CertLabProGoogle Cloud Professional Data Engineer
225問の練習問題
最終確認：April 2026
学習のための個人ノートとリソースリンク
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The Google Cloud Professional Data Engineer (PDE) validates the ability to design, build, secure, and operationalize data-processing systems on Google Cloud. The exam is one of the more popular GCP Professional credentials and consistently ranks among the highest-paying single data certifications in the market. Expect deep coverage of BigQuery (partitioning, clustering, materialized views, BI Engine, BigLake, Omni), Dataflow (Apache Beam batch and streaming, windowing, watermarks), Pub/Sub, Dataproc, Cloud Composer (managed Airflow), Dataform, Dataplex, Datastream, and Vertex AI integration for ML pipelines. Question style is scenario-heavy and rewards candidates who think in terms of cost, latency, freshness, and schema-evolution tradeoffs simultaneously.
Source-system analysis, data-warehouse vs. data-lake vs. lakehouse design, schema modeling for BigQuery (denormalized, nested, ARRAY/STRUCT), choosing the right storage (BigQuery vs. Bigtable vs. Spanner vs. Firestore vs. Cloud SQL). 22%.
Largest domain at 25%. Pub/Sub patterns, Dataflow batch and streaming with Apache Beam (windowing, triggers, watermarks, exactly-once semantics), Dataproc Spark jobs, Datastream CDC, Storage Transfer Service.
BigQuery partitioning and clustering, materialized views, BI Engine, BigLake external tables, table-level snapshots and time travel, Bigtable schema design, Cloud Storage class transitions. 20%.
BigQuery SQL (window functions, ARRAY/STRUCT manipulation, search indexes), BigQuery ML, Looker semantic model basics, federated queries to Cloud SQL / Spanner / Cloud Storage, Vertex AI integration. 15%.
Cloud Composer DAGs, Dataform workflows, BigQuery scheduled queries, slot reservations and on-demand pricing, monitoring with Cloud Monitoring, IAM at dataset / table / column / row level. 18%.
$140k–$195k–$290k USD annual
Range reflects US-based senior data engineers where GCP is the primary platform. FAANG L5 data engineer TC clears $300k. PDE is consistently cited as one of the highest-paying single data certifications by job-posting salary band; combined with strong Apache Beam / Dataflow experience it commands a premium at GCP shops. Pure analyst-engineer roles trend lower.
Source: levels.fyi 2025–2026 (Google L4–L5 data engineers, FAANG and unicorn senior data engineers), U.S. BLS OEWS May 2024 (15-2051 data scientists, 15-1252 software developers). Figures are approximate; actual compensation depends on role, region, and experience.
PDE is the most-requested GCP data credential and one of the strongest signals for senior data-engineer roles at GCP-heavy companies. Heavy demand at digital-native GCP shops (Spotify, Snap, PayPal, Wayfair, several major retailers and ad-tech companies), BigQuery-centric analytics organizations, and Google Cloud partners with data practices. The cert is also valued at Google itself for customer-engineering data specialists. PDE pairs naturally with the Professional ML Engineer (PMLE) for an end-to-end "data + ML" profile, and with Cloud Architect (PCA) for a broader senior-engineering profile. Holders consistently report strong recruiter response.
There are no formal prerequisites. Google recommends three or more years of industry experience including one or more years designing and managing solutions on Google Cloud. In practice, PDE is not a credible first GCP cert for someone new to data — successful candidates have shipped non-trivial pipelines and have working SQL, Python, and at least conceptual familiarity with Apache Beam.
The Associate Cloud Engineer (ACE) is a common stepping stone but the Associate Data Practitioner (ADP) is a more direct on-ramp for the data-specific content. Strong SQL fluency (window functions, CTEs, ARRAY/STRUCT manipulation), comfort with at least one programming language for Beam pipelines (Python or Java), and familiarity with streaming concepts (windowing, watermarks, exactly-once delivery) are effectively required. The official Data Engineer Learning Path on Google Cloud Skills Boost (around 50–80 hours of labs) is a good baseline.
PDE is rated professional and is consistently hard — many candidates rate it the second-hardest GCP cert after PCA / PCNE, primarily because of the streaming and Dataflow / Apache Beam content. Plan on 100–150 hours of study over 10–14 weeks if PDE is your first GCP professional cert, or 50–80 hours over 5–8 weeks if you already hold ACE / ADP plus production data-engineering experience. The exam is 50–60 multiple-choice / multiple-select questions in 120 minutes, delivered through Pearson VUE (Google migrated from Kryterion / Webassessor in early 2026 — no exams Feb 23 through Mar 1 2026; first Pearson delivery March 2 2026).
The most common stumbling block is Dataflow streaming — windowing strategies (fixed, sliding, session), watermarks, late data, and exactly-once semantics account for a disproportionate share of failed attempts. The second stumbling block is choosing between BigQuery, Bigtable, Spanner, and Cloud SQL for storage scenarios where multiple options are technically viable. Google does not publish numeric scores — only pass/fail. The credential is valid for two years and recertification requires re-passing the current exam.
Current exam guide refreshed in early 2023 to add BigLake, BigQuery Omni, Dataform, Dataplex, and Datastream coverage. Expanded ML-pipeline integration with Vertex AI.
Major refresh that re-balanced the storage and processing domains and added Pub/Sub Lite and Dataflow Prime coverage.
Original general availability — one of the first three Google Cloud Professional credentials.
PDE (Google Cloud Professional Data Engineer) is a a challenging, scenario-heavy exam that requires deep hands-on experience and the ability to make architectural trade-off decisions Professional-level exam. Most candidates need 150–300 hours of study spread over 3–6 months for professional and expert-level exams. These exams typically expect prior associate-level proficiency. Most candidates who score consistently above the passing threshold on practice exams pass on their first attempt.