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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: 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 network resources 1. Designing VPC networks 2. Configuring load balancing and firewall rules - 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
Topic 2: Deploying and Implementing a Cloud Solution	20-25%	- Deploying and managing Kubernetes Engine resources 1. Creating and managing GKE clusters 2. Deploying workloads with Deployments and Services 3. Configuring kubectl for cluster access - 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 Cloud Run resources 1. Configuring memory limits and scaling settings 2. Deploying containerized applications to Cloud Run - Deploying and managing Cloud Functions 1. Configuring triggers and environment variables 2. Creating and triggering Cloud Functions
Topic 3: Ensuring Successful Operation	15-20%	- Managing Kubernetes Engine resources 1. Scaling clusters and node pools 2. Managing workloads (Deployments, Services, HPA) 3. Upgrading clusters - Managing logging and monitoring 1. Using Cloud Monitoring and Logging 2. Viewing and analyzing logs 3. Creating metrics and alerts - Managing Cloud Run resources 1. Configuring resource limits 2. Managing revisions and traffic splitting - Managing storage and data solutions 1. Setting lifecycle policies 2. Managing Cloud Storage buckets and objects 3. Configuring CORS and encryption - Managing Compute Engine resources 1. Resizing instances and persistent disks 2. Managing instances, disks, and snapshots 3. Attaching and detaching disks
Topic 4: Setting Up a Cloud Solution Environment	20-25%	- 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 - Managing billing configuration 1. Setting up budget alerts and notifications 2. Linking billing to projects 3. Creating billing accounts
Topic 5: Configuring Access and Security	15-20%	- Viewing audit logs 1. Accessing and analyzing Cloud Audit Logs 2. Configuring audit log policies - Managing service accounts 1. Using service account keys 2. Creating and managing service accounts 3. Assigning service accounts to resources - Managing IAM resources 1. Applying IAM policies to resources 2. Defining custom IAM roles 3. Creating and managing IAM roles

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Google Associate Cloud Engineer Exam Sample Questions (Q79-Q84):

NEW QUESTION # 79
You created several resources in multiple Google Cloud projects. All projects are linked to different billing accounts. To better estimate future charges, you want to have a single visual representation of all costs incurred. You want to include new cost data as soon as possible. What should you do?

A. Fill all resources in the Pricing Calculator to get an estimate of the monthly cost.
B. Configure Billing Data Export to BigQuery and visualize the data in Looker Studio.
C. Use the Reports view in the Cloud Billing Console to view the desired cost information.
D. Visit the Cost Table page to get a CSV export and visualize it using Looker Studio.

Answer: B

Explanation:
You can combine Cloud Billing data export to BigQuery with Looker Studio to stay up to date on your Google Cloud costs.
https://cloud.google.com/billing/docs/how-to/visualize-data

NEW QUESTION # 80
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 Compute Engine resources in us-central1-b.
- Balance the load across both us-central1-a and us-central1-b.
C. - Create an HTTP(S) Load Balancer.
- Create one or more global forwarding rules to direct traffic to your VMs.
D. - Create a Managed Instance Group and specify us-central1-a as the zone.
- Configure the Health Check with a short Health Interval.

Answer: C

Explanation:
Reference:
https://github.com/GoogleCloudPlatform/puppet-google-compute

NEW QUESTION # 81
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 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. 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.

Answer: D

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 # 82
An employee was terminated, but their access to Google Cloud Platform (GCP) was not removed until 2 weeks later. You need to find out this employee accessed any sensitive customer information after their termination. What should you do?

A. View Data Access audit logs in Stackdriver. Search for the user's email as the principal.
B. View System Event Logs in Stackdriver. Search for the user's email as the principal.
C. View System Event Logs in Stackdriver. Search for the service account associated with the user.
D. View the Admin Activity log in Stackdriver. Search for the service account associated with the user.

Answer: C

NEW QUESTION # 83
Your customer has implemented a solution that uses Cloud Spanner and notices some read latency-related performance issues on one table. This table is accessed only by their users using a primary key. The table schema is shown below.

You want to resolve the issue. What should you do?

A. Option B
B. Option C
C. Option D
D. Option A

Answer: B

Explanation:
As mentioned in Schema and data model, you should be careful when choosing a primary key to not accidentally create hotspots in your database. One cause of hotspots is having a column whose value monotonically increases as the first key part, because this results in all inserts occurring at the end of your key space. This pattern is undesirable because Cloud Spanner divides data among servers by key ranges, which means all your inserts will be directed at a single server that will end up doing all the work. https://cloud.
google.com/spanner/docs/schema-design#primary-key-prevent-hotspots

NEW QUESTION # 84
......

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