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Google Professional Data Engineer

PDE

Data pipelines, processing, and analysis with Google Cloud services.

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Exam questions

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Time limit

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Passing score

Professional

Level

Exam Instructions

  • •Each question can have one or multiple correct answers. Multi-answer questions will indicate this clearly.
  • •In exam mode, you have X minutes to complete all questions. The timer starts automatically.
  • •In practice mode, there is no time limit and you can view the explanation for each answer.
  • •In marathon mode, all questions in the bank are used, with no time limit and explanations for every question.
  • •You can flag questions for review and navigate freely between them.

Exam topics & domains

  • Designing data processing systems (Dataflow, Pub/Sub)
  • Ingesting & processing data at scale
  • Storage engineering (BigQuery, Bigtable, Spanner)
  • Preparing & using data for analysis & ML
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BigQuery Performance & Cost Optimization

BigQuery: Partitioning vs. Clustering

Understand the vital architectural difference between partition segment pruning and clustered columnar sorting.

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Exam Golden Rule:

Partition by date or ingestion time to prune segments and drastically reduce query cost. Cluster by high-cardinality query columns (like customer_id or status) to accelerate sorts and filters. Google recommends combining both!

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