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Design Studio730 words

Design Studio — Design data integration

AZ-305 › Unit 2 › Design data integration

Design Studio — Design data integration

This studio turns the topic into an architecture exercise. Produce a recommendation that another engineer could challenge, implement, and validate. There is no credit for a list of Azure products without flows, constraints, failure behaviour, and trade-offs.

Studio brief

Unit
2
Domain
Design data storage solutions
Decision threads
4
Target effort
45–60 minutes

Client brief

Fabrikam is modernising a production workload in this domain: Separate movement, orchestration, transformation, streaming, and business workflow requirements. The workload serves internal teams and external customers, carries regulated data, and must remain supportable by a small platform team. The client has supplied incomplete requirements; part of the exercise is to state assumptions and identify questions that would materially change the recommendation.

The initial requirements are:

  1. The design must address batch movement/orchestration with explicit assumptions and measurable acceptance evidence.
  2. The design must address large transformations with explicit assumptions and measurable acceptance evidence.
  3. The design must address high-throughput event ingestion with explicit assumptions and measurable acceptance evidence.
  4. The design must address business/saas workflow with explicit assumptions and measurable acceptance evidence.
  5. The solution must use Microsoft Entra identities, private connectivity where justified, infrastructure as code, and observable health signals.
  6. The design must state a recovery path, operational owner, cost driver, and one deliberate compromise.

Candidate decision anchors

Requirement threadCandidate starting pointQualification rule
Batch movement/orchestrationData Factory in Microsoft Fabric or Azure Data FactoryUse pipelines, connectors, and an appropriate integration runtime
Large transformationsFabric Spark/dataflows or Azure DatabricksMatch engineering model and operating ownership
High-throughput event ingestionEvent HubsPartition for throughput and consumer independence
Business/SaaS workflowLogic AppsUse connectors, state, approvals, and B2B integration

These are starting points, not an answer key. You may select a different service when a stated assumption or constraint justifies it. Every deviation must identify the requirement it serves and the new operational cost it introduces.

Studio workflow

  1. 1

    Clarify

    Write five questions whose answers could change the architecture. Mark hard constraints separately from preferences.

Required submission

  1. A one-page architecture diagram with a text equivalent.
  2. A decision record containing context, decision, alternatives, consequences, and validation evidence.
  3. A requirement-to-control matrix that maps every hard constraint to a component or operating process.
  4. A failure table covering component, zone, region, identity, network, and operator-error failures where applicable.
  5. Three validation tests: one functional, one reliability/security, and one operational or cost test.

Review traps

  • A connector list is not an integration architecture.
  • Event Hubs is not a work queue.
  • Integration runtime placement controls network reachability.

Do not hide uncertainty

If region support, SKU capability, quota, price, or service retirement affects the answer, cite the current Microsoft Learn page and record the review date. Treat the attached books as teaching context, not the final authority for current limits.

Assessment rubric

Dimension0 — Missing1 — Partial2 — Release quality
RequirementsProducts chosen before constraintsSome constraints mappedHard constraints, assumptions, and change-driving questions are explicit
ArchitectureComponent listMain flow shownIdentity, traffic/data, dependencies, and failure boundaries are coherent
Trade-offsNo alternativeAlternative namedStrongest alternative rejected using a stated requirement
OperabilityMonitoring mentionedSome runbook detailHealth, capacity, deployment, recovery, ownership, and cost evidence defined
CurrencyNo sourcesSecondary/undated sourceCurrent Microsoft primary source linked and reviewed date recorded

Reflection

  • Which requirement eliminated the most attractive alternative?
  • Which assumption creates the greatest residual risk?
  • What would you test in a pilot before approving production deployment?
  • How would the recommendation change if the operations team doubled in size or the recovery objective tightened?

Source and freshness

Grounded in the current AZ-305 skills outline and both attached course sources. Current service contracts must be verified in Microsoft Learn during the studio. Reviewed 2026-08-02.

All Designing Microsoft Azure Infrastructure Solutions (AZ-305) Study Resources

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