Free Professional Data Engineer on Google Cloud Platform Exam Questions and Answers

Last updated: September 12, 2026

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1. Question #1

   - (Exam Topic 1) You are designing a basket abandonment system for an ecommerce company. The system will send a message to a user based on these rules: No interaction by the user on the site for 1 hour Has added more than $30 worth of products to the basket Has not completed a transaction You use Google Cloud Dataflow to process the data and decide if a message should be sent. How should you design the pipeline?

   • A. Use a fixed-time window with a duration of 60 minutes.
   • B. Use a sliding time window with a duration of 60 minutes.
   • C. Use a session window with a gap time duration of 60 minutes.
   • D. Use a global window with a time based trigger with a delay of 60 minutes.
   Reveal Answer

2. Question #2

   - (Exam Topic 1) You want to use Google Stackdriver Logging to monitor Google BigQuery usage. You need an instant notification to be sent to your monitoring tool when new data is appended to a certain table using an insert job, but you do not want to receive notifications for other tables. What should you do?

   • A. Make a call to the Stackdriver API to list all logs, and apply an advanced filter.
   • B. In the Stackdriver logging admin interface, and enable a log sink export to BigQuery.
   • C. In the Stackdriver logging admin interface, enable a log sink export to Google Cloud Pub/Sub, and subscribe to the topic from your monitoring tool.
   • D. Using the Stackdriver API, create a project sink with advanced log filter to export to Pub/Sub, and subscribe to the topic from your monitoring tool.
   Reveal Answer

3. Question #3

   - (Exam Topic 1) Your company built a TensorFlow neutral-network model with a large number of neurons and layers. The model fits well for the training data. However, when tested against new data, it performs poorly. What method can you employ to address this?

   • A. Threading
   • B. Serialization
   • C. Dropout Methods
   • D. Dimensionality Reduction
   Reveal Answer

4. Question #4

   - (Exam Topic 4) You work for an economic consulting firm that helps companies identify economic trends as they happen. As part of your analysis, you use Google BigQuery to correlate customer data with the average prices of the 100 most common goods sold, including bread, gasoline, milk, and others. The average prices of these goods are updated every 30 minutes. You want to make sure this data stays up to date so you can combine it with other data in BigQuery as cheaply as possible. What should you do?

   • A. Load the data every 30 minutes into a new partitioned table in BigQuery.
   • B. Store and update the data in a regional Google Cloud Storage bucket and create a federated data source in BigQuery
   • C. Store the data in Google Cloud Datastor
   • D. Use Google Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Cloud Datastore
   Reveal Answer

5. Question #5

   - (Exam Topic 5) To run a TensorFlow training job on your own computer using Cloud Machine Learning Engine, what would your command start with?

   • A. gcloud ml-engine local train
   • B. gcloud ml-engine jobs submit training
   • C. gcloud ml-engine jobs submit training local
   • D. You can't run a TensorFlow program on your own computer using Cloud ML Engine .
   Reveal Answer

6. Question #6

   - (Exam Topic 5) Google Cloud Bigtable indexes a single value in each row. This value is called the .

   • A. primary key
   • B. unique key
   • C. row key
   • D. master key
   Reveal Answer

7. Question #7

   - (Exam Topic 5) Scaling a Cloud Dataproc cluster typically involves .

   • A. increasing or decreasing the number of worker nodes
   • B. increasing or decreasing the number of master nodes
   • C. moving memory to run more applications on a single node
   • D. deleting applications from unused nodes periodically
   Reveal Answer

8. Question #8

   - (Exam Topic 5) The Dataflow SDKs have been recently transitioned into which Apache service?

   • A. Apache Spark
   • B. Apache Hadoop
   • C. Apache Kafka
   • D. Apache Beam
   Reveal Answer

9. Question #9

   - (Exam Topic 5) 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.
   Reveal Answer

10. Question #10

    - (Exam Topic 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
    Reveal Answer