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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Deploying and Implementing a Cloud Solution	20-25%	- 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. Deploying workloads with Deployments and Services 2. Creating and managing GKE clusters 3. Configuring kubectl for cluster access - Deploying and managing Compute Engine resources 1. Creating and managing custom machine types 2. Creating and managing instances with startup scripts 3. Creating and managing managed instance groups - Deploying and managing Cloud Run resources 1. Configuring memory limits and scaling settings 2. Deploying containerized applications to Cloud Run
Topic 2: Ensuring Successful Operation	15-20%	- Managing Kubernetes Engine resources 1. Scaling clusters and node pools 2. Upgrading clusters 3. Managing workloads (Deployments, Services, HPA) - Managing Compute Engine resources 1. Resizing instances and persistent disks 2. Managing instances, disks, and snapshots 3. Attaching and detaching disks - Managing Cloud Run resources 1. Configuring resource limits 2. Managing revisions and traffic splitting - Managing storage and data solutions 1. Managing Cloud Storage buckets and objects 2. Setting lifecycle policies 3. Configuring CORS and encryption - Managing logging and monitoring 1. Viewing and analyzing logs 2. Using Cloud Monitoring and Logging 3. Creating metrics and alerts
Topic 3: Setting Up a Cloud Solution Environment	20-25%	- Managing billing configuration 1. Linking billing to projects 2. Creating billing accounts 3. Setting up budget alerts and notifications - 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
Topic 4: Planning and Configuring a Cloud Solution	20-25%	- Planning and estimating GCP product usage 1. Reading documentation for compute, storage, and network resources 2. Using GCP Pricing Calculator - Planning and configuring compute resources 1. Configuring persistent disks and local SSDs 2. Selecting appropriate machine types and zones - Planning and configuring data storage options 1. Selecting appropriate storage classes 2. Choosing between Cloud Storage, Filestore, Persistent Disk - Planning and configuring network resources 1. Designing VPC networks 2. Configuring load balancing and firewall rules
Topic 5: Configuring Access and Security	15-20%	- Managing IAM resources 1. Applying IAM policies to resources 2. Creating and managing IAM roles 3. Defining custom IAM roles - Viewing audit logs 1. Accessing and analyzing Cloud Audit Logs 2. Configuring audit log policies - Managing service accounts 1. Assigning service accounts to resources 2. Using service account keys 3. Creating and managing service accounts

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Google Associate-Cloud-Engineer Tests - Associate-Cloud-Engineer Schulungsunterlagen

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Google Associate Cloud Engineer Exam Associate-Cloud-Engineer Prüfungsfragen mit Lösungen (Q40-Q45):

40. Frage
You have a Dockerfile that you need to deploy on Kubernetes Engine. What should you do?

A. Use kubectl app deploy <dockerfilename>.
B. Create a docker image from the Dockerfile and upload it to Cloud Storage.
Create a Deployment YAML file to point to that image.
Use kubectl to create the deployment with that file.
C. Create a docker image from the Dockerfile and upload it to Container Registry.
Create a Deployment YAML file to point to that image.
Use kubectl to create the deployment with that file.
D. Use gcloud app deploy <dockerfilename>.

Antwort: C

Begründung:
Create the image prior to deployment:
https://cloud.google.com/kubernetes-engine/docs/tutorials/hello-app
You cant deploy a docker file

41. Frage
You are managing several Google Cloud Platform (GCP) projects and need access to all logs for the past 60 days. You want to be able to explore and quickly analyze the log contents. You want to follow Google-recommended practices to obtain the combined logs for all projects. What should you do?

A. Navigate to Stackdriver Logging and select resource.labels.project_id="*"
B. Configure a Cloud Scheduler job to read from Stackdriver and store the logs in BigQuery.
Configure the table expiration to 60 days.
C. Create a Stackdriver Logging Export with a Sink destination to Cloud Storage.
Create a lifecycle rule to delete objects after 60 days.
D. Create a Stackdriver Logging Export with a Sink destination to a BigQuery dataset.
Configure the table expiration to 60 days.

Antwort: D

Begründung:
https://cloud.google.com/blog/products/gcp/best-practices-for-working-with-google-cloud-audit- logging

42. Frage
You have a number of compute instances belonging to an unmanaged instances group. You need to SSH to one of the Compute Engine instances to run an ad hoc script. You've already authenticated gcloud, however, you don't have an SSH key deployed yet. In the fewest steps possible, what's the easiest way to SSH to the instance?

A. Create a key with the ssh-keygen command. Upload the key to the instance. Run gcloud compute instances list to get the IP address of the instance, then use the ssh command.
B. Create a key with the ssh-keygen command. Then use the gcloud compute ssh command.
C. Use the gcloud compute ssh command.
D. Run gcloud compute instances list to get the IP address of the instance, then use the ssh command.

Antwort: C

Begründung:
gcloud compute ssh ensures that the user's public SSH key is present in the project's metadata. If the user does not have a public SSH key, one is generated using ssh-keygen and added to the project's metadata. This is similar to the other option where we copy the key explicitly to the project's metadata but here it is done automatically for us. There are also security benefits with this approach. When we use gcloud compute ssh to connect to Linux instances, we are adding a layer of security by storing your host keys as guest attributes. Storing SSH host keys as guest attributes improve the security of your connections by helping to protect against vulnerabilities such as man-in-the-middle (MITM) attacks. On the initial boot of a VM instance, if guest attributes are enabled, Compute Engine stores your generated host keys as guest attributes.
Compute Engine then uses these host keys that were stored during the initial boot to verify all subsequent connections to the VM instance.
Ref: https://cloud.google.com/compute/docs/instances/connecting-to-instance Ref: https://cloud.google.com/sdk/gcloud/reference/compute/ssh

43. Frage
You need to enable traffic between multiple groups of Compute Engine instances that are currently running two different GCP projects. Each group of Compute Engine instances is running in its own VPC. What should you do?

A. Verify that you are the Project Administrator of both projects. Create two new VPCs and add all instances.
B. Verify that you are the Project Administrator of both projects. Create a new VPC and add all instances.
C. Verify that both projects are in a GCP Organization. Share the VPC from one project and request that the Compute Engine instances in the other project use this shared VPC.
D. Verify that both projects are in a GCP Organization. Create a new VPC and add all instances.

Antwort: C

44. Frage
You need to deploy an application, which is packaged in a container image, in a new project. The application exposes an HTTP endpoint and receives very few requests per day. You want to minimize costs. What should you do?

A. Deploy the container on App Engine Flexible.
B. Deploy the container on Google Kubernetes Engine, with cluster autoscaling and horizontal pod autoscaling enabled.
C. Deploy the container on Cloud Run.
D. Deploy the container on Cloud Run on GKE.

Antwort: C

Begründung:
Cloud Run takes any container images and pairs great with the container ecosystem: Cloud Build, Artifact Registry, Docker. ... No infrastructure to manage: once deployed, Cloud Run manages your services so you can sleep well. Fast autoscaling. Cloud Run automatically scales up or down from zero to N depending on traffic.
https://cloud.google.com/run

45. Frage
......

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