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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Ensuring Successful Operation	15-20%	- Managing Compute Engine resources 1. Resizing instances and persistent disks 2. Attaching and detaching disks 3. Managing instances, disks, and snapshots - Managing storage and data solutions 1. Setting lifecycle policies 2. Configuring CORS and encryption 3. Managing Cloud Storage buckets and objects - Managing Cloud Run resources 1. Configuring resource limits 2. Managing revisions and traffic splitting - Managing Kubernetes Engine resources 1. Managing workloads (Deployments, Services, HPA) 2. Scaling clusters and node pools 3. Upgrading clusters - Managing logging and monitoring 1. Viewing and analyzing logs 2. Creating metrics and alerts 3. Using Cloud Monitoring and Logging
Topic 2: 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 estimating GCP product usage 1. Using GCP Pricing Calculator 2. Reading documentation for compute, storage, and network resources - Planning and configuring network resources 1. Designing VPC networks 2. Configuring load balancing and firewall rules - Planning and configuring data storage options 1. Choosing between Cloud Storage, Filestore, Persistent Disk 2. Selecting appropriate storage classes
Topic 3: Configuring Access and Security	15-20%	- Managing IAM resources 1. Creating and managing IAM roles 2. Defining custom IAM roles 3. Applying IAM policies to resources - Managing service accounts 1. Creating and managing service accounts 2. Assigning service accounts to resources 3. Using service account keys - Viewing audit logs 1. Accessing and analyzing Cloud Audit Logs 2. Configuring audit log policies
Topic 4: Setting Up a Cloud Solution Environment	20-25%	- 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 5: Deploying and Implementing a Cloud Solution	20-25%	- Deploying and managing Cloud Functions 1. Configuring triggers and environment variables 2. Creating and triggering Cloud Functions - Deploying applications with Cloud Deployment Manager 1. Using templates for resource provisioning 2. Creating deployment configurations - 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 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. Creating and managing GKE clusters 3. Deploying workloads with Deployments and Services

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Google Associate Cloud Engineer Exam Sample Questions (Q110-Q115):

NEW QUESTION # 110
You are configuring service accounts for an application that spans multiple projects. Virtual machines (VMs) running in the web-applications project need access to BigQuery datasets in crm-databases-proj. You want to follow Google-recommended practices to give access to the service account in the web-applications project. What should you do?

A. Give bigquery.dataViewer role to crm-databases-proj and appropriate roles to web-applications.
B. Give "project owner" role to crm-databases-proj and bigquery.dataViewer role to web-applications.
C. Give "project owner" role to crm-databases-proj and the web-applications project.
D. Give "project owner" for web-applications appropriate roles to crm-databases- proj

Answer: A

Explanation:
Reference:
bigquery.dataViewer role provides permissions to read the datasets metadata and list tables in the dataset as well as Read data and metadata from the datasets tables. This is exactly what we need to fulfil this requirement and follows the least privilege principle.
Ref: https://cloud.google.com/iam/docs/understanding-roles#bigquery-roles

NEW QUESTION # 111
You are building a product on top of Google Kubernetes Engine (GKE). You have a single GKE cluster. For each of your customers, a Pod is running in that cluster, and your customers can run arbitrary code inside their Pod. You want to maximize the isolation between your customers' Pods. What should you do?

A. Use the Container Analysis API to detect vulnerabilities in the containers used by your customers' Pods.
B. Create a GKE node pool with a sandbox type configured to gvisor. Add the parameter runtimeClassName: gvisor to the specification of your customers' Pods.
C. Use the cos_containerd image for your GKE nodes. Add a nodeSelector with the value cloud.google.com/gke-os-distribution: cos_containerd to the specification of your customers' Pods.
D. Use Binary Authorization and whitelist only the container images used by your customers' Pods.

Answer: B

Explanation:
Reference:
https://cloud.google.com/kubernetes-engine/sandbox/

NEW QUESTION # 112
You are planning to move your company's website and a specific asynchronous background job to Google Cloud Your website contains only static HTML content The background job is started through an HTTP endpoint and generates monthly invoices for your customers. Your website needs to be available in multiple geographic locations and requires autoscaling. You want to have no costs when your workloads are not In use and follow recommended practices. What should you do?

A. Move your website to Google Kubemetes Engine (GKE). and move your background job to Cloud Functions
B. Move both your website and background job to Compute Engine
C. Move both your website and background job to Cloud Run.
D. Move your website to Google Kubemetes Engine (GKE), and move your background job to Compute Engine

Answer: C

Explanation:
The critical constraint for both the website and the background job is the requirement for autoscaling and no costs when not in use (scale to zero). Both workloads are suitable for containerization and HTTP invocation.
* Cloud Run is the single best platform for both use cases under these constraints. It is serverless, fully managed, and natively supports scaling to zero when a containerized service is not receiving requests, making it the most cost-effective option for sporadic workloads.
* The static website can run in a simple web server container on Cloud Run. The HTTP-triggered background job is a perfect fit for a Cloud Run service that runs, performs its work (invoice generation), and then scales down to zero.
Reference: Google Cloud Documentation - Cloud Run (Overview):
"Because Cloud Run is serverless... It scales up or down automatically, including scaling to zero to minimize your cost." Reference: Google Cloud Documentation - Cloud Run (Use cases):
"Cloud Run is suitable for... background processing (jobs, batch processing, and other non-HTTP services), and services that require scaling to zero."

NEW QUESTION # 113
Users of your application are complaining of slowness when loading the application. You realize the slowness is because the App Engine deployment serving the application is deployed in us-central whereas all users of this application are closest to europe-west3. You want to change the region of the App Engine application to europe-west3 to minimize latency. What's the best way to change the App Engine region?

A. Create a new project and create an App Engine instance in europe-west3
B. Use the gcloud app region set command and supply the name of the new region.
C. From the console, under the App Engine page, click edit, and change the region drop-down.
D. Contact Google Cloud Support and request the change.

Answer: A

Explanation:
App engine is a regional service, which means the infrastructure that runs your app(s) is located in a specific region and is managed by Google to be redundantly available across all the zones within that region. Once an app engine deployment is created in a region, it cant be changed. The only way is to create a new project and create an App Engine instance in europe-west3, send all user traffic to this instance and delete the app engine instance in us-central.
Ref: https://cloud.google.com/appengine/docs/locations

NEW QUESTION # 114
Your team is using Linux instances on Google Cloud. You need to ensure that your team logs in to these instances in the most secure and cost efficient way. What should you do?

A. Use the gcloud compute ssh command with the --tunnel-through-iap flag. Allow ingress traffic from the IP range 35.235.240.0/20 on port 22.
B. Use a third party tool to provide remote access to the instances.
C. Attach a public IP to the instances and allow incoming connections from the internet on port 22 for SSH.
D. Create a bastion host with public internet access. Create the SSH tunnel to the instance through the bastion host.

Answer: A

Explanation:
https://cloud.google.com/compute/docs/connect/ssh-using-iap#gcloud

NEW QUESTION # 115
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