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| Section | Weight | Objectives |
|---|
| Configuring Access and Security | 15-20% | - Viewing audit logs
- 1. Accessing and analyzing Cloud Audit Logs
- 2. Configuring audit log policies
- Managing IAM resources
- 1. Defining custom IAM roles
- 2. Applying IAM policies to resources
- 3. Creating and managing IAM roles
- Managing service accounts
- 1. Creating and managing service accounts
- 2. Assigning service accounts to resources
- 3. Using service account keys
|
| 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
|
| 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. Creating billing accounts
- 2. Setting up budget alerts and notifications
- 3. Linking billing to projects
|
| Ensuring Successful Operation | 15-20% | - Managing logging and monitoring
- 1. Viewing and analyzing logs
- 2. Using Cloud Monitoring and Logging
- 3. Creating metrics and alerts
- Managing Kubernetes Engine resources
- 1. Managing workloads (Deployments, Services, HPA)
- 2. Scaling clusters and node pools
- 3. Upgrading clusters
- Managing storage and data solutions
- 1. Configuring CORS and encryption
- 2. Setting lifecycle policies
- 3. Managing Cloud Storage buckets and objects
- Managing Compute Engine resources
- 1. Attaching and detaching disks
- 2. Managing instances, disks, and snapshots
- 3. Resizing instances and persistent disks
- Managing Cloud Run resources
- 1. Configuring resource limits
- 2. Managing revisions and traffic splitting
|
| Deploying and Implementing a Cloud Solution | 20-25% | - Deploying and managing Cloud Functions
- 1. Creating and triggering Cloud Functions
- 2. Configuring triggers and environment variables
- Deploying and managing Kubernetes Engine resources
- 1. Deploying workloads with Deployments and Services
- 2. Configuring kubectl for cluster access
- 3. Creating and managing GKE clusters
- Deploying and managing Compute Engine resources
- 1. Creating and managing custom machine types
- 2. Creating and managing instances with startup scripts
- 3. Creating and managing managed instance groups
- Deploying applications with Cloud Deployment Manager
- 1. Creating deployment configurations
- 2. Using templates for resource provisioning
- Deploying and managing Cloud Run resources
- 1. Configuring memory limits and scaling settings
- 2. Deploying containerized applications to Cloud Run
|
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Google Associate Cloud Engineer Exam Sample Questions (Q321-Q326):
NEW QUESTION # 321
You want to configure an SSH connection to a single Compute Engine instance for users in the dev1 group. This instance is the only resource in this particular Google Cloud Platform project that the dev1 users should be able to connect to. What should you do?
- A. Set metadata to enable-oslogin=truefor the instance. Set the service account to no service accountfor that instance. Direct them to use the Cloud Shell to ssh to that instance.
- B. Enable block project wide keysfor the instance. Generate an SSH key for each user in the dev1 group. Distribute the keys to dev1 users and direct them to use their third-party tools to connect.
- C. Enable block project wide keysfor the instance. Generate an SSH key and associate the key with that instance. Distribute the key to dev1 users and direct them to use their third-party tools to connect.
- D. Set metadata to enable-oslogin=truefor the instance. Grant the dev1 group the compute.osLoginrole. Direct them to use the Cloud Shell to ssh to that instance.
Answer: D
NEW QUESTION # 322
You are asked to set up application performance monitoring on Google Cloud projects A, B, and C as a single pane of glass. You want to monitor CPU, memory, and disk. What should you do?
- A. Enable API and then give the metrics.reader role to projects A, B, and C.
- B. Enable API and then use default dashboards to view all projects in sequence.
- C. Enable API and then share charts from project A, B, and C.
- D. Enable API, create a workspace under project A, and then add project B and C.
Answer: D
Explanation:
Explanation
https://cloud.google.com/monitoring/settings/multiple-projects
https://cloud.google.com/monitoring/workspaces
NEW QUESTION # 323
You are hosting an application on bare-metal servers in your own data center. The application needs access to Cloud Storage. However, security policies prevent the servers hosting the application from having public IP addresses or access to the internet. You want to follow Google-recommended practices to provide the application with access to Cloud Storage. What should you do?
- A. 1. Use Migrate for Compute Engine (formerly known as Velostrata) to migrate those servers to Compute Engine.2. Create an internal load balancer (ILB) that uses storage.googleapis.com as backend.
3. Configure your new instances to use this ILB as proxy. - B. 1. Using Cloud VPN, create a VPN tunnel to a Virtual Private Cloud (VPC) in Google Cloud Platform (GCP).2. In this VPC, create a Compute Engine instance and install the Squid proxy server on this instance.3. Configure your servers to use that instance as a proxy to access Cloud Storage.
- C. 1. Using Cloud VPN or Interconnect, create a tunnel to a VPC in GCP.2. Use Cloud Router to create a custom route advertisement for 199.36.153.4/30. Announce that network to your on-premises network through the VPN tunnel.3. In your on-premises network, configure your DNS server to resolve *.googleapis.com as a CNAME to restricted.googleapis.com.
- D. 1. Use nslookup to get the IP address for storage.googleapis.com.2. Negotiate with the security team to be able to give a public IP address to the servers.3. Only allow egress traffic from those servers to the IP addresses for storage.googleapis.com.
Answer: C
Explanation:
Our requirement is to follow Google recommended practices to achieve the end result. Configuring Private Google Access for On-Premises Hosts is best achieved by VPN/Interconnect + Advertise Routes + Use restricted Google IP Range.
* Using Cloud VPN or Interconnect, create a tunnel to a VPC in GCP
* Using Cloud Router to create a custom route advertisement for 199.36.153.4/30. Announce that network to your on-premises network through the VPN tunnel.
* In your on-premises network, configure your DNS server to resolve *.googleapis.com as a CNAME to restricted.googleapis.com is the right answer right, and it is what Google recommends.
Ref: https://cloud.google.com/vpc/docs/configure-private-google-access-hybrid
* You must configure routes so that Google API traffic is forwarded through your Cloud VPN or Cloud Interconnect connection, firewall rules on your on-premises firewall to allow the outgoing traffic, and DNS so that traffic to Google APIs resolves to the IP range youve added to your routes.
* You can use Cloud Router Custom Route Advertisement to announce the Restricted Google APIs IP addresses through Cloud Router to your on-premises network. The Restricted Google APIs IP range is
199.36.153.4/30. While this is technically a public IP range, Google does not announce it publicly. This IP range is only accessible to hosts that can reach your Google Cloud projects through internal IP ranges, such as through a Cloud VPN or Cloud Interconnect connection. Without having a public IP address or access to the internet, the only way you could connect to cloud storage is if you have an internal route to it.
* So Negotiate with the security team to be able to give public IP addresses to the servers is not right.
Following Google recommended practices is synonymous with using Googles services (Not quite, but it is at least for the exam !!).
* So In this VPC, create a Compute Engine instance and install the Squid proxy server on this instance is not right.
* Migrating the VM to Compute Engine is a bit drastic when Google says it is perfectly fine to have Hybrid Connectivity architectures https://cloud.google.com/hybrid-connectivity.
So,
* Use Migrate for Compute Engine (formerly known as Velostrata) to migrate these servers to Compute Engine is not right.
NEW QUESTION # 324
You need to monitor resources that are distributed over different projects in Google Cloud Platform. You want to consolidate reporting under the same Stackdriver Monitoring dashboard.
What should you do?
- A. Configure a single Stackdriver account, and link all projects to the same account.
- B. Configure a single Stackdriver account for one of the projects. In Stackdriver, create a Group and add the other project names as criteria for that Group.
- C. For each project, create a Stackdriver account. In each project, create a service account for that project and grant it the role of Stackdriver Account Editor in all other projects.
- D. Use Shared VPC to connect all projects, and link Stackdriver to one of the projects.
Answer: A
Explanation:
https://cloud.google.com/monitoring/workspaces/create#add-monitored-project
NEW QUESTION # 325
You deployed a new application inside your Google Kubernetes Engine cluster using the YAML file specified below.

You check the status of the deployed pods and notice that one of them is still in PENDING status:

You want to find out why the pod is stuck in pending status. What should you do?
- A. Review details of the myapp-deployment Deployment object and check for error messages.
- B. Review details of the myapp-service Service object and check for error messages.
- C. Review details of myapp-deployment-58ddbbb995-lp86m Pod and check for warning messages.
- D. View logs of the container in myapp-deployment-58ddbbb995-lp86m pod and check for warning messages.
Answer: C
Explanation:
https://kubernetes.io/docs/tasks/debug-application-cluster/debug-application/#debugging-pods
NEW QUESTION # 326
......
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