GCP Certified Associate Cloud Engineer Sample Questions For ACE‑001 Certification Exam
- CertiMaan
- Sep 26, 2025
- 24 min read
Updated: May 29
The Google Cloud Google Cloud Certified Associate Cloud Engineer Certification ( GCP-ACE ) is one of the most recognized entry-to-intermediate cloud certifications for IT professionals who want to validate their ability to deploy, manage, and operate cloud solutions using Google Cloud Google Cloud Platform ( GCP ). This certification is designed to measure practical cloud administration skills, including configuring cloud environments, managing compute resources, setting up networking, monitoring infrastructure, and implementing security and access controls within Google Cloud ecosystems.
The GCP-ACE certification is ideal for cloud engineers, system administrators, DevOps professionals, infrastructure specialists, support engineers, and beginners who want to build a strong foundation in cloud computing and Google Cloud technologies. It is also highly valuable for professionals transitioning from traditional infrastructure management into modern cloud operations and automation-focused roles.
This page provides a structured collection of Google Cloud Certified Associate Cloud Engineer certification sample questions, exam-focused preparation guidance, practical study insights, and certification readiness strategies aligned with the latest Google Cloud exam objectives. These practice questions are designed to help learners improve conceptual understanding, strengthen hands-on cloud administration skills, and become familiar with real exam-style scenarios commonly seen in the GCP-ACE certification exam.
Using practice questions effectively can significantly improve exam confidence and readiness. Instead of memorizing answers, certification aspirants should focus on understanding core cloud concepts such as IAM, Compute Engine, Kubernetes Engine, Cloud Storage, networking, monitoring, logging, and deployment operations. Regular practice also helps identify weak areas, improve time management, and strengthen troubleshooting abilities required in real-world cloud environments.
As cloud adoption continues to grow across industries, the Google Cloud Certified Associate Cloud Engineer Certification has become an important credential for professionals seeking career growth in cloud engineering, cloud operations, infrastructure automation, and platform administration roles within modern enterprise environments.
Table of Contents
Google Cloud Certified Associate Cloud Engineer ( GCP-ACE ) - Exam Details
Exam Detail | Information |
Certification | Google Cloud Certified Associate Cloud Engineer |
Exam Code | GCP-ACE |
Provider | Google Cloud Google Cloud |
Exam Level | Associate Level |
Exam Format | Multiple-choice & Multiple-select Questions |
Total Questions | Approximately 50 Questions |
Exam Duration | 120 Minutes |
Passing Score | Google does not officially disclose the exact passing score |
Exam Delivery | Online Proctored & Test Center |
Exam Cost | Approximately USD $125 (plus applicable taxes) |
Certification Validity | 3 Years |
Recommended Experience | 6+ months hands-on experience with Google Cloud recommended |
Difficulty Level | Beginner to Intermediate |
Languages Available | English, Japanese, Spanish, Portuguese and more |
Key Technologies Covered | Compute Engine, IAM, Cloud Storage, VPC, Kubernetes Engine, Monitoring, Logging, Deployment Management |
Ideal For | Cloud Engineers, System Administrators, DevOps Engineers, Infrastructure Engineers, IT Professionals |
Core Skills Validated | Deploying applications, managing cloud infrastructure, monitoring operations, configuring networking, implementing security controls |
Official Exam Platform | Google Cloud Certification Program |
Exam Focus Areas | Setting up cloud environments, configuring access, managing services, monitoring infrastructure, maintaining cloud solutions |
The Google Cloud Certified Associate Cloud Engineer certification exam focuses heavily on practical cloud administration and operational skills. Candidates are expected to understand how to deploy workloads, configure virtual machines, manage storage, work with Kubernetes clusters, monitor cloud environments, and implement secure access management using Google Cloud services. The exam also evaluates troubleshooting abilities and real-world operational decision-making within cloud-native environments.
How to Prepare for the Google Cloud Certified Associate Cloud Engineer ( GCP-ACE ) Certification Exam
Preparing for the Google Cloud Google Cloud Certified Associate Cloud Engineer (GCP-ACE) certification requires a combination of conceptual understanding, hands-on cloud practice, and consistent exposure to real-world deployment scenarios. Since the exam focuses heavily on operational cloud tasks, candidates should prioritize practical learning instead of relying only on theoretical reading.
Start by understanding the core Google Cloud services covered in the exam blueprint. Focus on foundational topics such as Compute Engine, Virtual Private Cloud (VPC), Cloud Storage, Identity and Access Management (IAM), Kubernetes Engine (GKE), Cloud SQL, monitoring tools, logging systems, and deployment operations. Candidates should clearly understand how Google Cloud resources are created, managed, secured, and monitored within enterprise environments.
Hands-on practice is one of the most important preparation strategies for the GCP-ACE certification. Build small cloud projects using the Google Cloud free tier or sandbox labs. Practice creating virtual machines, configuring firewall rules, deploying applications, managing IAM roles, setting up storage buckets, creating Kubernetes clusters, and using Cloud Shell. Real cloud interaction improves troubleshooting confidence and helps candidates understand operational workflows more effectively than passive study methods.
Practice exams and certification sample questions play a critical role in exam preparation. Instead of memorizing answers, focus on understanding why a particular solution is correct. Scenario-based questions in the GCP-ACE exam often test practical decision-making, cost optimization, security configuration, deployment strategies, and service selection. Regular practice helps improve time management and identifies weak areas that require additional revision.
Candidates should also use official Google Cloud learning resources, documentation, architecture guides, and hands-on labs. Reviewing real deployment examples and cloud administration workflows can significantly improve practical readiness for the certification exam.
A strong preparation strategy should include:
Daily hands-on cloud practice
Mock exams and timed practice sessions
Revision of core Google Cloud services
Understanding IAM and networking concepts
Monitoring and logging practice
Kubernetes and deployment basics
Weak area analysis after every practice session
Consistent preparation combined with practical cloud experience can greatly improve confidence and exam readiness for aspiring cloud engineers pursuing the Google Cloud Certified Associate Cloud Engineer certification.
Reviewed & Verified by CertiMaan Certification Support Team
This Google Cloud Certified Associate Cloud Engineer (GCP-ACE) certification sample questions page has been carefully reviewed by the CertiMaan Certification Support Team to ensure accuracy, relevance, and alignment with the latest Google Cloud Google Cloud certification objectives. The practice questions, preparation insights, and exam-focused explanations provided on this page are designed to help certification aspirants strengthen cloud engineering concepts, improve operational understanding, and prepare confidently for the Associate Cloud Engineer certification exam.
Our review process focuses on validating technical accuracy, cloud administration relevance, practical deployment scenarios, and alignment with current Google Cloud platform services commonly tested in the certification exam. The content is continuously evaluated against evolving Google Cloud technologies, infrastructure management practices, cloud security standards, networking concepts, monitoring workflows, and deployment methodologies used in modern enterprise cloud environments.
The CertiMaan Certification Support Team also reviews real-world cloud engineering responsibilities associated with Google Cloud administration roles to ensure that learners gain practical preparation value beyond theoretical exam study. This approach helps candidates improve troubleshooting skills, infrastructure management understanding, deployment confidence, and operational decision-making abilities relevant to real production cloud environments.
The questions and learning guidance on this page are intended for:
Cloud Engineers
DevOps Professionals
Infrastructure Administrators
System Engineers
IT Support Specialists
Cloud Operations Teams
Beginners entering cloud computing careers
Topics Reviewed
Google Compute Engine
Google Kubernetes Engine (GKE)
Identity and Access Management (IAM)
Virtual Private Cloud (VPC)
Cloud Storage
Cloud Monitoring & Logging
Cloud Deployment Operations
Networking & Firewall Rules
Security & Access Controls
Resource Management
Kubernetes Basics
Cost Optimization Concepts
Cloud Administration Workflows
Our goal is to provide trustworthy, educational, and exam-relevant certification preparation content that supports both certification success and practical cloud engineering skill development.
Career Benefits of the Google Cloud Certified Associate Cloud Engineer ( GCP-ACE )
The Google Cloud Google Cloud Certified Associate Cloud Engineer (GCP-ACE) certification can significantly strengthen your career path in modern cloud computing and infrastructure management. As organizations continue migrating applications, data platforms, and enterprise workloads to cloud-native environments, the demand for professionals with practical Google Cloud administration skills continues to grow across industries such as finance, healthcare, retail, telecommunications, software development, and enterprise IT services.
One of the biggest advantages of earning the GCP-ACE certification is industry-recognized skill validation. The certification demonstrates that you can deploy applications, manage cloud resources, configure networking, monitor operations, implement security controls, and maintain cloud infrastructure using Google Cloud technologies. This helps employers identify candidates who possess practical operational knowledge instead of only theoretical cloud awareness.
The certification is especially valuable for professionals targeting roles such as:
Associate Cloud Engineer
Cloud Support Engineer
Cloud Administrator
DevOps Engineer
Infrastructure Engineer
Site Reliability Engineer (SRE)
Platform Operations Engineer
Junior Cloud Architect
Technical Support Engineer
Cloud Operations Specialist
The GCP-ACE certification also builds a strong foundation for advanced cloud certifications and specialized career paths. After gaining experience, many professionals continue toward advanced Google Cloud certifications related to cloud architecture, security engineering, machine learning, DevOps engineering, data engineering, and Kubernetes administration.
Another major benefit is improved practical cloud readiness. The certification preparation process encourages hands-on learning with real cloud environments, including virtual machines, Kubernetes clusters, cloud networking, IAM policies, monitoring systems, deployment automation, and storage services. These operational skills are directly applicable in real-world enterprise projects and modern DevOps workflows.
From an employer perspective, certified professionals often stand out during hiring processes because cloud certifications demonstrate continuous learning, technical commitment, and platform familiarity. Organizations adopting multi-cloud and hybrid-cloud strategies increasingly prefer professionals who can work confidently with cloud infrastructure management tools and cloud-native deployment environments.
The Google Cloud Certified Associate Cloud Engineer certification is also highly beneficial for beginners transitioning into cloud computing careers. It provides a structured learning path that helps IT professionals move from traditional infrastructure management into scalable cloud operations and automation-focused roles aligned with modern enterprise technology demands.
Overall, the GCP-ACE certification serves as a strong starting point for building long-term expertise in cloud engineering, infrastructure operations, DevOps practices, and cloud-native solution management within the rapidly growing cloud computing ecosyste
40+ Google Cloud Certified Associate Cloud Engineer Certification Exam 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?
Store raw sensor data in Cloud Storage, use Dataflow to process it, and save the results in BigQuery.
Stream sensor data into Pub/Sub, process it with Cloud Dataflow, and output to BigQuery.
Write sensor data to Cloud SQL, set up database triggers to process data, and query with SQL for analysis.
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?
Create multiple budget alerts at 70%, 80%, 90%, and 100% of the budget using the GCP console.
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.
Use Cloud Monitoring to monitor resource usage and manually notify the CFO when the usage reaches 70% and increases by 10% after that.
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?
TCP Proxy Load Balancer
HTTP(S) Load Balancer
Network Load Balancer
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?
Use persistent disk storage to ensure job progress is saved across interruptions.
Disable preemptible instances entirely to avoid interruptions.
Set a graceful decommissioning timeout to allow tasks to finish before shutting down.
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?
Provision a Cloud Interconnect - Dedicated connection for a direct physical link.
Implement Cloud CDN to optimize network latency and increase throughput.
Use Cloud VPN with a high-availability configuration to ensure a stable connection.
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?
Create two groups, assign roles/iam.serviceAccountUser to the customer service group, and a custom role with necessary permissions to the developer group.
Create two groups, assign roles/viewer to the customer service group, and roles/editor to the developer group.
Assign roles/viewer to the customer service team and roles/editor to the developers individually.
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.
Assign the Viewer role to "service-account-1" at the project level of the project that owns "bucket-1".
Assign the Storage Object Viewer role to "service-account-1" specifically on "bucket-1".
Create a new custom role with all storage permissions and assign it to "service-account-1" at the project level.
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?
Assign multiple ephemeral internal IP addresses to distribute the load.
Associate the instance with a static internal IP address only.
Associate the instance with an ephemeral internal IP address only.
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?
Use a Cloud Pub/Sub topic to capture database changes and invoke the compliance process through a subscriber.
Run a periodic Python script to query changes from the database and call the compliance process.
Use Cloud Functions to trigger the compliance process when a database change is logged.
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?
Enable Pub/Sub notifications for all billing data and set up a Cloud Function to write these notifications into Firestore for analysis.
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.
Use Cloud Billing Account API to export daily billing data to a Google Sheets document for analysis.
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?
Assign all team members the Owner role to simplify permissions management.
Regularly create and review audit logs to track service usage.
Only use single-zone storage for critical data to minimize storage costs.
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?
Use a third-party VPN service without Cloud VPN or Cloud Router.
Create a VPN tunnel in the Google Cloud Console and use static IP addressing for the external network.
Use Cloud VPN and Cloud Router to dynamically manage VPN routes between the Google VPC and the external network.
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?
Deploy the application on Cloud Run to auto-scale and pay only for the compute seconds used.
Store the data in Firestore for real-time processing and easy scalability.
Implement a relational database on Cloud SQL with vertical scaling to manage workload spikes.
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?
Write a Python script that polls BigQuery datasets for changes and triggers the notification process.
Enable Cloud Audit Logs for BigQuery and create a custom monitoring script to analyze logs.
Set up a scheduled query to run periodically and log any changes to the dataset.
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?
Use in-memory storage options like Memcached.
Use Kubernetes ephemeral volumes.
Store data in the container's local file system.
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?
Cloud Functions
Cloud Pub/Sub
Cloud BigQuery
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?
Assign roles/viewer to the analytics team.
Create a group for the analytics team and assign roles/bigquery.dataViewer to the group.
Enable the BigQuery public dataset feature and provide access to the team.
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.
Create a new service account with the roles/pubsub.editor role and associate it with the Compute Engine instance.
Assign the roles/pubsub.publisher role to the Compute Engine's default service account.
Create a new service account with the roles/pubsub.admin role and associate it with the Compute Engine instance.
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?
Implement an SSL proxy to handle SSL certificates outside of GCP services.
Use Google-managed SSL certificates in conjunction with Google Cloud Load Balancing.
Manually install a self-signed SSL certificate directly on your Compute Engine VM.
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?
Scale up your instances in a different zone within the same region.
Migrate your instances to a different machine type in the same region.
Wait and try to scale up your instances later when resources might be available.
Contact Google support to request additional resources in the region.
Exam Tips for the Google Cloud Certified Associate Cloud Engineer ( GCP-ACE )
Preparing for the Google Cloud Google Cloud Certified Associate Cloud Engineer (GCP-ACE) exam becomes much easier when candidates combine practical cloud experience with a structured exam strategy. Since the certification focuses on real-world cloud administration tasks, understanding operational workflows is often more important than memorizing definitions.
One of the most effective exam preparation tips is to thoroughly understand the exam pattern and question style. The GCP-ACE certification includes scenario-based multiple-choice and multiple-select questions that test practical decision-making within Google Cloud environments. Many questions focus on choosing the most efficient, secure, scalable, or cost-effective solution for a cloud deployment scenario.
Candidates should prioritize hands-on practice with core Google Cloud services, including:
Compute Engine
Google Kubernetes Engine (GKE)
IAM
Cloud Storage
VPC Networking
Cloud Monitoring
Logging & Operations Suite
Deployment configurations
Practical experience helps improve troubleshooting confidence and makes scenario-based questions easier to analyze during the exam.
Time management is another critical success factor. During practice sessions, simulate real exam conditions using timed mock exams. Avoid spending too much time on difficult questions initially. A smart strategy is to answer easier questions first, mark complex questions for review, and revisit them later with remaining time.
Candidates should also pay close attention to IAM permissions, networking concepts, and Kubernetes basics because these areas frequently appear in the exam. Understanding how services interact within a Google Cloud environment can help eliminate incorrect answer choices more efficiently.
Additional preparation tips include:
Review Google Cloud documentation summaries regularly
Practice cloud deployment workflows multiple times
Analyze mistakes after every mock exam
Focus on weak technical areas systematically
Learn common cloud troubleshooting methods
Understand cost optimization and security best practices
Practice interpreting cloud architecture scenarios
Avoid relying entirely on memorization or shortcut-based preparation methods. The GCP-ACE exam is designed to validate practical cloud engineering capability rather than simple theoretical recall. Candidates who actively build and manage cloud resources during preparation usually perform much better during the actual certification exam.
Finally, maintain confidence during the exam. Read each scenario carefully, identify the key technical requirement, eliminate obviously incorrect answers, and focus on selecting the solution that aligns best with Google Cloud operational best practices. Consistent preparation, practical exposure, and regular mock exam practice can significantly improve certification success rates and overall cloud engineering readiness.
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?
Regularly monitor access logs with Cloud Audit Logs to ensure data does not leave the region.
Utilize Resource Labels to mark the datasets and create a policy that prevents data transfer outside the specified region.
Implement an Organization Policy that restricts resource locations to the specified region.
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?
Create a private managed zone and enable DNSSEC for the zone.
Create a public managed zone and set up a Cloud DNS peering policy.
Create a public managed zone and enable DNSSEC for the zone.
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?
Create a custom role with view-only permissions and assign it to the HR department group.
Assign roles/viewer to the HR department group.
Assign roles/bigquery.dataViewer to the HR department group.
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?
Your GCP project has reached the logging quota. You need to request for quota increase.
The log entries have reached their retention period and are deleted. You need to increase the retention period.
The Cloud Logging agent is not configured correctly or not installed. You need to ensure the agent is installed and configured properly.
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?
Retrain the model with data collected during the first month of the platform's launch.
Collect more user feedback and delay retraining until at least one year of data is available.
Retrain the model with recent data reflecting current preferences and trends. Implement a process to monitor model performance and retrain periodically.
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?
Create a Compute Engine instance template and manually replicate it across different zones.
Utilize regional managed instance groups to distribute instances across multiple zones within a region.
Deploy the application across multiple instances within a single zone and use instance groups.
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?
Utilize App Engine standard environment for automatic scaling based on traffic.
Use Compute Engine with preemptible VMs to handle the web application traffic.
Deploy the application on a single large Compute Engine VM that is manually scaled during events.
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?
Configure Cloud Logging to monitor for the specific log entries and trigger a Cloud Function when detected.
Use a cron job on each instance to periodically send logs to an analysis service like BigQuery.
Write a custom script on each instance to send logs to Pub/Sub and analyze them with a Cloud Function.
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?
Bigtable
Cloud Spanner
Cloud SQL
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?
Use the Google Cloud Pricing Calculator by entering the number of GBs to be stored.
Use the Google Cloud Functions to calculate the cost.
Use the Google Cloud Console to estimate the costs.
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?
Create a new node pool with the desired Kubernetes version and migrate workloads gradually.
Use rolling updates by setting the maxUnavailable parameter to a high value.
Manually terminate all the pods before performing the upgrade.
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?
CFT templates require manual changes in the GCP Console for deployment.
CFT templates only support deployment of compute resources.
CFT templates can be used to provision resources on other cloud platforms.
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?
Utilize Google Cloud Storage Coldline for frequently accessed data.
Implement Google Cloud Storage Multi-Regional for frequently accessed data.
Use Google Cloud Storage Nearline for all data.
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?
Regional SSD Persistent Disk
Nearline Storage
Cloud Storage for Firebase
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?
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.
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.
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.
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?
Create a BigQuery scheduled query, save the results to a Google Sheets file, and share it with the sales team.
Build a Looker Studio (formerly Data Studio) report and share it with the sales team for analysis.
Run the queries in BigQuery and give the sales team access to a BigQuery table containing the query results.
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?
Enable autoscaling and set aggressive downscaling policies.
Set a graceful decommissioning timeout greater than 30 minutes.
Use larger disk sizes for the worker nodes to handle more data.
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?
Partition the Bigtable data using a new column family for faster access.
Use Key Visualizer to identify hotspot keys and review access patterns.
Use Cloud Profiler to analyze CPU and memory usage of the Bigtable cluster.
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?
Automatic Scaling with min_idle_instances set to 3.
Manual Scaling with 3 instances.
Basic Scaling with min_instances set to 3.
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?
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.
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.
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.
You should deploy the update as the same version that is currently running because you are sure it won't fail.
Frequently Asked Questions ( FAQs ) — Google Cloud Certified Associate Cloud Engineer (GCP-ACE)
1. What is the Google Cloud Certified Associate Cloud Engineer certification?
The Google Cloud Certified Associate Cloud Engineer certification validates a candidate’s ability to deploy applications, manage cloud infrastructure, configure security settings, monitor operations, and work with core Google Cloud Google Cloud services in real-world cloud environments.
2. Who should take the GCP-ACE certification exam?
The certification is ideal for:
Cloud Engineers
System Administrators
DevOps Professionals
Infrastructure Engineers
IT Support Engineers
Beginners entering cloud computing careers
Professionals transitioning from on-premise infrastructure to cloud platforms
3. Is the Google Cloud Associate Cloud Engineer certification difficult?
The GCP-ACE certification is considered beginner-to-intermediate level, but the exam can be challenging for candidates without hands-on Google Cloud experience. Practical cloud administration skills and familiarity with real deployment scenarios significantly improve exam readiness.
4. What topics are covered in the GCP-ACE certification exam?
The exam commonly covers:
Compute Engine
Kubernetes Engine (GKE)
IAM
Cloud Storage
VPC Networking
Monitoring & Logging
Resource Deployment
Security Configuration
Cloud Operations
Troubleshooting
Cost Optimization basics
5. How many questions are included in the GCP-ACE exam?
The Google Cloud Associate Cloud Engineer certification exam generally contains around 50 multiple-choice and multiple-select questions.
6. What is the duration of the Google Cloud Associate Cloud Engineer exam?
The exam duration is approximately 120 minutes.
7. Does Google officially disclose the passing score for the GCP-ACE exam?
No. Google Cloud Google Cloud does not publicly disclose the exact passing score for the Associate Cloud Engineer certification exam.
8. How much does the Google Cloud Associate Cloud Engineer certification exam cost?
The official exam fee is approximately USD $125, excluding taxes. Pricing may vary slightly based on region and local taxes.
9. Is hands-on experience necessary for passing the GCP-ACE certification?
Yes. Hands-on experience is highly recommended because the exam focuses heavily on practical cloud administration tasks, deployment workflows, troubleshooting, networking, IAM configuration, and operational management.
10. How should I prepare for the Google Cloud Associate Cloud Engineer certification?
A strong preparation strategy should include:
Hands-on Google Cloud practice
Mock exams and sample questions
Official Google Cloud documentation
Cloud labs and deployment exercises
IAM and networking practice
Kubernetes basics
Monitoring and logging workflows
11. Are practice questions useful for the GCP-ACE certification exam?
Yes. Practice questions help candidates understand exam patterns, improve time management, strengthen scenario analysis skills, and identify weak technical areas requiring additional study.
12. Is the Google Cloud Associate Cloud Engineer certification worth it in 2026?
Yes. As cloud adoption continues growing globally, the GCP-ACE certification remains highly valuable for professionals seeking careers in cloud engineering, DevOps, cloud operations, infrastructure automation, and platform administration.
13. What job roles can I apply for after earning the GCP-ACE certification?
Common career roles include:
Associate Cloud Engineer
Cloud Administrator
DevOps Engineer
Infrastructure Engineer
Cloud Support Engineer
Site Reliability Engineer (SRE)
Platform Operations Engineer
14. How long is the Google Cloud Associate Cloud Engineer certification valid?
The certification is generally valid for 3 years from the certification date.
15. Where can I book the Google Cloud Associate Cloud Engineer certification exam?
Candidates can schedule the exam through the official Google Cloud certification registration portal and approved testing providers.
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