Google Data Engineer - GCP-DE Exam Questions [2026]

QUESTION NO: 1
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.

A. Find all the active members who have access to these projects, and create a Cloud IAM policy to grant access to all these users. B. Create distinct groups for various teams, and specify groups in Cloud IAM policies. C. Use Cloud Deployment Manager to automate access provision. D. For each Cloud Storage bucket or BigQuery dataset, decide which projects need acces E. Only use service accounts when sharing data for Cloud Storage buckets and BigQuery datasets. F. Introduce resource hierarchy to leverage access control policy inheritance.

Correct Answer: B,F

QUESTION NO: 2
When a Cloud Bigtable node fails, is lost.

A. all data B. the time dimension C. no data D. the last transaction

Correct Answer: C

Explanation: Only visible for Pass4Test members. You can sign-up / login (it's free).

QUESTION NO: 3
You work for a global shipping company. You want to train a model on 40 TB of data to predict which ships in each geographic region are likely to cause delivery delays on any given day. The model will be based on multiple attributes collected from multiple sources. Telemetry data, including location in GeoJSON format, will be pulled from each ship and loaded every hour. You want to have a dashboard that shows how many and which ships are likely to cause delays within a region. You want to use a storage solution that has native functionality for prediction and geospatial processing. Which storage solution should you use?

A. Cloud Bigtable B. BigQuery C. Cloud Datastore D. Cloud SQL for PostgreSQL

Correct Answer: B

QUESTION NO: 4
Your company is loading comma-separated values (CSV) files into Google BigQuery. The data is fully imported successfully; however, the imported data is not matching byte-to-byte to the source file. What is the most likely cause of this problem?

A. The CSV data loaded in BigQuery is not using BigQuery's default encoding. B. The CSV data has not gone through an ETL phase before loading into BigQuery. C. The CSV data has invalid rows that were skipped on import. D. The CSV data loaded in BigQuery is not flagged as CSV.

Correct Answer: C

QUESTION NO: 5
Suppose you have a table that includes a nested column called "city" inside a column called "person", but when you try to submit the following query in BigQuery, it gives you an error.
SELECT person FROM `project1.example.table1` WHERE city = "London"
How would you correct the error?

A. Add ", UNNEST(city)" before the WHERE clause. B. Add ", UNNEST(person)" before the WHERE clause. C. Change "person" to "person.city". D. Change "person" to "city.person".

Correct Answer: B

Explanation: Only visible for Pass4Test members. You can sign-up / login (it's free).

QUESTION NO: 6
You need to deploy additional dependencies to all of a Cloud Dataproc cluster at startup using an existing initialization action. Company security policies require that Cloud Dataproc nodes do not have access to the Internet so public initialization actions cannot fetch resources. What should you do?

A. Copy all dependencies to a Cloud Storage bucket within your VPC security perimeter B. Use an SSH tunnel to give the Cloud Dataproc cluster access to the Internet C. Use Resource Manager to add the service account used by the Cloud Dataproc cluster to the Network User role D. Deploy the Cloud SQL Proxy on the Cloud Dataproc master

Correct Answer: C

QUESTION NO: 7
You work for a large fast food restaurant chain with over 400,000 employees. You store employee information in Google BigQuery in a Users table consisting of a FirstName field and a LastName field. A member of IT is building an application and asks you to modify the schema and data in BigQuery so the application can query a FullName field consisting of the value of the FirstName field concatenated with a space, followed by the value of the LastName field for each employee. How can you make that data available while minimizing cost?

A. Create a Google Cloud Dataproc job to process the CSV file and output a new CSV file containing the proper values for FirstName, LastName and FullNam G. Run a BigQuery load job to load the new CSV file into BigQuery. B. Create a view in BigQuery that concatenates the FirstName and LastName field values to produce the FullName. C. Create a Google Cloud Dataflow job that queries BigQuery for the entire Users table, concatenates the FirstName value and LastName value for each user, and loads the proper values for FirstName, LastName, and FullName into a new table in BigQuery. D. Run an UPDATE statement that updates the FullName column for each user with the concatenation of the FirstName and LastName values. E. Add a new column called FullName to the Users tabl F. Use BigQuery to export the data for the table to a CSV fil

Correct Answer: D

QUESTION NO: 8
You have enabled the free integration between Firebase Analytics and Google BigQuery. Firebase now automatically creates a new table daily in BigQuery in the format app_events_YYYYMMDD. You want to query all of the tables for the past 30 days in legacy SQL. What should you do?

A. Use WHERE date BETWEEN YYYY-MM-DD AND YYYY-MM-DD B. Use SELECT IF.(date >= YYYY-MM-DD AND date <= YYYY-MM-DD C. Use the WHERE_PARTITIONTIME pseudo column D. Use the TABLE_DATE_RANGE function

Correct Answer: D

Explanation: Only visible for Pass4Test members. You can sign-up / login (it's free).