- 1. What is the purpose of the Google Associate Cloud Engineer Certification Training?This training is designed to help you gain the knowledge and skills required to pass the Google Associate Cloud Engineer certification exam. The course provides hands-on practice and real-world examples, focusing on cloud solution design, deployment, and management.
- 2. Who should attend this training?This training is ideal for IT professionals, cloud engineers, and anyone interested in becoming a Google Associate Cloud Engineer. It is particularly suitable for individuals who want to manage cloud infrastructure, configure Google Cloud resources, and deploy cloud solutions.
- 3. What topics are covered in the training?The training covers the following topics:
- Setting up cloud projects, accounts, and managing billing configurations
- Planning and configuring compute, storage, and network resources
- Deploying and implementing cloud solutions, including Compute Engine, Kubernetes Engine, and Cloud Functions
- Ensuring the successful operation of cloud solutions with monitoring, logging, and scaling
- Configuring access and security using IAM and service accounts
- 4. How is the course structured?The course is divided into five sections, with each section dedicated to a key domain of the Google Cloud platform. Each section includes theory, hands-on practice, and real-world scenarios to ensure participants gain practical knowledge. The training culminates in mock exams to ensure you are prepared for the actual certification exam.
- 5. What will I learn in this training?By the end of the course, participants will:
- Understand how to design and configure Google Cloud solutions
- Gain hands-on experience deploying and managing cloud infrastructure
- Learn how to secure cloud resources using IAM, service accounts, and security best practices
- Be equipped to take and pass the Google Associate Cloud Engineer certification exam
- 6. Do I need any prior experience to attend this training?While prior experience with cloud computing or basic knowledge of Google Cloud Platform (GCP) will be helpful, it’s not mandatory. The training is designed to take you through fundamental concepts and gradually build up to more advanced topics, so beginners are welcome.
- 7. How does this training prepare me for the certification exam?The training is fully aligned with the Google Associate Cloud Engineer exam objectives. By covering all the exam topics in-depth, providing hands-on labs, and offering mock exams, the training ensures that you are well-prepared to take the certification exam.
- 8. What tools and technologies will be covered in this training?The training covers key tools and technologies including:
- Compute Engine, Google Kubernetes Engine (GKE), Cloud Run, and Cloud Functions
- Cloud Storage, BigQuery, Firestore, Cloud SQL, and AlloyDB
- VPC networks, firewall rules, and VPN
- Identity and Access Management (IAM) for managing users and service accounts
- Infrastructure as Code (using Terraform, Helm, Cloud Foundation Toolkit)
- 9. Is this training available online?Yes, the Google Associate Cloud Engineer Certification Training is available both in-person and online. The online mode includes live, interactive sessions to ensure you receive the same level of engagement as the classroom training.
- 10. How do I register for the training, and what are the costs?You can register for the training through the DreamsPlus website or contact us directly at +91 95000 56713 or support@dreamsplus.in for further details. Pricing and upcoming training dates will be provided upon inquiry.
Google Cloud
Associate Cloud Engineer Certification
Unlock cloud career opportunities with DreamsPlus' Google Associate Cloud Engineer training in Chennai (classroom) & online (global).…
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Start Your Cloud Journey with Our Associate Cloud Engineer Certification
DreamsPlus offers comprehensive Google Associate Cloud Engineer Certification Training to help you learn how to design, build, and manage cloud solutions. Our expert trainers provide hands-on practice, real-world examples, and personalized support to ensure your success.
Syllabus:
Section 1: Setting up a cloud solution environment (~20% of the exam)
1.1 Setting up cloud projects and accounts. Considerations include:
- Establishing a hierarchy of resources
- Implementing resource hierarchy policies inside the organization
- Assigning IAM roles to participants in a project
- Handling groups and users in Cloud Identity (both automatically and manually)
- Making APIs available for projects
- Provisioning and configuring items within the operations suite of Google Cloud
- Determining quotas and asking for raises
1.2 Managing billing configuration. Considerations include:
- Establishing one or more accounts for billing
- Connecting a project to an invoice
- Setting up notifications and billing budgets
- Establishing exports for billing
Section 2: Planning and configuring a cloud solution (~17.5% of the exam)
2.1 Planning and configuring compute resources. Considerations include:
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- Choosing the right compute options (such as compute engine, Google Kubernetes engine, cloud run, and cloud functions) for a particular task
- When necessary, employ special machine types and Spot VM instances.
2.2 Planning and configuring data storage options. Considerations include:
- selecting a product (such as BigQuery, Firestore, Spanner, Cloud SQL, etc.)
- Selecting storage options (such as Standard, Nearline, Coldline, Archive, Standard, Regional, and zonal persistent disks)
2.3 Planning and configuring network resources. Considerations include:
- Balance of loads
- The network’s resource locations’ accessibility
- Tiers of Network Services
Section 3: Deploying and implementing a cloud solution (~25% of the exam)
3.1 Deploying and implementing Compute Engine resources. Considerations include:
- Starting a computing instance, including setting up SSH keys, availability policies, and disks
- Using an instance template to create an autoscaled managed instance group
- Setting Up OS Login
- Setting up VM Manager
3.2 Deploying and implementing Google Kubernetes Engine resources. Considerations include:
- Installing and setting up the Kubernetes command line interface (kubectl)
- Setting up separate Google Kubernetes Engine cluster configurations (Autopilot, regional clusters, private clusters, GKE Enterprise, etc.)
- Installing a Google Kubernetes Engine containerized program
3.3 Deploying and implementing Cloud Run and Cloud Functions resources. Considerations include:
- Launching an application
- Setting up an application to receive events from Google Cloud (such as Pub/Sub events, Cloud Storage object change notification events, and Eventarc, among others)
- Where to use Cloud Run (fully managed), Cloud Run for Anthos, or Cloud Functions to deploy an application
3.4 Deploying and implementing data solutions. Considerations include:
- Setting up data products (such as AlloyDB, Cloud SQL, Firestore, BigQuery, Spanner, Pub/Sub, Dataflow, and Cloud Storage)
- Loading data (using Storage Transfer Service, Cloud Storage, command line upload, etc.)
3.5 Deploying and implementing networking resources. Considerations include:
- Establishing a virtual private cloud (VPC) using subnets (such as a shared or custom mode VPC)
- Developing firewall rules and policies for entrance and egress (such as IP subnets, network tags, and service accounts).
- Peering over external networks (such as VPC Network Peering and Cloud VPN)
3.6 Implementing resources through infrastructure as code. Considerations include:
- Infrastructure as code tooling, such as Terraform, Helm, Config Connector, and Cloud Foundation Toolkit
Section 4: Ensuring successful operation of a cloud solution (~20% of the exam)
4.1 Managing Compute Engine resources. Considerations include:
- Connecting to the instance remotely
- Seeing the inventory of operating virtual machines (e.g., instance IDs, information)
- Working with snapshots: creating, viewing, deleting, scheduling, and creating a snapshot from a virtual machine
- Working with images: creating, viewing, deleting, and creating an image from a snapshot or virtual machine
4.2 Managing Google Kubernetes Engine resources. Considerations include:
- Examining the cluster inventory that is currently in use (such as nodes, pods, and services)
- Setting up Google Kubernetes Engine for Artifact Registry Access
- Managing node pools, such as adding, modifying, or eliminating one
- Using Kubernetes resources (such as pods, services, and statefulsets)
- Handling setups for both horizontal and vertical autoscaling
4.3 Managing Cloud Run resources. Considerations include:
- Updating application traffic splitting parameters
- Implementing new application versions
- Configuring scaling parameters for autoscaling instances
4.4 Managing storage and database solutions. Considerations include:
- Organizing and safeguarding items within cloud storage containers
- Establishing policies for item lifecycle management in cloud storage buckets
- Running queries on data instances (such as Cloud SQL, BigQuery, Spanner, Firestore, and AlloyDB) in order to obtain data
- Calculating the price of data storage resources
- Restoring and backing up database instances (such as Firestore and Cloud SQL).
- Examining the status of the job (such as Dataflow, BigQuery)
4.5 Managing networking resources. Considerations include:
- Adding a subnet to a VPC that already exists
- Adding more IP addresses to a subnet
- Setting aside static IP addresses, either internal or external
- Utilizing cloud DNS and cloud NAT services
4.6 Monitoring and logging. Considerations include:
- Producing warnings for cloud monitoring by using resource metrics
- Developing and consuming custom metrics for cloud monitoring (from logs or applications, for example)
- Exporting logs to third-party systems (like BigQuery and on-premises systems)
- Setting up log routers, log analytics, and log buckets
- Using cloud logging to see and filter logs
- Examining particular log message information in cloud logging
- Examining an application problem with cloud diagnostics
- Checking the status of Google Cloud
- Setting up and implementing Ops Agent
- Implementing Prometheus Managed Service
- Setting up audit logs
Section 5: Configuring access and security (~17.5% of the exam)
5.1 Managing Identity and Access Management (IAM). Considerations include
- Managing the different role types and defining custom IAM roles (such as basic, predefined, and custom)
- Seeing and setting IAM policies
5.2 Managing service accounts. Considerations include:
- Establishing service accounts
- using service accounts in IAM rules with restricted access
- designating service accounts to resources
- Overseeing a service account’s IAM
- Handling the impersonation of service accounts
- Establishing and maintaining temporary service account login credentials
FAQs for Google Associate Cloud Engineer Certification
What Will You Learn?
- Expert Trainers : Our trainers have a lot of industry experience and advanced certifications. They know cloud technologies well and will teach you practical skills that you can use on the job.
- Personalized Attention : We keep our class sizes small so that you get more personalized attention. This helps you learn better and gives you the chance to ask questions and participate in discussions.
- Flexible Learning : We offer flexible learning options, including both classroom and online modes. You can choose the option that fits your schedule and learning style, making it easier for you to complete your Google Associate Cloud Engineer certification.
Course Curriculum
Career Benefits:
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Enhance Employability with a Global Certification : Getting the Google Associate Cloud Engineer certification makes you more attractive to employers. This well-known certification shows that you have the skills and knowledge needed in the cloud industry, helping you stand out in the job market.
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Boost Cloud Skills for Career Growth : Our training program helps you improve your cloud skills, making you better at designing, deploying, and managing cloud solutions. These skills can lead to career advancement, higher-paying jobs, and new opportunities within your organization.
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Network with Peers and Experts : You’ll also have the chance to connect with other learners and industry experts. Networking can help you share ideas, learn from others, and open up new career opportunities in the cloud field.
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