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Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版) follows objectives published by Google, so preparation should stay aligned with the official outline. Actual4dump organizes 433 Professional-Data-Engineer日本語 practice questions around those exam areas to support focused review.
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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 |
| Exam Format: | Multiple-select, Multiple-choice |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | 2 years |
| Related Certifications: | Google Cloud Certified Professional Data Engineer |
| Passing Score: | Not officially published (estimated ~80%) |
| Exam Price: | $200 USD |
| Real Exam Qty: | 50-60 |
| Available Languages: | English, Japanese |
| 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:
| Section | Weight | Objectives |
|---|---|---|
| Ingesting and processing the data (~20% of the exam) | 20% | - Performing security considerations
|
| Maintaining and automating data workloads (~15% of the exam) | 15% | - Designing for reliability and fidelity
|
| Preparing and using data for analysis (~15% of the exam) | 15% | - Sharing data securely
|
| Storing the data (~20% of the exam) | 20% | - Using a data lake
|
| Designing data processing systems (~30% of the exam) | 30% | - Designing data processing resources
|
Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版): Frequently Asked Questions
The Professional-Data-Engineer日本語 exam leads to the Google Cloud Certified certification from Google Cloud. It is positioned at the Professional level. The exam validates the knowledge and skills expected of candidates preparing for Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版).
Related certifications include:
- Google Cloud Certified Professional Data Engineer
The Professional-Data-Engineer日本語 exam includes 50-60 questions and allows 120 minutes. Before test day, divide the available time by the number of questions in a timed practice set to establish a steady per-question pace. If a difficult item starts consuming too much time, mark it for review and move forward instead of losing momentum. A full timed practice session can help you decide when to move on, when to return, and how much buffer to reserve for a final check.
The passing score for Professional-Data-Engineer日本語 is Not officially published (estimated ~80%), and the official exam fee is $200 USD. Because a retake requires paying the exam fee again, use timed practice results as a readiness check before scheduling your next attempt. If your performance remains inconsistent, continue reviewing weak domains and repeat a timed session before booking the exam.
No mandatory prerequisites. Recommended: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.
Eligibility rules can change, so confirm the current requirements on the official exam page before registering.
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The current Professional-Data-Engineer日本語 outline is organized into 5 top-level domains. The first listed areas include:
- Storing the data (~20% of the exam) (20%)
- Preparing and using data for analysis (~15% of the exam) (15%)
- Designing data processing systems (~30% of the exam) (30%)
Review the Exam Topics section above for the complete outline and any nested subtopics.
Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版) Sample Questions:
Question 1
Cloud Dataproc クラスタを使用する場合、ブラウザを ____ プロキシ経由で接続するように構成することで、YARN ウェブ インターフェースにアクセスできます。
A. HTTPS
B. ソックス
C. HTTP
D. VPN
Question 2
あなたの会社では、Google Cloud Storage と Google Compute Engine の Cassandra クラスタに保存されている非常に大規模なデータセットに対して複雑な分析を実行したいと考えている新しいデータ サイエンティストを採用しました。このサイエンティストは主に、機械学習プロジェクト用のラベル付きデータセットと、いくつかの視覚化タスクを作成したいと考えています。彼女によると、自分のノート PC はタスクを実行するには性能が足りず、処理が遅くなっているとのことです。あなたは彼女のタスク実行を手助けしたいと考えています。どうすればよいですか。
A. ユーザーに Google Cloud Shell へのアクセス権を付与します。
B. Google Compute Engine 上の VM 上で可視化ツールをホストします。
C. Google Cloud Datalab を Google Compute Engine 上の仮想マシン (VM) にデプロイします。
D. ラップトップで Jupiter のローカル バージョンを実行します。
Question 3
Dataflow を使用して Cloud Storage から BigQuery にデータを処理するアーキテクチャを設計しています。ネットワーク チームから、パイプラインで使用する共有 VPC ネットワークとサブネットワークが提供されました。共有 VPC ネットワーク上でパイプラインのデプロイを有効にする必要があります。何をすればよいでしょうか。
A. Dataflow パイプラインを実行するサービス アカウントにデータフロー管理者ロールを割り当てます。
B. compute.networkUser ロールを Dataflow サービス エージェントに割り当てます。
C. データフロー管理者ロールをデータフロー サービス エージェントに割り当てます。
D. Dataflow パイプラインを実行するサービス アカウントに compute.networkUser ロールを割り当てます。
Question 4
データ ウェアハウスを BigQuery に移行しています。すべてのデータをデータセット内のテーブルに移行しました。組織内の複数のユーザーがデータを使用します。ユーザーには、チーム メンバーシップに基づいて特定のテーブルのみが表示されるようにする必要があります。ユーザー権限をどのように設定すればよいでしょうか。
A. データが存在する同じデータセット内の各チームのSQLビューを作成し、ユーザー/グループにSQLビューへのデータ閲覧者アクセス権を割り当てます。
B. 各テーブルに対してテーブルレベルでユーザー/グループにデータ閲覧権限を割り当てます。
C. 各チーム用に作成されたデータセットに各チームの承認済みビューを作成します。承認済みビューに、データが存在するデータセットへのデータ閲覧者アクセス権を割り当てます。承認済みビューが存在するデータセットへのデータ閲覧者アクセス権をユーザー/グループに割り当てます。
D. データが存在する同じデータセット内の各チームに承認済みビューを作成し、承認済みビューへのデータ閲覧者アクセス権をユーザー/グループに割り当てます。
Question 5
Dataflow に新しいバッチ ジョブを発行します。ジョブは正常に開始され、いくつかの要素を処理した後、突然失敗して停止します。Dataflow の監視インターフェイスに移動すると、パイプライン内の特定の DoFn に関連するエラーが見つかります。これらのエラーの最も可能性の高い原因は何ですか?
A. 権限が不足しています
B. ワーカーコードにおける例外
C. グラフまたはパイプラインの構築
D. ジョブ検証
Solutions:
| Question 1 Answer: B | Question 2 Answer: C | Question 3 Answer: D | Question 4 Answer: B | Question 5 Answer: B |
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