EN简体繁體日本語
ログイン
ホーム / Google / GCP-PDE
Google · GCP-PDE

GCP-PDE 試験練習問題

Google Professional Data Engineer

GCP-PDE の PDF 練習問題。資料の言語は 英語です。購入はこの試験のみで、自動更新はありません。

試験概要

GCP-PDE は「Google Professional Data Engineer」の認定試験です。試験形式、時間、対応言語は以下をご確認ください。最新の出題範囲や受験条件は公式サイトをご参照ください。

試験コード
GCP-PDE
公式の試験・資格名
Google Professional Data Engineer
試験形式
40–50 single-answer and multiple-select questions (standard exam)
試験時間
120 分
受験可能な言語
英語、日本語

公式試験の対応言語と練習問題ファイルの言語は異なります。試験の版と言語は公式の予約ページでご確認ください。

公式情報： 公式サイト
情報確認日：2026-10-20

対応言語

  • 英語
  • 簡体字中国語
購入前にお試し

最初の 20 問を無料プレビュー

全 349 問

題庫の元の順序で表示します。回答欄を開くと、正解と収録されている解説を確認できます。

問題の言語：英語。問題文・選択肢・正解・解説は元の題庫の言語で表示します。

免責事項：ExamPico の問題はすべてインターネット上の情報を整理したもので、学習参考用として提供しています。

問題 16

Question#16Topic1

Your startup has never implemented a formal security policy. Currently, everyone in the company has access to the datasets stored in Google BigQuery. Teams have freedom to use the service as they see fit, and they have not documented their use cases. You have been asked to secure the data warehouse. You need to discover what everyone is doing. What should you do first?

  1. A. Use Google Stackdriver Audit Logs to review data access.
  2. B. Get the identity and access management IIAM) policy of each table
  3. C. Use Stackdriver Monitoring to see the usage of BigQuery query slots.
  4. D. Use the Google Cloud Billing API to see what account the warehouse is being billed to.
正解を表示

正解

A

問題 17

Question#17Topic1

Your company is migrating their 30-node Apache Hadoop cluster to the cloud. They want to re-use Hadoop jobs they have already created and minimize the management of the cluster as much as possible. They also want to be able to persist data beyond the life of the cluster. What should you do?

  1. A. Create a Google Cloud Dataflow job to process the data.
  2. B. Create a Google Cloud Dataproc cluster that uses persistent disks for HDFS.
  3. C. Create a Hadoop cluster on Google Compute Engine that uses persistent disks.
  4. D. Create a Cloud Dataproc cluster that uses the Google Cloud Storage connector.
  5. E. Create a Hadoop cluster on Google Compute Engine that uses Local SSD disks.
正解を表示

正解

D

問題 18

Question#18Topic1

Business owners at your company have given you a database of bank transactions. Each row contains the user ID, transaction type, transaction location, and transaction amount. They ask you to investigate what type of machine learning can be applied to the data. Which three machine learning applications can you use? (Choose three.)

  1. A. Supervised learning to determine which transactions are most likely to be fraudulent.
  2. B. Unsupervised learning to determine which transactions are most likely to be fraudulent.
  3. C. Clustering to divide the transactions into N categories based on feature similarity.
  4. D. Supervised learning to predict the location of a transaction.
  5. E. Reinforcement learning to predict the location of a transaction.
  6. F. Unsupervised learning to predict the location of a transaction.
正解と解説を表示

正解

BCD

解説

Things to understand: Supervised learning will only predict the column that is labeled. In this case, there is not Fraud or not Fraud column inside which he will train on. So Option A, wrong. option D: Supervised learning for column (transaction location) is possible as column exist to train on. Option C: Custering N-type is possible and also an unsupervised learning to make cluster of similar pattern. Option B: Its a weaker point here, User should be able to know which clusters are fraud in history. As it doesn't give enough information about past analysis whether user knows potential frauds or not. Ignore this option, if question asked for 2 right options only.

問題 19

Question#19Topic1

Your company's on-premises Apache Hadoop servers are approaching end-of-life, and IT has decided to migrate the cluster to Google Cloud Dataproc. A like-for- like migration of the cluster would require 50 TB of Google Persistent Disk per node. The CIO is concerned about the cost of using that much block storage. You want to minimize the storage cost of the migration. What should you do?

  1. A. Put the data into Google Cloud Storage.
  2. B. Use preemptible virtual machines (VMs) for the Cloud Dataproc cluster.
  3. C. Tune the Cloud Dataproc cluster so that there is just enough disk for all data.
  4. D. Migrate some of the cold data into Google Cloud Storage, and keep only the hot data in Persistent Disk.
正解を表示

正解

A

問題 20

Question#20Topic1

You work for a car manufacturer and have set up a data pipeline using Google Cloud Pub/Sub to capture anomalous sensor events. You are using a push subscription in Cloud Pub/Sub that calls a custom HTTPS endpoint that you have created to take action of these anomalous events as they occur. Your custom
HTTPS endpoint keeps getting an inordinate amount of duplicate messages. What is the most likely cause of these duplicate messages?

  1. A. The message body for the sensor event is too large.
  2. B. Your custom endpoint has an out-of-date SSL certificate.
  3. C. The Cloud Pub/Sub topic has too many messages published to it.
  4. D. Your custom endpoint is not acknowledging messages within the acknowledgement deadline.
正解と解説を表示

正解

D

解説

The custom endpoint is not acknowledging the message, that is the reason for Pub/Sub to send the message again and again. Not B.

ダウンロードと個人利用

  • この試験の練習問題を、1・3・6・12か月のダウンロード期間で個別に購入できます。
  • お支払い確認後、作成状況がマイライブラリに表示されます。PDF の準備完了時にメールでお知らせします。
  • 期間内は再ダウンロードできます。期限後は新しい期間をご購入ください。
  • PDF は個人学習専用です。転売や公開共有は禁止されています。
  • 期限後も端末に保存済みのファイルを遠隔で削除することはありません。
資格試験の選び方