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Google Associate-Cloud-Engineer Exam Syllabus Topics:

SectionWeightObjectives
Deploying and Implementing a Cloud Solution20-25%- 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 applications with Cloud Deployment Manager
  • 1. Using templates for resource provisioning
  • 2. Creating deployment configurations
- Deploying and managing Cloud Functions
  • 1. Configuring triggers and environment variables
  • 2. Creating and triggering Cloud Functions
- Deploying and managing Kubernetes Engine resources
  • 1. Configuring kubectl for cluster access
  • 2. Deploying workloads with Deployments and Services
  • 3. Creating and managing GKE clusters
- Deploying and managing Cloud Run resources
  • 1. Deploying containerized applications to Cloud Run
  • 2. Configuring memory limits and scaling settings
Setting Up a Cloud Solution Environment20-25%- Managing billing configuration
  • 1. Setting up budget alerts and notifications
  • 2. Creating billing accounts
  • 3. Linking billing to projects
- Setting up cloud projects and accounts
  • 1. Creating and managing projects
  • 2. Assigning IAM roles to users and groups
  • 3. Managing billing budgets and alerts
Planning and Configuring a Cloud Solution20-25%- Planning and configuring compute resources
  • 1. Configuring persistent disks and local SSDs
  • 2. Selecting appropriate machine types and zones
- Planning and configuring network resources
  • 1. Designing VPC networks
  • 2. Configuring load balancing and firewall rules
- Planning and configuring data storage options
  • 1. Selecting appropriate storage classes
  • 2. Choosing between Cloud Storage, Filestore, Persistent Disk
- Planning and estimating GCP product usage
  • 1. Reading documentation for compute, storage, and network resources
  • 2. Using GCP Pricing Calculator
Configuring Access and Security15-20%- 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. Assigning service accounts to resources
  • 3. Using service account keys
- Managing IAM resources
  • 1. Applying IAM policies to resources
  • 2. Defining custom IAM roles
  • 3. Creating and managing IAM roles
Ensuring Successful Operation15-20%- Managing logging and monitoring
  • 1. Creating metrics and alerts
  • 2. Viewing and analyzing logs
  • 3. Using Cloud Monitoring and Logging
- Managing Kubernetes Engine resources
  • 1. Managing workloads (Deployments, Services, HPA)
  • 2. Scaling clusters and node pools
  • 3. Upgrading clusters
- Managing storage and data solutions
  • 1. Configuring CORS and encryption
  • 2. Setting lifecycle policies
  • 3. Managing Cloud Storage buckets and objects
- Managing Cloud Run resources
  • 1. Configuring resource limits
  • 2. Managing revisions and traffic splitting
- Managing Compute Engine resources
  • 1. Managing instances, disks, and snapshots
  • 2. Attaching and detaching disks
  • 3. Resizing instances and persistent disks

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Google Associate Cloud Engineer Exam Sample Questions (Q206-Q211):

NEW QUESTION # 206
Your organization uses G Suite for communication and collaboration. All users in your organization have a G Suite account. You want to grant some G Suite users access to your Cloud Platform project. What should you do?

Answer: B

Explanation:
Reference: https://cloud.google.com/resource-manager/docs/creating-managing-organization Default behavior does not grant access to the "your GCP Project" Default behavior allow only create billing account and project - When the organization is created, all users in your domain are automatically granted Project Creator and Billing Account Creator IAM roles at the organization level. This enables users in your domain to continue creating projects with no disruption.


NEW QUESTION # 207
You built an application on Google Cloud Platform that uses Cloud Spanner. Your support team needs to monitor the environment but should not have access to table data. You need a streamlined solution to grant the correct permissions to your support team, and you want to follow Google-recommended practices. What should you do?

Answer: D


NEW QUESTION # 208
You have an application that receives SSL-encrypted TCP traffic on port 443. Clients for this application are located all over the world. You want to minimize latency for the clients. Which load balancing option should you use?

Answer: D

Explanation:
Explanation/Reference: https://cloud.google.com/load-balancing/docs/ssl


NEW QUESTION # 209
You are deploying an application to Google Kubernetes Engine (GKE) that needs to call an external third- party API. You need to provide the external API vendor with a list of IP addresses for their firewall to allow traffic from your application. You want to follow Google-recommended practices and avoid any risk of interrupting traffic to the API due to IP address changes. What should you do?

Answer: B

Explanation:
The requirement is for a stable set of egress IP addresses from a GKE cluster for allowlisting by a third party, following best practices.
Option A is not recommended: Using a single node lacks scalability and high availability. Relying on a single node's static IP creates a single point of failure and doesn't align with GKE's design principles. Disabling autoscaling hinders elasticity.
Option C is complex and unreliable: Public nodes typically have ephemeral external IPs (unless manually configured per node, which is difficult to manage with autoscaling). Dynamically tracking and emailing IPs daily is operationally burdensome and prone to race conditions where the allowlist might lag behind IP changes.
Option D uses Cloud NAT but with dynamic IPs. Dynamic IPs change over time, making them unsuitable for stable firewall allowlists.
Option B is the Google-recommended practice: Configuring the GKE cluster with private nodes enhances security as nodes don't have direct external IPs. Cloud NAT provides managed network address translation for these private nodes to access the internet. By configuring Cloud NAT with a static allocation of external IP addresses, all egress traffic from the private GKE nodes will appear to originate from this stable, predictable set of IPs. This set can be given to the vendor for allowlisting without worrying about node IP changes due to scaling or maintenance.
This approach decouples the application's egress IP from the individual nodes, providing stability and adhering to the principle of least privilege (private nodes).
References:
Cloud NAT Overview: "Cloud NAT lets certain resources without external IP addresses create outbound connections to the internet." - https://cloud.google.com/nat/docs/overview Cloud NAT IP Addresses: "When you configure a NAT gateway... You can configure the NAT gateway to automatically allocate regional external IP addresses... Alternatively, you can manually assign a fixed number of static external IP addresses to the gateway." - https://cloud.google.com/nat/docs/overview#ip-addresses GKE and Cloud NAT: "Configure Cloud NAT with GKE... Use Case: You want a GKE pod to deterministically egress traffic from a static set of IP addresses that you control." - https://cloud.google.com
/nat/docs/gke-example
Private Clusters: "Private nodes do not have endpoint-accessible external IP addresses." - https://cloud.google.
com/kubernetes-engine/docs/how-to/private-clusters


NEW QUESTION # 210
You just installed the Google Cloud CLI on your new corporate laptop. You need to list the existing instances of your company on Google Cloud. What must you do before you run the gcloud compute instances list command?
Choose 2 answers

Answer: A,C

Explanation:
Before you run the gcloud compute instances list command, you need to do two things: authenticate with your user account and set the default project for gcloud CLI.
To authenticate with your user account, you need to run gcloud auth login, enter your login credentials in the dialog window, and paste the received login token to gcloud CLI. This will authorize the gcloud CLI to access Google Cloud resources on your behalf1.
To set the default project for gcloud CLI, you need to run gcloud config set project $my_project, where
$my_project is the ID of the project that contains the instances you want to list. This will save you from having to specify the project flag for every gcloud command2.
Option B is not recommended, because using a service account key increases the risk of credential leakage and misuse. It is also not necessary, because you can use your user account to authenticate to the gcloud CLI3.
Option C is not correct, because there is no such thing as a Cloud Identity user account key. Cloud Identity is a service that provides identity and access management for Google Cloud users and groups4. Option D is not required, because the gcloud compute instances list command does not depend on the default zone. You can list instances from all zones or filter by a specific zone using the --filter flag.
1: https://cloud.google.com/sdk/docs/authorizing
2: https://cloud.google.com/sdk/gcloud/reference/config/set
3: https://cloud.google.com/iam/docs/best-practices-for-managing-service-account-keys
4: https://cloud.google.com/identity/docs/overview
5: https://cloud.google.com/sdk/gcloud/reference/compute/instances/list


NEW QUESTION # 211
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