Professional Cloud Developer Free Practice Questions — Page 8
Question 71
You work for a company that operates an ecommerce website. You are developing a new integration that will manage all order fulfillment steps after orders are placed. You have created multiple Cloud Functions to process each order. You need to orchestrate the execution of the functions, using the output of each function to determine the flow. You want to minimize the latency of this process. What should you do?
A. Use Workflows to call the functions, and use callbacks to handle the execution logic.
B. Use Workflows to call the functions, and use conditional jumps to handle the execution logic.
C. Use Cloud Composer to call the functions, and use an Apache Airflow HTTP operator to handle the execution logic.
D. Use Cloud Composer to call the functions, and use an Apache Airflow operator to handle the execution logic.
Show Answer
Correct Answer: B
Explanation: Google Cloud Workflows is designed for low-latency orchestration of serverless services like Cloud Functions. It natively supports conditional logic (conditional jumps) based on function outputs, allowing dynamic control flow without additional infrastructure. This minimizes latency compared to Cloud Composer, which is heavier and better suited for batch workflows, and avoids unnecessary callback complexity.
Question 72
You manage an application deployed on GKE clusters across multiple environments. You are using Cloud Build to run user acceptance testing (UAT) tests. You have integrated Cloud Build with Artifact Analysis, and enabled the Binary Authorization API in all Google Cloud projects hosting your environments. You want only container images that have passed certain automated UAT tests to be deployed to the production environment. You have already created an attestor. What should you do next?
A. After the UAT phase, sign the attestation with a key stored as a Kubernetes secret. Add a GKE cluster-specific rule in Binary Authorization for the UAT Google Cloud project.
B. After the UAT phase, sign the attestation with a key stored as a Kubernetes secret. Add a GKE cluster-specific rule in Binary Authorization for the production Google Cloud project policy.
C. After the UAT phase, sign the attestation with a key stored in Cloud Key Management Service (KMS). Add a default rule in Binary Authorization for the UAT Google Cloud project.
D. After the UAT phase, sign the attestation with a key stored in Cloud Key Management Service (KMS). Add a GKE cluster-specific rule in Binary Authorization for the production Google Cloud project policy.
Show Answer
Correct Answer: D
Explanation: Binary Authorization must be enforced at the point of deployment, which is the production GKE cluster. After UAT succeeds, the image should be attested and signed using a secure key managed by Cloud KMS (best practice). Then configure a GKE cluster-specific Binary Authorization policy in the production Google Cloud project to require that attestation before allowing deployments.
Question 73
You are developing a mobile application that allows users to create and manage to-do lists. Your application has the following requirements:
• Store and synchronize data between different mobile devices.
• Support offline access.
• Provide real-time updates on each user's device.
You need to implement a database solution while minimizing operational effort. Which approach should you use?
A. Create a Cloud SQL for MySQL instance. Implement a data model to store to-do list information. Create indexes for the most heavily and frequently used queries.
B. Create a Bigtable instance. Design a database schema to avoid hotspots when writing data. Use a Bigtable change stream to capture data changes.
C. Use Firestore as the database. Configure Firestore offline persistence to cache a copy of the Firestore data. Listen to document changes to update applications whenever there are document changes.
D. Implement a SQLite database on each user's device. Use a scheduled job to synchronize each device database with a copy stored in Cloud Storage.
Show Answer
Correct Answer: C
Explanation: Firestore is a fully managed mobile-friendly database that natively supports real-time data synchronization, offline persistence, and cross-device syncing with minimal operational overhead. Clients can listen to document changes for real-time updates, and offline caching allows continued access without connectivity, making it the best fit for the requirements.
Question 74
You maintain a popular mobile game deployed on Google Cloud services that include Firebase, Firestore, and Cloud Functions. Recently, the game experienced a surge in usage, and the application encountered HTTP 429 RESOURCE_EXHAUSTED errors when accessing the Firestore API. The application has now stabilized. You want to quickly fix this issue because your company has a marketing campaign next week and you expect another surge in usage. What should you do?
A. Request a quota increase, and modify the application code to retry the Firestore API call with fixed backoff.
B. Request a quota increase, and modify the application code to retry the Firestore API call with exponential backoff.
C. Optimize database queries to reduce read/write operations, and modify the application code to retry the Firestore API call with fixed backoff.
D. Optimize database queries to reduce read/write operations, and modify the application code to retry the Firestore API call with exponential backoff.
Show Answer
Correct Answer: B
Explanation: HTTP 429 RESOURCE_EXHAUSTED indicates Firestore quota or rate limits. For a rapid, low-risk fix before an imminent traffic surge, requesting a quota increase directly addresses the capacity issue, and adding retries with exponential backoff follows Google best practices to handle transient throttling. Optimizing database queries is valuable but typically requires deeper analysis, testing, and deployment time, making it less suitable as a quick fix.
Question 75
You are developing an application component to capture user behavior data and stream the data to BigQuery. You plan to use the BigQuery Storage Write API. You need to ensure that the data that arrives in BigQuery does not have any duplicates. You want to use the simplest operational method to achieve this. What should you do?
A. Create a write stream in the default type.
B. Create a write stream in the committed type.
C. Configure a Kafka cluster. Use a primary universally unique identifier (UUID) for duplicate messages.
D. Configure a Pub/Sub topic. Use Cloud Functions to subscribe to the topic and remove any duplicates.
Show Answer
Correct Answer: B
Explanation: The BigQuery Storage Write API committed write stream provides exactly-once semantics and server-side deduplication using stream offsets. This ensures that data arriving in BigQuery has no duplicates without requiring additional infrastructure or custom deduplication logic, making it the simplest operational choice.
Question 76
You are designing a Node.js-based mobile news feed application that stores data on Google Cloud. You need to select the application's database. You want the database to have zonal resiliency out of the box, low latency responses, ACID compliance, an optional middle tier, semi-structured data storage, and network-partition-tolerant and offline-mode client libraries. What should you do?
A. Configure Firestore and use the Firestore client library in the app.
B. Configure Bigtable and use the Bigtable client in the app.
C. Configure Cloud SQL and use the Google Client Library for Cloud SQL in the app.
D. Configure BigQuery and use the BigQuery REST API in the app.
Show Answer
Correct Answer: A
Explanation: Firestore (Native mode) is designed for mobile and web apps and meets all the requirements: it provides built-in zonal/multi-region resiliency, low-latency reads and writes, ACID transactions, schema-flexible semi-structured document storage, and direct client SDK access with optional server middle tier. Its client libraries support offline persistence and synchronization, making it tolerant of network partitions. Bigtable lacks ACID transactions and offline mobile SDKs, Cloud SQL is relational and not optimized for semi-structured data or offline clients, and BigQuery is an analytical warehouse, not a low-latency operational database.
Question 77
You are preparing to conduct a load test on your Cloud Run service by using JMeter. You need to orchestrate the steps and services to use for an effective load test and analysis. You want to follow Google-recommended practices. What should you do?
A. Install JMeter on your local machine, create a log sink to BigQuery, and use Looker to analyze the results.
B. Set up a Compute Engine instance, install JMeter on the instance, create a log sink to a Cloud Storage bucket, and use Looker Studio to analyze the results.
C. Set up a Compute Engine instance, install JMeter on the instance, create a log sink to a Cloud Storage bucket, and use Looker to analyze the results.
D. Set up a Compute Engine instance, install JMeter on the instance, create a log sink to BigQuery, and use Looker Studio to analyze the results.
Show Answer
Correct Answer: D
Explanation: Google-recommended practice is to generate load from within Google Cloud for scalability and network proximity, which points to running JMeter on a Compute Engine instance rather than a local machine. For analysis, exporting Cloud Run logs to BigQuery is preferred because it handles large, structured log volumes and supports efficient querying. Looker Studio is the recommended visualization tool for building dashboards on top of BigQuery. Together, these steps align with Google’s guidance for load testing and observability.
Question 78
You are a lead developer at an organization that recently integrated several Google Cloud services. These services are located within Virtual Private Cloud (VPC) environments that are secured with VPC Service Controls and Private Service Connect endpoints. Developers across your organization use different operating systems, development frameworks, and integrated development environments (IDEs). You need to recommend a developer environment that will ensure consistency in the developer process and improve the overall developer experience. You want this solution to:
• Enforce consistent security controls.
• Have access to Google Cloud resources and applications within the VPC.
• Allow the installation of custom tools and utilities on the development environments.
What solution should you recommend?
A. Use Cloud Workstations, and allow developers to create their own custom images.
B. Use Cloud Workstations with preconfigured base images. For custom tools and utilities, use custom images that are rebuilt weekly.
C. Use the Cloud Code extension with the IDEs that are used across the organization. Configure Cloud VPN to enable VPC access.
D. Use the Cloud Code extension with the IDEs that are used across the organization. Use Identity-Aware Proxy to enable access to the services in the VPC.
Show Answer
Correct Answer: B
Explanation: Cloud Workstations provides managed, consistent developer environments that run inside a Google Cloud VPC, allowing secure access to resources protected by VPC Service Controls and Private Service Connect. Using preconfigured base images enforces standardized security and tooling across teams, while controlled custom images allow installation of required tools and utilities without sacrificing consistency. Rebuilding custom images regularly maintains security hygiene and alignment with organizational standards, which alternatives based on local IDEs and extensions cannot guarantee.
Question 79
You are developing an application that uses microservices architecture that includes Cloud Run, Bigtable, and Pub/Sub. You want to conduct the testing and debugging process as quickly as possible to create a minimally viable product with minimal cost. What should you do?
A. Use Cloud Shell Editor and Cloud Shell to deploy the application, and test the functionality by using the Google Cloud console in the project.
B. Use emulators to test the functionality of cloud resources locally, and deploy the code to your Google Cloud project.
C. Use Cloud Build to create a pipeline, and add the unit testing stage and the manual approval stage. Deploy the code to your Google Cloud project.
D. Use Cloud Code to develop, deploy, and test microservices resources. Use Cloud Logging to review the resource logs.
Show Answer
Correct Answer: B
Explanation: To build an MVP quickly with minimal cost, you should avoid repeatedly deploying real cloud resources during early testing. Using local emulators for services like Bigtable and Pub/Sub allows rapid development, debugging, and iteration without incurring Google Cloud costs. Once functionality is validated locally, you can deploy the code to Cloud Run and integrate with actual cloud services. The other options involve deploying resources or setting up pipelines that add cost and overhead, which slows down early-stage experimentation.
Question 80
You work for an ecommerce company. You are designing a new Orders API that will be exposed through Apigee. In your Apigee organization, you created two new environments named orders-test and orders-prod. You plan to use unique URLs named test.lnk-42.com/api/v1/orders and Ink-42.com/api/v1/orders for each environment. You need to ensure that each environment only uses the assigned URL. What should you do?
A. 1. Attach orders-test and orders-prod to the orders environment group. 2. Add each hostname to the appropriate environment.
B. 1. Attach orders-test and orders-prod to the orders environment group. 2. Add each hostname to the orders environment group.
C. 1. Attach orders-test to the test environment group, and attach orders-prod to the production environment group. 2. Add each hostname to the appropriate environment.
D. 1. Attach orders-test to the test environment group, and attach orders-prod to the production environment group. 2. Add each hostname to the appropriate environment group.
Show Answer
Correct Answer: D
Explanation: In Apigee, hostnames are defined on environment groups, not on individual environments. To ensure each environment only responds to its assigned URL, you must attach each environment to the correct environment group and then configure the hostname on that environment group. By attaching orders-test to the test environment group and orders-prod to the production environment group, and adding the respective hostnames to those groups, each environment is restricted to its intended URL.
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