Google Cloud Certified Associate Cloud Engineer Sample Questions -ACE‑001 ( 2026 )

Get exam-ready with these Google Cloud Certified Associate Cloud Engineer sample questions tailored to the latest ACE‑001 exam pattern. Whether you're using practice exams, solving Google Cloud Certified Associate Cloud Engineer exam questions, or reviewing full-length practice tests, this resource boosts your confidence and prepares you for real-world cloud scenarios. Designed for beginners and intermediate professionals, this guide helps you pass your certification using up-to-date study material aligned with Google Cloud’s best practices and exam objectives.

Google Cloud Certified Associate Cloud Engineer Sample Questions List :

1. Your service includes processing and analyzing large sets of sensor data that are collected every minute from various devices. You need to ensure real-time processing and immediate availability of the processed data for your analytics team. What is the most efficient and cost-effective way to set up this workflow on Google Cloud?

1. Store raw sensor data in Cloud Storage, use Dataflow to process it, and save the results in BigQuery.

2. Stream sensor data into Pub/Sub, process it with Cloud Dataflow, and output to BigQuery.

3. Write sensor data to Cloud SQL, set up database triggers to process data, and query with SQL for analysis.

4. Upload sensor data directly to BigQuery and use BigQuery ML for real-time analysis and storage.

2. You have been tasked with establishing billing budgets and alerts for a new project. The company's CFO wants to ensure there's a mechanism in place that will trigger an alert when the GCP costs reach 70% of the total monthly budget, with subsequent alerts every 10% increase after that. Which of the following approaches would best fulfill these requirements?

1. Create multiple budget alerts at 70%, 80%, 90%, and 100% of the budget using the GCP console.

2. Use the GCP console to set up a single budget and alert for 70% of the total budget, then manually increase the threshold by 10% whenever an alert is triggered.

3. Use Cloud Monitoring to monitor resource usage and manually notify the CFO when the usage reaches 70% and increases by 10% after that.

4. Use Cloud Billing Account API to create one budget and set custom thresholds at 70%, 80%, 90%, and 100% of the budget.

3. You are tasked with designing a system architecture for a global e-commerce app that handles both HTTP and HTTPS traffic. The app consists of microservices on Google Kubernetes Engine (GKE), and traffic must be directed to the appropriate service based on the URL path. Which load balancing option is best for this?

1. TCP Proxy Load Balancer

2. HTTP(S) Load Balancer

3. Network Load Balancer

4. SSL Proxy Load Balancer

4. Your team is running Apache Spark jobs on Dataproc clusters to process large datasets. You notice that the cluster’s preemptible workers are being aggressively decommissioned during the job, causing the job to restart tasks and take longer to complete. You want to reduce costs without impacting the job’s runtime. What should you do?

1. Use persistent disk storage to ensure job progress is saved across interruptions.

2. Disable preemptible instances entirely to avoid interruptions.

3. Set a graceful decommissioning timeout to allow tasks to finish before shutting down.

4. Use Cloud Monitoring to identify underutilized workers and scale them down manually.

5. You are required to set up a secure and dedicated connection between your on-premises data center and your Google Cloud VPC for a latency-sensitive application. Your solution must also support high throughput. Which option should you choose?

1. Provision a Cloud Interconnect - Dedicated connection for a direct physical link.

2. Implement Cloud CDN to optimize network latency and increase throughput.

3. Use Cloud VPN with a high-availability configuration to ensure a stable connection.

4. Establish a VPC Peering connection with the on-premises data center.

6. You have a Google Cloud project hosting an e-commerce platform with sensitive customer data. The customer service team should access only non-sensitive data, while developers need broader access for system improvements. How should you configure IAM roles to ensure security with minimal maintenance?

1. Create two groups, assign roles/iam.serviceAccountUser to the customer service group, and a custom role with necessary permissions to the developer group.

2. Create two groups, assign roles/viewer to the customer service group, and roles/editor to the developer group.

3. Assign roles/viewer to the customer service team and roles/editor to the developers individually.

4. Create two groups, assign a custom role with permissions to view non-sensitive data to the customer service group, and roles/owner to the developer group.

7. You are an associate cloud engineer working on a Google Cloud Platform (GCP) project. You have several service accounts each with varying roles across different projects in your organization. One service account, named "service-account-1," is running an application on a Compute Engine instance and needs to access a Cloud Storage bucket, named "bucket-1," from another project.

1. Assign the Viewer role to "service-account-1" at the project level of the project that owns "bucket-1".

2. Assign the Storage Object Viewer role to "service-account-1" specifically on "bucket-1".

3. Create a new custom role with all storage permissions and assign it to "service-account-1" at the project level.

4. Assign the Storage Admin role to "service-account-1" at the organization level.

8. You are tasked with creating an application that will require a large amount of ingress data for a sustained period of time. The application is hosted on a Compute Engine instance and you want to optimize for cost and performance. Which of the following strategies should you adopt to reserve an internal IP address for this task?

1. Assign multiple ephemeral internal IP addresses to distribute the load.

2. Associate the instance with a static internal IP address only.

3. Associate the instance with an ephemeral internal IP address only.

4. Associate the instance with a regional static internal IP address and enable Direct Peering.

9. You are tasked with ensuring that all changes to your Google Cloud SQL database trigger an automated process for compliance verification. This process must execute in near real-time with minimal configuration. How should you achieve this?

1. Use a Cloud Pub/Sub topic to capture database changes and invoke the compliance process through a subscriber.

2. Run a periodic Python script to query changes from the database and call the compliance process.

3. Use Cloud Functions to trigger the compliance process when a database change is logged.

4. Enable Cloud SQL triggers and call the compliance process directly from the database.

10. You have been assigned to set up a billing export for your company's GCP project. The objective is to have a granular, daily export of all the billing data to facilitate cost analysis and forecasting. The exported data must be readily available for immediate analysis without additional processing. Which of the following is the best approach to meet these requirements?

1. Enable Pub/Sub notifications for all billing data and set up a Cloud Function to write these notifications into Firestore for analysis.

2. Set up a BigQuery billing export and create a scheduled query to export the daily costs to a CSV file stored on Google Cloud Storage.

3. Use Cloud Billing Account API to export daily billing data to a Google Sheets document for analysis.

4. Set up a BigQuery billing export and use the data directly from BigQuery for analysis.

11. As a cloud associate engineer, you are tasked with designing and implementing a Google Cloud environment for a new project. Which of the following best represents a Google Cloud best practice?

1. Assign all team members the Owner role to simplify permissions management.

2. Regularly create and review audit logs to track service usage.

3. Only use single-zone storage for critical data to minimize storage costs.

4. Use a single Virtual Private Cloud (VPC) for all projects to simplify network design.

12. You have been tasked with setting up a Virtual Private Network (VPN) between a Google Cloud VPC (Virtual Private Cloud) and an external network. You need to establish an encrypted connection for secure data transfer. Which of the following actions should you take?

1. Use a third-party VPN service without Cloud VPN or Cloud Router.

2. Create a VPN tunnel in the Google Cloud Console and use static IP addressing for the external network.

3. Use Cloud VPN and Cloud Router to dynamically manage VPN routes between the Google VPC and the external network.

4. Set up a Cloud VPN with IPsec protocol and enable Cloud Load Balancing.

13. Your company needs to analyze large volumes of streaming data from connected devices to gain real-time insights and respond to trends quickly. The solution should be highly scalable and capable of handling uneven data loads while being cost-effective. Which Google Cloud service should you use?

1. Deploy the application on Cloud Run to auto-scale and pay only for the compute seconds used.

2. Store the data in Firestore for real-time processing and easy scalability.

3. Implement a relational database on Cloud SQL with vertical scaling to manage workload spikes.

4. Use Cloud Dataflow to process and analyze the streaming data in real time.

14. You are tasked with ensuring that any modifications to sensitive datasets in BigQuery are logged and trigger a notification process in near real time. Your team needs a solution that integrates seamlessly with Google Cloud services and minimizes operational overhead. What should you do?

1. Write a Python script that polls BigQuery datasets for changes and triggers the notification process.

2. Enable Cloud Audit Logs for BigQuery and create a custom monitoring script to analyze logs.

3. Set up a scheduled query to run periodically and log any changes to the dataset.

4. Use a Cloud Function triggered by BigQuery's event notifications to log changes and send notifications.

15. An associate cloud engineer is tasked with deploying a stateful application on Google Kubernetes Engine (GKE). Which strategy should they adopt to persist data across pod restarts and ensure data is not lost?

1. Use in-memory storage options like Memcached.

2. Use Kubernetes ephemeral volumes.

3. Store data in the container's local file system.

4. Use GCE persistent disks in combination with PersistentVolume and PersistentVolumeClaim resources.

16. You are developing a real-time analytics application on Google Cloud Platform and you want to process a stream of data from different sources. Which of the following is the most appropriate service for ingesting and delivering event data to your application?

1. Cloud Functions

2. Cloud Pub/Sub

3. Cloud BigQuery

4. Cloud Storage

17. Your organization is migrating its customer analytics dashboard to Google Cloud. The analytics team needs access to analyze data in BigQuery but must not have permissions to manage datasets or tables. As the team lead, you want to use the simplest approach with minimal ongoing maintenance. What should you do?

1. Assign roles/viewer to the analytics team.

2. Create a group for the analytics team and assign roles/bigquery.dataViewer to the group.

3. Enable the BigQuery public dataset feature and provide access to the team.

4. Assign roles/bigquery.admin to the analytics team.

18. You are a cloud engineer and have been assigned the task of managing service accounts within your organization. There is a Compute Engine instance in your project that is required to interact with Cloud Pub/Sub. You have been asked to set this up without giving unnecessary permissions, adhering to the principle of least privilege.

1. Create a new service account with the roles/pubsub.editor role and associate it with the Compute Engine instance.

2. Assign the roles/pubsub.publisher role to the Compute Engine's default service account.

3. Create a new service account with the roles/pubsub.admin role and associate it with the Compute Engine instance.

4. Create a new service account with the roles/pubsub.publisher role and associate it with the Compute Engine instance.

19. You want to implement an SSL certificate for your company’s new e-commerce website, which is hosted on Google Cloud Platform. You aim to ensure secure communication over HTTPS following Google's best practices. What should you do?

1. Implement an SSL proxy to handle SSL certificates outside of GCP services.

2. Use Google-managed SSL certificates in conjunction with Google Cloud Load Balancing.

3. Manually install a self-signed SSL certificate directly on your Compute Engine VM.

4. Upload a private SSL certificate to each VM instance through the instance metadata.

20. Your application is experiencing increased load and you decide to scale your Compute Engine instances. However, upon trying to scale, you receive an error that the region is out of resources. What should you do to mitigate this issue?

1. Scale up your instances in a different zone within the same region.

2. Migrate your instances to a different machine type in the same region.

3. Wait and try to scale up your instances later when resources might be available.

4. Contact Google support to request additional resources in the region.

21. Your company requires strict compliance with data residency regulations, and you need to ensure that certain datasets stored in Google Cloud do not leave the geographical boundaries of a specific region. What should you do to enforce this requirement?

1. Regularly monitor access logs with Cloud Audit Logs to ensure data does not leave the region.

2. Utilize Resource Labels to mark the datasets and create a policy that prevents data transfer outside the specified region.

3. Implement an Organization Policy that restricts resource locations to the specified region.

4. Set up a VPC Service Control to define a security perimeter around the resources.

22. As a cloud engineer for a global e-commerce company, you are tasked with using Google Cloud DNS to improve website accessibility, reduce latency, secure DNS requests, and enhance resolution speed. What steps should you take to meet these requirements?

1. Create a private managed zone and enable DNSSEC for the zone.

2. Create a public managed zone and set up a Cloud DNS peering policy.

3. Create a public managed zone and enable DNSSEC for the zone.

4. Create a public managed zone and configure Cloud DNS to use a forwarding DNS server.

23. Your organization is migrating its internal employee performance analytics application to Google Cloud. The HR department needs access to aggregated employee data stored in BigQuery for analytics but should not have permissions to modify the data or access detailed personal information. As the project lead, you need a solution that ensures the least privilege access with minimal maintenance. What should you do?

1. Create a custom role with view-only permissions and assign it to the HR department group.

2. Assign roles/viewer to the HR department group.

3. Assign roles/bigquery.dataViewer to the HR department group.

4. Assign roles/bigquery.dataEditor to the HR department group.

24. You have been tasked with setting up appropriate alerting and log-based metrics for a set of Compute Engine instances in your GCP project. After some time, you realize that some specific application logs from these instances are not being captured in Cloud Logging. Which of the following could be the reason, and what should be your next steps?

1. Your GCP project has reached the logging quota. You need to request for quota increase.

2. The log entries have reached their retention period and are deleted. You need to increase the retention period.

3. The Cloud Logging agent is not configured correctly or not installed. You need to ensure the agent is installed and configured properly.

4. The instances are located in a region different from your Cloud Logging region. You need to move your instances to the same region.

25. An online media platform uses a machine learning-based recommendation system to suggest movies. Recently, engagement dropped and recommendations degraded, likely due to changing user preferences. What should the team do to address this and prevent future issues?

1. Retrain the model with data collected during the first month of the platform's launch.

2. Collect more user feedback and delay retraining until at least one year of data is available.

3. Retrain the model with recent data reflecting current preferences and trends. Implement a process to monitor model performance and retrain periodically.

4. Retrain the model with data collected over the last 60 days and deploy the updated model immediately.

26. You are tasked with ensuring high availability for a stateless application running on Compute Engine. The application must withstand the failure of a single zone. Which strategy should you implement?

1. Create a Compute Engine instance template and manually replicate it across different zones.

2. Utilize regional managed instance groups to distribute instances across multiple zones within a region.

3. Deploy the application across multiple instances within a single zone and use instance groups.

4. Place instances in a single region and use a load balancer to distribute traffic evenly.

27. You have been tasked with setting up a scalable web application that is expected to have variable traffic patterns, with potential high spikes during certain events. You need to ensure that the application can scale automatically while keeping costs low. What should you do?

1. Utilize App Engine standard environment for automatic scaling based on traffic.

2. Use Compute Engine with preemptible VMs to handle the web application traffic.

3. Deploy the application on a single large Compute Engine VM that is manually scaled during events.

4. Set up a Kubernetes Engine cluster with node autoscaling to manage the deployment.

28. You are tasked with implementing a solution to capture and analyze log data from your Compute Engine instances. The goal is to identify any unauthorized access attempts in real-time and trigger a notification workflow. What method should you use that aligns with best practices for simplicity and automated response?

1. Configure Cloud Logging to monitor for the specific log entries and trigger a Cloud Function when detected.

2. Use a cron job on each instance to periodically send logs to an analysis service like BigQuery.

3. Write a custom script on each instance to send logs to Pub/Sub and analyze them with a Cloud Function.

4. Set up a direct connection from Compute Engine to Cloud Monitoring, and use alerts to notify administrators.

29. You are tasked with designing a multi-region, highly available application architecture on Google Cloud Platform (GCP). The application requires low-latency access to a globally distributed relational database. Which GCP service would you recommend for achieving this requirement?

1. Bigtable

2. Cloud Spanner

3. Cloud SQL

4. Firestore

30. A company has decided to store their data in Cloud Storage and needs to estimate the costs. They expect to store 200 TB of data per month in a multi-regional bucket and the data will be stored for a year. Which of the following options is the most appropriate way to calculate the estimated costs of this data storage?

1. Use the Google Cloud Pricing Calculator by entering the number of GBs to be stored.

2. Use the Google Cloud Functions to calculate the cost.

3. Use the Google Cloud Console to estimate the costs.

4. Use the Storage Pricing Page directly to calculate costs.

31. You are working on a project in Google Kubernetes Engine (GKE) where you are required to upgrade the version of Kubernetes in the node pools. You want to minimize disruptions to running applications during the process. Which of the following strategies should you employ?

1. Create a new node pool with the desired Kubernetes version and migrate workloads gradually.

2. Use rolling updates by setting the maxUnavailable parameter to a high value.

3. Manually terminate all the pods before performing the upgrade.

4. Make no changes and rely on the automatic upgrades provided by GKE.

32. You are an associate cloud engineer and your team decided to use the Cloud Foundation Toolkit (CFT) to build infrastructure on Google Cloud Platform (GCP). Which of the following statements correctly describes the use of Cloud Foundation Toolkit templates?

1. CFT templates require manual changes in the GCP Console for deployment.

2. CFT templates only support deployment of compute resources.

3. CFT templates can be used to provision resources on other cloud platforms.

4. CFT templates allow you to create and manage resources as a group.

33. You are tasked with ensuring your organization's cloud storage solution on Google Cloud is cost-effective while maintaining high availability for frequently accessed data. Which service should you recommend?

1. Utilize Google Cloud Storage Coldline for frequently accessed data.

2. Implement Google Cloud Storage Multi-Regional for frequently accessed data.

3. Use Google Cloud Storage Nearline for all data.

4. Store all data in Persistent Disk for constant availability.

34. You are working as a cloud engineer for a multinational company that is planning to shift its operations to Google Cloud. You are tasked with setting up a database server. The server needs to be highly available and data redundancy is a top priority. Which storage option would you choose?

1. Regional SSD Persistent Disk

2. Nearline Storage

3. Cloud Storage for Firebase

4. Zonal SSD Persistent Disk

35. You have been tasked with setting up an alert in Google Cloud Monitoring for a specific Compute Engine instance that should trigger whenever the read latency of its persistent disks exceeds 10 ms for a period of 5 minutes. Which of the following steps should you take to achieve this?

1. Create a logging filter in Cloud Logging with the condition that disk read latency > 10 ms for 5 minutes and set the metric type as compute.googleapis.com/instance/disk/read_latency.

2. Create an alerting policy in Cloud Monitoring with the condition that disk read latency > 10 ms for 5 minutes and set the metric type as compute.googleapis.com/instance/disk/read_latency.

3. Create an alerting policy in Cloud Logging with the condition that disk read latency > 10 ms for 5 minutes and set the metric type as compute.googleapis.com/instance/disk/read_latency.

4. Create an alerting policy in Cloud Monitoring with the condition that disk read latency > 10 ms for 5 minutes and set the metric type as compute.googleapis.com/instance/disk/read_bytes_count.

36. Your organization uses BigQuery for sales and inventory data, and the sales team, now on Google Workspace Enterprise, needs updated reports. Currently, IT runs queries, exports to CSV, and emails the files. How can you streamline this while keeping the sales team on familiar tools?

1. Create a BigQuery scheduled query, save the results to a Google Sheets file, and share it with the sales team.

2. Build a Looker Studio (formerly Data Studio) report and share it with the sales team for analysis.

3. Run the queries in BigQuery and give the sales team access to a BigQuery table containing the query results.

4. Export the query results to a Cloud Storage bucket and share the bucket link with the sales team.

37 .Your organization is running machine learning training jobs on a Dataproc cluster. Each training task takes approximately 30 minutes to complete. You observe that shutting down idle worker nodes aggressively has caused the overall job completion time to increase. You want to reduce costs while ensuring the training job completes on time. What should you do?

1. Enable autoscaling and set aggressive downscaling policies.

2. Set a graceful decommissioning timeout greater than 30 minutes.

3. Use larger disk sizes for the worker nodes to handle more data.

4. Use Dataflow instead of Dataproc for the training job.

38. You have deployed a Google Cloud Bigtable database to manage your IoT sensor data. Over time, you notice an increase in latency during data queries, especially for certain key ranges. You want to diagnose and address the issue. What should you do?

1. Partition the Bigtable data using a new column family for faster access.

2. Use Key Visualizer to identify hotspot keys and review access patterns.

3. Use Cloud Profiler to analyze CPU and memory usage of the Bigtable cluster.

4. Scale the Bigtable cluster horizontally by adding more nodes.

39. You are deploying an application to App Engine and want to scale the number of instances based on request rate. You need at least 3 unoccupied instances all all time. What type of scaling should you use?

1. Automatic Scaling with min_idle_instances set to 3.

2. Manual Scaling with 3 instances.

3. Basic Scaling with min_instances set to 3.

4. Basic Scaling with max_instances set to 3.

40. A web application is running on App Engine. You created an update for this application and want to deploy this update without impacting users. If this update fails, you want to be able to roll back as quickly as possible. What should you do?

1. You should notify your users of an upcoming maintenance window and ask them not to use your application during that window. Then, deploy the update in that maintenance window.

2. You should deploy the update as a new version, then migrate traffic from the current version to the new version. If it fails, migrate the traffic back to your older version.

3. You should deploy the update as the same version that is currently running. If the update fails, redeploy your older version using the same version identifier.

4. You should deploy the update as the same version that is currently running because you are sure it won't fail.

41. An application has a large international user group and runs stateless virtual machines in a Managed Instance Group in multiple Google Cloud locations. One of the features of the application allows users to upload files and share them with other users. Files must be available for only 30 days. After 30 days they are completely removed from the system. Which storage solution should you choose?

1. Cloud Datastore

2. Cloud Storage (multi-regional bucket)

3. Persistent SSD on virtual machine instances

4. BigQuery

42. You need to manage your first GCP project. The project will involve product owners, developers and testers. You need to make sure that only specific members of the development team have access to sensitive information (PII data). To do this, you want to assign the appropriate IAM roles. What should you do?

1. You should create groups. Assign an IAM Predefined role to each group as required, including those who should have access to sensitive data. Than, assign users to groups.

2. You should create groups. Assign a Custom role to each group, including those who should have access to sensitive data. Then, assign users to groups.

3. You should create groups. Assign a basic role to each group, and then assign users to groups.

4. You should assign a basic role to each user.

43. Your web application needs to handle occasional bursts of traffic during marketing events, but otherwise has moderate, predictable traffic. To manage costs in Google Cloud while ensuring performance during traffic spikes, what should you do?

1. Configure GKE with a Vertical Pod Autoscaler (VPA) and Cluster Autoscaler for dynamic scaling.

2. Use Preemptible VMs with GKE to handle bursts of traffic, accepting the risk of preemption.

3. Reserve Compute Engine VM instances with enough capacity to handle the maximum expected traffic.

4. Implement a custom script that manually adds or removes GKE nodes based on anticipated event schedules.

44. You built a demand forecasting model for a grocery delivery service. The service experienced a surge in orders during holiday seasons, and the model's predictions are now inaccurate due to these periodic fluctuations. What steps should you take to improve the model's accuracy and avoid similar issues in the future?

1. Enhance the model by incorporating features that account for seasonal patterns and retrain it with updated data. Set up a process to periodically retrain the model.

2. Replace the model with a simpler rule-based system that adjusts for holidays.

3. Retrain the model using only data from the last holiday season.

4. Retrain the model with the original data and assume the seasonal fluctuations will average out.

45. Your company plans to use Google Cloud for a centralized logging and monitoring system. The compliance team needs access to view logs in Cloud Logging for auditing purposes but must not modify or delete logs. How should you assign permissions with minimal administrative overhead?

1. Grant read access to the logging bucket in Cloud Storage directly.

2. Assign roles/logging.admin to the compliance team.

3. Assign roles/logging.viewer to individual compliance team members.

4. Create a group for the compliance team and assign roles/logging.viewer to the group.

46. Your company is looking to deploy a new API on Google Cloud that will handle sporadic traffic, often experiencing periods of inactivity followed by sudden bursts of requests. The solution must scale automatically and remain cost-effective. Which service should you choose?

1. Deploy the API on Compute Engine instances managed by an instance group.

2. Use App Engine Flexible Environment to host the API.

3. Host the API using Kubernetes Engine with Horizontal Pod Autoscaling.

4. Implement the API on Cloud Functions with HTTP triggers.

47. Your organization needs to monitor changes to Cloud Storage buckets, such as file uploads, modifications, and deletions, and immediately trigger a workflow to process these changes. You want a serverless solution that requires minimal setup and maintenance. What should you do?

1. Enable Cloud Storage logs and create a custom script to monitor changes.

2. Use a Cloud Function triggered by Cloud Storage events to process changes.

3. Deploy an App Engine application to monitor Cloud Storage buckets and invoke the workflow.

4. Use Pub/Sub to poll for changes in the Cloud Storage buckets and invoke the workflow.

48. You are overseeing the deployment of a series of batch processing jobs that require substantial compute resources for a short duration at the end of each week. The solution must minimize costs while still delivering the necessary computational power when needed. What should you do?

1. Configure a Compute Engine instance template with preemptible VMs that can be used by an instance group.

2. Lease dedicated physical servers on Compute Engine to ensure resource availability for the jobs.

3. Set up a Compute Engine instance group with on-demand VMs that run continuously.

4. Use Cloud Functions to handle batch processing jobs, with scaling based on the workload.

49. A regular batch job transfers customer data from a CRM system to BigQuery dataset and uses several virtual machines. You can tolerate some virtual machines going down. What should you do to reduce the costs of this job?

1. You should use a fleet of e2-micro instances behind a Managed Instances Group with autoscaling enabled.

2. You should only use e2-standard-32 instances.

3. You should use preemptible compute engine instances.

4. You should only use e2-micro instances.

50. You are designing a Cloud Spanner database for employee information, with separate tables for employees, departments, and regions, connected by foreign keys. Managers report slow performance when accessing employee data by department and region. What should you do to improve performance based on Google-recommended practices?

1. Add indexes on the department and region foreign key columns in the employee table.

2. Denormalize the data by storing department and region details in the employee table.

3. Combine all employee, department, and region information into a single flat table.

4. Create interleaved tables, storing employees under departments and departments under regions.

51. You run a small startup and want to optimize costs in GCP. You need to research resource consumption charges and provide a summary of your expenses. You want to do it in the most efficient way. What should you do?

1. You should rename resources to reflect the purpose. Write a Python script to analyze resource consumption.

2. You should attach labels to resources to reflect the purpose. Than, export Cloud Billing data into BigQuery, and analyze it with Data Studio.

3. You should create a resource usage analysis script based on the project that the resources belong to. Use the IAM accounts and the service accounts that control the resources in this script.

4. You should assign tags to resources to reflect the purpose. Export Cloud Billing data into BigQuery, and analyze it with Data Studio.

52. You are tasked with deploying a scalable web application in Google Cloud that must automatically adjust to sudden spikes in traffic. Which service should you use to ensure that your application scales without manual intervention?

1. Deploy the application on a single Compute Engine instance and use an autoscaler.

2. Utilize App Engine with automatic scaling enabled for the application.

3. Set up a Cloud Function that deploys more instances of the application when traffic increases.

4. Create a Kubernetes cluster in GKE with Horizontal Pod Autoscaling configured.

53. You want to create a custom VPC with a single subnet. The range of the subnet must be as large as possible. What range should you use?

1. 10.0.0.0/8

2. 172.16.0.0/12

3. 192.168.0.0/16

4. 0.0.0.0/0

54. Your organization requires that every modification to Cloud Storage objects automatically triggers a script to validate the changes for compliance. This needs to be implemented with minimal manual effort and infrastructure management. What should you do?

1. Use Cloud Functions to automatically trigger the compliance script on storage object changes.

2. Enable Cloud Audit Logs for Storage and use a Python script to analyze logs and call the compliance script.

3. Manually monitor changes in the Cloud Console and run the compliance script when changes are detected.

4. Configure a Cloud Run service to monitor object changes and invoke the compliance script.

55. Your company's application needs to handle a growing volume of write and read requests on its database. The current single-instance database is struggling to keep up with the load. You need to redesign the database architecture for scalability and high availability. What is the best approach?

1. Migrate the database to Cloud Spanner to benefit from horizontal scaling and global distribution.

2. Implement a read replica for the current database and direct all read requests to the replica.

3. Transition to a Firestore database and distribute the load across multiple document collections.

4. Scale the current database instance vertically by increasing its CPU and memory resources.

56. A company is planning to migrate its existing on-premises infrastructure to the cloud. They have identified the following requirements: scalability, high availability, and cost optimization. Which of the following strategies would be most suitable for meeting these requirements?

1. Serverless architecture: Developing applications using serverless services to achieve automatic scaling, high availability, and pay-as-you-go pricing.

2. Containerization: Migrating applications to container platforms for increased scalability, isolation, and portability.

3. Multi-region deployment: Deploying the infrastructure across multiple regions to ensure redundancy and fault tolerance.

4. Lift and shift migration: Moving the existing infrastructure as-is to the cloud without making significant architectural changes.

57. Your Cloud Spanner database stores inventory data for a global e-commerce platform, with products organized by category and subcategory in separate tables linked by foreign keys. Frequent queries on these tables are causing performance bottlenecks. How can you optimize the database design for better query performance while following Google’s best practices?

1. Retain the current schema but add an index on the subcategory column.

2. Store categories and subcategories in a single cell as a comma-separated string.

3. Create interleaved tables, and store subcategories under their respective categories.

4. Denormalize the data by combining categories and subcategories into a single table.

58. You are tasked with deploying a new service in Google Cloud that must maintain high availability and fault tolerance. The service should remain operational even if one entire Google Cloud region becomes unavailable. How should you architect the service?

1. Use a managed instance group in a single region with the autoscaler set to maintain a fixed number of instances at all times.

2. Deploy the service in a single region and use preemptible VMs to ensure cost savings and high availability.

3. Set up the service across multiple zones within a single region and use a load balancer to distribute traffic.

4. Architect the service to be region-agnostic using global HTTP(S) load balancers and deploy it in at least two regions.

59. Your team is using Bigtable to store clickstream data from a high-traffic website. Recently, query performance has degraded significantly during peak traffic hours. You want to determine if the issue is related to schema design or data distribution. What should you do?

1. Enable Cloud Monitoring dashboards to identify slow queries.

2. Repartition your data using a composite primary key.

3. Analyze read/write patterns using Key Visualizer.

4. Use Cloud Debugger to identify bottlenecks in the schema design.

60. Your IT team uses BigQuery to store marketing campaign data. The marketing team wants to regularly analyze this data using spreadsheets without depending on the IT team for manual data exports. The team recently adopted Google Workspace Enterprise edition. How can you automate the process while allowing the marketing team to analyze the data independently?

1. Build a Looker Studio dashboard and embed it in a Google Sites page for the marketing team.

2. Schedule a BigQuery query to write results to a Google Sheets spreadsheet shared with the marketing team.

3. Use BigQuery to save query results to a Cloud SQL database and provide a connection to the marketing team.

4. Enable the marketing team to access raw BigQuery tables directly for analysis.

FAQs

1. What is Google Cloud Certified Associate Cloud Engineer?

It is an entry-level certification that validates your ability to deploy applications, monitor operations, and manage Google Cloud projects.

2. Is Google Associate Cloud Engineer certification worth it?

Yes, it's valuable for individuals starting a career in cloud computing and seeking foundational skills in Google Cloud Platform (GCP).

3. What are the benefits of becoming a Google Associate Cloud Engineer?

Benefits include increased job opportunities, foundational GCP knowledge, and eligibility for higher-level cloud certifications.

4. What does an Associate Cloud Engineer do?

They deploy applications, monitor cloud operations, and manage GCP environments.

5. Who should take the Google Cloud Associate Cloud Engineer certification?

Beginners in cloud, IT professionals, and developers aiming to build expertise in Google Cloud.

6. How difficult is the Google Associate Cloud Engineer exam?

It is considered moderately difficult and suitable for those with basic GCP experience or thorough study.

7. How many questions are on the Associate Cloud Engineer exam?

The exam contains around 50–60 questions.

8. What is the format of the Google Associate Cloud Engineer certification exam?

The exam consists of multiple-choice and multiple-select questions.

9. Is the Google Associate Cloud Engineer exam multiple choice?

Yes, it includes both multiple-choice and multiple-select questions.

10. What topics are covered in the Associate Cloud Engineer exam?

Topics include cloud infrastructure, IAM, storage, compute services, networking, and deployment.

11. How to prepare for the Google Associate Cloud Engineer certification?

Use CertiMaan's curated practice tests and follow Google Cloud's official training resources.

12. What are the best resources for Google Associate Cloud Engineer exam?

CertiMaan provides dumps and mock tests. Google Cloud offers hands-on labs and documentation.

13. Are there free practice tests for Associate Cloud Engineer certification?

Yes, CertiMaan and Google Cloud's official platform provide sample tests and study guides.

14. How long does it take to prepare for the Associate Cloud Engineer exam?

Most candidates prepare in 4 to 6 weeks with consistent effort.

15. Can I pass the Google Cloud Associate Cloud Engineer exam without experience?

Yes, with strong preparation using resources from CertiMaan and Google Cloud.

16. What is the cost of the Google Associate Cloud Engineer certification?

The exam costs $125 USD.

17. Are there any prerequisites for Google Associate Cloud Engineer?

No prerequisites, but some familiarity with GCP basics is recommended.

18. How do I register for the Google Cloud Associate Cloud Engineer exam?

You can register through Google Cloud’s official certification website.

19. Can I retake the Google Associate Cloud Engineer exam if I fail?

Yes, after a 14-day waiting period.

20. What is the passing score for Associate Cloud Engineer exam?

Google does not disclose an official passing score, but 70% is a common benchmark.

21. How is the Google Associate Cloud Engineer exam scored?

It uses a scaled scoring system and results are reported as pass or fail.

22. How long is the Google Cloud Associate certification valid?

The certification is valid for three years.

23. How do I renew my Google Cloud Associate Cloud Engineer certification?

You must retake the current version of the exam.

24. What is the average salary of a Google Associate Cloud Engineer?

The average salary ranges between $90,000 to $120,000 annually in the U.S.

25. What job roles can I get after passing Associate Cloud Engineer?

Roles include Cloud Engineer, Cloud Administrator, and GCP Support Specialist.

26. Does Google hire Associate Cloud Engineers?

Yes, Google and many top tech companies hire professionals with this certification.

27. Is Google Associate Cloud Engineer good for beginners?

Yes, it’s designed as a foundational certification for newcomers to cloud.

28. Can Associate Cloud Engineer certification lead to higher-level GCP certifications?

Yes, it’s a stepping stone to professional-level certifications like Cloud Architect or Data Engineer.