Associate-Cloud-Engineer최신시험공부자료, Associate-Cloud-Engineer완벽한인증덤프

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Google Associate-Cloud-Engineer Exam Syllabus Topics:

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

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최신 Google Cloud Certified Associate-Cloud-Engineer 무료샘플문제 (Q180-Q185):

질문 # 180
You are developing a new web application that will be deployed on Google Cloud Platform. As part of your release cycle, you want to test updates to your application on a small portion of real user traffic. The majority of the users should still be directed towards a stable version of your application. What should you do?

A. Deploy me application on App Engine For each update, create a new version of the same service Configure traffic splitting to send a small percentage of traffic to the new version
B. Deploy the application on Kubernetes Engine For a now release, create a new deployment for the new version Update the service e to use the now deployment.
C. Deploy the application on App Engine For each update, create a new service Configure traffic splitting to send a small percentage of traffic to the new service.
D. Deploy the application on Kubernetes Engine For a new release, update the deployment to use the new version

정답：A

설명：
Explanation
Keyword, Version, traffic splitting, App Engine supports traffic splitting for versions before releasing.

질문 # 181
Your company set up a complex organizational structure on Google Cloud. The structure includes hundreds of folders and projects. Only a few team members should be able to view the hierarchical structure. You need to assign minimum permissions to these team members, and you want to follow Google-recommended practices.
What should you do?

A. Add the users to a group, and add this group to roles/browser.
B. Add the users to roles/browser role.
C. Add the users to a group, and add this group to roles/iam.roleViewer role.
D. Add the users to roles/iam.roleViewer role.

정답：A

질문 # 182
You've created a new "Custom Role" for a specific new job role inside your company. The role consisted of several permissions; some had a status of "Supported" others a status of "Testing." The role has been working for weeks; however, some permissions recently stopped working. What is the most likely cause for this?

A. Your account has been compromised by hackers.
B. The latest Google applied updates reset all of the custom roles.
C. The custom role has reached its expiration period.
D. One or more permissions with a status of "Testing" have changed.

정답：A,D

질문 # 183
You have an application that uses Cloud Spanner as a backend database. The application has a very predictable traffic pattern. You want to automatically scale up or down the number of Spanner nodes depending on traffic. What should you do?

A. Create a Stackdriver alerting policy to send an alert to webhook when Cloud Spanner CPU is over or under your threshold. Create a Cloud Function that listens to HTTP and resizes Spanner resources accordingly.
B. Create a cron job that runs on a scheduled basis to review stackdriver monitoring metrics, and then resize the Spanner instance accordingly.
C. Create a Stackdriver alerting policy to send an alert to oncall SRE emails when Cloud Spanner CPU exceeds the threshold. SREs would scale resources up or down accordingly.
D. Create a Stackdriver alerting policy to send an alert to Google Cloud Support email when Cloud Spanner CPU exceeds your threshold. Google support would scale resources up or down accordingly.

정답：A

설명：
As to mexblood1's point, CPU utilization is a recommended proxy for traffic when it comes to Cloud Spanner. See: Alerts for high CPU utilization The following table specifies our recommendations for maximum CPU usage for both single-region and multi-region instances. These numbers are to ensure that your instance has enough compute capacity to continue to serve your traffic in the event of the loss of an entire zone (for single-region instances) or an entire region (for multi-region instances). - https://cloud.google.com/spanner/docs/cpu-utilization

질문 # 184
Your company developed an application to deploy on Google Kubernetes Engine. Certain parts of the application are not fault-tolerant and are allowed to have downtime. Other parts of the application are critical and must always be available. You need to configure a Google Kubernetes Engine cluster while optimizing for cost. What should you do?

A. Create a cluster with both a Spot VM node pool and a node pool by using standard VMs. Deploy the critical deployments on the Spot VM node pool and the fault-tolerant deployments on the node pool by using standard VMs.
B. Create a cluster with a single node-pool by using Spot VMs. Label the critical Deployments as spot_false.
C. Create a cluster with both a Spot VM node pool and a nods pool by using standard VMs. Deploy the critical deployments on the node pool by using standard VMs and the fault-tolerant deployments on the Spot VM node pool.
D. Create a cluster with a single node-pool by using standard VMs. Label he fault-tolerant Deployments as spot_true.

정답：C

설명：
Spot VM Node Pool for Fault-Tolerant Parts: Spot VMs in GKE are cost-effective but can be preempted (terminated) by Google Cloud with little notice if their resources are needed elsewhere. They are suitable for workloads that can handle interruptions, like the fault-tolerant parts of your application.
Standard VM Node Pool for Critical Parts: Standard VMs offer more reliability and are not subject to preemption like Spot VMs. Using a standard VM node pool for the critical parts of your application ensures they remain available and are not disrupted by potential preemptions.

질문 # 185
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참고: Pass4Test에서 Google Drive로 공유하는 무료 2026 Google Associate-Cloud-Engineer 시험 문제집이 있습니다: https://drive.google.com/open?id=1HV9vgFPwHtQOBX9HqKWokXoKn_fb-rkH