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Google Cloud Associate Cloud Engineer Test 2023

Description

Welcome and good day this apply take a look at is for anyone need to show himself in Google Cloud Associate Cloud Engineer Test

What’s the Google Cloud Associate Cloud Engineer ?

Associate Cloud Engineer Certification examination information:

An Associate Cloud Engineer deploys and secures functions and infrastructure, displays operations of a number of tasks, and maintains enterprise options to make sure that they meet goal efficiency metrics. This particular person has expertise working with public clouds and on-premises options. They can use the Google Cloud console and the command-line interface to carry out frequent platform-based duties to keep up and scale a number of deployed options that leverage Google-managed or self-managed providers on Google Cloud.

Part 1: Establishing a cloud resolution surroundings

1.1 Establishing cloud tasks and accounts. Actions embody:

● Making a useful resource hierarchy

● Making use of organizational insurance policies to the useful resource hierarchy

● Granting members IAM roles inside a mission

● Managing customers and teams in Cloud Identification (manually and automatic)

● Enabling APIs inside tasks

● Provisioning and establishing merchandise in Google Cloud’s operations suite

1.2 Managing billing configuration. Actions embody:

● Creating a number of billing accounts

● Linking tasks to a billing account

● Establishing billing budgets and alerts

● Establishing billing exports

1.3 Putting in and configuring the command line interface (CLI), particularly the Cloud SDK (e.g., setting the default mission).

Part 2: Planning and configuring a cloud resolution

2.1 Planning and estimating Google Cloud product use utilizing the Pricing Calculator

2.2 Planning and configuring compute sources. Issues embody:

● Deciding on applicable compute selections for a given workload (e.g., Compute Engine, Google Kubernetes Engine, Cloud Run, Cloud Features)

● Utilizing preemptible VMs and {custom} machine sorts as applicable

2.3 Planning and configuring information storage choices. Issues embody:

● Product alternative (e.g., Cloud SQL, BigQuery, Firestore, Cloud Spanner, Cloud Bigtable)

● Selecting storage choices (e.g., Zonal persistent disk, Regional balanced persistent disk, Commonplace, Nearline, Coldline, Archive)

2.4 Planning and configuring community sources. Duties embody:

● Differentiating load balancing choices

● Figuring out useful resource places in a community for availability

● Configuring Cloud DNS

Part 3: Deploying and implementing a cloud resolution

3.1 Deploying and implementing Compute Engine sources. Duties embody:

● Launching a compute occasion utilizing the Google Cloud console and Cloud SDK (gcloud) (e.g., assign disks, availability coverage, SSH keys)

● Creating an autoscaled managed occasion group utilizing an occasion template

● Producing/importing a {custom} SSH key for situations

● Putting in and configuring the Cloud Monitoring and Logging Agent

● Assessing compute quotas and requesting will increase

3.2 Deploying and implementing Google Kubernetes Engine sources. Duties embody:

● Putting in and configuring the command line interface (CLI) for Kubernetes (kubectl)

● Deploying a Google Kubernetes Engine cluster with totally different configurations together with AutoPilot, regional clusters, personal clusters, and so on.

● Deploying a containerized utility to Google Kubernetes Engine

● Configuring Google Kubernetes Engine monitoring and logging

3.3 Deploying and implementing Cloud Run and Cloud Features sources. Duties embody, the place relevant:

● Deploying an utility and updating scaling configuration, variations, and visitors splitting

● Deploying an utility that receives Google Cloud occasions (e.g., Pub/Sub occasions, Cloud Storage object change notification occasions)

3.4 Deploying and implementing information options. Duties embody:

● Initializing information methods with merchandise (e.g., Cloud SQL, Firestore, BigQuery, Cloud Spanner, Pub/Sub, Cloud Bigtable, Dataproc, Dataflow, Cloud Storage)

● Loading information (e.g., command line add, API switch, import/export, load information from Cloud Storage, streaming information to Pub/Sub)

3.5 Deploying and implementing networking sources. Duties embody:

● Making a VPC with subnets (e.g., custom-mode VPC, shared VPC)

● Launching a Compute Engine occasion with {custom} community configuration (e.g., internal-only IP handle, Google personal entry, static exterior and personal IP handle, community tags)

● Creating ingress and egress firewall guidelines for a VPC (e.g., IP subnets, community tags, service accounts)

● Making a VPN between a Google VPC and an exterior community utilizing Cloud VPN

● Making a load balancer to distribute utility community visitors to an utility (e.g., International HTTP(S) load balancer, International SSL Proxy load balancer, International TCP Proxy load balancer, regional community load balancer, regional inner load balancer)

3.6 Deploying an answer utilizing Cloud Market. Duties embody:

● Searching the Cloud Market catalog and viewing resolution particulars

● Deploying a Cloud Market resolution

3.7 Implementing sources through infrastructure as code. Duties embody:

● Constructing infrastructure through Cloud Basis Toolkit templates and implementing finest practices

● Putting in and configuring Config Connector in Google Kubernetes Engine to create, replace, delete, and safe sources

Part 4: Making certain profitable operation of a cloud resolution

4.1 Managing Compute Engine sources. Duties embody:

● Managing a single VM occasion (e.g., begin, cease, edit configuration, or delete an occasion)

● Remotely connecting to the occasion

● Attaching a GPU to a brand new occasion and putting in essential dependencies

● Viewing present working VM stock (occasion IDs, particulars)

● Working with snapshots (e.g., create a snapshot from a VM, view snapshots, delete a snapshot)

● Working with photographs (e.g., create a picture from a VM or a snapshot, view photographs, delete a picture)

● Working with occasion teams (e.g., set autoscaling parameters, assign occasion template, create an occasion template, take away occasion group)

● Working with administration interfaces (e.g., Google Cloud console, Cloud Shell, Cloud SDK)

4.2 Managing Google Kubernetes Engine sources. Duties embody:

● Viewing present working cluster stock (nodes, pods, providers)

● Searching Docker photographs and viewing their particulars within the Artifact Registry

● Working with node swimming pools (e.g., add, edit, or take away a node pool)

● Working with pods (e.g., add, edit, or take away pods)

● Working with providers (e.g., add, edit, or take away a service)

● Working with stateful functions (e.g. persistent volumes, stateful units)

● Managing Horizontal and Vertical autoscaling configurations

● Working with administration interfaces (e.g., Google Cloud console, Cloud Shell, Cloud SDK, kubectl)

4.3 Managing Cloud Run sources. Duties embody:

● Adjusting utility traffic-splitting parameters

● Setting scaling parameters for autoscaling situations

● Figuring out whether or not to run Cloud Run (absolutely managed) or Cloud Run for Anthos

4.4 Managing storage and database options. Duties embody:

● Managing and securing objects in and between Cloud Storage buckets

● Setting object life cycle administration insurance policies for Cloud Storage buckets

● Executing queries to retrieve information from information situations (e.g., Cloud SQL, BigQuery, Cloud Spanner, Datastore, Cloud Bigtable)

● Estimating prices of information storage sources

● Backing up and restoring database situations (e.g., Cloud SQL, Datastore)

● Reviewing job standing in Dataproc, Dataflow, or BigQuery

4.5 Managing networking sources. Duties embody:

● Including a subnet to an current VPC

● Increasing a subnet to have extra IP addresses

● Reserving static exterior or inner IP addresses

● Working with CloudDNS, CloudNAT, Load Balancers and firewall guidelines

4.6 Monitoring and logging. Duties embody:

● Creating Cloud Monitoring alerts based mostly on useful resource metrics

● Creating and ingesting Cloud Monitoring {custom} metrics (e.g., from functions or logs)

● Configuring log sinks to export logs to exterior methods (e.g., on-premises or BigQuery)

● Configuring log routers

● Viewing and filtering logs in Cloud Logging

● Viewing particular log message particulars in Cloud Logging

● Utilizing cloud diagnostics to analysis an utility subject (e.g., viewing Cloud Hint information, utilizing Cloud Debug to view an utility point-in-time)

● Viewing Google Cloud standing

Part 5: Configuring entry and safety

5.1 Managing Identification and Entry Administration (IAM). Duties embody:

● Viewing IAM insurance policies

● Creating IAM insurance policies

● Managing the assorted function sorts and defining {custom} IAM roles (e.g., primitive, predefined and {custom})

5.2 Managing service accounts. Duties embody:

● Creating service accounts

● Utilizing service accounts in IAM insurance policies with minimal permissions

● Assigning service accounts to sources

● Managing IAM of a service account

● Managing service account impersonation

● Creating and managing short-lived service account credentials

5.3 Viewing audit logs

This examination format:

Size: 120 min

Language: English

Variety of questions: 50 a number of alternative and a number of choose questions

Passing scor: 70%


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