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Google Associate-Cloud-Engineer Exam Syllabus Topics:

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

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Google Associate Cloud Engineer Exam Sample Questions (Q345-Q350):

NEW QUESTION # 345
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. 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.
B. 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.
C. Go to Cloud Shell and export this information to Cloud Storage on a daily basis.
D. Go to GCP Console and export this information to Cloud SQL on a daily basis.

Answer: A

Explanation:
gcloud compute instances list - list Google Compute Engine instances
gcloud compute instances list displays all Google Compute Engine instances in a project.
By default, instances from all zones are listed. The results can be narrowed down using a filter: -- filter="zone:( ZONE ... )".
https://cloud.google.com/sdk/gcloud/reference/compute/instances/list

NEW QUESTION # 346
You need to manage a third-party application that will run on a Compute Engine instance. Other Compute Engine instances are already running with default configuration. Application installation files are hosted on Cloud Storage. You need to access these files from the new instance without allowing other virtual machines (VMs) to access these files. What should you do?

A. Create a new service account and assign this service account to the new instance.
Grant the service account permissions on Cloud Storage.
B. Create a new service account and assign this service account to the new instance.
Add metadata to the objects on Cloud Storage that matches the metadata on the new instance.
C. Create the instance with the default Compute Engine service account.
Add metadata to the objects on Cloud Storage that matches the metadata on the new instance.
D. Create the instance with the default Compute Engine service account.
Grant the service account permissions on Cloud Storage.

Answer: A

NEW QUESTION # 347
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. - Perform regular backups of your application.
-Create a Cloud Monitoring Alert and be notified if your application becomes unavailable.
-Restore from backups when notified.
B. - Create a Managed Instance Group and specify us-central1-a as the zone.
-Configure the Health Check with a short Health Interval.
C. - Create Compute Engine resources in us-central1-b.
-Balance the load across both us-central1-a and us-central1-b.
D. - Create an HTTP(S) Load Balancer.
-Create one or more global forwarding rules to direct traffic to your VMs.

Answer: C

Explanation:
Choosing a region and zone You choose which region or zone hosts your resources, which controls where your data is stored and used. Choosing a region and zone is important for several reasons:
Handling failures
Distribute your resources across multiple zones and regions to tolerate outages. Google designs zones to be independent from each other: a zone usually has power, cooling, networking, and control planes that are isolated from other zones, and most single failure events will affect only a single zone. Thus, if a zone becomes unavailable, you can transfer traffic to another zone in the same region to keep your services running.
Similarly, if a region experiences any disturbances, you should have backup services running in a different region. For more information about distributing your resources and designing a robust system, see Designing Robust Systems. Decreased network latency To decrease network latency, you might want to choose a region or zone that is close to your point of service.
https://cloud.google.com/compute/docs/regions-zones#choosing_a_region_and_zone

NEW QUESTION # 348
You need to configure optimal data storage for files stored in Cloud Storage for minimal cost. The files are used in a mission-critical analytics pipeline that is used continually. The users are in Boston, MA (United States). What should you do?

A. Configure dual-regional storage for the dual region closest to the users Configure a Nearline storage class
B. Configure regional storage for the region closest to the users Configure a Nearline storage class
C. Configure regional storage for the region closest to the users Configure a Standard storage class
D. Configure dual-regional storage for the dual region closest to the users Configure a Standard storage class

Answer: C

Explanation:
Keywords: - continually -> Standard - mission-critical analytics -> dual-regional

NEW QUESTION # 349
Your company runs a variety of applications and workloads on Google Cloud and you are responsible for managing cloud costs. You need to identify a solution that enables you to perform detailed cost analysis You also must be able to visualize the cost data in multiple ways on the same dashboard What should you do?

A. Enable Cloud Monitoring metrics export to BigQuery and use Looker to visualize the data
B. Use the cost breakdown report with the available filters from Cloud Billing to visualize the data
C. Run Queries in Cloud Monitoring Create dashboards to visualize the billing metrics
D. Enable the Cloud Billing export to BigQuery, and use Looker Studio to visualize the data

Answer: D

Explanation:
Cloud Billing export to BigQuery allows you to perform detailed, granular analysis of your cost data by writing custom SQL queries. Looker Studio (formerly Data Studio) enables flexible, customizable dashboards, letting you visualize cost data in multiple ways (e.g., by project, service, labels). This combination is the Google-recommended solution for in-depth cost reporting and visualization.

NEW QUESTION # 350
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