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Google Professional-Data-Engineer日本語 Exam Overview:
| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Certified Professional Data Engineer Exam |
| Exam Number: | Professional Data Engineer |
| Exam Duration: | 120 minutes |
| Exam Price: | $200 USD |
| Exam Format: | multiple select, case study, multiple choice |
| Related Certifications: | Google Cloud Certified - Professional Data Analytics Engineer Google Cloud Certified - Professional Cloud Architect Google Cloud Certified - Associate Cloud Engineer Google Cloud Certified - Professional Machine Learning Engineer |
| Available Languages: | Spanish, English, French, German, Japanese, Portuguese |
| Passing Score: | Not publicly disclosed (scaled scoring system) |
| Real Exam Qty: | Approximately 50–60 multiple choice and multiple select questions |
| Certificate Validity Period: | 2 years |
| Recommended Training: | Google Cloud Professional Data Engineer Course (Coursera) Google Cloud Data Engineering Learning Path |
| Exam Registration: | Google Cloud Certification Registration |
| Sample Questions: |  |
| Exam Way: | Online proctored exam or onsite test center (Kryterion Webassessor) |
| Pre Condition: | No formal prerequisites required; recommended experience with data processing and Google Cloud Platform services |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/data-engineer |
Google Professional-Data-Engineer日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Operationalizing machine learning models | 26% | - Model deployment and monitoring
|
| Topic 2: Ensuring solution quality | 28% | - Reliability and performance
|
| Topic 3: Building and operationalizing data processing systems | 24% | - Data ingestion and integration
|
| Topic 4: Designing data processing systems | 22% | - Batch and streaming data processing design
|
Common Questions About the Google Professional-Data-Engineer日本語 Exam
What is the Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版) exam all about?
The Professional-Data-Engineer日本語 exam is the official Google Cloud exam behind the Google Cloud Certified - Professional Data Engineer certification, validating the skills measured by the Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版) credential. It sits at the Professional level of the Google Cloud certification program. It also connects to Google Cloud Certified - Associate Cloud Engineer, Google Cloud Certified - Professional Cloud Architect, Google Cloud Certified - Professional Machine Learning Engineer, Google Cloud Certified - Professional Data Analytics Engineer, so the knowledge you build here carries over to those tracks as well.
How many questions are on the Professional-Data-Engineer日本語 exam, and how much time do I get?
The Professional-Data-Engineer日本語 exam contains Approximately 50–60 multiple choice and multiple select questions questions to be completed within 120 minutes. Before exam day, divide the available time by the question count to work out a comfortable per-question pace, and mark any item that eats into it so you can return later instead of getting stuck. Timed sessions in the Getcertkey test engines make that pacing automatic — run at least two full-length mock exams under the clock so time pressure never becomes the reason you drop points.
What score do I need to pass the Professional-Data-Engineer日本語 exam, and what does it cost?
The passing score for the Professional-Data-Engineer日本語 exam is Not publicly disclosed (scaled scoring system), and the official registration fee is $200 USD. Retakes are not discounted — every new attempt means paying the full fee again — so it pays to measure yourself before you book. Work through the 433 practice questions on Getcertkey, sit a timed practice test, and schedule your exam only when your scores are consistently comfortable. That simple habit is the cheapest exam strategy there is.
Are there any prerequisites for the Professional-Data-Engineer日本語 exam?
No formal prerequisites required; recommended experience with data processing and Google Cloud Platform services Requirements can change when Google Cloud revises its certification program, so confirm the current eligibility rules on the official exam page before you register.
How do I register for the Professional-Data-Engineer日本語 exam?
You can book the Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版) exam through the official registration channels below:
As for delivery, the exam is offered in the following format: Online proctored exam or onsite test center (Kryterion Webassessor). Choose the option that suits you best when you book your seat.
What official training is recommended for the Professional-Data-Engineer日本語 exam?
Google Cloud recommends the following training resources for the Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版) exam:
- Google Cloud Data Engineering Learning Path
- Google Cloud Professional Data Engineer Course (Coursera)
Official courses build the foundation; the 433 practice questions from Getcertkey then show you how that knowledge is examined, so the two work best together.
Can I try the Professional-Data-Engineer日本語 practice questions before I buy?
Yes. Getcertkey provides a free Professional-Data-Engineer日本語 PDF demo so you can review the question style and answer quality before purchasing. Every purchase also includes 365 days of free updates — if Google revises the exam during that period, the updated material reaches you at no cost. Once the free-update year ends, you can extend your update service at a 50% discount.
What if I fail the Professional-Data-Engineer日本語 exam, and how is my order delivered?
Every Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版) purchase on Getcertkey is covered by a 100% money-back guarantee with clear conditions: if you take the corresponding exam within 60 days of your purchase and do not pass, you can claim a full refund by submitting a scanned copy of your exam enrollment slip and your official score report as a PDF within two days of the exam date; claims are processed within seven days of submission. The guarantee does not apply to exams taken within three days of purchase, to material that was downloaded but never used in an exam attempt, or to free products and expired orders, and the candidate name must match the payer name. If you would rather not take a refund, you can instead exchange your purchase for two free exam preparation products of equal value and keep the update service on your original product.
Delivery is instant: your download is sent to your email within one minute of payment, with no limit on how many computers you may install the material on. If nothing arrives within two hours, check your spam folder and contact customer service for help.
What topics are covered in the Professional-Data-Engineer日本語 exam?
The Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版) exam blueprint is organized into 4 domains. The first three are:
- Operationalizing machine learning models — 26% of the exam
- Building and operationalizing data processing systems — 24% of the exam
- Designing data processing systems — 22% of the exam
For the complete domain-by-domain breakdown, scroll up to the full exam topics outline above and use it to plan how you distribute your study time.
Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版) Sample Questions:
Question 1
Cloud Machine Learning Engine の CUSTOM 層では、どのタイプのクラスタ ノードの数を指定できますか?
A. マスター、ワーカー、パラメータサーバー
B. 労働者
C. ワーカーとパラメータサーバー
D. パラメータサーバー
Question 2
Dataflow はバッチ データ パイプラインまたはストリーミング データ パイプラインを処理しますか?
A. ストリーミングデータパイプラインのみ
B. バッチデータパイプラインのみ
C. バッチデータパイプラインとストリーミングデータパイプラインの両方
D. 上記のいずれでもない
Question 3
AI モデルに広告データを提供するには広告データが必要で、分析には履歴データが必要です。ロングテールと外れ値のデータ ポイントを識別する必要があります。AI モデルを実行する前に、ほぼリアルタイムでデータをクレンジングする必要があります。どうすればよいですか?
A. Cloud Composer を使用してロングテールと外れ値のデータポイントを識別し、使用可能なデータセットを BigQuery に出力します。
B. BigQuery を使用してデータを取り込み、準備し、分析し、クエリを実行してビューを作成します。
C. Cloud Storage をデータ ウェアハウス シェル スクリプトとして使用して処理し、BigQuery を使用して目的のデータセットのビューを作成します。
D. Dataflow を使用して、BigQuery をシンクとしてプログラムでロングテールおよびアウトバーのデータ ポイントを識別します。
Question 4
組織全体のデータセットを準備しています。クラウドストレージの制限付きバケットに保存されている顧客データを前処理する必要があります。このデータは、消費者分析を作成するために使用されます。機密性の高いデータ要素を保護するなど、データプライバシー要件に従う必要がありますが、将来の使用例に備えてすべてのデータを保持する必要があります。どうすればよいですか？
A. Cloud Data Loss Prevention APIとDataflowを使用して、Cloud Storage内のデータから機密性の高いフィールドを検出して削除します。フィルタリングされたデータをBigQueryに書き込みます。
B. DataflowとCloud Data Loss Prevention APIを使用して機密データをマスキングします。処理済みのデータをBigQueryに書き込みます。
C. 顧客管理暗号化キー(CMEK)を使用して、クラウドストレージ内のデータを直接暗号化します。
BigQueryのフェデレーションクエリを使用してください。最小権限の原則に従って暗号化キーを共有してください。
D. DataflowとCloud KMSを使用して機密性の高いフィールドを暗号化し、暗号化されたデータをBigQueryに書き込みます。最小権限の原則に従って暗号化キーを共有します。
Question 5
デフォルトでは、Dataflow は次のウィンドウ動作のどれを無制限のデータ セットに適用しますか?
A. 1分ごとにウィンドウ
B. 単一、グローバルウィンドウ
C. Windows 100 MB のデータごとに
D. 10分ごとにウィンドウ
Solutions:
| Question 1 Answer: C | Question 2 Answer: C | Question 3 Answer: D | Question 4 Answer: B | Question 5 Answer: B |
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