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GOOGLE CLOUD ASSOCIATE (GCA)
Featured Review
4.7 (2080 Ratings)
Google Cloud Professional (GCP) refers to a set of certifications offered by Google Cloud that validate an individual’s expertise and skills in various aspects of cloud computing and Google Cloud services. These certifications are designed for IT professionals, cloud architects, and developers who want to demonstrate their knowledge and proficiency in working with Google Cloud Platform (GCP).
Overview
The Syllabus
Curriculum Designed by Experts
1. Setting up a cloud solution environment
1.1 Setting up cloud projects and accounts. Activities include:
- Creating projects
- Assigning users to predefined IAM roles within a project
- Managing users in Cloud Identity (manually and automated)
- Enabling APIs within projects
- Provisioning one or more Stackdriver workspaces
1.2 Managing billing configuration. 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).
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 resources. Considerations include:
- Selecting appropriate compute choices for a given workload (e.g., Compute Engine, Google Kubernetes Engine, App Engine, Cloud Run, Cloud Functions)
- 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., Standard, Nearline, Coldline, Archive)
2.4 Planning and configuring network resources. Tasks include:
- Differentiating load balancing options
- Identifying resource locations in a network for availability
- Configuring Cloud DNS
3. Deploying and implementing a cloud solution
3.1 Deploying and implementing Compute Engine resources. 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 template
- Generating/uploading a custom SSH key for instances
- Configuring a VM for Stackdriver monitoring and logging
- Assessing compute quotas and requesting increases
- Installing the Stackdriver Agent for monitoring and logging
3.2 Deploying and implementing Google Kubernetes Engine resources. Tasks include:
- Deploying a Google Kubernetes Engine cluster
- Deploying a container application to Google Kubernetes Engine using pods
- Configuring Google Kubernetes Engine application monitoring and logging
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
- Deploying an application 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 Dataflow, 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 resources. 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 VPN
- 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
- 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)
- 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 autoscaling 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 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)
- 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)
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
- Setting scaling parameters for autoscaling instances
- 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
- Setting object life cycle management policies for Cloud Storage buckets
- 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
- 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
- Reserving static external or internal IP addresses
- 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)
Viewing and filtering logs in Stackdriver - 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 - 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
- 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.
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Skills Covered
Like the Curriculum ? Let's Get Started
Why Enroll for Google Cloud Associate (GCA) ?
In-Demand Skills
GCP is one of the leading cloud platforms globally, and there is a high demand for professionals with GCP skills. By learning GCP, you'll acquire valuable skills that are sought after by employers across various industries.
Hands-On Experience
Radical GCP courses include hands-on labs, projects, and real-world scenarios that allow you to apply your knowledge in practical settings. By gaining hands-on experience with GCP, you'll develop the skills and confidence needed to succeed in cloud computing roles.
Cloud Adoption
Many organisations are migrating their infrastructure and applications to the cloud to leverage the scalability, flexibility, and cost-effectiveness offered by cloud platforms like GCP. By learning GCP, you'll be well-positioned to support organizations in their cloud adoption journey.
Career Opportunities
GCP offers a wide range of career opportunities in roles such as Cloud Engineer, Solutions Architect, Data Engineer, DevOps Engineer, and Cloud Consultant. By enrolling in a GCP course, you can prepare yourself for these in-demand roles and advance your career in cloud computing.
Global Infrastructure
GCP offers a global network of data centers spanning multiple regions and availability zones. This global infrastructure ensures low-latency access to GCP services from anywhere in the world and enables businesses to deploy applications closer to their users for improved performance and compliance.
Cutting-Edge Technologies
GCP provides a wide range of cloud services and solutions, including compute, storage, networking, databases, machine learning, and IoT. By learning GCP, you'll gain exposure to cutting-edge technologies and tools that can drive innovation and digital transformation in organizations.
Course benefits
Who Can Apply for Red Hat Linux
- Information Architects and Statisticians
- Developers looking to master Machine Learning and Predictive Analytics
- Big Data, Business Analysis, Business Intelligence, and Software Engineering Professionals
- Aspirants who are looking to work as Machine Learning Experts, Data Scientists, etc.
- Anyone who wants to learn machine learning, artificial intelligence, data visualization, data analytics, data structures, and algorithms (DSA).
Why Google Cloud Associate (GCA) ?
Scalability
Scalability is key to cloud success, and the Google Cloud Associate Course Training equips you with essential skills to manage growing demands efficiently. Learn to optimize resources, scale applications seamlessly, and ensure performance under varying workloads. Unlock career growth with cloud expertise.
Flexibility
Flexibility is crucial in cloud environments. The Google Cloud Associate Course Training empowers you to adapt cloud infrastructure to evolving business needs. Master cloud services, scale easily, and customize solutions for various workloads. Build a versatile skillset for future-proof careers.
Hybrid Capabilities
Master hybrid capabilities with Google Cloud Associate Course Training. Learn to manage on-premise and cloud infrastructure seamlessly. Unlock the power of hybrid models to enhance flexibility, optimize resources, and improve scalability for diverse business needs. Advance your cloud expertise today.
Security and Compliance
Take advantage of Google Cloud Associate Course Training to improve security and compliance. Learn to protect data, ensure regulatory compliance, and implement security best practices. Build skills to safeguard cloud environments and stay ahead in an industry where security is paramount. Advance your career today!
Cost-Effectiveness
Learn cost-effectiveness with Google Cloud Associate Course Training. Master optimizing cloud resources to reduce expenses while maximizing performance. Gain skills to manage budgets efficiently and scale without overspending. Build a strong foundation for smart cloud solutions.
Innovation
Unlock innovation with Google Cloud Associate Course Training. Learn to leverage cutting-edge cloud technologies to drive business growth and transform ideas into solutions. Equip yourself with skills to innovate, adapt, and lead in a rapidly evolving digital landscape. Shape the future of tech!
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Online Classroom PREFERRED
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- Placement Assistance upon clearing PRT
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Red Hat Linux Course Projects
Infrastructure Provisioning
And Configuration Management
Implementing automated infrastructure provisioning and configuration management using Ansible. This may include setting up servers, networking devices, and other infrastructure components using playbooks and roles.
Applications Deployment
And Orchestration
Automating the deployment and orchestration of applications across development, testing, and production environments. This could involve deploying web servers, databases. middleware, and other application components using Ansible
Continuous Integration
And Continuous Deployment
Integrating Ansible into CI/CD pipelines to automate software. build, test, and deployment processes. This may include automating the creation of build artifacts, running tests, and deploying applications to various environments.