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Google Associate-Cloud-Engineer Exam Syllabus Topics:

SectionWeightObjectives
Configuring Access and Security15-20%- Viewing audit logs
  • 1. Configuring audit log policies
  • 2. Accessing and analyzing Cloud Audit Logs
- Managing service accounts
  • 1. Creating and managing service accounts
  • 2. Assigning service accounts to resources
  • 3. Using service account keys
- Managing IAM resources
  • 1. Creating and managing IAM roles
  • 2. Applying IAM policies to resources
  • 3. Defining custom IAM roles
Planning and Configuring a Cloud Solution20-25%- 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 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. Selecting appropriate storage classes
  • 2. Choosing between Cloud Storage, Filestore, Persistent Disk
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 Compute Engine resources
  • 1. Creating and managing custom machine types
  • 2. Creating and managing managed instance groups
  • 3. Creating and managing instances with startup scripts
- Deploying and managing Kubernetes Engine resources
  • 1. Deploying workloads with Deployments and Services
  • 2. Creating and managing GKE clusters
  • 3. Configuring kubectl for cluster access
- 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
Ensuring Successful Operation15-20%- Managing logging and monitoring
  • 1. Viewing and analyzing logs
  • 2. Creating metrics and alerts
  • 3. Using Cloud Monitoring and Logging
- Managing Compute Engine resources
  • 1. Managing instances, disks, and snapshots
  • 2. Attaching and detaching disks
  • 3. Resizing instances and persistent disks
- Managing Cloud Run resources
  • 1. Configuring resource limits
  • 2. Managing revisions and traffic splitting
- Managing storage and data solutions
  • 1. Configuring CORS and encryption
  • 2. Setting lifecycle policies
  • 3. Managing Cloud Storage buckets and objects
- Managing Kubernetes Engine resources
  • 1. Upgrading clusters
  • 2. Scaling clusters and node pools
  • 3. Managing workloads (Deployments, Services, HPA)
Setting Up a Cloud Solution Environment20-25%- Setting up cloud projects and accounts
  • 1. Assigning IAM roles to users and groups
  • 2. Creating and managing projects
  • 3. Managing billing budgets and alerts
- Managing billing configuration
  • 1. Creating billing accounts
  • 2. Linking billing to projects
  • 3. Setting up budget alerts and notifications

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Google Associate Cloud Engineer Exam Sample Questions (Q192-Q197):

NEW QUESTION # 192
The DevOps group in your organization needs full control of Compute Engine resources in your development project. However, they should not have permission to create or update any other resources in the project. You want to follow Google's recommendations for setting permissions for the DevOps group. What should you do?

Answer: C


NEW QUESTION # 193
You need to migrate invoice documents stored on-premises to Cloud Storage. The documents have the following storage requirements:
* Documents must be kept for five years.
* Up to five revisions of the same invoice document must be stored, to allow for corrections.
* Documents older than 365 days should be moved to lower cost storage tiers.
You want to follow Google-recommended practices to minimize your operational and development costs.
What should you do?

Answer: B

Explanation:
https://cloud.google.com/storage/docs/object-versioning


NEW QUESTION # 194
You have a number of compute instances belonging to an unmanaged instances group. You need to SSH to one of the Compute Engine instances to run an ad hoc script. You've already authenticated gcloud, however, you don't have an SSH key deployed yet. In the fewest steps possible, what's the easiest way to SSH to the instance?

Answer: A

Explanation:
gcloud compute ssh ensures that the user's public SSH key is present in the project's metadata. If the user does not have a public SSH key, one is generated using ssh-keygen and added to the project's metadata. This is similar to the other option where we copy the key explicitly to the project's metadata but here it is done automatically for us. There are also security benefits with this approach. When we use gcloud compute ssh to connect to Linux instances, we are adding a layer of security by storing your host keys as guest attributes.
Storing SSH host keys as guest attributes improve the security of your connections by helping to protect against vulnerabilities such as man-in-the-middle (MITM) attacks. On the initial boot of a VM instance, if guest attributes are enabled, Compute Engine stores your generated host keys as guest attributes.
Compute Engine then uses these host keys that were stored during the initial boot to verify all subsequent connections to the VM instance.
Ref: https://cloud.google.com/compute/docs/instances/connecting-to-instance Ref: https://cloud.google.com/sdk/gcloud/reference/compute/ssh


NEW QUESTION # 195
Your Dataproc cluster runs in a single Virtual Private Cloud (VPC) network in a single subnet with range 172.16.20.128/25. There are no private IP addresses available in the VPC network. You want to add new VMs to communicate with your cluster using the minimum number of steps. What should you do?

Answer: C

Explanation:
A subnet has a single primary IP address range and, optionally, one or more secondary IP address ranges. For each subnet IP address range, Google Cloud creates a subnet route. When you use VPC Network Peering, Google Cloud always exchanges the subnet routes that don't use privately reused public IP addresses between the two peered networks. If firewall rules in each network permit communication, VM instances in one network can communicate with instances in the peered network.


NEW QUESTION # 196
You are building an application that stores relational data from users. Users across the globe will use this application. Your CTO is concerned about the scaling requirements because the size of the user base is unknown. You need to implement a database solution that can scale with your user growth with minimum configuration changes. Which storage solution should you use?

Answer: A

Explanation:
Cloud Spanner because Relational database, scale across regions for workloads that have more stringent availability requirements, Handles large amounts of data and for high transactional consistency.
https://cloud.google.com/blog/topics/developers-practitioners/databases-google-cloud-part-2- options-glance/


NEW QUESTION # 197
......

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