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Google Associate-Cloud-Engineer Exam Syllabus Topics:

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

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Google Associate Cloud Engineer Exam Sample Questions (Q371-Q376):

NEW QUESTION # 371
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?

A. Configure your GKE cluster with private nodes. Configure a Cloud NAT instance with dynamic IP addresses. Provide these IP addresses to the vendor to be added to the allowlist.
B. Configure your GKE cluster with private nodes. Configure a Cloud NAT instance with static IP addresses. Provide these IP addresses to the vendor to be added to the allowlist.
C. Configure your GKE cluster with public nodes. Write a Cloud Function that pulls the public IP addresses of each node in the cluster. Trigger the function to run every day with Cloud Scheduler. Send the list to the vendor by email every day.
D. Configure your GKE cluster with one node, and set the node to have a static external IP address. Ensure that the GKE cluster autoscaler is off. Send the external IP address of the node to the vendor to be added to the allowlist.

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 # 372
You are working in a team that has developed a new application that needs to be deployed on Kubernetes. The production application is business critical and should be optimized for reliability. You need to provision a Kubernetes cluster and want to follow Google-recommended practices. What should you do?

A. Create a GKE Autopilot cluster. Enroll the cluster in the rapid release channel.
B. Create a zonal GKE standard cluster. Enroll the cluster in the stable release channel.
C. Create a GKE Autopilot cluster. Enroll the cluster in the stable release channel.
D. Create a regional GKE standard cluster. Enroll the cluster in the rapid release channel.

Answer: C

Explanation:
Autopilot is more reliable and stable release gives more time to fix issues in new version of GKE

NEW QUESTION # 373
You're using Deployment Manager to deploy your application to an autoscaled, managed instance group on Compute Engine. The application is a single binary, What is the fastest way to get the binary onto the instance, without introducing undue complexity?

A. Once the instance starts up, connect over SSH and install the application.
B. When creating the instance template, use the startup script metadata key to install Ansible. Have the instance run the play-book at startup to install the application.
C. Use a "golden image" that contains everything you need.
D. When creating the instance template use the startup script metadata key to bootstrap the application.

Answer: D

NEW QUESTION # 374
You significantly changed a complex Deployment Manager template and want to confirm that the dependencies of all defined resources are properly met before committing it to the project. You want the most rapid feedback on your changes. What should you do?

A. Execute the Deployment Manager template against a separate project with the same configuration, and monitor for failures.
B. Use granular logging statements within a Deployment Manager template authored in Python.
C. Monitor activity of the Deployment Manager execution on the Stackdriver Logging page of the GCP Console.
D. Execute the Deployment Manager template using the --preview option in the same project, and observe the state of interdependent resources.

Answer: D

Explanation:
Reference:
https://cloud.google.com/deployment-manager/docs/deployments/updating-deployments

NEW QUESTION # 375
You are building a pipeline to process time-series data.
Which Google Cloud Platform services should you put in boxes 1,2,3, and 4?

A. Cloud Pub/Sub, Cloud Dataflow, Cloud Datastore, BigQuery
B. Cloud Pub/Sub, Cloud Storage, BigQuery, Cloud Bigtable
C. Firebase Messages, Cloud Pub/Sub, Cloud Spanner, BigQuery
D. Cloud Pub/Sub, Cloud Dataflow, Cloud Bigtable, BigQuery

Answer: D

Explanation:
Correct answer is D as Cloud Pub/Sub for data ingestion, Dataflow for data handling and transformation, Bigtable for storage to provide low latency data access and BigQuery for analytics Whenever we want to process timeseries data look for BigTable.
Also you want to perform analystics in Box 4 ..look for BigQuery

NEW QUESTION # 376
......

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