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Professional-Data-Engineer Google Professional Data Engineer Exam Free Practice Exam Questions (2025 Updated)

Prepare effectively for your Google Professional-Data-Engineer Google Professional Data Engineer Exam certification with our extensive collection of free, high-quality practice questions. Each question is designed to mirror the actual exam format and objectives, complete with comprehensive answers and detailed explanations. Our materials are regularly updated for 2025, ensuring you have the most current resources to build confidence and succeed on your first attempt.

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Total 383 questions

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

What are two methods that can be used to denormalize tables in BigQuery?

A.

1) Split table into multiple tables; 2) Use a partitioned table

B.

1) Join tables into one table; 2) Use nested repeated fields

C.

1) Use a partitioned table; 2) Join tables into one table

D.

1) Use nested repeated fields; 2) Use a partitioned table

By default, which of the following windowing behavior does Dataflow apply to unbounded data sets?

A.

Windows at every 100 MB of data

B.

Single, Global Window

C.

Windows at every 1 minute

D.

Windows at every 10 minutes

Suppose you have a dataset of images that are each labeled as to whether or not they contain a human face. To create a neural network that recognizes human faces in images using this labeled dataset, what approach would likely be the most effective?

A.

Use K-means Clustering to detect faces in the pixels.

B.

Use feature engineering to add features for eyes, noses, and mouths to the input data.

C.

Use deep learning by creating a neural network with multiple hidden layers to automatically detect features of faces.

D.

Build a neural network with an input layer of pixels, a hidden layer, and an output layer with two categories.

Which SQL keyword can be used to reduce the number of columns processed by BigQuery?

A.

BETWEEN

B.

WHERE

C.

SELECT

D.

LIMIT

For the best possible performance, what is the recommended zone for your Compute Engine instance and Cloud Bigtable instance?

A.

Have the Compute Engine instance in the furthest zone from the Cloud Bigtable instance.

B.

Have both the Compute Engine instance and the Cloud Bigtable instance to be in different zones.

C.

Have both the Compute Engine instance and the Cloud Bigtable instance to be in the same zone.

D.

Have the Cloud Bigtable instance to be in the same zone as all of the consumers of your data.

You have a job that you want to cancel. It is a streaming pipeline, and you want to ensure that any data that is in-flight is processed and written to the output. Which of the following commands can you use on the Dataflow monitoring console to stop the pipeline job?

A.

Cancel

B.

Drain

C.

Stop

D.

Finish

You need to compose visualization for operations teams with the following requirements:

Telemetry must include data from all 50,000 installations for the most recent 6 weeks (sampling once every minute)

The report must not be more than 3 hours delayed from live data.

The actionable report should only show suboptimal links.

Most suboptimal links should be sorted to the top.

Suboptimal links can be grouped and filtered by regional geography.

User response time to load the report must be <5 seconds.

You create a data source to store the last 6 weeks of data, and create visualizations that allow viewers to see multiple date ranges, distinct geographic regions, and unique installation types. You always show the latest data without any changes to your visualizations. You want to avoid creating and updating new visualizations each month. What should you do?

A.

Look through the current data and compose a series of charts and tables, one for each possiblecombination of criteria.

B.

Look through the current data and compose a small set of generalized charts and tables bound to criteria filters that allow value selection.

C.

Export the data to a spreadsheet, compose a series of charts and tables, one for each possiblecombination of criteria, and spread them across multiple tabs.

D.

Load the data into relational database tables, write a Google App Engine application that queries all rows, summarizes the data across each criteria, and then renders results using the Google Charts and visualization API.

MJTelco is building a custom interface to share data. They have these requirements:

They need to do aggregations over their petabyte-scale datasets.

They need to scan specific time range rows with a very fast response time (milliseconds).

Which combination of Google Cloud Platform products should you recommend?

A.

Cloud Datastore and Cloud Bigtable

B.

Cloud Bigtable and Cloud SQL

C.

BigQuery and Cloud Bigtable

D.

BigQuery and Cloud Storage

MJTelco’s Google Cloud Dataflow pipeline is now ready to start receiving data from the 50,000 installations. You want to allow Cloud Dataflow to scale its compute power up as required. Which Cloud Dataflow pipeline configuration setting should you update?

A.

The zone

B.

The number of workers

C.

The disk size per worker

D.

The maximum number of workers

You create a new report for your large team in Google Data Studio 360. The report uses Google BigQuery as its data source. It is company policy to ensure employees can view only the data associated with their region, so you create and populate a table for each region. You need to enforce the regional access policy to the data.

Which two actions should you take? (Choose two.)

A.

Ensure all the tables are included in global dataset.

B.

Ensure each table is included in a dataset for a region.

C.

Adjust the settings for each table to allow a related region-based security group view access.

D.

Adjust the settings for each view to allow a related region-based security group view access.

E.

Adjust the settings for each dataset to allow a related region-based security group view access.

You need to compose visualizations for operations teams with the following requirements:

Which approach meets the requirements?

A.

Load the data into Google Sheets, use formulas to calculate a metric, and use filters/sorting to show only suboptimal links in a table.

B.

Load the data into Google BigQuery tables, write Google Apps Script that queries the data, calculates the metric, and shows only suboptimal rows in a table in Google Sheets.

C.

Load the data into Google Cloud Datastore tables, write a Google App Engine Application that queries all rows, applies a function to derive the metric, and then renders results in a table using the Google charts and visualization API.

D.

Load the data into Google BigQuery tables, write a Google Data Studio 360 report that connects to your data, calculates a metric, and then uses a filter expression to show only suboptimal rows in a table.

Given the record streams MJTelco is interested in ingesting per day, they are concerned about the cost of Google BigQuery increasing. MJTelco asks you to provide a design solution. They require a single large data table called tracking_table. Additionally, they want to minimize the cost of daily queries while performing fine-grained analysis of each day’s events. They also want to use streaming ingestion. What should you do?

A.

Create a table called tracking_table and include a DATE column.

B.

Create a partitioned table called tracking_table and include a TIMESTAMP column.

C.

Create sharded tables for each day following the pattern tracking_table_YYYYMMDD.

D.

Create a table called tracking_table with a TIMESTAMP column to represent the day.

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Total 383 questions
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