Deploying & Implementing Cloud Solutions
To answer the questions related to this domain, the examinees need to show that they know how to deploy and implement Compute Engine resources, Google Kubernetes Engine resources, App Engine resources, Cloud Run resources, and Cloud Functions resources. Moreover, they should have a good understanding of how to deploy and implement data solutions as well as networking resources. They also need to have the capacity to perform the deployment of a solution with the help of Cloud Marketplace. Additionally, their ability to perform the deployment of application infrastructure with the help of Cloud Deployment Manager is required.
Google Associate-Cloud-Engineer Exam Overview:
| Certification Vendor: | Google Cloud |
| Exam Name: | Google Cloud Associate Cloud Engineer |
| Exam Number: | GCP ACE |
| Real Exam Qty: | 50 |
| Exam Format: | Multiple Choice, Multiple Select |
| Exam Duration: | 120 minutes |
| Passing Score: | 70% |
| Exam Price: | $125 USD |
| Related Certifications: | Professional Cloud Architect Professional Data Engineer Professional Cloud Developer |
| Available Languages: | English, Japanese, Spanish, Portuguese |
| Certificate Validity Period: | 2 years |
| Sample Questions: | Google Associate-Cloud-Engineer Sample Questions |
| Exam Way: | Online proctored or in-person testing center |
| Pre Condition: | No formal prerequisites required. Recommended: hands-on experience with GCP Console and command-line tools, basic understanding of cloud computing concepts. |
| Official Syllabus URL: | https://cloud.google.com/certification/associate-cloud-engineer |
Preparation Process
The candidates for the Google Associate Cloud Engineer certification exam have a variety of preparation options to choose from. Everything that the applicants need to prepare for the qualifying test can be found on the official website. For starters, the learners are recommended to purchase the Official Google Cloud Certified Associate Cloud Engineer Study Guide published by Wiley to get a comprehensive understanding of the topics included in the exam syllabus. The official platform also offers such valuable training tools as sample questions, Cloud Engineer learning path, and webinars guided by the certified experts. Moreover, the individuals can sign up for the Preparing for the Associate Cloud Engineer Examination course to do a final check for the exam readiness. Lastly, they can take advantage of Google Cloud documentation, which contains a great collection of tutorials, guides, and other resources on Google Cloud products.
Reference: https://cloud.google.com/certification/cloud-engineer
Google Associate-Cloud-Engineer Exam Syllabus Topics:
| Section | Weight | Objectives |
| 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. Setting up budget alerts and notifications
- 2. Creating billing accounts
- 3. Linking billing to projects
|
| 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. Applying IAM policies to resources
- 2. Creating and managing IAM roles
- 3. Defining custom IAM roles
- Managing service accounts
- 1. Creating and managing service accounts
- 2. Assigning service accounts to resources
- 3. Using service account keys
|
| Ensuring Successful Operation | 15-20% | - Managing Compute Engine resources
- 1. Managing instances, disks, and snapshots
- 2. Resizing instances and persistent disks
- 3. Attaching and detaching disks
- Managing storage and data solutions
- 1. Configuring CORS and encryption
- 2. Setting lifecycle policies
- 3. Managing Cloud Storage buckets and objects
- Managing logging and monitoring
- 1. Viewing and analyzing logs
- 2. Creating metrics and alerts
- 3. Using Cloud Monitoring and Logging
- Managing Cloud Run resources
- 1. Managing revisions and traffic splitting
- 2. Configuring resource limits
- Managing Kubernetes Engine resources
- 1. Scaling clusters and node pools
- 2. Upgrading clusters
- 3. Managing workloads (Deployments, Services, HPA)
|
| 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. Configuring kubectl for cluster access
- 2. Deploying workloads with Deployments and Services
- 3. Creating and managing GKE clusters
- Deploying and managing Cloud Run resources
- 1. Deploying containerized applications to Cloud Run
- 2. Configuring memory limits and scaling settings
- 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 custom machine types
- 3. Creating and managing instances with startup scripts
|
| 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 compute resources
- 1. Selecting appropriate machine types and zones
- 2. Configuring persistent disks and local SSDs
- Planning and configuring network resources
- 1. Configuring load balancing and firewall rules
- 2. Designing VPC networks
- Planning and configuring data storage options
- 1. Selecting appropriate storage classes
- 2. Choosing between Cloud Storage, Filestore, Persistent Disk
|
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