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From the first practice question to exam-day confidence, 2Pass4sure covers the whole Professional-Data-Engineer日本語 preparation journey. You get 433 questions with verified answers, free updates for a full year, and support that answers when you need it — everything for the Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版) in one place.

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
Exam Price:$200 USD
Passing Score:Not officially published (estimated ~80%)
Exam Duration:120 minutes
Related Certifications:Google Cloud Certified Professional Data Engineer
Exam Format:Multiple-select, Multiple-choice
Available Languages:Japanese, English
Real Exam Qty:50-60
Certificate Validity Period:2 years
Sample Questions: DOWNLOAD DEMO
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: 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 pipelines
  • 1. Streaming (e.g., windowing, late arriving data)
  • 2. Processing logic
  • 3. Data acquisition and import
  • 4. Integrating with new data sources
  • 5. Batch processing
  • 6. AI data enrichment
- Designing data processing resources
  • 1. Cost optimization
  • 2. Compute options (Dataflow, Dataproc, Dataplex, Cloud Functions, Cloud Run)
  • 3. Cluster sizing and autoscaling
Topic 2: Ingesting and processing the data (~20% of the exam)20%- Performing security considerations
  • 1. Data encryption
  • 2. Auditing, privacy, and compliance
  • 3. Identity and Access Management (IAM)
- Deploying and operationalizing the pipelines
  • 1. CI/CD for data pipelines
  • 2. Job automation and orchestration (Cloud Composer, Workflows)
- Building and maintaining data structures and databases
  • 1. Planning for analytical and operational use cases
  • 2. Defining data lifecycle
Topic 3: Maintaining and automating data workloads (~15% of the exam)15%- Automating data processes
  • 1. Workflow orchestration
  • 2. Continuous integration and continuous deployment (CI/CD)
  • 3. Scheduling jobs
- Designing for reliability and fidelity
  • 1. Recovering from failures
  • 2. Planning for monitoring and alerting
  • 3. Performing data quality and validation checks
- Monitoring data pipelines and data processes
  • 1. Managing quotas and resource usage
  • 2. Logging, monitoring, and troubleshooting
Topic 4: Preparing and using data for analysis (~15% of the exam)15%- Preparing data for visualization
  • 1. Preparing data for reporting and dashboards
  • 2. Connecting to Looker and other BI tools
- Sharing data securely
  • 1. Publishing datasets
  • 2. Data sharing and collaboration
Topic 5: Storing the data (~20% of the exam)20%- Selecting storage systems
  • 1. Lifecycle management of data
  • 2. Analyzing data access patterns
  • 3. Planning for storage costs and performance
- Designing for a data platform
  • 1. Building a federated governance model for distributed data systems
  • 2. Building a data platform using Dataplex, Dataplex Catalog, BigQuery, Cloud Storage
- Planning for using a data warehouse
  • 1. Designing the data model
  • 2. Deciding the degree of data normalization
  • 3. Defining architecture to support data access patterns
  • 4. Mapping business requirements
- Using a data lake
  • 1. Monitoring the data lake
  • 2. Processing data
  • 3. Managing the lake (data discovery, access, cost controls)

Common Questions About the Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版) Exam

The Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版) (exam code Professional-Data-Engineer日本語) is the exam you pass to earn the Google Cloud Certified certification, a credential at the Professional level. It is also connected with related credentials such as Google Cloud Certified Professional Data Engineer. If you are mapping out a certification path with Google, this exam is a milestone worth planning around.

The Professional-Data-Engineer日本語 exam includes 50-60 questions, and you have 120 minutes to complete them. With that many questions on the clock, pacing is part of the challenge: divide your time into rough blocks as you go, and flag the items that stall you so you can circle back at the end instead of burning minutes on a single question. A week or two before your exam date, sit at least one full timed session in the 2Pass4sure test engine under the same time limit, so the pace feels familiar rather than frantic on the day.

You need Not officially published (estimated ~80%) to pass the Professional-Data-Engineer日本語 exam, and the official registration fee is $200 USD. That fee is due again in full for every retake, which makes thorough preparation the cheaper investment by far. Before you book your seat, test yourself with the 2Pass4sure practice questions until you are scoring comfortably above the passing mark on a consistent basis — it is the simplest way to avoid paying for the same exam twice.

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

Eligibility rules can be adjusted by Google over time, so before you register, confirm the current requirements on the official exam page: view the official Professional-Data-Engineer日本語 exam information.

Yes. 2Pass4sure offers a free PDF demo of the Professional-Data-Engineer日本語 practice questions, so you can judge the quality of the material firsthand before paying anything. Every purchase also includes 365 days of free updates — if Google changes the exam during that year, your material changes with it. And when the free update period expires, you can extend it at a 50% discount from within your member zone.

Every Professional-Data-Engineer日本語 purchase at 2Pass4sure is backed by a 100% Money Back Guarantee: if you take the corresponding exam within 60 days of your purchase and do not pass, you can apply for a full refund. The guarantee has clear conditions — it does not apply if you sit the exam within 3 days of purchase, if you downloaded the material but never actually took the exam, or to free materials and expired orders, and the candidate name must match the payer name. To file a claim, send a scan of your exam enrollment slip together with your official Score Report PDF within 2 days of the exam; claims are processed within 7 days. If you would rather not take a refund, you can exchange the product instead and receive two additional exam preparation products of equal value for free, while your original product keeps its update service. Delivery itself is instant: your material is available for download right after payment and is also sent to your email within one minute — if it has not arrived within 2 hours, contact our customer service. There is no limit on how many computers you can install it on.

The official Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版) outline divides the exam content into 5 main domains. The first three are:

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

That is only the headline view — scroll back up to the Exam Topics section on this page for the complete domain-by-domain breakdown before you plan your study schedule.

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

projects.regions.clusters.create オペレーションを使用して新しい Cloud Dataproc クラスタを作成する場合、プロジェクト、リージョン、名前、____ の 4 つの値が必要です。

  • A. ノード
  • B. タイプ
  • C. ゾーン
  • D. ラベル
Answer: C

Explanation: Only visible for 2Pass4sure members. You can sign-up / login (it's free).

ペタバイト規模の分析データがあり、そのためのストレージおよび処理プラットフォームを設計する必要があります。Google Cloud のデータに対してデータ ウェアハウス スタイルの分析を実行し、データセットを他のクラウド プロバイダのバッチ分析ツール用のファイルとして公開できる必要があります。どうすればよいでしょうか。

  • A. ウォーム データをファイルとして Cloud Storage に保存し、アクティブ データを BigQuery に保存します。この比率は、ウォーム データが 80%、アクティブ データが 20% になるようにします。
  • B. 完全なデータセットを BigQuery に保存し、データの圧縮コピーを Cloud Storage バケットに保存します。
  • C. データセット全体を BigQuery に保存して処理します。
  • D. データセット全体を Cloud Bigtable に保存して処理します。
Answer: B

あなたは大手金融機関で働いており、Dialogflow を使用して会社のモバイル アプリ用のチャットボットを作成することを計画しています。古いチャット ログを確認し、各顧客がカスタマー サービスに問い合わせた意図に基づいて、各会話の意図をラグ処理しました。顧客からのリクエストの約 70% は、10 件のインテント内で解決される単純なリクエストです。残りの 30% の問い合わせには、はるかに長くて複雑なリクエストが必要です。最初に自動化する必要があるインテントはどれですか。

  • A. より複雑なリクエストを最初に自動化します。エージェントの時間がより多く必要になるためです。
  • B. リクエストの 70% をカバーする 10 個のインテントを自動化し、ライブエージェントがより複雑なリクエストを処理できるようにします。
  • C. ソフトウェアが混乱しないように、「支払い」などの一般的な単語が一度だけ表示される場所でインテントを自動化します。
  • D. 最短のインテントと最長のインテントを組み合わせて、すべてのインテントを代表するように自動化する
Answer: B

Cloud Bigtable の _________ により、Cloud Dataflow パイプラインで Cloud Bigtable を使用できるようになります。

  • A. データフロー SDK
  • B. Cloud Dataflow コネクタ
  • C. BigQuery データ転送サービス
  • D. BiqQuery API
Answer: B

Explanation: Only visible for 2Pass4sure members. You can sign-up / login (it's free).

あなたは、生データゾーンとキュレーション済みゾーンを含む Dataplex 環境を管理しています。データエンジニアリングチームが、キュレーション済みゾーンのバケットアセットに JSON および CSV ファイルをアップロードしていますが、これらのファイルは Dataplex によって自動的に検出されません。Dataplex によってファイルが検出されるようにするには、どうすればよいですか?

  • A. キュレーションされたゾーンのファイルの自動検出を有効にします。
  • B. JSONファイルとCSVファイルをrawゾーンに移動します。
  • C. bgコマンドラインツールを使用して、JSONファイルとCSVファイルをBigQueryテーブルにロードします。
  • D. クラウドストレージ内のCSVファイルとJSONファイルへのオブジェクトレベルのアクセス権を付与します。
Answer: B

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