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Assembling a data platform out of Google Cloud's storage and catalog tools

Building a data platform on Google Cloud means matching storage and processing services to workload requirements: BigQuery for structured analytics at scale, Cloud Storage for raw/unstructured data and data lakes, and Dataplex to unify governance, discovery, and quality across distributed data. The exam expects you to select and configure the right combination of tools based on data structure, access patterns, latency, cost, and governance needs.

Must-know

  • Cloud Storage is the default landing zone for raw, semi-structured, or unstructured data and supports storage classes (Standard, Nearline, Coldline, Archive) to optimize cost based on access frequency.
  • BigQuery is the primary choice for structured/semi-structured analytical data requiring SQL access, native partitioning/clustering, and separation of storage and compute for scalable querying.
  • Dataplex provides a unified governance layer over data lakes (Cloud Storage) and warehouses (BigQuery) by organizing assets into lakes, zones, and assets without moving or copying the underlying data.
  • Dataplex Catalog automatically harvests technical metadata from BigQuery, Cloud Storage, and other sources, and lets you enrich it with business metadata (tags, aspects) for discovery and lineage.
  • A common exam pattern is a lakehouse architecture: land raw data in Cloud Storage, curate/query it via BigQuery (including BigLake tables for querying Cloud Storage data with BigQuery semantics), and govern both through Dataplex.
  • Choosing the wrong storage tier or skipping governance setup (e.g., no Dataplex zones/catalog) is a common exam trap, requirements around data quality, access control, and discoverability should drive tool selection, not just storage cost.

Coverage checked against the published exam guide on Aug 11, 2026.

These are independent practice questions, written against this certification's published exam guide. They are not the certification vendor's own questions, and not the real exam.