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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Deploying and implementing a cloud solution	25%	- Deploying and implementing serverless resources 1. Deploy Cloud Run services 2. Create Cloud Functions - Deploying and implementing Google Kubernetes Engine resources 1. Deploy workloads 2. Create and manage clusters 3. Configure networking for GKE - Deploying and implementing data solutions 1. Set up data processing pipelines 2. Provision databases - Deploying and implementing Compute Engine resources 1. Launch virtual machines 2. Manage images and snapshots 3. Create managed instance groups 4. Configure access and security
Planning and configuring a cloud solution	17.5%	- Planning and configuring network resources 1. Plan hybrid connectivity 2. Choose load balancing options 3. Design VPC networks 4. Plan firewall rules - Planning and configuring storage resources 1. Select storage classes 2. Plan data durability and availability - Planning and configuring compute resources 1. Plan instance configuration 2. Plan data storage solutions 3. Choose storage options 4. Select compute options
Ensuring successful operation of a cloud solution	20%	- Monitoring and logging 1. Use Cloud Monitoring 2. Set up alerts 3. Use Cloud Logging - Managing resources 1. Update configurations 2. Scale resources 3. Troubleshoot common issues - Managing cost and performance 1. Optimize resource usage 2. Analyze cost reports
Configuring access and security	17.5%	- Configuring network security 1. Manage security controls 2. Configure private access 3. Secure VPC networks - Managing IAM 1. Implement least privilege access 2. Define roles and permissions 3. Manage service accounts - Managing data security 1. Enable encryption 2. Manage access to data
Setting up a cloud solution environment	20%	- Managing billing configuration 1. Link projects to billing accounts 2. Create and manage billing accounts 3. Set budgets and alerts 4. Configure billing exports - Setting up cloud projects and accounts 1. Manage users and groups 2. Enable APIs 3. Create resource hierarchy 4. Manage quotas and limits 5. Manage IAM roles and permissions 6. Apply organizational policies

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Google Associate Cloud Engineer Exam Sample Questions (Q370-Q375):

NEW QUESTION # 370
Your company has embraced a hybrid cloud strategy where some of the applications are deployed on Google Cloud. A Virtual Private Network (VPN) tunnel connects your Virtual Private Cloud (VPC) in Google Cloud with your company's on-premises network. Multiple applications in Google Cloud need to connect to an on-premises database server, and you want to avoid having to change the IP configuration in all of your applications when the IP of the database changes.
What should you do?

A. Query the Compute Engine internal DNS from the applications to retrieve the IP of the database.
B. Configure the IP of the database as custom metadata for each instance, and query the metadata server.
C. Create a private zone on Cloud DNS, and configure the applications with the DNS name.
D. Configure Cloud NAT for all subnets of your VPC to be used when egressing from the VM instances.

Answer: C

Explanation:
Forwarding zones Cloud DNS forwarding zones let you configure target name servers for specific private zones. Using a forwarding zone is one way to implement outbound DNS forwarding from your VPC network. A Cloud DNS forwarding zone is a special type of Cloud DNS private zone. Instead of creating records within the zone, you specify a set of forwarding targets. Each forwarding target is an IP address of a DNS server, located in your VPC network, or in an on-premises network connected to your VPC network by Cloud VPN or Cloud Interconnect.
https://cloud.google.com/nat/docs/overview
DNS configuration Your on-premises network must have DNS zones and records configured so that Google domain names resolve to the set of IP addresses for either private.googleapis.com or restricted.googleapis.com. You can create Cloud DNS managed private zones and use a Cloud DNS inbound server policy, or you can configure on-premises name servers. For example, you can use BIND or Microsoft Active Directory DNS. https://cloud.google.com/vpc/docs/configure-private-google-access-hybrid#config-domain

NEW QUESTION # 371
You are working with a Cloud SQL MySQL database at your company. You need to retain a month-end copy of the database for three years for audit purposes. What should you do?

A. Set up an on-demand backup tor the first of the month Write the backup to an Archive class Cloud Storage bucket
B. Set up an export job for the first of the month Write the export file to an Archive class Cloud Storage bucket
C. Convert the automatic first-of-the-month backup to an export file Write the export file to a Coldline class Cloud Storage bucket
D. Save file automatic first-of-the- month backup for three years Store the backup file in an Archive class Cloud Storage bucket

Answer: B

Explanation:
Explanation
https://cloud.google.com/sql/docs/mysql/backup-recovery/backups#can_i_export_a_backup
https://cloud.google.com/sql/docs/mysql/import-export#automating_export_operations

NEW QUESTION # 372
You need to verify that a Google Cloud Platform service account was created at a particular time. What should you do?

A. Filter the Activity log to view the Data Access category. Filter the Resource type to Service Account.
B. Filter the Activity log to view the Data Access category. Filter the Resource type to Google Project.
C. Filter the Activity log to view the Configuration category. Filter the Resource type to Service Account.
D. Filter the Activity log to view the Configuration category. Filter the Resource type to Google Project.

Answer: C

Explanation:
Explanation
https://developers.google.com/cloud-search/docs/guides/audit-logging-manual

NEW QUESTION # 373
You have a workload running on Compute Engine that is critical to your business. You want to ensure that the data on the boot disk of this workload is backed up regularly. You need to be able to restore a backup as quickly as possible in case of disaster. You also want older backups to be cleaned automatically to save on cost. You want to follow Google-recommended practices. What should you do?

A. Create a snapshot schedule for the disk using the desired interval.
B. Create a Cloud Function to create an instance template.
C. Create a cron job to create a new disk from the disk using gcloud.
D. Create a Cloud Task to create an image and export it to Cloud Storage.

Answer: A

Explanation:
Best practices for persistent disk snapshots
You can create persistent disk snapshots at any time, but you can create snapshots more quickly and with greater reliability if you use the following best practices.
Creating frequent snapshots efficiently
Use snapshots to manage your data efficiently.
Create a snapshot of your data on a regular schedule to minimize data loss due to unexpected failure.
Improve performance by eliminating excessive snapshot downloads and by creating an image and reusing it.
Set your snapshot schedule to off-peak hours to reduce snapshot time.
Snapshot frequency limits
Creating snapshots from persistent disks
You can snapshot your disks at most once every 10 minutes. If you want to issue a burst of requests to snapshot your disks, you can issue at most 6 requests in 60 minutes.
https://cloud.google.com/compute/docs/disks/snapshot-best-practices

NEW QUESTION # 374
The core business of your company is to rent out construction equipment at a large scale. All the equipment that is being rented out has been equipped with multiple sensors that send event information every few seconds. These signals can vary from engine status, distance traveled, fuel level, and more. Customers are billed based on the consumption monitored by these sensors.
You expect high throughput ?up to thousands of events per hour per device ?and need to retrieve consistent data based on the time of the event. Storing and retrieving individual signals should be atomic. What should you do?

A. Ingest the data into Cloud Bigtable. Create a row key based on the event timestamp.
B. Create a file in Cloud Storage per device and append new data to that file.
C. Ingest the data into Datastore. Store data in an entity group based on the device.
D. Create a file in Cloud Filestore per device and append new data to that file.

Answer: C

NEW QUESTION # 375
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