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Google Associate-Cloud-Engineer Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Setting Up a Cloud Solution Environment20-25%- Setting up cloud projects and accounts
  • 1. Managing billing budgets and alerts
  • 2. Assigning IAM roles to users and groups
  • 3. Creating and managing projects
- Managing billing configuration
  • 1. Setting up budget alerts and notifications
  • 2. Creating billing accounts
  • 3. Linking billing to projects
Topic 2: Planning and Configuring a Cloud Solution20-25%- Planning and configuring compute resources
  • 1. Configuring persistent disks and local SSDs
  • 2. Selecting appropriate machine types and zones
- Planning and estimating GCP product usage
  • 1. Reading documentation for compute, storage, and network resources
  • 2. Using GCP Pricing Calculator
- Planning and configuring data storage options
  • 1. Choosing between Cloud Storage, Filestore, Persistent Disk
  • 2. Selecting appropriate storage classes
- Planning and configuring network resources
  • 1. Designing VPC networks
  • 2. Configuring load balancing and firewall rules
Topic 3: Configuring Access and Security15-20%- Managing service accounts
  • 1. Using service account keys
  • 2. Creating and managing service accounts
  • 3. Assigning service accounts to resources
- Managing IAM resources
  • 1. Defining custom IAM roles
  • 2. Applying IAM policies to resources
  • 3. Creating and managing IAM roles
- Viewing audit logs
  • 1. Accessing and analyzing Cloud Audit Logs
  • 2. Configuring audit log policies
Topic 4: Deploying and Implementing a Cloud Solution20-25%- Deploying and managing Cloud Run resources
  • 1. Deploying containerized applications to Cloud Run
  • 2. Configuring memory limits and scaling settings
- Deploying and managing Kubernetes Engine resources
  • 1. Creating and managing GKE clusters
  • 2. Configuring kubectl for cluster access
  • 3. Deploying workloads with Deployments and Services
- 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. Using templates for resource provisioning
  • 2. Creating deployment configurations
- Deploying and managing Cloud Functions
  • 1. Creating and triggering Cloud Functions
  • 2. Configuring triggers and environment variables
Topic 5: Ensuring Successful Operation15-20%- Managing Cloud Run resources
  • 1. Configuring resource limits
  • 2. Managing revisions and traffic splitting
- Managing logging and monitoring
  • 1. Using Cloud Monitoring and Logging
  • 2. Creating metrics and alerts
  • 3. Viewing and analyzing logs
- Managing Kubernetes Engine resources
  • 1. Upgrading clusters
  • 2. Managing workloads (Deployments, Services, HPA)
  • 3. Scaling clusters and node pools
- Managing Compute Engine resources
  • 1. Resizing instances and persistent disks
  • 2. Attaching and detaching disks
  • 3. Managing instances, disks, and snapshots
- Managing storage and data solutions
  • 1. Configuring CORS and encryption
  • 2. Managing Cloud Storage buckets and objects
  • 3. Setting lifecycle policies

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Google Associate Cloud Engineer Exam Sample Questions (Q309-Q314):

NEW QUESTION # 309
You need to manage a third-party application that will run on a Compute Engine instance. Other Compute Engine instances are already running with default configuration. Application installation files are hosted on Cloud Storage. You need to access these files from the new instance without allowing other virtual machines (VMs) to access these files. What should you do?

Answer: A

Explanation:
If an application uses third-party or custom identities and needs to access a resource, such as a BigQuery dataset or a Cloud Storage bucket, it must perform a transition between principals.
Because Google Cloud APIs don't recognize third-party or custom identities, the application can't propagate the end-user's identity to BigQuery or Cloud Storage. Instead, the application has to perform the access by using a different Google identity.
https://cloud.google.com/iam/docs/best-practices-for-using-and-managing-service-accounts


NEW QUESTION # 310
You have been asked to create robust Virtual Private Network (VPN) connectivity between a new Virtual Private Cloud (VPC) and a remote site. Key requirements include dynamic routing, a shared address space of
10.19.0.1/22, and no overprovisioning of tunnels during a failover event. You want to follow Google-recommended practices to set up a high availability Cloud VPN. What should you do?

Answer: C


NEW QUESTION # 311
You need to deploy an application, which is packaged in a container image, in a new project. The application exposes an HTTP endpoint and receives very few requests per day. You want to minimize costs. What should you do?

Answer: C

Explanation:
Cloud Run takes any container images and pairs great with the container ecosystem: Cloud Build, Artifact Registry, Docker. ... No infrastructure to manage: once deployed, Cloud Run manages your services so you can sleep well. Fast autoscaling. Cloud Run automatically scales up or down from zero to N depending on traffic.
https://cloud.google.com/run


NEW QUESTION # 312
You need to create a custom IAM role for use with a GCP service. All permissions in the role must be suitable for production use. You also want to clearly share with your organization the status of the custom role. This will be the first version of the custom role. What should you do?

Answer: A

Explanation:
You need a custom role with permissions supported in prod and you want to publish the status of the role.
https://cloud.google.com/iam/docs/custom-roles-permissions-support
SUPPORTED The permission is fully supported in custom roles.
TESTING The permission is being tested to check its compatibility with custom roles. You can include the permission in custom roles, but you might see unexpected behavior. Not recommended for production use.
NOT_SUPPORTED The permission is not supported in custom roles.
You can't use TESTING as it is not good for prod. And you need first version which should be ALPHA.


NEW QUESTION # 313
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?

Answer: A

Explanation:
When you intially click on Monitoring(Stackdriver Monitoring) it creates a workspac(a stackdriver account) linked to the ACTIVE(CURRENT) Project from which it was clicked.
Now if you change the project and again click onto Monitoring it would create an another workspace(a stackdriver account) linked to the changed ACTIVE(CURRENT) Project, we don't want this as this would not consolidate our result into a single dashboard(workspace/stackdriver account).
If you have accidently created two diff workspaces merge them under Monitoring > Settings > Merge Workspaces > MERGE.
If we have only one workspace and two projects we can simply add other GCP Project under Monitoring > Settings > GCP Projects > Add GCP Projects.
https://cloud.google.com/monitoring/settings/multiple-projects
Nothing about groupshttps://cloud.google.com/monitoring/settings?hl=en


NEW QUESTION # 314
......

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