Introduction
Associate Cloud Engineer
An Associate Cloud Engineer deploys applications, monitors operations, and manages enterprise solutions. This individual is able to use Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud.
The Associate Cloud Engineer exam assesses your ability to:
- Set up a cloud solution environment
- Plan and configure a cloud solution
- Deploy and implement a cloud solution
- Ensure successful operation of a cloud solution
- Configure access and security
About this certification exam :
This exam objectively measures an individual’s ability to demonstrate the critical job skills for the role. To earn this certification you must pass the Associate Cloud Engineer exam. The format is multiple choice and multiple select. The exam has no prerequisites. This exam must be taken in-person at one of our testing center locations
Workshop Outline :
- Setting up a cloud solution environment
- Planning and configuring a cloud solution
- Deploying and implementing a cloud solution
- Ensuring successful operation of a cloud solution
- Configuring access and security
Workshop Content
Section 1 : Setting up a cloud solution environment
1.1 – Setting up cloud projects and Activities include :
- Creating projects.
- Assigning users to pre-defined IAM roles within a project.
- Linking users to G Suite identities.
- Enabling APIs within projects.
- Provisioning one or more Stackdriver accounts.
1.2 – Managing billing Activities include :
- Creating one or more billing accounts.
- Linking projects to a billing account.
- Establishing billing budgets and alerts.
- Setting up billing exports to estimate daily/monthly charges.
1.3 – Installing and configuring the command line interface (CLI), specifically the Cloud SDK (e.g., setting the default project).
Section 3 : Deploying and implementing a cloud solution
3.1 – Deploying and implementing Compute Engine Tasks include :
- Launching a compute instance using Cloud Console and Cloud SDK (gcloud) (e.g., assign disks, availability policy, SSH keys).
- Creating an autoscaled managed instance group using an instance
- Generating/uploading a custom SSH key for instances
- Configuring a VM for Stackdriver monitoring and
- Assessing compute quotas and requesting
- Installing the Stackdriver Agent for monitoring and logging.
3.2 – Deploying and implementing Kubernetes Engine resources. Tasks include :
- Deploying a Kubernetes Engine cluster.
- Deploying a container application to Kubernetes Engine using pods.
- Configuring Kubernetes Engine application monitoring and logging.
3.3 – Deploying and implementing App Engine and Cloud Functions resources. Tasks include :
- Deploying an application to App Engine (e.g., scaling configuration, versions, and traffic splitting).
- Deploying a Cloud Function that receives Google Cloud events (e.g., Cloud Pub/Sub events, Cloud Storage object change notification events).
3.4 – Deploying and implementing data solutions. Tasks include :
- Initializing data systems with products (e.g., Cloud SQL, Cloud Datastore, BigQuery, Cloud Spanner, Cloud Pub/Sub, Cloud Bigtable, Cloud Dataproc, Cloud Storage).
- Loading data (e.g., Command line upload, API transfer, Import / export, load data from Cloud Storage, streaming data to Cloud Pub/Sub).
3.5 – Deploying and implementing networking Tasks include :
- Creating a VPC with subnets. (e.g., Custom-mode VPC, Shared VPC).
- Launching a Compute Engine instance with custom network configuration (e.g., Internal- only IP address, Google private access, Static external and private IP address, network tags).
- Creating ingress and egress firewall rules for a VPC (e.g., IP subnets, Tags, Service accounts).
- Creating a VPN between a Google VPC and an external network using Cloud
- Creating a load balancer to distribute application network traffic to an application (e.g., Global HTTP(S) load balancer, Global SSL Proxy load balancer, Global TCP Proxy load balancer, Regional Network load balancer, Regional Internal load balancer).
3.6 – Deploying a Solution using Cloud Tasks include :
- Browsing Cloud Launcher catalog and viewing solution details.
- Deploying a Cloud Launcher marketplace solution.
3.7 – Deploying an Application using Deployment Manager. Tasks include
- Developing Deployment Manager templates to automate deployment of an application.
- Launching a Deployment Manager template to provision GCP resources and configure an application automatically.
Section 5 : Configuring access and security
5.1 – Managing Identity and Access Management (IAM). Tasks include :
- Viewing account IAM
- Assigning IAM roles to accounts or Google
- Defining custom IAM
5.2 – Managing service Tasks include :
- Managing service accounts with limited
- Assigning a service account to VM
- Granting access to a service account in another
5.3 – Viewing audit logs for project and managed
Section 2 : Planning and configuring a cloud solution
2.1 – Planning and estimating GCP product use using the Pricing Calculator.
2.2 – Planning and configuring compute Considerations include :
- Selecting appropriate compute choices for a given workload (e.g., Compute Engine, Kubernetes Engine, App Engine).
- Using preemptible VMs and custom machine types as appropriate.
2.3 – Planning and configuring data storage options. Considerations include :
- Product choice (e.g., Cloud SQL, BigQuery, Cloud Spanner, Cloud Bigtable)
- Choosing storage options (e.g., Regional, Multi-regional, Nearline, Coldline)
2.4 – Planning and configuring network resources. Tasks include :
- Differentiating load balancing options.
- Identifying resource locations in a network for availability.
- Configuring Cloud DNS.
Section 4 : Ensuring successful operation of a cloud solution
4.1 – Managing Compute Engine Tasks include :
- Managing a single VM instance (e.g., start, stop, edit configuration, or delete an instance).
- SSH/RDP to the instance
- Attaching a GPU to a new instance and installing CUDA libraries.
- Viewing current running VM Inventory (instance IDs, details).
- Working with snapshots (e.g., create a snapshot from a VM, view snapshots, delete a snapshot).
- Working with Images (e.g., create an image from a VM or a snapshot, view images, delete an image).
- Working with Instance Groups (e.g., set auto scaling parameters, assign instance template, create an instance template, remove instance group).
- Working with management interfaces (e.g., Cloud Console, Cloud Shell, GCloud SDK).
4.2 – Managing Kubernetes Engine Tasks include :
- Viewing current running cluster inventory (nodes, pods, services).
- Browsing the container image repository and viewing container image
- Working with nodes (e.g., add, edit, or remove a node).
- Working with pods (e.g., add, edit, or remove pods).
- Working with services (e.g., add, edit, or remove a service).
- Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK).
4.3 – Managing App Engine Tasks include :
- Adjusting application traffic splitting
- Setting scaling parameters for autoscaling
- Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK).
4.4 Managing data Tasks include :
- Executing queries to retrieve data from data instances (e.g., Cloud SQL, BigQuery, Cloud Spanner, Cloud Datastore, Cloud Bigtable, Cloud Dataproc).
- Estimating costs of a BigQuery
- Backing up and restoring data instances (e.g., Cloud SQL, Cloud Datastore, Cloud Dataproc).
- Reviewing job status in Cloud Dataproc or BigQuery
- Moving objects between Cloud Storage
- Converting Cloud Storage buckets between storage
- Setting object lifecycle management policies for Cloud Storage
- Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK).
4.5 – Managing networking Tasks include :
- Adding a subnet to an existing
- Expanding a CIDR block subnet to have more IP
- Reserving static external or internal IP
- Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK).
4.6 – Monitoring and Tasks include :
- Creating Stackdriver alerts based on resource
- Creating Stackdriver custom
- Configuring log sinks to export logs to external systems (e.g., on premises or BigQuery).
- Viewing and filtering logs in
- Viewing specific log message details in
- Using cloud diagnostics to research an application issue (e.g., viewing Cloud Trace data, using Cloud Debug to view an application point-in-time).
- Viewing Google Cloud Platform
- Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK).
Locations offered
On-demand Anytime Anywhere Instructor led training available
Chennai, Bangalore, Hyderabad, Pune & other major cities in India, US, UK, Middle east, Dubai & Singapore.
Offers
Early bird / Group / Corporate Group / Festive offers available.
