How many Select Two (Multi-Select) Questions questions are on this page?

This page has 20 Select Two (Multi-Select) Questions scenario questions for the PCD exam, each with detailed explanations and wrong-answer analysis.

How should I approach PCD scenario questions?

Read the full scenario before looking at the answer options. Identify the constraint or requirement in the scenario, then eliminate options that are generally true but wrong for this specific case. Scenario questions reward careful reading over pattern matching.

← Back to Google Professional Cloud Developer questions

Scenario-based practice

Select Two (Multi-Select) Questions

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

Start full practice test Read exam guide

scenario questions

PCD

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.

Practice scenarios

Question 1mediummulti select

Select Two (Multi-Select) Questions

How to approach select two (multi-select) questions

Quick answer

Related PCD topic practice pages

Designing highly scalable, available, and reliable cloud-native applications practice questions

Building and testing applications practice questions

Deploying applications practice questions

Integrating Google Cloud services practice questions

PCD fundamentals practice questions

PCD scenario practice questions

PCD troubleshooting practice questions

Practice scenarios

A company is designing a cloud-native application on Google Kubernetes Engine. They want to ensure high availability and scalability for their microservices. Which two best practices should they follow?

Which TWO are best practices for setting up Cloud Monitoring alerting policies to minimize alert fatigue? (Select exactly 2.)

A company is building a data processing pipeline that needs to ingest events from multiple sources, process them in order, and handle failures with retry. They also need to schedule periodic tasks. Which THREE services should they use? (Choose 3)

You are designing a serverless application using Cloud Functions that processes events from Cloud Storage and Cloud Pub/Sub. The function must be idempotent and handle duplicate events. Which three best practices should you implement? (Choose THREE.)

A development team is building a containerized application on Google Cloud. They want to implement a CI/CD pipeline that automatically builds and tests their application on every push to the main branch. Which TWO actions should they take to achieve this?

You need to select a Google Cloud database for a global e-commerce platform that requires strong consistency for inventory updates, but can tolerate eventual consistency for product reviews. Which THREE services would you consider appropriate for the different parts of the platform?

A startup is migrating a 100 GB PostgreSQL database from a self-managed VM to Cloud SQL. They want zero downtime during cutover. Which TWO features of Database Migration Service should they use?

A company is using Cloud Bigtable for a high-throughput write workload. They notice periodic latency spikes. Which two metrics should they monitor to diagnose the issue? (Choose two.)

A company is designing a polyglot persistence architecture. They need to use Cloud SQL for transactions, Bigtable for real-time analytics, and BigQuery for reporting. They also need to keep data across these systems eventually consistent. Which TWO approaches should they use?

You are designing a Cloud Bigtable schema for a time-series application. To optimize performance and avoid hot spots, which THREE row key design practices should you follow? (Choose 3)

An e-commerce platform uses Cloud Spanner for transactions and Cloud Bigtable for session state and recommendations. They want to synchronize customer profile changes from Spanner to Bigtable in near real-time. Which three components should they use? (Choose 3)

A team is deploying a microservice application on Google Kubernetes Engine (GKE). They want to ensure high availability and minimize downtime during rolling updates. Which TWO actions should they take? (Choose two.)

A financial services company uses BigQuery for analytics but needs to store transactional data with strong consistency and sub-millisecond latency. They are considering Cloud SQL, Cloud Spanner, Bigtable, Memorystore, and Firestore. Which service meets all requirements?

A company is designing a web application that must scale horizontally to handle variable traffic. Which two practices should they implement to ensure the application is stateless and can scale without issues?

A company is using Cloud Run for a stateless API. They want to ensure that the service can handle sudden traffic spikes. Which two features should they configure?

Which TWO are best practices for reducing the cost of Cloud Logging for a high-traffic application?

A company is designing a scalable web application on Google Cloud. They expect variable traffic and want to automatically scale resources based on load. Which two services can automatically scale? (Choose two.)

A company uses Cloud Load Balancing to distribute traffic to HTTP backends. They want to protect against application-layer DDoS attacks (e.g., HTTP flood). Which TWO services should they combine?

A team is designing a globally distributed application on Google Cloud that requires strong consistency for writes but can tolerate eventual consistency for reads. The application expects millions of concurrent users. Which two strategies should they implement? (Choose two.)