Associate Cloud Engineer Certification

Google Associate Cloud Engineer Certification Training

DreamsPlus offers comprehensive Google Associate Cloud Engineer Certification Training in Singapore to give you the skills you need to design , build and manage cloud solutions . You will work in real-world contexts, gain practical, hands-on experience, and receive personal support from knowledgeable instructors to develop a successful certification path. Whether you want to enhance your cloud engineering skills or pursue a cloud career in Singapore’s burgeoning tech industry, this training will help you succeed.

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:

• • 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