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Google Associate-Cloud-Engineer Exam Syllabus Topics:

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

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Google Associate Cloud Engineer Exam Sample Questions (Q286-Q291):

NEW QUESTION # 286
You are the project owner of a GCP project and want to delegate control to colleagues to manage buckets and files in Cloud Storage. You want to follow Google-recommended practices. Which IAM roles should you grant your colleagues?

Answer: A

Explanation:
Storage Admin (roles/storage.admin) Grants full control of buckets and objects.
When applied to an individual bucket, control applies only to the specified bucket and objects within the bucket.
firebase.projects.get
resourcemanager.projects.get
resourcemanager.projects.list
storage.buckets.*
storage.objects.*


NEW QUESTION # 287
Your company developed a mobile game that is deployed on Google Cloud. Gamers are connecting to the game with their personal phones over the Internet. The game sends UDP packets to update the servers about the gamers' actions while they are playing in multiplayer mode. Your game backend can scale over multiple virtual machines (VMs), and you want to expose the VMs over a single IP address. What should you do?

Answer: B

Explanation:
Explanation
cell phones are sending UDP packets and the only that can receive that type of traffic is a External Network TCP/UDP https://cloud.google.com/load-balancing/docs/network
https://cloud.google.com/load-balancing/docs/choosing-load-balancer#lb-decision-tree


NEW QUESTION # 288
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: D

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 # 289
A company wants to build an application that stores images in a Cloud Storage bucket and wants to generate thumbnails as well as resize the images. They want to use a google managed service that can scale up and scale down to zero automatically with minimal effort. You have been asked to recommend a service. Which GCP service would you suggest?

Answer: A

Explanation:
Text Description automatically generated with low confidence

Cloud Functions is Google Cloud's event-driven serverless compute platform. It automatically scales based on the load and requires no additional configuration. You pay only for the resources used.
Ref: https://cloud.google.com/functions
While all other options i.e. Google Compute Engine, Google Kubernetes Engine, Google App Engine support autoscaling, it needs to be configured explicitly based on the load and is not as trivial as the scale up or scale down offered by Google's cloud functions.


NEW QUESTION # 290
You need to set up permissions for a set of Compute Engine instances to enable them to write data into a particular Cloud Storage bucket. You want to follow Google-recommended practices. What should you do?

Answer: B

Explanation:
Explanation/Reference: https://towardsdatascience.com/enlightened-datalab-notebooks-35ce8ef374c0


NEW QUESTION # 291
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