Google Associate Cloud Engineer : Associate-Cloud-Engineer Exam Questions

Exam Code: Associate-Cloud-Engineer
Exam Name: Google Associate Cloud Engineer Exam
Updated: Oct 07, 2026
Q&As: 410 Questions and Answers

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Taking the Google Associate Cloud Engineer exam is the perfect way to assess your abilities as well as enable and boost the skills you need to further your career. Besides, gaining a Google Cloud certification can help you stand out to hiring managers and unlock a variety of benefits from building a network with other professionals in the Google Cloud Certified community.

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Configuring Access & Security

The last module of the certification exam measures the skills of the learners in managing identity & access management (IAM). Besides that, they should know how to perform the management of service accounts. They also need to be able to view audit logs for the project as well as managed services.

Reference: https://cloud.google.com/certification/cloud-engineer

Google Associate Cloud Engineer Exam

An associated cloud engineer distributes applications, monitors operations and manages business solutions. This person can use the Google Cloud Console and the command-line interface to perform common platform-based activities to maintain one or more distributed solutions that take advantage of services managed or self-managed by Google in Google Cloud

The Google Cloud Certification Program offers Google Cloud users, customers and partners a way to demonstrate their technical skills in a specific role or technology. People are evaluated using a variety of rigorously developed standard methods to determine if they meet Google Cloud competition standards. The cost of certification exams varies. if you do not pass an exam, you can repeat it after 14 days. If you do not take it a second time, you must wait 60 days before you can take it a third time. If it fails a third time, you must wait a year before resuming it. You can try the test in several languages, but each attempt, regardless of language, counts the total number of attempts allowed and the waiting period between attempts remains valid. Payment is required each time an exam is taken. Avoiding this recovery policy by registering with a different name or any other means constitutes a violation of the terms and conditions of the exam and will result in the denial or revocation of a certification. Exams are designed to determine only if a person meets a minimum standard of approval or not. They are not meant to be diagnostic or spread people on a capacity scale. For this reason, numerical scores are not significant for the candidate and can be misunderstood. Google Cloud Certification Program recognizes that some other exam providers provide section comments on their exams. Google doesn't do it because it makes no sense and could be misleading. Google Cloud Certification tests are not designed to diagnose strengths and weaknesses. Google Cloud Certification exam sections are very broad categories of topics, and the range of specific questions that can be received for each section in a single exam session is extremely small in comparison. Based on such a small amount of data, there are no significant comments at the section level that we can provide responsibly. We follow the procedures accepted by the industry to ensure that our exams are valid and accurate. Our exam development process includes the following steps: A task analysis (JTA) is a formal study that begins with the identification of role representatives, technology experts and stakeholders. These experts are interviewed and interviewed in a seminar to obtain information about what people do in a particular job or role and what skills distinguish the skills. These skills are defined in the exam guides that we write on the web. Our question authors are subject matter experts who worked in the certified role. The question editors are trained in the exam standards and conventions that we apply to our exams. All questions are examined to determine if they meet the standards and are technically accurate. Once the questions have passed all warnings and approvals, they are published in a beta test. The purpose of the beta exam is to collect performance statistics related to the exam questions to determine which ones are the most effective. We review the statistics and comments on the questions and eliminate questions that do not meet our standards. The minimum score for each exam is reserved. It is determined by a group of internal and external experts in the field, following a process of setting standards accepted by the sector. The minimum score applies equally to all candidates. It is reevaluated when changes are made to the content of the exam. The delivery method for an exam depends on its format.

The Google Associate Cloud Engineer certification is designed to measure the candidates’ fundamental skills required to perform the deployment, monitoring, and maintenance of projects on Google Cloud. This certificate is a good starting point for those individuals who are new to Cloud and can be used as a stepping stone to the professional-level certifications of this vendor. To get certified, the applicants are required to complete one exam. The qualifying test measures the ability of the specialists to perform the following tasks: setting up the Cloud solution environment; planning and configuring Cloud solutions; deploying and implementing Cloud solutions; ensuring the effective operation of Cloud solutions; and configuring access & security.

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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Configuring Access and Security	15-20%	- Viewing audit logs 1. Configuring audit log policies 2. Accessing and analyzing Cloud Audit Logs - Managing service accounts 1. Using service account keys 2. Assigning service accounts to resources 3. Creating and managing service accounts - Managing IAM resources 1. Defining custom IAM roles 2. Applying IAM policies to resources 3. Creating and managing IAM roles
Topic 2: Planning and Configuring a Cloud Solution	20-25%	- Planning and configuring network resources 1. Designing VPC networks 2. Configuring load balancing and firewall rules - Planning and configuring data storage options 1. Choosing between Cloud Storage, Filestore, Persistent Disk 2. Selecting appropriate storage classes - Planning and estimating GCP product usage 1. Reading documentation for compute, storage, and network resources 2. Using GCP Pricing Calculator - Planning and configuring compute resources 1. Configuring persistent disks and local SSDs 2. Selecting appropriate machine types and zones
Topic 3: Deploying and Implementing a Cloud Solution	20-25%	- Deploying and managing Cloud Functions 1. Configuring triggers and environment variables 2. Creating and triggering Cloud Functions - Deploying and managing Cloud Run resources 1. Deploying containerized applications to Cloud Run 2. Configuring memory limits and scaling settings - Deploying applications with Cloud Deployment Manager 1. Creating deployment configurations 2. Using templates for resource provisioning - Deploying and managing Compute Engine resources 1. Creating and managing managed instance groups 2. Creating and managing instances with startup scripts 3. Creating and managing custom machine types - Deploying and managing Kubernetes Engine resources 1. Configuring kubectl for cluster access 2. Creating and managing GKE clusters 3. Deploying workloads with Deployments and Services
Topic 4: Setting Up a Cloud Solution Environment	20-25%	- Setting up cloud projects and accounts 1. Managing billing budgets and alerts 2. Assigning IAM roles to users and groups 3. Creating and managing projects - Managing billing configuration 1. Setting up budget alerts and notifications 2. Linking billing to projects 3. Creating billing accounts
Topic 5: Ensuring Successful Operation	15-20%	- Managing Compute Engine resources 1. Attaching and detaching disks 2. Managing instances, disks, and snapshots 3. Resizing instances and persistent disks - Managing logging and monitoring 1. Creating metrics and alerts 2. Using Cloud Monitoring and Logging 3. Viewing and analyzing logs - Managing Cloud Run resources 1. Configuring resource limits 2. Managing revisions and traffic splitting - Managing Kubernetes Engine resources 1. Scaling clusters and node pools 2. Managing workloads (Deployments, Services, HPA) 3. Upgrading clusters - Managing storage and data solutions 1. Configuring CORS and encryption 2. Setting lifecycle policies 3. Managing Cloud Storage buckets and objects