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Google Associate-Cloud-Engineer Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Setting Up a Cloud Solution Environment20-25%- 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. Linking billing to projects
  • 2. Setting up budget alerts and notifications
  • 3. Creating billing accounts
Topic 2: Ensuring Successful Operation15-20%- 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
- Managing Compute Engine resources
  • 1. Managing instances, disks, and snapshots
  • 2. Attaching and detaching disks
  • 3. Resizing instances and persistent disks
- Managing logging and monitoring
  • 1. Viewing and analyzing logs
  • 2. Using Cloud Monitoring and Logging
  • 3. Creating metrics and alerts
- Managing Cloud Run resources
  • 1. Managing revisions and traffic splitting
  • 2. Configuring resource limits
Topic 3: Configuring Access and Security15-20%- Managing service accounts
  • 1. Assigning service accounts to resources
  • 2. Creating and managing service accounts
  • 3. Using service account keys
- Viewing audit logs
  • 1. Accessing and analyzing Cloud Audit Logs
  • 2. Configuring audit log policies
- 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 Solution20-25%- Planning and configuring compute resources
  • 1. Configuring persistent disks and local SSDs
  • 2. Selecting appropriate machine types and zones
- Planning and estimating GCP product usage
  • 1. Reading documentation for compute, storage, and network resources
  • 2. Using GCP Pricing Calculator
- 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
Topic 5: Deploying and Implementing a Cloud Solution20-25%- Deploying and managing Compute Engine resources
  • 1. Creating and managing instances with startup scripts
  • 2. Creating and managing managed instance groups
  • 3. Creating and managing custom machine types
- 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. Creating and managing GKE clusters
  • 2. Configuring kubectl for cluster access
  • 3. Deploying workloads with Deployments and Services
- Deploying and managing Cloud Functions
  • 1. Configuring triggers and environment variables
  • 2. Creating and triggering Cloud Functions
- Deploying applications with Cloud Deployment Manager
  • 1. Creating deployment configurations
  • 2. Using templates for resource provisioning

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Google Associate Cloud Engineer Exam Sample Questions (Q220-Q225):

NEW QUESTION # 220
You used the gcloud container clusters command to create two Google Cloud Kubernetes (GKE) clusters prod-cluster and dev-cluster.
* prod-cluster is a standard cluster.
* dev-cluster is an auto-pilot duster.
When you run the Kubect1 get nodes command, you only see the nodes from prod-cluster.
Which commands should you run to check the node status for dev-cluster?

Answer: A


NEW QUESTION # 221
(Your company is modernizing its applications and refactoring them to containerized microservices. You need to deploy the infrastructure on Google Cloud so that teams can deploy their applications. The applications cannot be exposed publicly. You want to minimize management and operational overhead. What should you do?)

Answer: D

Explanation:
GKE Autopilot is a mode of operation in GKE where Google manages the underlying infrastructure, including nodes, node pools, and their upgrades. This significantly reduces the management and operational overhead for the user, allowing teams to focus solely on deploying and managing their containerized applications. Since the applications are not exposed publicly, the zonal or regional nature of the cluster primarily impacts availability within Google Cloud, and Autopilot is available for both. Autopilot minimizes the operational burden, which is a key requirement.
Option A: A Standard zonal GKE cluster requires you to manage the nodes yourself, including sizing, scaling, and upgrades, increasing operational overhead compared to Autopilot.
Option B: Manually installing and managing Kubernetes on a fleet of Compute Engine instances involves the highest level of management overhead, which contradicts the requirement to minimize it.
Option D: A Standard regional GKE cluster provides higher availability than a zonal cluster by replicating the control plane and nodes across multiple zones within a region. However, it still requires you to manage the underlying nodes, unlike Autopilot.
Reference to Google Cloud Certified - Associate Cloud Engineer Documents:
The different modes of GKE operation, including Standard and Autopilot, and their respective management responsibilities and benefits, are clearly outlined in the Google Kubernetes Engine documentation, a core topic for the Associate Cloud Engineer certification. The emphasis on reduced operational overhead with Autopilot is a key differentiator.


NEW QUESTION # 222
You are building an archival solution for your data warehouse and have selected Cloud Storage to archive your data. Your users need to be able to access this archived data once a quarter for some regulatory requirements.
You want to select a cost-efficient option. Which storage option should you use?

Answer: A

Explanation:
Coldline Storage is a very-low-cost, highly durable storage service for storing infrequently accessed data.
Coldline Storage is ideal for data you plan to read or modify at most once a quarter. Since we have a requirement to access data once a quarter and want to go with the most cost-efficient option, we should select Coldline Storage.
Ref: https://cloud.google.com/storage/docs/storage-classes#coldline


NEW QUESTION # 223
You want to configure autohealing for network load balancing for a group of Compute Engine instances that run in multiple zones, using the fewest possible steps. You need to configure re-creation of VMs if they are unresponsive after 3 attempts of 10 seconds each. What should you do?

Answer: C


NEW QUESTION # 224
A team of data scientists infrequently needs to use a Google Kubernetes Engine (GKE) cluster that you manage. They require GPUs for some long-running, non-restartable jobs. You want to minimize cost. What should you do?

Answer: C

Explanation:
Explanation
auto-provisioning = Attaches and deletes node pools to cluster based on the requirements. Hence creating a GPU node pool, and auto-scaling would be better
https://cloud.google.com/kubernetes-engine/docs/how-to/node-auto-provisioning


NEW QUESTION # 225
......

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