How to plan and clear Google Cloud Associate Cloud Enginner Certificate – Legendshub Blog

Everyone is looking to add another feather into the hat by clearing GCP (Google Cloud Certifications). Today i will put my plan forward to clear the Google cloud associate exam which i recently appeared in and passed. To start with put the Exam guide in excel and follow the under discussed way of preparing each pointer.

1.) First step should be to browse Exam Guide for all the relevant scope of exam. Copy it to excel.

2.) Start one by one , first practice every step in Google cloud free tier account which will make sure you have operational details of each topic covered.

3.) Simultaneously go through Google documentation for each topic which will help you to enhance theoretical details for each option on implementation . One need to keep in find that Google exam is more easy to people who have done hands on either any Public cloud such as AWS/Azure or people who have  container experience.

GCL

4.) After doing all the exam guide focus on Practice exam and try to relate the weight age of each topic.

5.) I have mentioned the exam guide links for GCP documentation which i have used for my certification and see if it is helpful to you guys. I will keep it updating for some of the remaining sections.

1 . Setting up cloud projects and accounts. Activities include:
Creating projects – gcloud projects create test12345, gcloud config set project test12345 (https://cloud.google.com/resource-manager/docs/creating-managing-projects)
Assigning users to predefined IAM roles within a project –  gcloud projects add-iam-policy-binding my-project
–member user:alice@example.com –role roles/viewer  (https://cloud.google.com/iam/docs/understanding-roles)
Managing users in Cloud Identity (manually and automated) – (https://cloud.google.com/identity/docs/how-to/groups)
Enabling APIs within projects – gcloud services list –available gcloud services enable Cloud Identity API
Provisioning one or more Stackdriver workspaces – (https://cloud.google.com/monitoring/workspaces/)
1.2 Managing billing configuration. Activities include:
Creating one or more billing accounts – (https://cloud.google.com/billing/docs/concepts) ( https://cloud.google.com/billing/docs/how-to/billing-access)
Linking projects to a billing account – gcloud alpha billing accounts list or link projectname –billing-account name (https://cloud.google.com/sdk/gcloud/reference/alpha/billing/accounts/projects/link)
Establishing billing budgets and alerts – (https://cloud.google.com/billing/docs/how-to/budgets)
Setting up billing exports to estimate daily/monthly charges – (https://cloud.google.com/billing/docs/how-to/export-data-bigquery)
1.3 Installing and configuring the command line interface (CLI), specifically the Cloud SDK (e.g., setting the default project). – (https://cloud.google.com/sdk/gcloud/reference/config/set)
2. Planning and configuring a cloud solution
2.1 Planning and estimating GCP product use using the Pricing Calculator – (https://cloud.google.com/products/calculator/)
2.2 Planning and configuring compute resources. Considerations include: – (https://medium.com/@prashantapaudel/google-cloud-platform-gcp-2-2-planning-and-configuring-compute-resources-47332d8309a5)
Selecting appropriate compute choices for a given workload (e.g., Compute Engine, Google Kubernetes Engine, App Engine, Cloud Run, Cloud Functions) – (https://cloud.google.com/blog/products/gcp/choosing-the-right-compute-option-in-gcp-a-decision-tree)
Using preemptible VMs and custom machine types as appropriate – (https://cloud.google.com/compute/docs/instances/preemptible)
2.3 Planning and configuring data storage options. Considerations include: (https://cloud.google.com/products/storage/)
Product choice (e.g., Cloud SQL, BigQuery, Cloud Spanner, Cloud Bigtable) – (https://weidongzhou.wordpress.com/2017/06/10/google-cloud-sql-vs-cloud-datastore-vs-bigtable-vs-bigquery-vs-spanner/)
Choosing storage options (e.g., regional, multi-regional, nearline, coldline) -(https://www.cloudberrylab.com/resources/blog/google-cloud-nearline-storage-vs-coldline-vs-standard/)
2.4 Planning and configuring network resources. Tasks include: – (https://medium.com/@prashantapaudel/gcp-certification-series-2-4-planning-and-configuring-network-resources-8045ac2cc2ac)
Differentiating load balancing options – (https://cloud.google.com/load-balancing/docs/choosing-load-balancer)
Identifying resource locations in a network for availability – (https://cloud.google.com/compute/docs/regions-zones/)
Configuring Cloud DNS – (https://cloud.google.com/dns/docs/quickstart)
3. Deploying and implementing a cloud solution
3.1 Deploying and implementing Compute Engine resources. Tasks include:Demo
Launching a compute instance using Cloud Console and Cloud SDK (gcloud) (e.g., assign disks, availability policy, SSH keys) Demo  (gcloud compute instances create myvm)
Creating an autoscaled managed instance group using an instance template Demo
Generating/uploading a custom SSH key for instances – (https://cloud.google.com/compute/docs/instances/adding-removing-ssh-keys)
Configuring a VM for Stackdriver monitoring and logging – Demo
Assessing compute quotas and requesting increases –  (https://cloud.google.com/compute/quotas)
Installing the Stackdriver Agent for monitoring and logging Demo
3.2 Deploying and implementing Google Kubernetes Engine resources. Tasks include: (https://cloud.google.com/kubernetes-engine/docs/tutorials/hello-app)
Deploying a Google Kubernetes Engine cluster : Demo
Deploying a container application to Google Kubernetes Engine using pods : (https://cloud.google.com/kubernetes-engine/docs/tutorials/hello-app)
Configuring Google Kubernetes Engine application monitoring and logging : (https://cloud.google.com/monitoring/kubernetes-engine/)
3.3 Deploying and implementing App Engine, Cloud Run, and Cloud Functions resources. Tasks include, where applicable:
Deploying an application, updating scaling configuration, versions, and traffic splitting – (https://cloud.google.com/appengine/docs/standard/python/splitting-traffic)
Deploying an application that receives Google Cloud events (e.g., Cloud Pub/Sub events, Cloud Storage object change notification events):(https://cloud.google.com/storage/docs/pubsub-notifications)
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 Dataflow, Cloud Storage) – (https://cloud.google.com/docs/compare/aws/)
Loading data (e.g., command line upload, API transfer, import/export, load data from Cloud Storage, streaming data to Cloud Pub/Sub) – (https://cloud.google.com/bigquery/docs/loading-data-cloud-storage) (https://cloud.google.com/storage/docs/boto-gsutil)
3.5 Deploying and implementing networking resources. Tasks include:
Creating a VPC with subnets (e.g., custom-mode VPC, shared VPC) : (https://cloud.google.com/vpc/docs/vpc) (https://cloud.google.com/vpc/docs/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 VPN : (https://cloud.google.com/vpn/docs/concepts/overview)
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 Marketplace. Tasks include:
Browsing Cloud Marketplace catalog and viewing solution details
Deploying a Cloud Marketplace solution
3.7 Deploying application infrastructure using Cloud Deployment Manager. Tasks include:
Developing Deployment Manager templates :(https://cloud.google.com/deployment-manager/docs/step-by-step-guide/create-a-template)
Launching a Deployment Manager template
4. Ensuring successful operation of a cloud solution
4.1 Managing Compute Engine resources. Tasks include:
Managing a single VM instance (e.g., start, stop, edit configuration, or delete an instance): demo -done
SSH/RDP to the instance: demo
Attaching a GPU to a new instance and installing CUDA libraries :(https://cloud.google.com/compute/docs/gpus/add-gpus), (https://medium.com/@jayden.chua/quick-install-cuda-on-google-cloud-compute-6c85447f86a1)
Viewing current running VM inventory (instance IDs, details)
Working with snapshots (e.g., create a snapshot from a VM, view snapshots, delete a snapshot) : (https://cloud.google.com/compute/docs/disks/create-snapshots)
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 autoscaling parameters, assign instance template, create an instance template, remove instance group) 🙁https://cloud.google.com/compute/docs/instance-groups/creating-groups-of-managed-instances)
Working with management interfaces (e.g., Cloud Console, Cloud Shell, GCloud SDK)
4.2 Managing Google Kubernetes Engine resources. Tasks include:
Viewing current running cluster inventory (nodes, pods, services)
Browsing the container image repository and viewing container image details
Working with node pools (e.g., add, edit, or remove a node pool) (https://cloud.google.com/kubernetes-engine/docs/how-to/node-pools)
Working with pods (e.g., add, edit, or remove pods)
Working with services (e.g., add, edit, or remove a service)
Working with stateful applications (e.g. persistent volumes, stateful sets) 🙁https://cloud.google.com/kubernetes-engine/docs/concepts/statefulset)
Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)
4.3 Managing App Engine and Cloud Run resources. Tasks include:
Adjusting application traffic splitting parameters 🙁https://cloud.google.com/appengine/docs/admin-api/migrating-splitting-traffic)
Setting scaling parameters for autoscaling instances 🙁https://cloud.google.com/compute/docs/autoscaler/)
Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)
4.4 Managing storage and database solutions. Tasks include:
Moving objects between Cloud Storage buckets
Converting Cloud Storage buckets between storage classes:(gsutil rewrite -s [STORAGE_CLASS] gs://[PATH_TO_OBJECT])
Setting object life cycle management policies for Cloud Storage buckets (https://cloud.google.com/storage/docs/xml-api/put-bucket-lifecycle)
Executing queries to retrieve data from data instances (e.g., Cloud SQL, BigQuery, Cloud Spanner, Cloud Datastore, Cloud Bigtable)
Estimating costs of a BigQuery query:(https://cloud.google.com/bigquery/docs/estimate-costs)
Backing up and restoring data instances (e.g., Cloud SQL, Cloud Datastore)
Reviewing job status in Cloud Dataproc, Cloud Dataflow, or BigQuery
Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)
4.5 Managing networking resources. Tasks include:
Adding a subnet to an existing VPC
Expanding a subnet to have more IP addresses:(https://cloud.google.com/sdk/gcloud/reference/compute/networks/subnets/expand-ip-range)
Reserving static external or internal IP addresses:(https://medium.com/@prashantapaudel/gcp-certification-series-4-5-managing-networking-resources-b1bd7d47f381) (https://cloud.google.com/compute/docs/ip-addresses/reserve-static-internal-ip-address)
Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)
4.6 Monitoring and logging. Tasks include:
Creating Stackdriver alerts based on resource metrics
Creating Stackdriver custom metrics
Configuring log sinks to export logs to external systems (e.g., on-premises or BigQuery) 🙁https://cloud.google.com/logging/docs/reference/tools/gcloud-logging#exporting_logs)
Viewing and filtering logs in Stackdriver:(https://cloud.google.com/logging/docs/view/advanced-queries)
Viewing specific log message details in Stackdriver
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 status:(https://status.cloud.google.com/)
Working with management interfaces (e.g., Cloud Console, Cloud Shell, Cloud SDK)
5. Configuring access and security
5.1 Managing identity and access management (IAM). Tasks include:
Viewing IAM role assignments 🙁https://cloud.google.com/iam/docs/creating-custom-roles)
Assigning IAM roles to accounts or Google Groups
Defining custom IAM roles
5.2 Managing service accounts. Tasks include:
Managing service accounts with limited privileges
Assigning a service account to VM instances
Granting access to a service account in another project
5.3 Viewing audit logs for project and managed services.

Amrit Pal singh

Designing critical migration from legacy to cloud environments, extending devops approach into analytics, AI/ML to maximize the purpose of agile approach. We work to integrate compliance with risk, security and regulations, building seamless interfaces across multiple systems. I am fortunate to manage complex hierarchy of global portfolios, programs and projects and executive communication . Provide TCO analyses to low level architecture, design and implementation, readiness and building BCP/DR/HA, and around the clock monitoring & management using cloud tools relevant to our customer's situation and objectives.

Leave a Reply

Your email address will not be published.