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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Planning and configuring a cloud solution	17.5%	- Planning and configuring compute resources 1. Choose storage options 2. Plan data storage solutions 3. Plan instance configuration 4. Select compute options - Planning and configuring storage resources 1. Select storage classes 2. Plan data durability and availability - Planning and configuring network resources 1. Plan firewall rules 2. Choose load balancing options 3. Plan hybrid connectivity 4. Design VPC networks
Topic 2: Configuring access and security	17.5%	- Configuring network security 1. Configure private access 2. Manage security controls 3. Secure VPC networks - Managing data security 1. Manage access to data 2. Enable encryption - Managing IAM 1. Implement least privilege access 2. Define roles and permissions 3. Manage service accounts
Topic 3: Ensuring successful operation of a cloud solution	20%	- Managing resources 1. Scale resources 2. Update configurations 3. Troubleshoot common issues - Monitoring and logging 1. Use Cloud Logging 2. Set up alerts 3. Use Cloud Monitoring - Managing cost and performance 1. Analyze cost reports 2. Optimize resource usage
Topic 4: Deploying and implementing a cloud solution	25%	- Deploying and implementing serverless resources 1. Create Cloud Functions 2. Deploy Cloud Run services - Deploying and implementing Compute Engine resources 1. Launch virtual machines 2. Configure access and security 3. Manage images and snapshots 4. Create managed instance groups - Deploying and implementing Google Kubernetes Engine resources 1. Create and manage clusters 2. Configure networking for GKE 3. Deploy workloads - Deploying and implementing data solutions 1. Set up data processing pipelines 2. Provision databases
Topic 5: Setting up a cloud solution environment	20%	- Managing billing configuration 1. Link projects to billing accounts 2. Set budgets and alerts 3. Create and manage billing accounts 4. Configure billing exports - Setting up cloud projects and accounts 1. Apply organizational policies 2. Manage users and groups 3. Manage IAM roles and permissions 4. Enable APIs 5. Manage quotas and limits 6. Create resource hierarchy

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Google Associate Cloud Engineer Exam Sample Questions (Q126-Q131):

NEW QUESTION # 126
You are assigned to maintain a Google Kubernetes Engine (GKE) cluster named dev that was deployed on Google Cloud. You want to manage the GKE configuration using the command line interface (CLI). You have just downloaded and installed the Cloud SDK. You want to ensure that future CLI commands by default address this specific cluster. What should you do?

A. Create a file called gke.default in the ~/.gcloud folder that contains the cluster name.
B. Use the command gcloud container clusters update dev.
C. Use the command gcloud config set container/cluster dev.
D. Create a file called defaults.json in the ~/.gcloud folder that contains the cluster name.

Answer: C

Explanation:
To set a default cluster for gcloud commands, run the following command: gcloud config set container/cluster CLUSTER_NAME https://cloud.google.com/kubernetes-engine/docs/how-to/managing-clusters?hl=en

NEW QUESTION # 127
You deployed an App Engine application using gcloud app deploy, but it did not deploy to the intended project. You want to find out why this happened and where the application deployed. What should you do?

A. Check the app.yaml file for your application and check project settings.
B. Go to Cloud Shell and run gcloud config listto review the Google Cloud configuration used for deployment.
C. Check the web-application.xml file for your application and check project settings.
D. Go to Deployment Manager and review settings for deployment of applications.

Answer: A

Explanation:
Explanation/Reference: https://cloud.google.com/endpoints/docs/openapi/troubleshoot-aeflex-deployment

NEW QUESTION # 128
Your company is active in the European Economic Area (EEA), and will adopt Google Cloud for its workloads. Projects are currently structured within different folders. You need to ensure any resources that will be deployed are using Google Cloud locations within the EEA by using the Organization Policy Service resource locations constraint. What should you do?

A. Configure the policy at the folder level, and add all disallowed locations to the policy.
B. Configure the policy at the organization level, and add all allowed locations to the policy.
C. Configure the policy at the organization level, and add all disallowed locations to the policy.
D. Configure the policy at the folder level, and add all allowed locations to the policy.

Answer: B

Explanation:
The correct answer is A because the policy must apply across projects that are already spread across different folders. Setting the resource location constraint at the organization level gives consistent inheritance across the whole resource hierarchy instead of requiring repeated folder-level configuration. Since the business requirement is to permit only EEA locations, an allow-list model is safer than a deny-list model. A deny list can miss future or unexpected locations, while allowed values define the permitted geographic boundary. Google Cloud's resource locations constraint supports allowed_values and denied_values, and Google recommends using allowed values or value groups to define the geographic boundary for resources.

NEW QUESTION # 129
You have a virtual machine that is currently configured with 2 vCPUs and 4 GB of memory. It is running out of memory. You want to upgrade the virtual machine to have 8 GB of memory. What should you do?

A. Use gcloud to add metadata to the VM. Set the key to required-memory-size and the value to 8 GB.
B. Stop the VM, change the machine type to n1-standard-8, and start the VM.
C. Stop the VM, increase the memory to 8 GB, and start the VM.
D. Rely on live migration to move the workload to a machine with more memory.

Answer: C

Explanation:
In Google compute engine, if predefined machine types don't meet your needs, you can create an instance with custom virtualized hardware settings. Specifically, you can create an instance with a custom number of vCPUs and custom memory, effectively using a custom machine type. Custom machine types are ideal for the following scenarios: 1. Workloads that aren't a good fit for the predefined machine types that are available to you. 2. Workloads that require more processing power or more memory but don't need all of the upgrades that are provided by the next machine type level.In our scenario, we only need a memory upgrade. Moving to a bigger instance would also bump up the CPU which we don't need so we have to use a custom machine type.
It is not possible to change memory while the instance is running so you need to first stop the instance, change the memory and then start it again. See below a screenshot that shows how CPU/Memory can be customized for an instance that has been stopped.Ref: https://cloud.google.com/compute/docs/instances/creating-instance-with-custom-machine-type

NEW QUESTION # 130
Your projects incurred more costs than you expected last month. Your research reveals that a development GKE container emitted a huge number of logs, which resulted in higher costs. You want to disable the logs quickly using the minimum number of steps. What should you do?

A. 1. Go to the Logs ingestion window in Stackdriver Logging, and disable the log source for the GKE Cluster Operations resource.
B. 1. Go to the Logs ingestion window in Stackdriver Logging, and disable the log source for the GKE container resource.
C. 1. Go to the GKE console, and delete existing clusters.2. Recreate a new cluster.3. Clear the option to enable legacy Stackdriver Logging.
D. 1. Go to the GKE console, and delete existing clusters.2. Recreate a new cluster.3. Clear the option to enable legacy Stackdriver Monitoring.

Answer: B

NEW QUESTION # 131
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