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Total 57 questions
Exam Code: Professional-Data-Engineer                Update: Jul 15, 2025
Exam Name: Google Professional Data Engineer Exam

Google Google Professional Data Engineer Exam Professional-Data-Engineer Exam Dumps: Updated Questions & Answers (July 2025)

Question # 1

How would you query specific partitions in a BigQuery table?

A.

Use the DAY column in the WHERE clause

B.

Use the EXTRACT(DAY) clause

C.

Use the __PARTITIONTIME pseudo-column in the WHERE clause

D.

Use DATE BETWEEN in the WHERE clause

Question # 2

Which of the following is NOT a valid use case to select HDD (hard disk drives) as the storage for Google Cloud Bigtable?

A.

You expect to store at least 10 TB of data.

B.

You will mostly run batch workloads with scans and writes, rather than frequently executing random reads of a small number of rows.

C.

You need to integrate with Google BigQuery.

D.

You will not use the data to back a user-facing or latency-sensitive application.

Question # 3

Which of the following are feature engineering techniques? (Select 2 answers)

A.

Hidden feature layers

B.

Feature prioritization

C.

Crossed feature columns

D.

Bucketization of a continuous feature

Question # 4

Which of the following is NOT true about Dataflow pipelines?

A.

Dataflow pipelines are tied to Dataflow, and cannot be run on any other runner

B.

Dataflow pipelines can consume data from other Google Cloud services

C.

Dataflow pipelines can be programmed in Java

D.

Dataflow pipelines use a unified programming model, so can work both with streaming and batch data sources

Question # 5

You are planning to use Google's Dataflow SDK to analyze customer data such as displayed below. Your project requirement is to extract only the customer name from the data source and then write to an output PCollection.

Tom,555 X street

Tim,553 Y street

Sam, 111 Z street

Which operation is best suited for the above data processing requirement?

A.

ParDo

B.

Sink API

C.

Source API

D.

Data extraction

Question # 6

Flowlogistic wants to use Google BigQuery as their primary analysis system, but they still have Apache Hadoop and Spark workloads that they cannot move to BigQuery. Flowlogistic does not know how to store the data that is common to both workloads. What should they do?

A.

Store the common data in BigQuery as partitioned tables.

B.

Store the common data in BigQuery and expose authorized views.

C.

Store the common data encoded as Avro in Google Cloud Storage.

D.

Store he common data in the HDFS storage for a Google Cloud Dataproc cluster.

Question # 7

You want to use a BigQuery table as a data sink. In which writing mode(s) can you use BigQuery as a sink?

A.

Both batch and streaming

B.

BigQuery cannot be used as a sink

C.

Only batch

D.

Only streaming

Question # 8

Flowlogistic’s management has determined that the current Apache Kafka servers cannot handle the data volume for their real-time inventory tracking system. You need to build a new system on Google Cloud Platform (GCP) that will feed the proprietary tracking software. The system must be able to ingest data from a variety of global sources, process and query in real-time, and store the data reliably. Which combination of GCP products should you choose?

A.

Cloud Pub/Sub, Cloud Dataflow, and Cloud Storage

B.

Cloud Pub/Sub, Cloud Dataflow, and Local SSD

C.

Cloud Pub/Sub, Cloud SQL, and Cloud Storage

D.

Cloud Load Balancing, Cloud Dataflow, and Cloud Storage

Question # 9

Flowlogistic’s CEO wants to gain rapid insight into their customer base so his sales team can be better informed in the field. This team is not very technical, so they’ve purchased a visualization tool to simplify the creation of BigQuery reports. However, they’ve been overwhelmed by all thedata in the table, and are spending a lot of money on queries trying to find the data they need. You want to solve their problem in the most cost-effective way. What should you do?

A.

Export the data into a Google Sheet for virtualization.

B.

Create an additional table with only the necessary columns.

C.

Create a view on the table to present to the virtualization tool.

D.

Create identity and access management (IAM) roles on the appropriate columns, so only they appear in a query.

Question # 10

Flowlogistic is rolling out their real-time inventory tracking system. The tracking devices will all send package-tracking messages, which will now go to a single Google Cloud Pub/Sub topic instead of the Apache Kafka cluster. A subscriber application will then process the messages for real-time reporting and store them in Google BigQuery for historical analysis. You want to ensure the package data can be analyzed over time.

Which approach should you take?

A.

Attach the timestamp on each message in the Cloud Pub/Sub subscriber application as they are received.

B.

Attach the timestamp and Package ID on the outbound message from each publisher device as they are sent to Clod Pub/Sub.

C.

Use the NOW () function in BigQuery to record the event’s time.

D.

Use the automatically generated timestamp from Cloud Pub/Sub to order the data.

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Total 57 questions

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