Unlock the power of your data in the cloud! Get hands-on with Google Cloud's core data services like BigQuery and Looker to validate your practical skills in data ingestion, analysis, and management, and earn your Associate Data Practitioner certification!
Prepare and test your skills
Prepare and test your skills
Worked example. The correct answer is already marked and every option is explained below, so there is nothing to select here. To answer questions yourself, start the free trial.
A digital marketing agency collects massive daily volumes of unstructured and semi-structured campaign data from various external platforms. The team wants to ingest all raw data into Google Cloud as quickly as possible without creating preprocessing bottlenecks, preserving the raw logs so they can transform them on demand using SQL-based tools like Dataform.
Which data integration strategy should the agency implement?
A traditional ETL (Extract, Transform, Load) pattern that cleanses and structures all raw data on an intermediate server prior to ingestion
A transactional replication pattern that continuously ingests and stores raw unstructured logs directly into Cloud SQL
An ELT (Extract, Load, Transform) pattern that loads raw data directly into BigQuery and applies in-warehouse transformations
A reverse ETL pattern that exports curated metrics from analytical tables back into operational SaaS systems
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