Recognize common integration problems, use cases, and technical solutions17% of the exam
Migration, broadcast, sync, correlation and aggregation use cases
MuleSoft's five data integration patterns (migration, broadcast, bi-directional sync, correlation and aggregation), the questions that identify each one, and how to break a business problem into several of them.
Given a complex business problem, identify the fundamental integration use cases that can deliver an end-to-end business solution.
~6 min read · 6 practice questions ·
What the exam expects
- Identify migration, broadcast, bi-directional sync, correlation and aggregation from a business requirement.
- Apply MuleSoft's three broadcast questions to choose between migration, broadcast and bi-directional sync.
- Distinguish bi-directional sync (union of the datasets) from correlation (intersection).
- Explain why aggregation avoids a separate replicated reporting database.
- Decompose one end-to-end business problem into the several patterns it needs.
Key terms:
- Migration: moving a scoped dataset from a source system into a destination system.
- Broadcast: one-way sync from one to many, moving only recently changed items in near real time.
- Bi-directional sync: combining two datasets so they behave as one while remaining separate datasets.
- Correlation: bi-directional sync of only the items that occur in both systems.
- Aggregation: taking or receiving data from multiple systems and combining it into one.
Key facts
Number of data patterns
- Detail
- Five: migration, broadcast, bi-directional sync, correlation, aggregation
Migration tuning
- Detail
- Large volumes, many records in parallel, graceful failure
Broadcast scope
- Detail
- Only items changed since the last run
Broadcast frequency rule
- Detail
- More often than roughly every hour tends to be broadcast
Two broadcasts vs one sync
- Detail
- MuleSoft recommends two broadcast applications
Sync vs correlation
- Detail
- Union vs intersection of the scoped dataset
Aggregation benefit
- Detail
- Data current when needed and not replicated
Sources for this section (1)
- Why is broadcast described as a sliding window?
- When does the second broadcast question rule an application out?
- Does correlation care how a shared record got into each system?
- Which routing model does MuleSoft suggest for bi-directional sync across many systems?
The questions are free to read. Answers with their sources and self-grading are included with the pack.
Keep reading with the MuleSoft Integration Foundations pack
- Core concepts
- Exam traps
- Worked scenario
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- All 37 lessons of the MuleSoft Integration Foundations guide, with reading progress
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