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Google Associate-Cloud-Engineer Exam Syllabus Topics:

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

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Google Associate Cloud Engineer Exam Sample Questions (Q358-Q363):

NEW QUESTION # 358
Your organization has strict requirements to control access to Google Cloud projects. You need to enable your Site Reliability Engineers (SREs) to approve requests from the Google Cloud support team when an SRE opens a support case. You want to follow Google-recommended practices. What should you do?

A. Add your SREs to a group and then add this group to roles/accessapproval approver role.
B. Add your SREs to roles/iam.roleAdmin role.
C. Add your SREs to a group and then add this group to roles/iam roleAdmin role.
D. Add your SREs to roles/accessapproval approver role.

Answer: B

NEW QUESTION # 359
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 Cloud Shell and export this information to Cloud Storage on a daily basis.
B. Go to GCP Console and export this information to Cloud SQL on a daily basis.
C. 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.
D. 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.

Answer: C

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/create In 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/list Once 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 # 360
You just installed the Google Cloud CLI on your new corporate laptop. You need to list the existing instances of your company on Google Cloud. What must you do before you run the gcloud compute instances list command?
Choose 2 answers

A. Run gcloud auth login, enter your login credentials in the dialog window, and paste the received login token to gcloud CLI.
B. Download your Cloud Identity user account key. Place the key file in a folder on your machine where gcloud CLI can find it.
C. Run gcloud config set project $my_project to set the default project for gcloud CLI.
D. Create a Google Cloud service account, and download the service account key. Place the key file in a folder on your machine where gcloud CLI can find it.
E. Run gcloud config set compute/zone $my_zone to set the default zone for gcloud CLI.

Answer: A,C

Explanation:
Before you run the gcloud compute instances list command, you need to do two things: authenticate with your user account and set the default project for gcloud CLI.
To authenticate with your user account, you need to run gcloud auth login, enter your login credentials in the dialog window, and paste the received login token to gcloud CLI. This will authorize the gcloud CLI to access Google Cloud resources on your behalf1.
To set the default project for gcloud CLI, you need to run gcloud config set project $my_project, where
$my_project is the ID of the project that contains the instances you want to list. This will save you from having to specify the project flag for every gcloud command2.
Option B is not recommended, because using a service account key increases the risk of credential leakage and misuse. It is also not necessary, because you can use your user account to authenticate to the gcloud CLI3.
Option C is not correct, because there is no such thing as a Cloud Identity user account key. Cloud Identity is a service that provides identity and access management for Google Cloud users and groups4. Option D is not required, because the gcloud compute instances list command does not depend on the default zone. You can list instances from all zones or filter by a specific zone using the --filter flag.

NEW QUESTION # 361
You are about to deploy a new Enterprise Resource Planning (ERP) system on Google Cloud. The application holds the full database in-memory for fast data access, and you need to configure the most appropriate resources on Google Cloud for this application. What should you do?

A. Provision Compute Engine instances with GPUs attached.
B. Provision Compute Engine instances with M1 machine type.
C. Provision Compute Engine instances with local SSDs attached.
D. Provision preemptible Compute Engine instances.

Answer: B

Explanation:
M1 machine series Medium in-memory databases such as SAP HANA Tasks that require intensive use of memory with higher memory-to-vCPU ratios than the general-purpose high-memory machine types. In-memory databases and in-memory analytics, business warehousing (BW) workloads, genomics analysis, SQL analysis services. Microsoft SQL Server and similar databases.
https://cloud.google.com/compute/docs/machine-types
https://cloud.google.com/compute/docs/machine-types#:~:text=databases%20such%20as-,SAP%20HANA,-In%2Dmemory%20databases
https://www.sap.com/india/products/hana.html#:~:text=is%20SAP%20HANA-,in%2Dmemory,-database%3F

NEW QUESTION # 362
You've created a new firewall rule to allow incoming traffic on port 22, using a target tag of "dev-ssh". You tried to connect to one of your instances, and you're still unable to connect. What steps do you need to take to resolve the problem?

A. Use source tags in place of the target tags.
B. Run the gcloud firewall-rules refresh command.
C. Reboot the instances for the firewall rule to take effect.
D. Apply a network tag of "dev-ssh" to the instance you're trying to connect into and test again.

Answer: D

NEW QUESTION # 363
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