Courseiva
← Back to Google Professional Data Engineer questions

Scenario-based practice

Select Two (Multi-Select) Questions

Practise Google Professional Data Engineer practice questions — original exam-style scenarios covering every exam domain, with detailed explanations, wrong-answer analysis, and common exam traps.

Start full practice testRead exam guide
20
scenario questions
PDE
exam code
Google Cloud
vendor

Scenario guide

How to approach select two (multi-select) questions

Multi-select questions tell you to 'Choose TWO' or 'Choose THREE'. Getting partial credit is not a thing — you must select all correct answers with no incorrect ones. The stem always states how many to choose, so trust it. These questions require precision, not best-guess elimination.

Quick answer

Select Two (Multi-Select) Questions questions test whether you can apply the concept in context, not just recognise a definition.

How the topic appears in realistic exam-style scenarios.

Which detail in the question changes the correct answer.

How to eliminate plausible but wrong options.

How to connect the question back to the wider exam objective.

Related practice questions

Related PDE topic practice pages

Scenario questions usually connect to one or more exam topics. Use these links to review the underlying concepts behind the scenario.

Designing Data Processing Systems practice questions

Targeted PDE practice covering Designing Data Processing Systems.

Ingesting and Processing the Data practice questions

Practise PDE questions linked to Ingesting and Processing the Data.

Storing the Data practice questions

Practise PDE questions linked to Storing the Data.

Preparing and Using Data for Analysis practice questions

Preparing and Using Data for Analysis practice questions for PDE.

Maintaining and Automating Data Workloads practice questions

Targeted PDE practice covering Maintaining and Automating Data Workloads.

PDE fundamentals practice questions

PDE fundamentals practice questions for PDE.

PDE scenario practice questions

PDE scenario practice questions for PDE.

PDE troubleshooting practice questions

Targeted PDE practice covering PDE troubleshooting.

Practice set

Practice scenarios

Question 1easymulti select
Full question →

You are using Cloud Workflows to orchestrate a series of API calls. You need to handle errors and retries. Which THREE features of Cloud Workflows can you use? (Choose THREE.)

Question 2mediummulti select
Full question →

Which TWO are best practices for monitoring a deployed machine learning model in production on Vertex AI?

Question 3mediummulti select
Full question →

A data warehouse team uses Cloud BigQuery for analytics. They want to optimize query performance and reduce costs. Which three actions should they take? (Choose 3)

Question 4mediummulti select
Full question →

Which TWO steps are required to deploy a custom scikit-learn model to Vertex AI for online predictions?

Question 5hardmulti select
Full question →

A company is migrating their on-premises Hadoop/Spark workloads to Google Cloud. They need a fully managed service that supports existing Spark jobs with minimal code changes, allows autoscaling, and provides integration with Cloud Storage and BigQuery. The team also wants to avoid managing cluster infrastructure and pay only for what they use. Which TWO services meet these requirements? (Choose two.)

Question 6mediummulti select
Full question →

A company wants to track data lineage for their BigQuery tables to understand how data flows from source to derived tables. Which TWO Google Cloud services can be used to capture and visualize data lineage? (Choose 2.)

Question 7hardmulti select
Full question →

A data pipeline processes sensitive customer data. You need to ensure that only authorised users can query the data in BigQuery, and that the data is encrypted at rest and in transit. Which THREE steps should you take? (Choose three.)

Question 8easymulti select
Full question →

A data engineer is preparing a dataset for ML training in Vertex AI. The dataset includes a timestamp column, a categorical column with high cardinality (1000 distinct values), and a numerical column with outliers. Which two preprocessing steps should they apply? (Choose TWO)

Question 9hardmulti select
Full question →

A data engineer is building a Cloud Workflows workflow that orchestrates multiple Cloud Functions and API calls. The workflow should handle transient failures with retries and send a notification to a Pub/Sub topic if the workflow ultimately fails. Which THREE steps should the engineer include in the workflow definition?

Question 10mediummulti select
Full question →

A company uses Cloud Composer (Airflow) to orchestrate pipelines. They want to implement a pattern where a task polls for a file arrival in Cloud Storage and then triggers subsequent tasks. Which THREE Airflow concepts are essential? (Choose 3)

Question 11mediummulti select
Full question →

Which THREE of the following are best practices when designing a Cloud Dataflow pipeline for batch processing? (Choose three.)

Question 12mediummulti select
Full question →

Which TWO best practices should be followed when managing multiple model versions on Vertex AI Endpoints for a production system?

Question 13hardmulti select
Full question →

You are designing a data pipeline that ingests streaming data from Pub/Sub, processes it with Dataflow, and writes to BigQuery. You need to ensure that schema changes in the incoming data (new fields) are handled without pipeline failure. Which THREE steps should you take? (Choose THREE.)

Question 14hardmulti select
Full question →

Your company is building a data processing system that ingests sensor data from millions of devices, processes it in near real-time to detect anomalies, and stores raw and processed data for long-term analytics. The system must meet a 99.9% uptime SLA and minimize data loss. Which THREE design choices are best? (Choose three.)

Question 15easymulti select
Full question →

Which TWO options can help reduce costs for a Dataflow batch pipeline that processes 100 GB of data daily from Cloud Storage? (Choose 2)

Question 16hardmulti select
Full question →

A company uses Cloud Build to deploy containerized applications. They want to ensure build and deployment quality. Which THREE steps should they include in their CI/CD pipeline? (Choose three.)

Question 17mediummulti select
Full question →

A company is planning to migrate a legacy batch ETL pipeline to Google Cloud. The pipeline involves reading from a relational database, transforming data, and writing to a data warehouse. Which three Google Cloud services can be used as the orchestration layer? (Choose three.)

Question 18hardmulti select
Full question →

A company wants to implement a robust MLOps lifecycle on Google Cloud. Which THREE components are essential?

Question 19mediummulti select
Full question →

A data scientist needs to perform feature engineering for a machine learning model using Vertex AI. They want to preprocess data using a pipeline that includes scaling, one-hot encoding, and handling missing values. Which TWO services can they use to define and execute this preprocessing pipeline? (Choose 2.)

Question 20easymulti select
Full question →

A data engineering team is operationalizing a machine learning model for real-time inference. They need to monitor the model's performance in production. Which THREE types of monitoring should they implement? (Choose three.)

These PDE practice questions are part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style PDE questions with detailed explanations, topic-based practice, mock exams, readiness tracking, and study analytics.