Google Professional-Data-Engineer日本語 Valid Dump : Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版)

Professional-Data-Engineer日本語 real exams

Exam Code: Professional-Data-Engineer-JPN

Exam Name: Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版)

Updated: Sep 02, 2026

Q & A: 433 Questions and Answers

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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 Number:Professional-Data-Engineer
Available Languages:English, Japanese
Passing Score:Not officially published (estimated ~80%)
Exam Format:Multiple-select, Multiple-choice
Exam Price:$200 USD
Real Exam Qty:50-60
Exam Duration:120 minutes
Certificate Validity Period:2 years
Related Certifications:Google Cloud Certified Professional Data Engineer
Sample Questions:Free Download Professional-Data-Engineer日本語 valid dump
Exam Way:Online (remote proctored) or at a testing center (Kryterion)
Pre Condition:No mandatory prerequisites. Recommended: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.
Official Syllabus URL:https://cloud.google.com/learn/certification/data-engineer

Google Professional-Data-Engineer日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Preparing and using data for analysis (~15% of the exam)15%- Sharing data securely
  • 1. Publishing datasets
  • 2. Data sharing and collaboration
- Preparing data for visualization
  • 1. Connecting to Looker and other BI tools
  • 2. Preparing data for reporting and dashboards
Topic 2: Storing the data (~20% of the exam)20%- Designing for a data platform
  • 1. Building a data platform using Dataplex, Dataplex Catalog, BigQuery, Cloud Storage
  • 2. Building a federated governance model for distributed data systems
- Using a data lake
  • 1. Monitoring the data lake
  • 2. Processing data
  • 3. Managing the lake (data discovery, access, cost controls)
- Selecting storage systems
  • 1. Analyzing data access patterns
  • 2. Lifecycle management of data
  • 3. Planning for storage costs and performance
- Planning for using a data warehouse
  • 1. Mapping business requirements
  • 2. Designing the data model
  • 3. Defining architecture to support data access patterns
  • 4. Deciding the degree of data normalization
Topic 3: Maintaining and automating data workloads (~15% of the exam)15%- Automating data processes
  • 1. Scheduling jobs
  • 2. Continuous integration and continuous deployment (CI/CD)
  • 3. Workflow orchestration
- Monitoring data pipelines and data processes
  • 1. Managing quotas and resource usage
  • 2. Logging, monitoring, and troubleshooting
- Designing for reliability and fidelity
  • 1. Planning for monitoring and alerting
  • 2. Recovering from failures
  • 3. Performing data quality and validation checks
Topic 4: Designing data processing systems (~30% of the exam)30%- Selecting appropriate storage technologies
  • 1. Choosing between BigQuery, Bigtable, Spanner, Cloud SQL, Cloud Storage, Firestore, Memorystore, AlloyDB
  • 2. Mapping storage options to business requirements
- Designing data processing resources
  • 1. Cluster sizing and autoscaling
  • 2. Compute options (Dataflow, Dataproc, Dataplex, Cloud Functions, Cloud Run)
  • 3. Cost optimization
- Designing data pipelines
  • 1. Processing logic
  • 2. Streaming (e.g., windowing, late arriving data)
  • 3. Data acquisition and import
  • 4. Integrating with new data sources
  • 5. Batch processing
  • 6. AI data enrichment
Topic 5: Ingesting and processing the data (~20% of the exam)20%- Performing security considerations
  • 1. Data encryption
  • 2. Identity and Access Management (IAM)
  • 3. Auditing, privacy, and compliance
- Building and maintaining data structures and databases
  • 1. Defining data lifecycle
  • 2. Planning for analytical and operational use cases
- Deploying and operationalizing the pipelines
  • 1. CI/CD for data pipelines
  • 2. Job automation and orchestration (Cloud Composer, Workflows)

Professional-Data-Engineer日本語 Exam FAQ: What Candidates Ask About Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版)

The Professional-Data-Engineer日本語 exam, officially known as Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版), is the Google test that leads to the Google Cloud Certified certification at the Professional level. Passing it validates the skills employers expect from a certified professional. It is also associated with related credentials such as Google Cloud Certified Professional Data Engineer.

The Professional-Data-Engineer日本語 exam contains 50-60 questions, and you have 120 minutes to complete them. Work out your per-question pace before test day, and flag slow items instead of stalling on them — time pressure, not knowledge, sinks many first attempts. Timed mock exams in the Actual4Exams test engines are the most reliable way to build that rhythm.

The passing score for the Professional-Data-Engineer日本語 exam is Not officially published (estimated ~80%), and the official registration fee is $200 USD. If you miss the mark, a retake means paying the full fee again, so book your seat only when you are ready. A practical benchmark: score consistently above the passing line on timed practice tests before scheduling the real exam.

No mandatory prerequisites. Recommended: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.

Entry requirements can change, so confirm the latest conditions on the official exam page: https://cloud.google.com/learn/certification/data-engineer.

Yes. A free PDF demo of the Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版) questions is available, so you can check the question style and answer quality before you pay. Every purchase also includes 365 days of free updates, and if the product expires you can renew the update service at a 50% discount from your member zone.

If you take the corresponding Professional-Data-Engineer日本語 exam within 60 days of purchase and do not pass, you can apply for a full refund under the 100% Money Back Guarantee: submit a scan of your enrollment slip and your official Score Report (PDF) within 2 days of the exam date, and the claim is processed within 7 days. Attempts made within 3 days of purchase, downloads without an actual exam attempt, free materials, and expired orders are not eligible, and the candidate name must match the payer name. Prefer new material instead of a refund? You can exchange your purchase for two free products of equal value and keep the update service on your original product. As for delivery, the files are available for instant download and are also emailed to you within one minute of payment — if nothing arrives within 2 hours, contact customer service. There is no limit on how many computers you can install the product on.

The official Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版) outline is organized into 5 domains. The first three are:

  • Ingesting and processing the data (~20% of the exam) — 20% of the exam
  • Preparing and using data for analysis (~15% of the exam) — 15% of the exam
  • Designing data processing systems (~30% of the exam) — 30% of the exam

See the complete exam topics section above for the full outline and the weighting of every domain.

Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版) Sample Questions:

Question 1

既存の初期化アクションを使用して、起動時に Cloud Dataproc クラスタ全体に追加の依存関係をデプロイする必要があります。会社のセキュリティ ポリシーでは、Cloud Dataproc ノードがインターネットにアクセスできないようにする必要があるため、パブリック初期化アクションはリソースを取得できません。どうすればよいでしょうか。

A. SSH トンネルを使用して Cloud Dataproc クラスタにインターネットへのアクセスを許可します
B. Cloud Dataproc マスターに Cloud SQL Proxy をデプロイする
C. すべての依存関係を VPC セキュリティ境界内の Cloud Storage バケットにコピーします。
D. リソース マネージャーを使用して、Cloud Dataproc クラスタで使用されるサービス アカウントをネットワーク ユーザー ロールに追加します。


Question 2

機械学習チームがBigQueryMLを使用してモデルをトレーニングするために使用するデータを準備しています。彼らは不動産の1平方フィートあたりの価格を予測したいと考えています。トレーニングデータには、価格の列と平方フィート数の列があります。別の特徴列は、
「feature1」には、データ欠損のためnull値が含まれています。より多くのデータポイントを保持するために、null値をゼロに置き換えたい場合、どのクエリを使用すればよいでしょうか?

A.

B.

C.

D.


Question 3

データセットに個々の人物の行と、生年月日、国、収入の列が含まれている場合、連続した列はいくつあり、カテゴリ別の列はいくつありますか?

A. 連続 1 つとカテゴリ 2 つ
B. 連続 2 つとカテゴリ 1 つ
C. 3連続
D. 3 カテゴリ


Question 4

Cloud Machine Learning Engine を使用して自分のパソコンで TensorFlow トレーニング ジョブを実行するには、コマンドは何で始まりますか?

A. gcloud ml-engine ジョブの送信トレーニング
B. gcloud ml-engine ローカルトレイン
C. gcloud ml-engine ジョブの送信トレーニング ローカル
D. Cloud ML Engine を使用して、自分のコンピュータ上で TensorFlow プログラムを実行することはできません。


Question 5

社内のデータ アナリストには、プロジェクトで複数の GCP プロダクトを操作できるように、プロジェクトで Cloud IAM オーナーの役割が割り当てられています。組織では、すべての BigQuery データ アクセス ログを 6 か月間保持する必要があります。社内の監査担当者だけがすべてのプロジェクトのデータ アクセス ログにアクセスできるようにする必要があります。どうすればよいでしょうか。

A. 各データアナリストのプロジェクトでデータ アクセス ログを有効にします。Cloud IAM ロールを介して Stackdriver Logging へのアクセスを制限します。
B. プロジェクト レベルのエクスポート シンクを介して、監査ログ用に新しく作成されたプロジェクトの Cloud Storage バケットにデータ アクセス ログをエクスポートします。エクスポートされたログを使用してプロジェクトへのアクセスを制限します。
C. プロジェクト レベルのエクスポート シンクを介してデータ アクセス ログをデータ アナリストのプロジェクト内の Cloud Storage バケットにエクスポートします。Cloud Storage バケットへのアクセスを制限します。
D. 集約されたエクスポート シンクを介して、監査ログ用に新しく作成されたプロジェクトの Cloud Storage バケットにデータ アクセス ログをエクスポートします。エクスポートされたログを含むプロジェクトへのアクセスを制限します。


Solutions:

Question 1
Answer: C
Question 2
Answer: B
Question 3
Answer: A
Question 4
Answer: B
Question 5
Answer: D

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