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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Planning and Configuring a Cloud Solution	20-25%	- 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. Choosing between Cloud Storage, Filestore, Persistent Disk 2. Selecting appropriate storage classes
Ensuring Successful Operation	15-20%	- Managing storage and data solutions 1. Managing Cloud Storage buckets and objects 2. Configuring CORS and encryption 3. Setting lifecycle policies - Managing logging and monitoring 1. Creating metrics and alerts 2. Viewing and analyzing logs 3. Using Cloud Monitoring and Logging - Managing Cloud Run resources 1. Managing revisions and traffic splitting 2. Configuring resource limits - Managing Kubernetes Engine resources 1. Managing workloads (Deployments, Services, HPA) 2. Upgrading clusters 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
Configuring Access and Security	15-20%	- Viewing audit logs 1. Accessing and analyzing Cloud Audit Logs 2. Configuring audit log policies - Managing IAM resources 1. Creating and managing IAM roles 2. Applying IAM policies to resources 3. Defining custom IAM roles - Managing service accounts 1. Assigning service accounts to resources 2. Using service account keys 3. Creating and managing service accounts
Deploying and Implementing a Cloud Solution	20-25%	- Deploying and managing Cloud Functions 1. Creating and triggering Cloud Functions 2. Configuring triggers and environment variables - Deploying and managing Compute Engine resources 1. Creating and managing instances with startup scripts 2. Creating and managing custom machine types 3. Creating and managing managed instance groups - 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. Configuring kubectl for cluster access 2. Deploying workloads with Deployments and Services 3. Creating and managing GKE clusters - Deploying applications with Cloud Deployment Manager 1. Using templates for resource provisioning 2. Creating deployment configurations
Setting Up a Cloud Solution Environment	20-25%	- Managing billing configuration 1. Creating billing accounts 2. Linking billing to projects 3. Setting up budget alerts and notifications - Setting up cloud projects and accounts 1. Assigning IAM roles to users and groups 2. Managing billing budgets and alerts 3. Creating and managing projects

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Google Associate Cloud Engineer Exam Associate-Cloud-Engineer Prüfungsfragen mit Lösungen (Q401-Q406):

401. Frage
You have created an application that is packaged into a Docker image. You want to deploy the Docker image as a workload on Google Kubernetes Engine. What should you do?

A. Upload the image to Artifact Registry and create a Kubernetes Deployment referencing the image.
B. Upload the image to Artifact Registry and create a Kubernetes Service referencing the image.
C. Upload the image to Cloud Storage and create a Kubernetes Deployment referencing the image.
D. Upload the image to Cloud Storage and create a Kubernetes Service referencing the image.

Antwort: A

Begründung:
Kubernetes Deployment is responsible for deploying and managing an application (running in pods) on your GKE cluster.
https://cloud.google.com/kubernetes-engine/docs/how-to/deploying-workloads- overview#stateless_applications

402. Frage
You have a single binary application that you want to run on Google Cloud Platform. You decided to automatically scale the application based on underlying infrastructure CPU usage. Your organizational policies require you to use virtual machines directly. You need to ensure that the application scaling is operationally efficient and completed as quickly as possible. What should you do?

A. Create an instance template, and use the template in a managed instance group with autoscaling configured.
B. Create a Google Kubernetes Engine cluster, and use horizontal pod autoscaling to scale the application.
C. Create an instance template, and use the template in a managed instance group that scales up and down based on the time of day.
D. Use a set of third-party tools to build automation around scaling the application up and down, based on Stackdriver CPU usage monitoring.

Antwort: B

403. Frage
You are using Deployment Manager to create a Google Kubernetes Engine cluster. Using the same Deployment Manager deployment, you also want to create a DaemonSet in the kube-system namespace of the cluster. You want a solution that uses the fewest possible services. What should you do?

A. With Deployment Manager, create a Compute Engine instance with a startup script that uses kubectl to create the DaemonSet.
B. Add the cluster's API as a new Type Provider in Deployment Manager, and use the new type to create the DaemonSet.
C. Use the Deployment Manager Runtime Configurator to create a new Config resource that contains the DaemonSet definition.
D. In the cluster's definition in Deployment Manager, add a metadata that has kube-system as key and the DaemonSet manifest as value.

Antwort: B

Begründung:
Adding an API as a type provider
This page describes how to add an API to Google Cloud Deployment Manager as a type provider. To learn more about types and type providers, read the Types overview documentation.
A type provider exposes all of the resources of a third-party API to Deployment Manager as base types that you can use in your configurations. These types must be directly served by a RESTful API that supports Create, Read, Update, and Delete (CRUD).
If you want to use an API that is not automatically provided by Google with Deployment Manager, you must add the API as a type provider.
https://cloud.google.com/deployment-manager/docs/configuration/type-providers/creating-type-provider

404. Frage
Your company requires all developers to have the same permissions, regardless of the Google Cloud project they are working on. Your company's security policy also restricts developer permissions to Compute Engine.
Cloud Functions, and Cloud SQL. You want to implement the security policy with minimal effort. What should you do?

A. * Add all developers to a Google group in Cloud Identity.
* Create a custom role with Compute Engine, Cloud Functions, and Cloud SQL permissions at the Google Cloud organization level.
* Assign the custom role to the Google group.
B. * Add all developers to a Google group in Google Groups for Workspace.
* Assign the predefined role of Compute Admin to the Google group at the Google Cloud organization level.
C. * Create a custom role with Compute Engine, Cloud Functions, and Cloud SQL permissions in one project within the Google Cloud organization.
* Copy the role across all projects created within the organization with the gcloud iam roles copy command.
* Assign the role to developers in those projects.
D. * Add all developers to a Google group in Cloud Identity.
* Assign predefined roles for Compute Engine, Cloud Functions, and Cloud SQL permissions to the Google group for each project in the Google Cloud organization.

Antwort: A

Begründung:
https://www.cloudskillsboost.google/focuses/1035?parent=catalog#:~:text=custom%20role%20at%20the%20org

405. Frage
You are hosting an application from Compute Engine virtual machines (VMs) in us-central1-a. You want to adjust your design to support the failure of a single Compute Engine zone, eliminate downtime, and minimize cost. What should you do?

A. - Create Compute Engine resources in us-central1-b.
-Balance the load across both us-central1-a and us-central1-b.
B. - Create an HTTP(S) Load Balancer.
-Create one or more global forwarding rules to direct traffic to your VMs.
C. - Perform regular backups of your application.
-Create a Cloud Monitoring Alert and be notified if your application becomes unavailable.
-Restore from backups when notified.
D. - Create a Managed Instance Group and specify us-central1-a as the zone.
-Configure the Health Check with a short Health Interval.

Antwort: D

406. Frage
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