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Google Associate-Cloud-Engineer Exam Syllabus Topics:

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

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Google Associate Cloud Engineer Exam Sample Questions (Q148-Q153):

NEW QUESTION # 148
The storage costs for your application logs have far exceeded the project budget. The logs are currently being retained indefinitely in the Cloud Storage bucket myapp-gcp-ace-logs. You have been asked to remove logs older than 90 days from your Cloud Storage bucket. You want to optimize ongoing Cloud Storage spend.
What should you do?

Answer: A

Explanation:
You write a lifecycle management rule in XML and push it to the bucket with gsutil lifecycle set config-xml-file. is not right.
gsutil lifecycle set enables you to set the lifecycle configuration on one or more buckets based on the configuration file provided. However, XML is not a valid supported type for the configuration file.
Ref: https://cloud.google.com/storage/docs/gsutil/commands/lifecycle
* Write a script that runs gsutil ls -lr gs://myapp-gcp-ace-logs/** to find and remove items older than 90 days. Repeat this process every morning. is not right.
This manual approach is error-prone, time-consuming and expensive. GCP Cloud Storage provides lifecycle management rules that let you achieve this with minimal effort.
* Write a script that runs gsutil ls -l gs://myapp-gcp-ace-logs/** to find and remove items older than 90 days. Schedule the script with cron. is not right.
This manual approach is error-prone, time-consuming and expensive. GCP Cloud Storage provides lifecycle management rules that let you achieve this with minimal effort.
* Write a lifecycle management rule in JSON and push it to the bucket with gsutil lifecycle set
* config-json-file. is the right answer.
You can assign a lifecycle management configuration to a bucket. The configuration contains a set of rules which apply to current and future objects in the bucket. When an object meets the criteria of one of the rules, Cloud Storage automatically performs a specified action on the object. One of the supported actions is to Delete objects. You can set up a lifecycle management to delete objects older than 90 days. gsutil lifecycle set enables you to set the lifecycle configuration on the bucket based on the configuration file. JSON is the only supported type for the configuration file. The config-json-file specified on the command line should be a path to a local file containing the lifecycle configuration JSON document.
Ref: https://cloud.google.com/storage/docs/gsutil/commands/lifecycle
Ref: https://cloud.google.com/storage/docs/lifecycle


NEW QUESTION # 149
Your company is running a critical workload on a single Compute Engine VM instance. Your company's disaster recovery policies require you to backup the entire instance's disk data every day. The backups must be retained for 7 days. You must configure a backup solution that complies with your company's security policies and requires minimal setup and configuration. What should you do?

Answer: C


NEW QUESTION # 150
You are about to deploy a new Enterprise Resource Planning (ERP) system on Google Cloud.
The application holds the full database in-memory for fast data access, and you need to configure the most appropriate resources on Google Cloud for this application. What should you do?

Answer: D

Explanation:
M1 machine type is the one of two Memory-Optimized machine types in GCP.
https://cloud.google.com/compute/docs/machine-types


NEW QUESTION # 151
What's the easiest way to ensure that the nodes in your Kubernetes cluster are always up-to-date with the latest stable version of Kubernetes?

Answer: A


NEW QUESTION # 152
You need to grant access for three users so that they can view and edit table data on a Cloud Spanner instance. What should you do?

Answer: A


NEW QUESTION # 153
......

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