GCP · objective · 17% of the exam
Exploring data transformation with Google Cloud
Exam objectives are the official skill domains Cloud Digital Leader tests. Below are the official GCP docs our questions on this objective cite — review them, then practise.
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Official references for this objective
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Google Cloud — Managed Service for Apache Spark (formerly Dataproc) | Google Cloud
Serverless Spark jobs as a service. Managed Spark, managed infrastructure. New pipelines, interactive analysis, and spiky workloads where a zero-ops, pay-per-job model is preferred. Job
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Google Cloud — Dataflow: streaming analytics | Google Cloud
Dataflow templates are pre-designed blueprints for stream and batch processing and are optimized for efficient CDC and BigQuery data integration.
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Google Cloud — Workflows | Google Cloud
Connectors provide blocking steps for many Google Cloud services with long-running operations. Simply write your steps and know each is complete before the next runs.
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Google Cloud — BigQuery | AI data platform | EDW
Built-in streaming capabilities like SQL-based continuous queries automatically ingest streaming data and make it immediately available to query.
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Google Cloud — Cloud Data Fusion | Google Cloud
Visual point-and-click interface enabling code-free deployment of ETL/ELT data pipelines Broad library of 150+ preconfigured connectors and transformations
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Google Cloud — Managed Service for Apache Airflow | Apache Airflow 3
Key enhancements include DAG versioning for auditability and confident rollbacks, alongside scheduler-managed backfills for simpler historical data reprocessing.