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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Configuring Access and Security	15-20%	- Managing service accounts 1. Using service account keys 2. Assigning service accounts to resources 3. Creating and managing service accounts - Viewing audit logs 1. Configuring audit log policies 2. Accessing and analyzing Cloud Audit Logs - Managing IAM resources 1. Applying IAM policies to resources 2. Creating and managing IAM roles 3. Defining custom IAM roles
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. Reading documentation for compute, storage, and network resources 2. Using GCP Pricing Calculator - 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
Deploying and Implementing a Cloud Solution	20-25%	- 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. Creating deployment configurations 2. Using templates for resource provisioning - Deploying and managing Cloud Functions 1. Configuring triggers and environment variables 2. Creating and triggering Cloud Functions - Deploying and managing Cloud Run resources 1. Configuring memory limits and scaling settings 2. Deploying containerized applications to Cloud Run - 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
Ensuring Successful Operation	15-20%	- Managing logging and monitoring 1. Using Cloud Monitoring and Logging 2. Viewing and analyzing logs 3. Creating metrics and alerts - Managing Compute Engine resources 1. Managing instances, disks, and snapshots 2. Resizing instances and persistent disks 3. Attaching and detaching disks - Managing Kubernetes Engine resources 1. Scaling clusters and node pools 2. Upgrading clusters 3. Managing workloads (Deployments, Services, HPA) - 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. Configuring CORS and encryption 3. Setting lifecycle policies
Setting Up a Cloud Solution Environment	20-25%	- Managing billing configuration 1. Setting up budget alerts and notifications 2. Creating billing accounts 3. Linking billing to projects - Setting up cloud projects and accounts 1. Assigning IAM roles to users and groups 2. Creating and managing projects 3. Managing billing budgets and alerts

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Google Associate Cloud Engineer Exam Sample Questions (Q10-Q15):

NEW QUESTION # 10
30. You are running multiple microservices in a Kubernetes Engine cluster. One microservice is rendering images. The microservice responsible for the image rendering requires a large amount of CPU time compared to the memory it requires. The other microservices are workloads that are optimized for n1-standard machine types. You need to optimize your cluster so that all workloads are using resources as efficiently as possible. What should you do?

A. Configure the required amount of CPU and memory in the resource requests specification of the image rendering microservice deployment Keep the resource requests for the other microservices at the default
B. Assign the pods of the image rendering microservice a higher pod priority than the older microservices
C. Use the node pool with general-purpose machine type nodes for lite mage rendering microservice Create a nodepool with compute-optimized machine type nodes for the other microservices
D. Create a node pool with compute-optimized machine type nodes for the image rendering microservice Use the node pool with general-purpose machine type nodes for the other microservices

Answer: D

NEW QUESTION # 11
You want to add a new auditor to a Google Cloud Platform project. The auditor should be allowed to read, but not modify, all project items.
How should you configure the auditor's permissions?

A. Create a custom role with view-only service permissions. Add the user's account to the custom role.
B. Select the built-in IAM service Viewer role. Add the user's account to this role.
C. Select the built-in IAM project Viewer role. Add the user's account to this role.
D. Create a custom role with view-only project permissions. Add the user's account to the custom role.

Answer: C

NEW QUESTION # 12
A customer is deploying a production portal application on AWS. The database tier has structured data. The company requires a solution that is easily manageable and highly available.
How can these requirements be met?

A. Use Amazon DynamoDB.
B. Use RDS with a single Available Zone option and schedule periodic database snapshots.
C. Deploy the database on multiple Amazon EC2 instances backed by Amazon EBS across multiple Availability Zones.
D. Use Amazon RDS with a multiple Availability Zone option.

Answer: D

Explanation:
Explanation/Reference: https://aws.amazon.com/rds/

NEW QUESTION # 13
You have two subnets (subnet-a and subnet-b) in the default VPC. Your database servers are running in subnet- a. Your application servers and web servers are running in subnet-b. You want to configure a firewall rule that only allows database traffic from the application servers to the database servers. What should you do?

A. * Create network tags app-server and db-server.
* Add the app-server lag lo the application servers and the db-server lag to the database servers.
* Create an egress firewall rule to allow network traffic from source network tag app-server to target network tag db-server.
B. * Create a service account sa-app and a network tag db-server.
* Associate the service account sa-app with the application servers and the network tag db-server with the database servers.
* Create an ingress firewall rule to allow network traffic from source VPC IP addresses and target the subnet-a IP addresses.
C. * Create a network lag app-server and service account sa-db.
* Add the tag to the application servers and associate the service account with the database servers.
* Create an egress firewall rule to allow network traffic from source network tag app-server to target service account sa-db.
D. * Create service accounts sa-app and sa-db.
* Associate service account: sa-app with the application servers and the service account sa-db with the database servers.
* Create an ingress firewall rule to allow network traffic from source service account sa-app to target service account sa-db.

Answer: B

NEW QUESTION # 14
You have a Google Cloud Platform account with access to both production and development projects. You need to create an automated process to list all compute instances in development and production projects on a daily basis. What should you do?

A. Go to GCP Console and export this information to Cloud SQL on a daily basis.
B. Create two configurations using gcloud config. Write a script that sets configurations as active, individually. For each configuration, use gcloud compute instances list to get a list of compute resources.
C. Create two configurations using gsutil config. Write a script that sets configurations as active, individually. For each configuration, use gsutil compute instances list to get a list of compute resources.
D. Go to Cloud Shell and export this information to Cloud Storage on a daily basis.

Answer: B

Explanation:
You can create two configurations - one for the development project and another for the production project.
And you do that by running "gcloud config configurations create"
command.https://cloud.google.com/sdk/gcloud/reference/config/configurations/createIn your custom script, you can load these configurations one at a time and execute gcloud compute instances list to list Google Compute Engine instances in the project that is active in the gcloud configuration.Ref: https://cloud.google.com/sdk/gcloud/reference/compute/instances/listOnce you have this information, you can export it in a suitable format to a suitable target e.g. export as CSV or export to Cloud Storage/BigQuery/SQL, etc

NEW QUESTION # 15
......

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