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Firstly, set up a cloud solution environment, Secondly, plan and configure a cloud solution, Then, deploy and implement a cloud solution, Also, ensure successful operation of a cloud solution, Secondly, Assigning users to predefined IAM roles within a project (, Thirdly, Managing users in Cloud Identity (manually and automated) (, Also, Provisioning one or more Stackdriver workspaces (, Establishing billing budgets and alerts (, Setting up billing exports to estimate daily/monthly charges (, 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 (, Product choice (e.g., Cloud SQL, BigQuery, Cloud Spanner, Cloud Bigtable) (, Choosing storage options (e.g., Standard, Nearline, Coldline, Archive) (, Identifying resource locations in a network for availability (, 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 (, Deploying a Google Kubernetes Engine cluster (, Deploying a container application to Google Kubernetes Engine using pods (, Configuring Google Kubernetes Engine application monitoring and logging (, 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) (, 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) (, 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) (, Then, Creating ingress and egress firewall rules for a VPC (e.g., IP subnets, tags, service accounts) (, Also, 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) (, Browsing Cloud Marketplace catalogue and viewing solution details (, Developing Deployment Manager templates (, Launching a Deployment Manager template (, To begin with, Managing a single VM instance (e.g., start, stop, edit configuration, or delete an instance) (, Further, Attaching a GPU to a new instance and installing CUDA libraries (, Moreover, Viewing current running VM inventory (instance IDs, details) (, Furthermore, Working with snapshots (e.g., create a snapshot from a VM, view snapshots, delete a snapshot) (, Also, Working with images (e.g., create an image from a VM or a snapshot, view images, delete an image) (, Additionally, Working with instance groups (e.g., set autoscaling parameters, assign instance template, create an instance template, remove instance group) (, Finally, Working with management interfaces (e.g., Cloud Console, Cloud Shell, GCloud SDK) (, Firstly, Viewing current running cluster inventory (nodes, pods, services) (, Secondly, Browsing the container image repository and viewing container image details (, Thirdly, Working with node pools (e.g., add, edit, or remove a node pool) (, Subsequently, Working with pods (e.g., add, edit, or remove pods) (, Moreover, Working with services (e.g., add, edit, or remove a service) (, Further, Working with stateful applications (e.g. #googlecloudready Preparing for Google Cloud Associate Cloud Engineer Exam Google Cloud 141K subscribers Subscribe 1.4K 76K views 2 years ago Note: Qwiklabs is now Google Cloud Skills Boost . - End-user attribute-based access control Notes: Hi all, Google Associate Cloud Engineer Practice Exam Part 4 will familiarize you with types of questions you may encounter on the certification exam and help you determine your readiness or if you need more preparation and/or experience. Tasks include: 5.3 Viewing audit logs for project and managed services (GCP Documentation: Viewing audit logs), The demand for Google Cloud Certified Associate Cloud Engineer exam has accelerated and so there are abundant resources in the marketplace for your preparations. - Reference: API Monetization, What is Apigee API Platform? - Reference: Firebase In-App Messaging, What is Firebase Performance Monitoring? Moreover, attempting multiple practice tests will boost your confidence. A quick and easy cheat sheet which helps you to prepare for GCP's Professional Cloud Architect exam. - Reference: Cloud Console, What is Cloud Deployment Manager? - Reference: Carrier Peering, What is Direct Peering? - Containerized apps with prebuilt deployment and unified billing. You have created a Kubernetes deployment, called Deployment-A, with 3 replicas on your cluster. The registration fee for the exam is USD 200, along with applicable taxes. - Reference: Firebase Performance Monitoring, What is Firebase Predictions? - Extend Workspace apps It also can be hosted by a third-party service provider. - Reference: Private Catalog, What is Cloud Debugger? CertsTime is providing a support to all of the esteemed customers and so to met to be Certified professional with an ease! - Reference: What is Cloud Armor? This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Threat modeling Dynamic code analysis - can not be the answer, What triggers the release activity? - Network telemetry service Almost every individual in information technology is bound to pass the Google Associate Cloud Engineer exam in order to survive in the industry and stay competitive. 125. - Reference: Firebase Predictions, What is Firebase Realtime Database? Presented with and without answers so you can study or simulate an exam. Google Cloud Exams Cheat Sheet. Knowing the difference between OPEX and CAPEX is critical to get the best value out of Azure for your company. - Reference: Cloud Spanner, What is Cloud SQL? - Manage your organizations eDiscovery Associate Cloud Engineer | Google Cloud. - Service-aware network management The total duration of the exam is 2 hours, and candidates can choose the test center located at the google database. - Reference: Cloud Resource Manager, What is Cloud Security Command Center? - Reference: Classroom API, What is Cloud Search? - Data warehouse/analytics It can also be used on any smartphone or tablet. - App performance insights - Reference: Task API, What is Vault API? 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