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GCP:Google Cloud Associate Cloud Engineer(600 questions)

IT & SoftwareIT Certification

GCP:Google Cloud Associate Cloud Engineer(600 questions)


With a large number of questions (600 questions) break up over 12 exams.

Description

Associate Cloud Engineer is a fundamental Google Cloud examination that proves your expertise and data of deploying functions, monitoring operations, and managing enterprise options.

This course gives the best variety of questions on supply, overlaying check content material from worldwide variations of the check too (translated from the Japanese check papers. It additionally gives detailed explanations and reference URLs, so that you could study the related ideas relating to every space of information within the GCP.

[Test details]

Time: 2 hours

Registration charge: $ 125 (excluding tax)

Variety of questions: 50 questions

This course consists of a set of fifty questions so that you could expertise all query codecs and content material areas.

The check vary can be set within the following 5 classes.

1. Establishing the cloud resolution surroundings.

1.1 Arrange a cloud venture and account. It can cowl the next:

Making a venture

Assignning customers to predefined IAM roles in your venture

Managing customers with Cloud Id (guide and automated)

Enabling API in your venture

Provisioning a Stackdriver workspace

1.2 Handle billing configurations. It can cowl the next:

Making a billing account

Linking your venture to your billing account

Setting billing budgets and alerts

Establishing billing-related exports for each day / month-to-month worth quotes

1.3 Set up and configure the command line interface (CLI), particularly the Cloud SDK (for instance, setting the default venture).

2. Plan and configure your cloud resolution

2.1 Plan and estimate GCP product utilization utilizing pricing instruments

2.2 Plan and configure computing assets. It can cowl the next:

Choosing the proper computing service on your workload (eg Compute Engine, Google Kubernetes Engine, App Engine, Cloud Run, Cloud Features)

Acceptable use of preemptible VMs and customized machine sorts

2.3 Plan and configure information storage choices. It can cowl the next:

Product choice (eg Cloud SQL, BigQuery, Cloud Spanner, Cloud Bigtable)

Choosing storage choices (eg Customary, Nearline, Coldline, Archive)

2.4 Plan and configure community assets. It can cowl the next:

Selecting between load balancing choices

Decide the situation of assets in your community with availability in thoughts

Configure Cloud DNS

3. Deploy and implement cloud options

3.1 Deploy and implement Compute Engine assets. It can cowl the next:

Launching a compute occasion utilizing Cloud Console and Cloud SDK (gcloud) (eg disk, availability coverage, SSH authentication key task)

Creating managed occasion teams which can be autoscaled utilizing occasion templates

Producing and importing a customized SSH key on your occasion

Configuring Stackdriver Monitoring and Stackdriver Logging on the VM

Evaluating compute quotas and request quota will increase

Putting in Stackdriver Agent for monitoring and logging

3.2 Deploy and implement Google Kubernetes Engine assets. It can cowl the next:

Deploying a Google Kubernetes Engine cluster

Deploying a container utility to Google Kubernetes Engine utilizing Pod

Configuring monitoring and logging for Google Kubernetes Engine functions

3.3 Deploy and implement App Engine assets, Cloud Run assets, and Cloud Features assets. It can cowl the next:

Deploying your utility and replace scaling configurations, variations, and site visitors splits

Deployinh an utility that receives Google Cloud occasions (eg Cloud Pub / Sub occasions, Cloud Storage object change notification occasions)

3.4 Deploy and implement the info resolution. It can cowl the next:

Initializing your information system utilizing merchandise (eg Cloud SQL, Cloud Datastore, BigQuery, Cloud Spanner, Cloud Pub / Sub, Cloud Bigtable, Cloud Dataproc, Cloud Dataflow, Cloud Storage)

Importing information (eg command line uploads, API transfers, imports / exports, information imports from Cloud Storage, information streaming to Cloud Pub / Sub)

3.5 Deploy and implement networking assets. It can cowl the next:

Making a VPC with a subnet (eg customized mode VPC, shared VPC)

Launching a Compute Engine occasion with a customized community configuration (eg, inside personal IP handle, personal Google entry, static exterior and personal IP addresses, community tags)

Creating upstream and downstream firewall guidelines on your VPC (eg IP subnets, tags, service accounts)

Making a VPN between your Google VPC and your exterior community utilizing Cloud VPN

Making a load balancer that distributes community site visitors to your utility (for instance, World HTTP (S) Load Balancer, World SSL Proxy Load Balancer, World TCP Proxy Load Balancer, Area Community Load Balancer, Area Inside Load Balancer)

3.6 Deploy the answer utilizing Cloud Market. It can cowl the next:

Searching the Cloud Market catalog to study extra concerning the accessible options

Deploying a Cloud Market resolution

3.7 Deploy the applying infrastructure utilizing Cloud Deployment Supervisor. It can cowl the next.

Creating a Deployment Supervisor template

Launching the Deployment Supervisor template

4. Making certain correct operation of your cloud resolution

4.1 Handle Compute Engine assets. It can cowl the next:

Managing a single VM occasion (eg begin, cease, edit configuration, delete occasion)

Connecting to the occasion through SSH / RDP

Connecting the GPU to a brand new occasion and set up the CUDA library

Viewing stock (occasion ID, particulars) of at present operating VMs

Manipulating snapshots (eg create snapshots from VMs, view snapshots, delete snapshots)

Manipulating pictures (eg create pictures from VMs or snapshots, view pictures, delete pictures)

Manipulating occasion teams (eg setting autoscaling parameters, assigning or creating occasion templates, deleting occasion teams)

Working with administration interfaces (eg Cloud Console, Cloud Shell, GCloud SDK)

4.2 Handle Google Kubernetes Engine assets. It can cowl the next:

Viewing the stock of at present operating clusters (nodes, pods, providers)

Searching the container picture repository to see the small print of the container picture

Manipulating node swimming pools (eg add, edit, delete node swimming pools)

Manipulating pods (eg add, edit, delete pods)

Manipulating providers (eg add, edit, delete providers)

Working with stateful functions (eg persistent volumes, stateful units)

Working with administration interfaces (eg Cloud Console, Cloud Shell, Cloud SDK)

4.3 Deploy App Engine and Cloud Run assets. It can cowl the next:

Adjusting utility site visitors break up parameters

Setting autoscaling scaling parameters on your occasion

Working with administration interfaces (eg Cloud Console, Cloud Shell, Cloud SDK)

4.4 Handle storage and database options. It can cowl the next:

Shifting objects between Cloud Storage buckets

Changing Cloud Storage buckets between storage lessons

Setting object lifecycle administration insurance policies for Cloud Storage buckets

Operating queries to retrieve information from information situations (eg Cloud SQL, BigQuery, Cloud Spanner, Cloud Datastore, Cloud Bigtable)

Estimating the price of BigQuery queries

Backing up and restoring information situations (eg Cloud SQL, Cloud Datastore)

Checking job standing for Cloud Dataproc, Cloud Dataflow, and BigQuery

Working with administration interfaces (eg Cloud Console, Cloud Shell, Cloud SDK)

4.5 Handle networking assets. It can cowl the next:

Including a subnet to an present VPC

Increasing subnets to extend IP addresses

Reserving a static exterior or inside IP handle

Working with administration interfaces (eg Cloud Console, Cloud Shell, Cloud SDK)

4.6 Monitor and log. It can cowl the next:

Creating Stackdriver alerts primarily based on useful resource metrics

Making a Stackdriver customized metric

Configuring log sync in order that logs are exported to an exterior system (eg on-premises or BigQuery)

Viewing and filter Stackdriver logs

Viewing Stackdriver log message particulars

Investigating utility points utilizing Cloud Diagnostics (eg Cloud Hint information evaluate, utility point-in-time evaluate utilizing Cloud Debug)

Viewing the standing of Google Cloud Platform

Working with administration interfaces (eg Cloud Console, Cloud Shell, Cloud SDK)

5. Entry and safety configuration

5.1 Handle Id and Entry Administration (IAM. It can cowl the next:

Viewing IAM position assignments

Assigning IAM roles to accounts or Google teams

Defining a customized IAM position

5.2 Handle service accounts. It can cowl the next:

Managing service accounts with restricted privileges

Assigning a service account to a VM occasion

Granting entry to a service account in one other venture

5.3 View audit logs for initiatives and managed providers.

Who this course is for:

  • Those that wish to {qualifications} for Google Cloud Platform
  • Those that are concerned in system administration and improvement utilizing the Google Cloud
  • Those that are contemplating utilizing Google Cloud for your online business



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