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Google Associate-Cloud-Engineer Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Configuring access and security17.5%- Configuring network security
  • 1. Secure VPC networks
  • 2. Manage security controls
  • 3. Configure private access
- Managing IAM
  • 1. Manage service accounts
  • 2. Define roles and permissions
  • 3. Implement least privilege access
- Managing data security
  • 1. Enable encryption
  • 2. Manage access to data
Topic 2: Setting up a cloud solution environment20%- Setting up cloud projects and accounts
  • 1. Create resource hierarchy
  • 2. Apply organizational policies
  • 3. Manage users and groups
  • 4. Enable APIs
  • 5. Manage IAM roles and permissions
  • 6. Manage quotas and limits
- Managing billing configuration
  • 1. Link projects to billing accounts
  • 2. Set budgets and alerts
  • 3. Configure billing exports
  • 4. Create and manage billing accounts
Topic 3: Ensuring successful operation of a cloud solution20%- Managing cost and performance
  • 1. Analyze cost reports
  • 2. Optimize resource usage
- Managing resources
  • 1. Update configurations
  • 2. Troubleshoot common issues
  • 3. Scale resources
- Monitoring and logging
  • 1. Use Cloud Monitoring
  • 2. Set up alerts
  • 3. Use Cloud Logging
Topic 4: Planning and configuring a cloud solution17.5%- Planning and configuring storage resources
  • 1. Plan data durability and availability
  • 2. Select storage classes
- Planning and configuring compute resources
  • 1. Choose storage options
  • 2. Plan instance configuration
  • 3. Plan data storage solutions
  • 4. Select compute options
- Planning and configuring network resources
  • 1. Choose load balancing options
  • 2. Design VPC networks
  • 3. Plan hybrid connectivity
  • 4. Plan firewall rules
Topic 5: Deploying and implementing a cloud solution25%- Deploying and implementing Compute Engine resources
  • 1. Configure access and security
  • 2. Create managed instance groups
  • 3. Manage images and snapshots
  • 4. Launch virtual machines
- Deploying and implementing serverless resources
  • 1. Deploy Cloud Run services
  • 2. Create Cloud Functions
- Deploying and implementing Google Kubernetes Engine resources
  • 1. Configure networking for GKE
  • 2. Deploy workloads
  • 3. Create and manage clusters
- Deploying and implementing data solutions
  • 1. Provision databases
  • 2. Set up data processing pipelines

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Google Associate Cloud Engineer Exam Sample Questions (Q178-Q183):

NEW QUESTION # 178
You are building an archival solution for your data warehouse and have selected Cloud Storage to archive your data. Your users need to be able to access this archived data once a quarter for some regulatory requirements.
You want to select a cost-efficient option. Which storage option should you use?

Answer: D

Explanation:
Nearline, Coldline, and Archive offer ultra low-cost, highly-durable, highly available archival storage. For data accessed less than once a year, Archive is a cost-effective storage option for long-term preservation of data.
Coldline is also ideal for cold storage-data your business expects to touch less than once a quarter. For warmer storage, choose Nearline: data you expect to access less than once a month, but possibly multiple times throughout the year. All storage classes are available across all GCP regions and provide unparalleled sub-second access speeds with a consistent API.
Reference: https://cloud.google.com/storage/archival


NEW QUESTION # 179
You are running an application on multiple virtual machines within a managed instance group and have autoscaling enabled. The autoscaling policy is configured so that additional instances are added to the group if the CPU utilization of instances goes above 80%. VMs are added until the instance group reaches its maximum limit of five VMs or until CPU utilization of instances lowers to 80%. The initial delay for HTTP health checks against the instances is set to 30 seconds. The virtual machine instances take around three minutes to become available for users. You observe that when the instance group autoscales, it adds more instances then necessary to support the levels of end-user traffic. You want to properly maintain instance group sizes when autoscaling. What should you do?

Answer: B

Explanation:
The reason is that when you do health check, you want the VM to be working. Do the first check after initial setup time of 3 mins = 180 s < 200 s is reasonable.
The reason why our autoscaling is adding more instances than needed is that it checks 30 seconds after launching the instance and at this point, the instance isnt up and isnt ready to serve traffic. So our autoscaling policy starts another instance again checks this after 30 seconds and the cycle repeats until it gets to the maximum instances or the instances launched earlier are healthy and start processing traffic which happens after 180 seconds (3 minutes). This can be easily rectified by adjusting the initial delay to be higher than the time it takes for the instance to become available for processing traffic. So setting this to 200 ensures that it waits until the instance is up (around 180-second mark) and then starts forwarding traffic to this instance. Even after a cool out period, if the CPU utilization is still high, the autoscaler can again scale up but this scale-up is genuine and is based on the actual load.
Initial Delay Seconds This setting delays autohealing from potentially prematurely recreating the instance if the instance is in the process of starting up. The initial delay timer starts when the currentAction of the instance is VERIFYING. Ref: https://cloud.google.com/compute/docs/instance-groups/autohealing-instances-in-migs


NEW QUESTION # 180
You are using Data Studio to visualize a table from your data warehouse that is built on top of BigQuery. Data is appended to the data warehouse during the day. At night, the daily summary is recalculated by overwriting the table. You just noticed that the charts in Data Studio are broken, and you want to analyze the problem. What should you do?

Answer: D

Explanation:
Cloud Debugger helps inspect the state of an application, at any code location, without stopping or slowing down the running app // https://cloud.google.com/debugger/docs


NEW QUESTION # 181
You need to create a new billing account and then link it with an existing Google Cloud Platform project.
What should you do?

Answer: A


NEW QUESTION # 182
Which of the following command is used to create buckets in Cloud Storage?

Answer: C


NEW QUESTION # 183
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