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1Z0-1195-25 Cheatsheet — Ingestion, Lakes/Warehouses, Governance & Analytics

Last-mile 1Z0-1195-25 review: data platform layers, ingestion pickers (batch/streaming/CDC), processing/ETL rules, catalog/governance checklists, and cost/ops cues.

Use this for last‑mile review. Pair it with the Syllabus.


1) Data platform in one picture (sources → ingestion → curated → analytics)

    flowchart LR
	  SRC["Sources"] --> ING["Ingest (batch/stream/CDC)"]
	  ING --> RAW["Raw storage"]
	  RAW --> PROC["Process/ETL"]
	  PROC --> CUR["Curated/serving"]
	  CUR --> BI["SQL/BI/Apps"]

2) Ingestion pickers (high-yield)

RequirementPreferWhy
Nightly loadsBatchsimplest and cheapest
Near real-time eventsStreaminglow latency
Track row-level changesCDCincremental correctness

3) ETL/ELT and quality rules

  • Validate early (schema, nulls, ranges) and quarantine bad data.
  • Make pipelines idempotent (safe re-runs).
  • Track lineage: what job produced what dataset and when (concept-level).

4) Governance checklist

  • Ownership + access control (least privilege).
  • Retention/deletion policies.
  • Catalog/metadata for discoverability.
  • Cost guardrails (budgets, tags, quotas).