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Deliverables

The curriculum covers what an architect should know. This covers what an architect actually hands over: 55 artifacts, each with a worked example, a note on when it is worth producing, who reads it, and the ways it usually goes wrong. Filter by the artifact's type, the kind of engagement that calls for it, the stack or industry it is drawn against, or the audience it is written for.

Identify the deliverable → 42 diagrams, shown one at a time with the answer withheld. Nothing to submit.

Type Any Structural View8 Behavioural View7 Data View7 Deployment & Infrastructure View7 Security View7 Governance Artifact8 Planning Artifact5 Analysis Artifact6
Use case Any Greenfield Build29 Legacy Migration19 Cloud Landing Zone13 Data Platform Build10 AI / ML Platform2 Integration Programme13 Security Uplift12 Cost Optimisation12 Merger & Acquisition Integration14 Regulatory Remediation11 Resilience Programme9 Vendor Selection10
Technology Any Cloud-Agnostic55 Azure2 AWS2 Kubernetes4 Kafka2 Databricks1 Hybrid3
Domain Any Cross-Industry55 Retail & E-Commerce3 Banking & Payments12 Healthcare & Pharma8 Insurance1
Audience Any CxO25 Architecture Review Board38 Engineering36 Operations & SRE22 Security12 Finance9 Regulator & Audit8

5 of 55 deliverables shown. 

flowchart LR
  cust(["Customer"])
  app["Registration<br/><i>process</i>"]
  kyc["KYC Provider<br/><i>external · EU</i>"]
  core["Core Platform<br/><i>process</i>"]
  crm[("CRM store<br/><i>EU region</i>")]
  dwh[("Analytics store<br/><i>EU region</i>")]
  mkt["Marketing SaaS<br/><i>external · US</i>"]

  cust -->|"name, DoB, address, ID image"| app
  app -->|"name, DoB, ID image"| kyc
  kyc -->|"pass/fail, risk score"| app
  app -->|"full profile"| core --> crm
  crm -->|"pseudonymised profile, nightly"| dwh
  crm -->|"email, consent flag, on change"| mkt
Data View

Data Flow Diagram

What data moves where, in what form, and how often — the view a privacy or residency question is actually answered from.
Data-Flow Diagrams Design 
flowchart LR
  s1[("core_banking.accounts<br/><i>source</i>")]
  s2[("payments.transactions<br/><i>source</i>")]
  s3[("crm.customer<br/><i>source</i>")]

  j1{{"job: cdc_ingest<br/><i>hourly</i>"}}
  j2{{"job: conform_party<br/><i>daily 02:00</i>"}}
  j3{{"job: build_balances<br/><i>daily 03:15</i>"}}
  j4{{"job: reg_extract<br/><i>monthly</i>"}}

  r1[("raw.accounts")]
  r2[("raw.transactions")]
  c1[("clean.party")]
  c2[("clean.balance_daily")]
  o1[("report.capital_adequacy")]
  o2["Dashboard:<br/>Treasury Daily"]

  s1 --> j1 --> r1
  s2 --> j1 --> r2
  s3 --> j2
  r1 --> j2 --> c1
  r1 --> j3
  r2 --> j3 --> c2
  c1 --> j3
  c2 --> j4 --> o1
  c2 --> o2
Data View

Data Lineage Graph

Which dataset was derived from which, through what job — the artifact you produce when someone asks where a number came from.
Data Observability Run 
flowchart LR
  user(["Customer<br/><i>untrusted</i>"])
  admin(["Admin<br/><i>privileged</i>"])

  subgraph edge["Boundary 1 — public edge"]
    cdn["CDN / WAF"]
  end

  subgraph app["Boundary 2 — application tier"]
    direction TB
    api["Order API"]
    auth["Auth Service"]
  end

  subgraph datab["Boundary 3 — data tier"]
    direction TB
    db[("Order Store<br/><i>PII + card token</i>")]
    kms[("Key Vault")]
  end

  ext["Payment Provider<br/><i>third party</i>"]

  user -->|"F1 HTTPS"| cdn
  cdn -->|"F2 HTTPS + mTLS"| api
  admin -->|"F3 admin console"| api
  api -->|"F4 token introspection"| auth
  api -->|"F5 TLS + parameterised"| db
  api -->|"F6 fetch DEK"| kms
  api -->|"F7 HTTPS outbound"| ext
  ext -->|"F8 webhook — signed"| cdn
Security View

Threat Model Data Flow Diagram

Processes, stores and flows with trust boundaries drawn across them, so that every boundary crossing can be enumerated for threats.
Threat Modelling Design