Building and testing applications

An organization uses Cloud Build to deploy multiple microservices to GKE. They want to ensure that the deployment process can be audited and that each deployment can be rolled back to a previous version. What is the recommended approach?

Refer to the exhibit. The function returns 'Error' even though the document exists. What is the most likely reason?

Which TWO actions should a developer take to ensure that a Cloud Run service can access a Cloud SQL instance securely?

An application running on Compute Engine uses Cloud Storage for storing user-uploaded images. During load testing, the application experiences high latency when reading images. The developer suspects that the application is making too many small read requests. Which approach should the developer take to optimize performance?

Refer to the exhibit. A developer deployed a Cloud Run service with the above command. They notice that the service's latency is higher than expected under load. The service performs CPU-intensive tasks. What is the most likely reason for the high latency?

A Cloud SQL for PostgreSQL instance is experiencing high query latency. The database has a high number of read replicas and is used for reporting. The team has identified that index scans are not being used effectively. Which THREE actions should they take to improve query performance?

Which TWO are best practices for testing containerized applications on Google Cloud?

Which THREE of the following are valid reasons to use Cloud Deploy instead of manually applying kubectl commands in a CI/CD pipeline?

A team is implementing a CI/CD pipeline for a Cloud Function using Cloud Build. Which three steps should they include in their cloudbuild.yaml? (Choose 3)

A developer wants to containerize a Node.js application and deploy it to Cloud Run. They need to ensure the container is as small as possible. What should they do?

A developer wants to quickly test changes to a containerized web application that will run on Cloud Run, without building and deploying a new container. Which approach should they use?

Refer to the exhibit. A developer creates this cloudbuild.yaml for a Cloud Build pipeline. When they run the build, they get an error that the image push failed. What is the most likely cause?

A company wants to deploy a containerized application to Cloud Run. Which two approaches are supported? (Choose two.)

A developer created a Cloud Function that makes an HTTP request to an external API. The above error occurs intermittently. The external API is working correctly. What is the most likely cause?

A company deploys a Java application on Compute Engine with a preemptible VM instance group managed by an instance template. The application writes critical state to local SSD. After a preemption event, the new instance starts fresh and loses state. What is the best practice to ensure state persistence?

A team uses Cloud Build to deploy applications that need to access a Cloud SQL database in a VPC. They want to avoid exposing the database to the public internet. Which configuration is required?

Refer to the exhibit. You run the above command to build and push a Docker image to Container Registry. The build fails with an error: 'denied: Unauthenticated access'. What should you do to resolve this?

A developer is writing unit tests for a Python Cloud Run service that uses Cloud Firestore. They want to avoid hitting the real Firestore during tests. What should they use?

During a Cloud Build run, a developer sees the error: "Step #0: error: failed to fetch metadata: connection refused". The build is trying to access a private Docker registry in a different project. What is the most likely cause?

Refer to the exhibit. You have the above cloudbuild.yaml file. The build succeeds but the call to the function fails with a permission error. What is the most likely cause?

A team uses Cloud Build to deploy a containerized application to Cloud Run. The build step fails intermittently with the error 'Failed to trigger build: Build timed out'. What is the most likely cause?

A company is developing a microservices application on Google Cloud. Each service is deployed as a Docker container on Cloud Run. The development team wants to ensure that inter-service communication is encrypted and authenticated. What is the best approach?

Match each command-line tool to its primary use.

Your team is using Cloud Build to build and test a Java application. The build includes unit tests, integration tests, and static code analysis. The build is failing intermittently due to flaky tests. You want to automatically retry the failed steps without rebuilding everything. Which Cloud Build feature should you use?

A development team wants to implement a CI/CD pipeline for a containerized application on Google Cloud. They are using Cloud Build and Cloud Deploy. The application requires canary deployments with automatic rollback if the error rate increases by more than 10% within 5 minutes after deployment. Which Cloud Deploy feature should they configure?

A company uses Cloud Deploy for continuous delivery with multiple targets (dev, staging, prod). After a successful promotion to staging, the team discovers a critical bug and needs to roll back the production target to the previous release. The production target has already been promoted to the current release, but the staging target should remain on the current release. How should the team roll back the production target?

A team uses GitHub for source control. They want to automatically trigger Cloud Build builds on pull request creation. Which two actions are required? (Choose two.)

A developer runs the above command and receives a successful deployment. However, the service is not accessible from the internet. The service is intended to be public. What should the developer check next?

A team is using Cloud Source Repositories and wants to enforce code reviews before merging. What tool should they use?

Match each Cloud Storage class to its typical use case.

A team is deploying a microservices application on Cloud Run and needs to implement canary deployments with traffic splitting. They are using Cloud Deploy. What is the correct configuration to gradually shift traffic from the old revision to the new revision?

During a code review, a developer notices that the application's Cloud Storage client library is using the default credentials of the Compute Engine instance. What is a more secure alternative for a production environment?

Refer to the exhibit. A Cloud Build config deploys a new image to GKE. After the build succeeds, the pods restart with the new image but the application configuration is unchanged. What is the most likely cause?

A developer is building a CI/CD pipeline for a microservices application. The pipeline should build a container image, run unit tests, and deploy to Google Kubernetes Engine (GKE) only if all tests pass. Which Google Cloud service is best suited for orchestrating this pipeline?

A team is setting up a CI/CD pipeline for a Node.js App Engine application using Cloud Build. The source code is in Cloud Source Repositories. What must be configured to automatically run unit tests before deployment?

Which THREE of the following are best practices for building secure applications on Google Cloud?

A developer is deploying a new version of a microservice to Cloud Run. The developer wants to ensure that the new revision is tested with a small percentage of traffic before rolling out to all users. Which TWO approaches can the developer use?

A company needs to build a CI/CD pipeline for a microservices architecture. They want to run unit tests quickly by only testing code that has changed. Which approach should they use?

Drag and drop the steps to set up a Cloud Build trigger for continuous deployment in the correct order.

A team uses Cloud Source Repositories for version control and Cloud Build for CI. The build configuration file (cloudbuild.yaml) includes a step that runs unit tests. The team wants to ensure that the build fails if any test fails. What should the developer do?

A developer is writing unit tests for a Python application that will run on Cloud Functions. The function makes HTTP requests to an external API. The developer wants to avoid making actual network calls during tests. What should the developer use?

Which TWO practices should be followed when integrating Cloud Endpoints with a Cloud Run service to enforce API authentication and rate limiting?

A team is building a mobile backend on Google Cloud using Cloud Endpoints with Firebase Authentication. They want to protect their API from abuse by implementing rate limiting per user. What approach should they take?

Refer to the exhibit. The developer receives an error when creating the delivery pipeline. What is the most likely cause?

Your organization uses Cloud Functions (1st gen) to process events from Cloud Storage. Recently, you migrated to Cloud Functions (2nd gen) to take advantage of longer timeouts and concurrency. After the migration, some invocations fail with 'DeadlineExceeded' errors even though the total execution time is below the 60-minute limit. What is the most likely cause?

A company is using Cloud Build for CI and wants to store build artifacts in Artifact Registry. They want to ensure that only successful builds are promoted to production. What should they do?

Drag and drop the steps to configure a Cloud CDN with a Cloud Load Balancer in the correct order.

A Cloud Run service experiences high latency under load. The service is a Node.js Express app that processes requests sequentially due to a global mutex. What is the most effective solution?

A team is migrating a monolithic .NET application to Cloud Run. The application uses .NET Framework 4.8 and depends on Windows-specific libraries. What is the recommended approach to containerize and deploy this application?

Which THREE steps are required to set up end-to-end testing for a Cloud Run service that uses Firestore and Pub/Sub?

A team is developing a microservice that needs to store user profile images in Cloud Storage. The service is deployed on Cloud Run and will be invoked by other services via HTTP. The images are uploaded by users and the service must validate that the file is an image (e.g., JPEG, PNG) before storing it. The team wants to minimize costs and operational overhead while ensuring that only valid images are stored. The current implementation uploads the file directly to Cloud Storage from the client, but the team wants to add validation in the service. Which approach should the team take?

Refer to the exhibit. A developer runs the above command to deploy a Cloud Function triggered by Pub/Sub. The function fails to execute when a message is published. The logs show: "Function execution took 60001 ms, finished with status: 'timeout'". What should the developer do?

Refer to the exhibit. A developer uses the above cloudbuild.yaml for a Cloud Run service. The trigger is set to run on pushes to the main branch. After a push, the build succeeds but the deployment fails with a permission error. What is the most likely issue?

A team wants to implement automated testing for a Python application deployed on Cloud Run. They want the tests to run as part of the CI/CD pipeline after the image is built but before it is deployed. Which approach should they use?

A developer is building a containerized application on Cloud Run. They want to test the application locally before deploying. Which two tools should they use? (Choose 2)

A team is developing a REST API on Cloud Run. They need to ensure that only authenticated requests from their corporate domain (example.com) are allowed. Which configuration should they use?

Which TWO of the following are valid strategies for testing Cloud Functions locally before deployment?

A developer runs the above command and cloudbuild.yaml. The build fails at the deploy step with a permission error. The developer has the Cloud Build Editor role on the project. What is the likely cause?

A developer needs to test a Cloud Function locally before deploying. Which tool should they use?

Which THREE are best practices for building applications on GKE? (Choose three.)

A company is building a microservice that processes incoming HTTP requests, performs some business logic, and writes results to Firestore. The service has variable traffic with occasional spikes. The development team wants to minimize cold start latency and prefers to use a containerized application with a custom runtime. Which compute option should they choose?

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?

A company is migrating a monolithic Java application to microservices on Google Kubernetes Engine (GKE). The application uses a shared MySQL database. The team wants to adopt a testing strategy that validates service interactions without deploying to a full cluster. Which testing approach is most appropriate?

A developer needs to build a CI/CD pipeline that automatically tests and deploys a Node.js application to Cloud Run whenever a pull request is merged to the main branch. Which Google Cloud service should be used to trigger the pipeline?

Which TWO are benefits of using Cloud Build for your CI/CD pipeline?

A company serves static content (images, CSS) through a Cloud Load Balancer with Cloud CDN enabled. They release a new version of the website with updated image assets. After deployment, users still see old images, even though the new image files are served from the backend. The team has already invalidated the cache for the directory containing the images using the Cloud CDN invalidation feature with a specific path. However, the old images persist. What is the most effective additional step to ensure users see the new images?

A team is setting up a CI/CD pipeline using Cloud Build for a Node.js application. They want to ensure that only code from the main branch is deployed to production. Which TWO practices should they implement?

A team uses Cloud Build to build a Go application and deploy it to Cloud Run. The build triggers from a GitHub repository. The team wants to ensure that only commits to the 'main' branch trigger a production deployment, while other branches trigger a build but not a deployment. How should they configure this?

A developer is writing integration tests for a Cloud Function that uses Cloud Firestore. The tests must run in a local environment without incurring costs or affecting production data. What should the developer use?

A development team uses Cloud Build for CI/CD with a monorepo containing multiple microservices. They want to implement a strategy where only the services affected by a commit are built and deployed. Which approach best achieves this?

A developer wants to store secrets (e.g., API keys) for use in Cloud Functions without exposing them in the source code. Which Google Cloud service should they use?

Which THREE are valid approaches for automating testing in a Cloud Build CI pipeline?

A developer is setting up a Cloud Build configuration file for a Node.js application. They want to ensure that build steps are executed only when changes are pushed to the 'main' branch. What is the correct approach?

A company deploys a microservice on Google Kubernetes Engine (GKE) with a Cloud Deploy delivery pipeline. The application uses a custom container image stored in Artifact Registry. After a successful deployment to a staging cluster, the production deployment fails with 'ImagePullErr: image not found'. The staging and production clusters are in different projects. What is the most likely cause?

A developer is writing unit tests for a Cloud Function that reads from Firestore. They want to avoid real Firestore calls in tests. Which approach is best?

A company has a multi-module repository. They want to build only the modules that have changes. Which two features can they combine to achieve this? (Choose 2)

A team is using Cloud Build to build a Go application. They want to cache Go module dependencies across builds to speed up builds. Which configuration should they add to cloudbuild.yaml?

Which TWO statements are true about Cloud Functions? (Choose two.)

A team is deploying a containerized application to Cloud Run. The application needs to process large files (up to 500 MB) uploaded by users. Which storage approach should they use to avoid Cloud Run's request size limit?

A company runs a web application on Google Kubernetes Engine (GKE) that uses Cloud SQL for its database. The application is deployed via Cloud Build and uses a custom container image stored in Artifact Registry. Recently, the development team noticed that new deployments are failing with a 'CrashLoopBackOff' error in the pod logs. The logs indicate that the application cannot connect to the Cloud SQL instance. The application uses the Cloud SQL Proxy sidecar container to connect. The Cloud SQL Proxy configuration has not changed recently. The GKE cluster is in region us-central1, and the Cloud SQL instance is in us-central1 as well. The team verified that the Cloud SQL instance is running and accepting connections from authorized networks. They also confirmed that the service account used by the pod has the 'Cloud SQL Client' role. The application has been running stable for months until a recent GKE cluster upgrade. The deployment YAML uses environment variables for database connection. The Cloud SQL Proxy is deployed as a sidecar container with command: '/cloud_sql_proxy -instances=<instance-connection-name>=tcp:5432'. The pod logs show the proxy attempting to connect but timing out. The network team confirms that there are no firewall rules blocking the connection. The Cloud SQL instance has an authorized network entry for the GKE cluster's nodes' IP range. What is the most likely cause of the connection failure?

A company has a monorepo with multiple services. They want to only build and test the services that have changed in a given commit. Which Cloud Build feature should they use?

A developer wants to run integration tests against a Cloud Spanner emulator in a local development environment. What is the best way to set up the emulator?

Which TWO statements about building container images for Google Cloud Run are correct? (Choose TWO.)

A company uses Cloud Build to build Docker images and push them to Artifact Registry. They want to ensure that only images built from a specific Cloud Build trigger are deployed to production. Which combination of steps should they implement?

You are a Cloud Developer at a fintech company. Your team has developed a Node.js application that processes real-time financial transactions. The application is deployed on Cloud Run and uses Cloud Pub/Sub to receive transaction messages. The application must have high availability and low latency. Recently, the team noticed that during peak hours, the application experiences increased latency and some messages are not processed within the required 10-minute SLA. The team has configured Cloud Run with a minimum of 5 instances and a maximum of 50, with a concurrency setting of 80. The CPU usage per instance rarely exceeds 40% during peak times. The team also uses Cloud Monitoring and Logging for observability. After analyzing the logs, you find that the message processing time increases due to a database call that often takes 2-3 seconds. The Pub/Sub subscription is configured with a delivery deadline of 10 minutes. What should you recommend to reduce latency and ensure messages are processed within SLA?

Refer to the exhibit. The Cloud Build fails with an error that the image name is invalid. What is the most likely cause?

A team is using Cloud Spanner for a global application. They notice that read latency is high for queries that filter on a non-key column. The table has a primary key of (CustomerID, OrderDate) and there are millions of rows. The query uses a WHERE clause on the 'Status' column. The team wants to reduce latency without significantly increasing storage costs. What is the most effective action?

A developer is debugging a Cloud Function that fails with a timeout. The function makes multiple synchronous external API calls. What is the best way to improve performance and avoid timeouts?

A development team is implementing a CI/CD pipeline using Cloud Build. They need to ensure that sensitive data, such as API keys, are never exposed in build logs. What is the best practice?

A developer wants to ensure their Cloud Function is reliable. Which three testing practices should they follow? (Choose three.)

A developer needs to ensure that environment variables containing secrets are securely passed to a Cloud Function during deployment. Which approach should they use?

Refer to the exhibit. A developer deployed a Cloud Run service as shown. Authenticated requests from another service in the same project using a service account receive 403 Forbidden. What is the most likely cause?

A company uses Cloud Build to build and deploy a microservice. The build step that runs tests fails with a permission denied error when trying to access a private GitHub repository. The build configuration uses a default Cloud Build service account. The team has already added the GitHub repository as a trigger and provided credentials during trigger creation. However, the build step still fails. What is the most likely cause and solution?

A team deploys a stateful application on GKE using StatefulSets. They need to test data persistence after pod rescheduling. Which test scenario best validates this?

A team deploys a containerized web application on Cloud Run. The deployment fails with error 'Container failed to start. Failed to start and then listen on the port defined by the PORT environment variable.' The container image runs fine locally on port 8080. The team has not set any environment variables in the Cloud Run service configuration. What is the most likely issue and solution?

A developer is writing a Cloud Function that throws an exception when processing invalid input. They want to ensure the function returns an appropriate HTTP error response. What should they do?

A developer is using Cloud Functions and wants to ensure that their testing environment mirrors production as closely as possible. Which approach should they take?

A team uses Cloud Tasks to process orders asynchronously. Each order is enqueued after payment verification. Processing involves calling an external shipping API that occasionally returns 503 (Service Unavailable). The Cloud Tasks queue is configured with default retry parameters: max retries = 100, max retry duration = 1 hour. The team notices that some orders are never processed; they remain in the queue until the max retry duration expires and then are discarded. What is the most likely cause and solution?

Your team is building a Node.js application for Google App Engine Standard Environment. The application uses a custom runtime and must run background tasks. However, you notice that background tasks are being terminated after a few seconds. What is the most likely reason?

Which TWO are benefits of using Cloud Build? (Choose two.)

You are designing a CI/CD pipeline for a microservices application deployed on GKE. Your team requires that each service have independent release cycles and canary deployments. Which combination of Google Cloud services should you use?

A company uses Cloud Build to build multiple microservices. They want to reuse a set of build steps across all services. What is the most maintainable approach?

A developer is building a Cloud Function that processes Pub/Sub messages. They want to run the function locally with simulated events before deployment. Which tool should they use?

A developer uses the above cloudbuild.yaml. The build fails with error: 'unauthorized: You don't have the permission to push to this repository.' What is the most likely cause?

A company is using Cloud Deploy to manage canary deployments to GKE. They want to automatically promote a release to the 'production' target if the canary deployment in the 'staging' target passes a set of automated smoke tests. What is the required configuration?

You are a developer for an e-commerce platform running on Google Kubernetes Engine (GKE) with a Cloud SQL backend. The application uses Cloud Memorystore for Redis for session caching. During a flash sale, you notice that the application latency spikes and some users are unable to complete checkout. You suspect the Redis instance is overwhelmed. The Redis instance is currently a Standard tier instance with 5 GB of memory. You need to increase throughput without significant architectural changes. You have the following options: A) Use client-side caching to reduce load on the Redis instance. B) Switch to a Memorystore Standard tier instance with a higher capacity and enable scaling. C) Migrate to a Memorystore Basic tier instance with a larger memory size. D) Enable for Redis clustering on the existing instance to distribute load across shards. Which option should you choose?

A developer is designing a CI/CD pipeline for a Node.js application hosted on Cloud Run using Cloud Build. The pipeline should run unit tests, build the container, push to Artifact Registry, and deploy to Cloud Run. The developer wants to minimize build time by caching dependencies. What is the recommended approach?

A developer deployed a Cloud Function that is triggered by a Pub/Sub topic. The function processes messages and writes results to a BigQuery table. The developer notices that some messages are not being processed; they are visible in the Pub/Sub subscription but the function logs show no invocation for those messages. The function's code is correct and handles errors gracefully. What is the most likely cause and fix?

Refer to the exhibit. A developer is configuring Cloud Build to build a Docker image from a Cloud Source Repository. The build fails with a permission error. What is the most likely reason?

Which THREE steps are required to set up a CI/CD pipeline for Cloud Run using Cloud Build and GitHub? (Choose THREE.)

Refer to the exhibit. A developer writes the above Dockerfile for a Cloud Run service. The service fails to start. The logs indicate that the container exited immediately. What is the most likely cause?

You are building a data pipeline using Cloud Dataflow (Apache Beam). The pipeline reads from Pub/Sub, performs aggregations, and writes to BigQuery. Occasionally, you see duplicates in the BigQuery output, even though the pipeline uses .withInsertId() in the BigQuery write transform. What could be causing these duplicates?

A developer wants to run a single test suite across multiple environments (dev, staging, prod) using Cloud Build. What is the best practice?

A team uses Cloud Build to build and deploy a Node.js application to App Engine flexible environment. The build succeeds, but the deployment fails with 'ERROR: (gcloud.app.deploy) Error Response: [9] Application startup error!' The team checks logs and sees 'Error: Module not found: 'express''. What is the most likely cause?