The Google Associate Cloud Engineer exam is part of the Google Cloud Certified certification path and is designed for professionals who want to validate their ability to deploy, manage, and operate cloud solutions on Google Cloud. It is well suited for candidates who work with cloud environments and need practical knowledge of core Google Cloud tasks. Earning this certification shows that you can handle essential cloud operations with confidence and consistency.
| # | Exam Topics | Sub-Topics | Approximate Weightage (%) |
|---|---|---|---|
| 1 | Setting up a cloud solution environment | Creating projects, configuring billing, setting up Cloud Shell, enabling APIs and services | 15% |
| 2 | Planning and configuring a cloud solution | Selecting compute and storage services, choosing regions and zones, planning network design, estimating resource needs | 20% |
| 3 | Deploying and implementing a cloud solution | Deploying virtual machines, working with containers, using storage options, implementing application services | 25% |
| 4 | Ensuring successful operation of a cloud solution | Monitoring resources, managing logs, troubleshooting deployments, optimizing performance and availability | 20% |
| 5 | Configuring access and security | Managing IAM roles, service accounts, access policies, securing resources and data | 20% |
This exam tests more than memorization. It checks whether you can apply Google Cloud concepts in real scenarios, configure services correctly, manage access and security, and keep a cloud solution running successfully. Candidates need practical knowledge, problem-solving ability, and familiarity with common Google Cloud tasks to perform well.
QA4Exam.com offers Exam PDF content with actual questions and answers plus an Online Practice Test that helps you prepare for the Google Associate-Cloud-Engineer exam effectively. The practice format gives you a real exam simulation so you can get comfortable with the question style and pacing before test day. You also benefit from up-to-date questions and verified answers, which can improve your confidence and reduce surprises. In addition, the timed practice test helps you build time management skills so you are better prepared to pass on your first attempt.
It is intended for people who want to validate practical Google Cloud skills, especially those working with cloud deployment, configuration, and daily operations.
The exam is generally suitable for candidates who have studied Google Cloud and have hands-on familiarity with basic cloud tasks, but the key requirement is preparation and readiness.
The exam can be challenging because it tests practical knowledge, not just theory. Candidates who understand Google Cloud services and practice real scenarios usually find it more manageable.
Braindumps alone are not enough for most candidates. They are best used as a study aid along with hands-on practice and review of core Google Cloud concepts.
Yes, hands-on experience is very helpful because the exam focuses on applying knowledge in practical situations, including deployment, security, and operations.
They are a strong preparation tool because they provide actual questions and answers, real exam simulation, and verified content, but combining them with hands-on learning gives the best chance of passing on the first attempt.
The Online Practice Test is designed to simulate the exam experience with updated questions, answers, and timing practice so you can improve both accuracy and speed.
Yes, the Exam PDF can help you review weak areas and reinforce key topics if you need to retake or want to improve your readiness before scheduling the exam again.
You are the project owner of a GCP project and want to delegate control to colleagues to manage buckets and files in Cloud Storage. You want to follow Google-recommended practices. Which IAM roles should you grant your colleagues?
Storage Admin (roles/storage.admin) Grants full control of buckets and objects.
When applied to an individual bucket, control applies only to the specified bucket and objects within the bucket.
firebase.projects.get
resourcemanager.projects.get
resourcemanager.projects.list
storage.buckets.*
storage.objects.*
https://cloud.google.com/storage/docs/access-control/iam-roles
This role grants full control of buckets and objects. When applied to an individual bucket, control applies only to the specified bucket and objects within the bucket.
Ref:https://cloud.google.com/iam/docs/understanding-roles#storage-roles
Your company runs its Linux workloads on Compute Engine instances. Your company will be working with a new operations partner that does not use Google Accounts. You need to grant access to the instances to your operations partner so they can maintain the installed tooling. What should you do?
IAP controls access to your App Engine apps and Compute Engine VMs running on Google Cloud. It leverages user identity and the context of a request to determine if a user should be allowed access. IAP is a building block toward BeyondCorp, an enterprise security model that enables employees to work from untrusted networks without using a VPN.
By default, IAP uses Google identities and IAM. By leveraging Identity Platform instead, you can authenticate users with a wide range of external identity providers, such as:
Email/password
OAuth (Google, Facebook, Twitter, GitHub, Microsoft, etc.)
SAML
OIDC
Phone number
Custom
Anonymous
This is useful if your application is already using an external authentication system, and migrating your users to Google accounts is impractical.
https://cloud.google.com/iap/docs/using-tcp-forwarding#grant-permission
You received a JSON file that contained a private key of a Service Account in order to get access to several resources in a Google Cloud project. You downloaded and installed the Cloud SDK and want to use this private key for authentication and authorization when performing gcloud commands. What should you do?
Authorizing with a service account
gcloud auth activate-service-account authorizes access using a service account. As with gcloud init and gcloud auth login, this command saves the service account credentials to the local system on successful completion and sets the specified account as the active account in your Cloud SDK configuration.
https://cloud.google.com/sdk/docs/authorizing#authorizing_with_a_service_account
(You manage a VPC network in Google Cloud with a subnet that is rapidly approaching its private IP address capacity. You expect the number of Compute Engine VM instances in the same region to double within a week. You need to implement a Google-recommended solution that minimizes operational costs and does not require downtime. What should you do?)
Comprehensive and Detailed In Depth
The problem states that a subnet is nearing its IP address capacity, and the requirement is to expand it without downtime and with minimal operational cost, following Google-recommended practices.
A . Creating a second VPC with the same subnet IP range and peering: While VPC Network Peering allows communication between VPCs, having overlapping IP ranges is generally not recommended and can lead to routing complexities if not managed carefully. It also adds operational overhead of managing two VPCs. This is not the most straightforward or cost-effective solution for simply expanding IP capacity within the same logical network.
B . Deleting and recreating the subnet: Deleting a subnet that contains active VM instances will cause downtime for those instances, violating a key requirement.
C . Using the Google Cloud CLI tool to expand the primary IP range of your subnet: Google Cloud allows you to expand the primary IP range of an existing subnet after it's created, as long as there are no conflicting subnets in the VPC. This operation does not require deleting the subnet or restarting the existing VMs within it, thus avoiding downtime. It's a direct and cost-effective way to increase the available IP address space within the existing subnet. This is a Google-recommended practice for handling subnet capacity issues.
D . Permitting additional traffic with firewall rules: Firewall rules control network traffic based on IP ranges, protocols, and ports. They do not increase the number of available private IP addresses within the subnet. This option does not address the core issue of IP address exhaustion.
Therefore, expanding the primary IP range of the existing subnet using the Google Cloud CLI is the recommended solution that meets all the requirements: addressing IP capacity, minimizing operational costs, and avoiding downtime.
Google Cloud Documentation Reference:
Expanding Subnet IP Ranges: https://cloud.google.com/vpc/docs/expand-subnet - This documentation explicitly describes how to expand the IP range of an existing subnet without downtime. It outlines the prerequisites and steps involved using the gcloud CLI or the Google Cloud Console.
VPC Network Overview: https://cloud.google.com/vpc/docs/vpc - Provides context on subnet IP ranges and their management.
===========
After a recent security incident, your startup company wants better insight into what is happening in the Google Cloud environment. You need to monitor unexpected firewall changes and instance creation. Your company prefers simple solutions. What should you do?
Full Exam Access, Actual Exam Questions, Validated Answers, Anytime Anywhere, No Download Limits, No Practice Limits
Get All 363 Questions & Answers