Google BigQuery Certification Guide

Primary Certification

Google Cloud Professional Data Engineer

Format: 50-60 MCQ | 2 hours | 70%+ | $200 USD (exact question count, time limit, pass threshold, and price fluctuate across Google's exam updates and regions — verify against the current official exam guide before relying on these numbers)

Related Certifications

•Google Associate Cloud Engineer

•dbt Analytics Engineer

Key Exam Topics

•BigQuery architecture: serverless, columnar storage (Dremel), separate compute+storage

•Partitioning: PARTITION BY DATE — prune partitions to scan less data (cost!)

•Clustering: organize data within partitions by column values (filter/group performance)

•Slots: units of compute; on-demand (auto-scale) vs reservations (flat-rate, predictable)

•BigQuery ML: train ML models in SQL without moving data to separate service

•Authorized views: share query results without sharing underlying table

•Streaming inserts vs batch load: streaming is near-instant but billed per volume ingested (exact current streaming-insert pricing needs verification against official docs); batch loading is free

Must-Know CLI Commands

bash

bq query --use_legacy_sql=false --dry_run "SELECT * FROM mydataset.mytable WHERE DATE(ts) = CURRENT_DATE()"
bq load --source_format=NEWLINE_DELIMITED_JSON --autodetect mydataset.mytable gs://bucket/*.json
bq mk --table --time_partitioning_field=created_at --clustering_fields=region,service mydataset.events schema.json
bq extract --destination_format=CSV mydataset.mytable gs://bucket/export-*.csv
bq show --format=prettyjson mydataset.mytable

Exam Tips

•Cost = data scanned: always SELECT needed columns, always filter on partition column

•Clustering is free but reduces scan if filtering/grouping on cluster columns

•INFORMATION_SCHEMA: query metadata about jobs, tables, partitions, reservations

•BigQuery Omni: query AWS S3 / Azure Blob without copying data to GCP

Study Plan

Week 1-2: Read official docs + overview/fundamentals sections in this platform

Week 3-4: Hands-on labs (AWS free tier / Azure sandbox / GCP free tier)

Week 5: Practice exams (TutorialsDojo, ExamTopics, Whizlabs)

Final days: Review weak areas + cheatsheet

Free Study Resources

•AWS: aws.amazon.com/training — free digital courses

•Azure: learn.microsoft.com — Microsoft Learn (free + sandbox labs)

•GCP: cloud.google.com/training — free courses + Qwiklabs credits

•TutorialsDojo: cheat sheets for all exams (best value paid resource)

Revision Notes

PRIMARY EXAM: Google Cloud Professional Data Engineer

TOP TOPICS:
  BigQuery architecture: serverless, columnar storage (Dremel), separate compute+storage
  Partitioning: PARTITION BY DATE — prune partitions to scan less data (cost!)
  Clustering: organize data within partitions by column values (filter/group performance)
  Slots: units of compute; on-demand (auto-scale) vs reservations (flat-rate, predictable)

BigQuery — Certification