Google Cloud Certification Overview
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What is a key benefit of obtaining Google Cloud Certification?

  • Requires years of experience in IT
  • Allows for self-motivation and skill enhancement (correct)
  • Limits career advancement options
  • Only qualifies for entry-level jobs

    • Which of the following roles can be achieved through Google Cloud Certification?

  • School Teacher
  • Certified Fellow (correct)
  • Professional Artist
  • Culinary Chef

    • What is one of the primary reasons Bowtie Inc. might consider Google Cloud Certification for its employees?

  • To outsource IT functions
  • To reduce employee workload
  • To increase in-store sales only
  • To ensure skills remain current (correct)

    • How does Google Cloud Certification enhance an individual's market value?

    <p>It demonstrates a commitment to learning and professional growth.</p> Signup and view all the answers

    Which aspect of Bowtie Inc.'s structure is essential for considering certification offerings?

    <p>The global presence necessitates diverse skill sets.</p> Signup and view all the answers

    What issue is presented due to outdated legacy on-premises hardware?

    <p>Increased manual processes</p> Signup and view all the answers

    What advantage does cloud computing provide in terms of backup solutions?

    <p>Fast and cost-effective cloud backup</p> Signup and view all the answers

    How does the current infrastructure support global expansion?

    <p>Rapid deployment into new regions</p> Signup and view all the answers

    Which of the following describes a current requirement for the management's approach to spending?

    <p>Increased understanding of necessary expenditures</p> Signup and view all the answers

    What challenge is mentioned regarding the Point of Sale (POS) systems?

    <p>Performance issues from store to store</p> Signup and view all the answers

    What characteristic of cloud computing allows for automatic resource provisioning without human intervention?

    <p>On-demand Self Service</p> Signup and view all the answers

    Which characteristic defines the ability to share resources among multiple customers in a cloud environment?

    <p>Resource Pooling</p> Signup and view all the answers

    What is a key advantage of cloud computing related to cost?

    <p>Pay as you go</p> Signup and view all the answers

    Which deployment model integrates both private and public cloud infrastructures?

    <p>Hybrid Cloud</p> Signup and view all the answers

    What does rapid elasticity in cloud computing refer to?

    <p>Quickly scaling resources up or down</p> Signup and view all the answers

    Which aspect of cloud services involves continuous monitoring and reporting of resource usage?

    <p>Measured Service</p> Signup and view all the answers

    In which service model does the vendor manage the operating system and virtualization?

    <p>Platform as a Service (PaaS)</p> Signup and view all the answers

    What are the advantages of cloud speed related to resource availability?

    <p>Resources available on request</p> Signup and view all the answers

    Which model describes a single public cloud solution?

    <p>Public Cloud</p> Signup and view all the answers

    Which characteristic ensures high availability and easy disaster recovery in cloud computing?

    <p>Global Data Centers</p> Signup and view all the answers

    In the shared responsibility model, which components are typically managed by the vendor in a SaaS setup?

    <p>All aspects, including user applications</p> Signup and view all the answers

    What does the term 'multi-cloud' refer to in cloud deployment models?

    <p>Two or more public clouds</p> Signup and view all the answers

    What is a major benefit of cloud computing related to security measures?

    <p>Always up-to-date security patches</p> Signup and view all the answers

    Which of the following is NOT a characteristic of cloud computing?

    <p>Rapid User Training</p> Signup and view all the answers

    Study Notes

    Course Resources

    • The course focuses on Google Cloud Certification resources.

    Google Cloud Certification

    • Different certification levels exist (Associate and Professional)
    • Required experience varies by level
    • Associate level requires 6+ months experience on Google Cloud
    • Professional level requires 3+ years industry experience including 1+ years on Google Cloud
    • User certification completion of Applied Digital Skills training course and G Suite Essentials quest
    • There are different roles, including Cloud Engineer, Cloud Architect and Cloud Developer.
    • Security (Networking), Developer/DevOps related roles also available.

    Why Certify?

    • Milestones for learning
    • Keeping skills up-to-date
    • Career advancement
    • Higher market value
    • Self-motivation

    Scenario - Bowtie Inc.

    • Bowtie Inc. is a global manufacturing company headquartered in Montreal, Canada
    • Approximately 300 employees, 100 in Sales
    • The company has offices/stores in Montreal, London, and Los Angeles
    • It has in-store staff, IT, marketing, manufacturing, finance, sales people, managers, sewers.
    • The company uses on-premises hardware for its operations
    • The company has global inventory updated upon sales and new stock
    • Its POS systems are in each store/office location, and its HQ in Montreal has all the infrastructure connected and backed up to a tape system.
    • The company is currently facing limitations with its existing technology

    Current Issues

    • Legacy on-premises hardware is out of warranty
    • Performance issues in POS systems across stores
    • Lack of high availability (HA) and scalability
    • Slow tape backups, which are costly and offsite

    Favourable Results

    • Reliable and stable connection between stores
    • Fast and cost-effective cloud backup
    • Deploying into new regions quickly when needed
    • Scalable and low cost infrastructure
    • Automation, avoiding manual intervention

    Cloud Computing

    • The delivery of a shared pool of on-demand computing services over the public internet.
    • Provisioning and releasing resources rapidly.
    • Minimal management effort from the service provider.

    The 5 Characteristics of Cloud

    • On-demand self-service
    • Broad network access
    • Resource pooling
    • Rapid elasticity
    • Measured service

    Benefits of Cloud

    • Agility: Flexibility for provisioning resources; faster innovation
    • Cost: Pay-as-you-go; trade capital expenditure for variable expense
    • Speed: Resources on demand; scriptable infrastructure; easier global disaster recovery; high availability
    • Security: Always up-to-date; physical security; encryption at rest and in transit; compliance

    Cloud Deployment Models

    • Public Cloud: One public cloud
    • Multi-Cloud: Two or more public clouds
    • Private Cloud: On-premise cloud
    • Hybrid Cloud: Private cloud + public cloud
    • Hybrid Environment: On-premise data center + public cloud

    Cloud Service Models

    • Infrastructure as a Service (IaaS)
    • Platform as a Service (PaaS)
    • Software as a Service (SaaS)

    Compute Engine

    • Virtual Machines (VMs) called instances
    • Choose deployment region and zone
    • Users decide the operating system and software
    • Use public or private images
    • Manage multiple instances with instance groups
    • Scalable with autoscaling
    • Can use Google Cloud Storage
    • Use SSH to connect directly
    • IaaS model

    Google Kubernetes Engine (GKE)

    • Container orchestration system for deploying, scaling, and managing containers
    • Built on open-source Kubernetes
    • Integrates with Compute Engine instances as nodes in a cluster.
    • A cluster is a group of nodes or Compute Engine instances
    • CaaS (Container as a Service) model

    App Engine

    • Fully managed, serverless platform
    • Develop and host web apps
    • Code or containers
    • Support for Python, Java, .NET, etc.
    • Auto-scaling
    • Versions for rollback and migrating
    • Connect to external storage
    • Standard and Flexible environments

    Cloud Functions

    • Serverless execution environment for building and connecting functions to events.
    • Simple, single-purpose functions attached to events.
    • Code executes in a fully managed environment
    • No need to provision infrastructure

    Storage & Databases

    • Options include Cloud Storage and various databases.

    Cloud Storage

    • Consistent, scalable, large capacity, highly durable object storage (not file or block)
    • Worldwide accessibility and locations
    • Usage for: data files, text files, pictures, and videos
    • Suitable for content delivery, big data sets, and backups
    • Different storage classes (Standard, Nearline, Coldline, Archive)

    Cloud SQL

    • Fully managed relational database service
    • Low Latency, transactional, relational
    • MySQL, PostgreSQL, SQL Server
    • Replication and Read Replicas
    • On-demand and automatic backups
    • 30TB storage capacity, storage increase automatic

    Cloud Spanner

    • Fully managed, relational database service
    • Strongly consistent and horizontally scalable
    • Supports schemas, ACID transactions, SQL queries
    • Globally distributed, handles replicas and sharding
    • Synchronous data replication
    • Automatic scaling and redundancy
    • High Availability (Up to 99.999%).

    Network Services

    • Virtual Private Cloud (VPC)
    • Firewalls and Routes
    • Load Balancing
    • Cloud DNS
    • Advanced Networking (VPN, Direct Interconnect, Carrier Peering)

    Resource Hierarchy

    • Resources are organized hierarchically like a parent/child relationship
    • IAM manages the access control policies.

    Cloud Billing

    • Defining cost center owners
    • Tracking Google Cost
    • Using Sub-accounts for resellers
    • Linking to a payment profile

    Limits and Quotas

    • Hard limits on Google Cloud resource usage
    • Rate Quota - resets after a specified time
    • Allocation Quota - must be released explicitly

    Cloud IAM

    • Managing access control policies and configurations
    • Using Principle of Least Privilege (grant appropriate permissions)

    Cloud Interconnect

    • Low-latency, highly available connection between on-premise and GCP VPC networks
    • Provides direct access to internal IP addresses without internet transit.
    • Dedicated connection, not encrypted but expensive.

    Deployment Manager

    • Configuration definition for resources
    • Defines the structure, including a resource section.
    • Components include name, type and properties.
    • Templates are used to automate deployment.

    Load Balancing

    • Distributes user traffic across multiple instances
    • Provides a single point of entry with multiple backends
    • Fully distributed and software defined.

    Instance Groups and Instance Templates

    • A collection of VM instances that you manage as a single entity
    • Use in conjunction with Instance Templates to create new VMs, and used to update VMs.

    Containers

    • Consistent, efficient, and standardized method to run applications

    Kubernetes

    • Orchestration platform for containers to automate, schedule, and run workloads on a cluster.

    Kubernetes Components

    • API server
    • Kube scheduler
    • Kube controller manager
    • Cloud controller manager
    • etcd

    Node Pools

    • Group of nodes within a cluster that share same configurations
    • Enable use of custom node pools for different resources
    • Manually or automatically upgraded.

    Cluster Types

    • Single-zone
    • Multi-zonal
    • Regional

    Cluster Upgrades

    • Control plane upgrades before the nodes
    • Upgrades are accomplished one control plane at a time.

    Surge Upgrades

    • Allows you to control the number of nodes upgraded at a time.

    Pods and Object Management

    • Entities that represent the state of a GKE cluster.
    • Pod concepts include containers, shared storage, and shared networking.

    Manifest File

    • Configuration file required to create and run Kubernetes objects.
    • Includes pod spec, with containers, images, ports, etc. to provide the desired state.

    Kubernetes Services

    • Persistent single IP
    • Internal/External load balancing
    • Scaling.

    Service Types

    • ClusterIP
    • NodePort
    • Load Balancer
    • ExternalName
    • Headless
    • Uses labels and selectors for identifying pods and instances.

    Ingress for GKE

    • Provides external access to the cluster.
    • Used to handle traffic to multiple pods.
    • Defines rules for routing.

    Health Checks

    • How to define when a service is up and down

    SSL Certificates

    • Option to use Google managed or self-managed certificates for SSL.

    GKE Storage Options

    • Storage options available for Kubernetes, including databases, object storage, block storage, and NAS.

    Docker Storage

    • Basic storage unit
    • Decoupling of storage from container
    • File system storage
    • Volumes
    • Shared storage for containers

    Kubernetes Storage Abstractions

    • Basic storage unit
    • Used for separating storage from container and pod

    Persistent Volume Access Modes

    • ReadWriteOnce, ReadOnlyMany, ReadWriteMany
    • Storage types available for pods
    • HA and zone specifics

    Cloud VPN

    • Connects your on-premise network to your GCP VPC network
    • IPsec tunnel over the public internet for private access.
    • Two types of Cloud VPN (Classic, HA)

    Cloud Interconnect

    • Dedicated physical connection for low latency and high speed
    • Doesn't traverse the public internet
    • Suitable for high traffic

    CDN Interconnect

    • Connection with third party CDN providers to direct traffic
    • Lower egress costs

    App Engine

    • Fully managed serverless environment
    • Supports multiple languages and frameworks
    • Includes standard and flexible environments
    • Supports scaling

    Kubernetes Workloads

    • Deploys, manages, and updates replicas of an app
    • Supports configuration for containerized applications

    Big Data Services

    • Tools and services available to handle massive data sets
    • Enables real-time data ingestion and analysis.

    Machine Learning

    • Functionality that enables software to perform tasks without explicit programming or rules.
    • Recognizes patterns in datasets.
    • Can be used for image analysis, text analysis, speech recognition, and translation.

    Operations Suite

    • Monitoring logging error reporter debugger trace profiler components that integrate with Google Cloud.

    Cloud Monitoring

    • Collects and displays metrics and dashboards to allow you to visualize applications.
    • Works with Log, Error, Debug, and Trace to perform comprehensive diagnostics.

    Cloud Logging

    -Central logging repository for various cloud resources

    • Includes GCP and non GCP resources.

    Error Reporting

    • Counts, analyzes, and aggregates errors occurring within the Google Cloud environment.
    • Ensures you are alerted in case of an error.
    • Supports various languages.

    Debugger

    • Debug a running application in real time with no latency
    • Capture stack snapshot
    • Allows for remote error reporting.

    Trace

    • Helps understand how long it takes an application to complete requests.
    • Gathers latency data.
    • Works with various platforms like Google Cloud.

    Profiler

    • Helps to monitor resource consumption by applications to detect and resolve performance issues.
    • Collects data about CPU usage and memory allocation.

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    Related Documents

    GCP-ACE Lecture Slides PDF

    Description

    This quiz explores the key benefits and roles associated with obtaining Google Cloud Certification. It also discusses how certification can boost market value for individuals and factors businesses like Bowtie Inc. should consider. Test your knowledge on the advantages of cloud certification!

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