: standardization, parsing, matching, and the role of match rules and match columns

Configure exact and fuzzy match rules on your sandbox entity and tune the fuzzy thresholds against a small test data set

Describe how the consolidation and trust framework determines survivorship, including trust score sources and precedence rules

Compare the available merge styles (such as automatic merge versus review-based merge) and justify which one fits a given business requirement

Walk through the data steward workflow: how a potential match or data quality exception reaches a steward, what actions are available, and how the decision is recorded

Create a task or workflow that routes an exception to a queue and complete the review as a steward in the sandbox

Explain how data quality rules and scorecards are configured and how a scorecard result can trigger remediation

Document how audit history and record versioning work so that a change can be traced back to its source and reviewer

Configure user roles, privileges, and record-level access so that two different personas see different data, and verify the restriction actually holds

Explain how the platform integrates with external systems for both inbound and outbound data, including the role of APIs and message-based publishing

Build one outbound integration or export that sends master data changes to an external endpoint or file

Identify the monitoring and operational tooling available for jobs, errors, and system health, and set up at least one alert or check

Review the entire 360 application feature set and list the capabilities you have not yet touched, then close the two most exam-relevant gaps with hands-on practice

Explain the difference between configuration done in the user interface and behavior that requires deeper customization, and give examples of each

Rehearse explaining the end-to-end lifecycle of a master record from ingestion to stewardship to consumption, out loud, in under five minutes

Complete a timed practice set covering the domain and log every missed question with the underlying concept

Re-take the full timed practice set and compare the score against week 7, focusing on repeat misses

Build a one-page cheat sheet of the concepts you repeatedly confuse, using your own wording only

Simulate exam conditions with a full-length timed run and review pacing and flagging strategy

Confirm logistics: exam registration, identification requirements, testing environment, and any allowed reference material