Most Recent Google Professional-Data-Engineer Exam Dumps

Prepare for the Google Cloud Certified Professional Data Engineer exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Google Professional-Data-Engineer exam and achieve success.

The questions for Professional-Data-Engineer were last updated on Mar 27, 2025.

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Question No. 1

You have an Oracle database deployed in a VM as part of a Virtual Private Cloud (VPC) network. You want to replicate and continuously synchronize 50 tables to BigQuery. You want to minimize the need to manage infrastructure. What should you do?

ACreate a Datastream service from Oracle to BigQuery, use a private connectivity configuration to the same VPC network, and a connection profile to BigQuery.

BCreate a Pub/Sub subscription to write to BigQuery directly Deploy the Debezium Oracle connector to capture changes in the Oracle database, and sink to the Pub/Sub topic.

CDeploy Apache Kafka in the same VPC network, use Kafka Connect Oracle Change Data Capture (CDC), and Dataflow to stream the Kafka topic to BigQuery.

DDeploy Apache Kafka in the same VPC network, use Kafka Connect Oracle change data capture (CDC), and the Kafka Connect Google BigQuery Sink Connector.

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Correct Answer: A

Datastream is a serverless, scalable, and reliable service that enables you to stream data changes from Oracle and MySQL databases to Google Cloud services such as BigQuery, Cloud SQL, Google Cloud Storage, and Cloud Pub/Sub. Datastream captures and streams database changes using change data capture (CDC) technology. Datastream supports private connectivity to the source and destination systems using VPC networks. Datastream also provides a connection profile to BigQuery, which simplifies the configuration and management of the data replication.Reference:

Datastream overview

Creating a Datastream stream

Using Datastream with BigQuery

Question No. 2

You work for a shipping company that uses handheld scanners to read shipping labels. Your company has strict data privacy standards that require scanners to only transmit recipients' personally identifiable information (PII) to analytics systems, which violates user privacy rules. You want to quickly build a scalable solution using cloud-native managed services to prevent exposure of PII to the analytics systems. What should you do?

ACreate an authorized view in BigQuery to restrict access to tables with sensitive data.

BInstall a third-party data validation tool on Compute Engine virtual machines to check the incoming data for sensitive information.

CUse Stackdriver logging to analyze the data passed through the total pipeline to identify transactions that may contain sensitive information.

DBuild a Cloud Function that reads the topics and makes a call to the Cloud Data Loss Prevention API. Use the tagging and confidence levels to either pass or quarantine the data in a bucket for review.

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Correct Answer: D

Question No. 3

As your organization expands its usage of GCP, many teams have started to create their own projects. Projects are further multiplied to accommodate different stages of deployments and target audiences. Each project requires unique access control configurations. The central IT team needs to have access to all projects. Furthermore, data from Cloud Storage buckets and BigQuery datasets must be shared for use in other projects in an ad hoc way. You want to simplify access control management by minimizing the number of policies. Which two steps should you take? Choose 2 answers.

AUse Cloud Deployment Manager to automate access provision.

BIntroduce resource hierarchy to leverage access control policy inheritance.

CCreate distinct groups for various teams, and specify groups in Cloud IAM policies.

DOnly use service accounts when sharing data for Cloud Storage buckets and BigQuery datasets.

EFor each Cloud Storage bucket or BigQuery dataset, decide which projects need access. Find all the active members who have access to these projects, and create a Cloud IAM policy to grant access to all these users.

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Correct Answer: A, C

Question No. 4

When using Cloud Dataproc clusters, you can access the YARN web interface by configuring a browser to connect through a ____ proxy.

AHTTPS

BVPN

CSOCKS

DHTTP

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Correct Answer: C

When using Cloud Dataproc clusters, configure your browser to use the SOCKS proxy. The SOCKS proxy routes data intended for the Cloud Dataproc cluster through an SSH tunnel.

Question No. 5

Government regulations in your industry mandate that you have to maintain an auditable record of access to certain types of dat

AAssuming that all expiring logs will be archived correctly, where should you store data that is subject to that mandate?

AEncrypted on Cloud Storage with user-supplied encryption keys. A separate decryption key will be given to each authorized user.

BIn a BigQuery dataset that is viewable only by authorized personnel, with the Data Access log used to
provide the auditability.

CIn Cloud SQL, with separate database user names to each user. The Cloud SQL Admin activity logs will be used to provide the auditability.

DIn a bucket on Cloud Storage that is accessible only by an AppEngine service that collects user information and logs the access before providing a link to the bucket.

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Correct Answer: B

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