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CLOUD, IOT, machinelearning, bigdata, deeplearning, bigquery, developers, devops, cloud developer, certificationworkshop

NewCondition 20000.00
Pre-Order

DURATION
2 days

DESCRIPTION
This workshop is designed to help IT professionals prepare for the Google Professional Cloud Developer certification exam.

In this workshop, we review the exam guidelines and cover the main topics you may be tested on.

The Professional Cloud Developer exam assesses your ability to build scalable and highly-available applications using Google recommended practices and tools that leverage fully-managed services. The exam, and hence this course, focuses on deploying applications using Kubernetes, App Engine, Cloud Functions and Compute Engine, securing applications using IAM, monitoring applications with Stackdriver, and storing data using GCP’s storage services.

This workshop assumes prior knowledge of Google Cloud Platform (GCP) and is not an introduction to GCP.

OBJECTIVES
Prepare for the Google Professional Cloud Developer certification exam
Design applications for high-performance, scalability, and high-availability using Google development best practices
Build CI/CD pipelines using Google tools: Source Repository, Cloud Build, Container Registry
Automate the deployment of GCP resources using the CLI, Deployment Manager, and Kubernetes
Leverage Google Cloud Storage for data storage and distributing static content online
Store relational data using Cloud SQL and Spanner
Store NoSQL data using Bigtable and Cloud Datastore/Firestore
Expose an API Gateway using Google Cloud Endpoints
Leverage Stackdriver for monitoring, logging, and alerting
This workshop includes instructor lecture, demos, exercises, practice exams, and links to recommended study, videos, and tutorials. Homework assignments are also included to help students further prepare for the exam.

PREREQUISITES
Prior to taking the Professional Cloud Developer certification exam, students must have experience developing applications and services that run on Google Cloud Platform. The exam tests one’s ability to program, deploy, and monitor real-world applications and data using GCP. Students should not only understand the basics of services, but also how services are automated using the command-line interface, deployment manager, Kubernetes, the various APIs, and language SDKs.

Practice Quizzes and Hands-On Exercises
Included with this course are sample quizzes and numerous hands-on exercises that will help you both prepare for the exam and efficiently manage real-world deployments using automated tools.

TOPICS
Module 1: Professional Cloud Developer Certification Overview
Exam Overview and Expectations
What You are Tested On
Exam Format
Registering for the Exam
Exam Prep
Exercise: Creating a GCP Account

Module 2: Designing Applications for Google Cloud
Analyzing the Exam Case Study
Global Delivery
Low Latency and High Performance
High Availability
Elastic Scalability
Security and Compliance
Activity: Designing the Case Study
GCP Design Best Practices
Microservice Architecture
Recognizing Microservice Boundaries
Designing Loosely-Coupled Services
Stateless Services
Asynchronous Operations
Logging and Monitoring
Activity: Designing the Case Study Microservices
Leveraging GCP Services for Scalability, Performance, and High Availability
Elastic Autoscaling
Caching Database Content
Caching Web Content
Messaging
Handling High Volume Writes (Partitioning)
Handling High Volume Reads (Replication)
Activity: Choosing GCP Services
Site Reliability Engineering
SLOs
SLIs
SLAs
Activity: Defining SLOs and SLIs
Exam Prep
Quiz

Module 3: Programming for Google Cloud Platform
GCP Development Best Practices
Source Control Management
Dependency Management
Microservices
Continuous Integration
Language APIs
Handling Secrets
Handling Errors
Truncated Exponential Backoff
Activity: Creating a Microservice
Docker
Docker Commands
Configuring Docker Builds
Building and Running Containers
Stopping Containers
Running Containers on Compute Engine
Activity: Creating a Docker Image
Continuous Integration on GCP
Cloud Source Repositories
Cloud Build
Container Registry
Triggers
Custom Builds
Activity: Setting Up a Continuous Integration Pipeline
Exam Prep
Quiz

Module 4: Automating GCP Resource Deployment
Google Cloud SDK
Initializing gcloud
gcloud Commands
Activity: Deploying a Service using the Command-Line Interface
Deployment Manager
YAML Templates
Jinja Templates
Configuring Networks and Subnets
Configuring Firewall Rules
Configuring Virtual Machines
Activity: Deploying a Service using a Deployment Manager Template
Kubernetes
Creating Clusters
Connecting to Clusters
Kubernetes Objects
Kubernetes Commands
Configuring Deployments
Configuring Services
Configuring Autoscalers
Activity: Deploying a Service with Kubernetes
Leveraging NoOps, Serverless Services
App Engine
Deploying to App Engine
Cloud Functions
Activity: Deploying to Cloud Functions
Exam Prep
Quiz

Module 5: Using Google Cloud Storage
Google Cloud Storage Overview
Buckets
Naming Buckets
Storage Classes
IAM
ACLs
Versioning
Lifecycle Rules
Configuring as a Website
DNS
Managing Storage with gsutil
gsutil Commands
Uploading Files
Multipart Uploads
Signed URLs
Activity: Using gsutil
GCP Storage API
Creating Buckets
Uploading Files
Accessing Files
Activity: Saving Images for the Web
Exam Prep
Quiz

Module 6: Storing Relational Data
Cloud SQL
Creating a Cloud SQL Database
Authorizing Networks
Connecting
Cloud SQL Proxy
Activity: Creating a Cloud SQL Database
Spanner
Creating Spanner Databases
Regional Deployment
Multi-Regional Deployments
Connecting to Spanner
Transactions
Stale Reads
Activity: Using Spanner
Exam Prep
Quiz

Module 7: Storing NoSQL Data
BigTable
Creating a Bigtable Database
Nodes
Tables and Tablets
Rows and Keys
Column Families and Columns
Using the Bigtable API
Activity: Using Bigtable
Datastore/Firestore
Creating a Datastore Database
Entities
Keys
Properties
Using the Datastore AP
Activity: Using Datastore
Exam Prep
Quiz

Module 8: Google Cloud Endpoints
API Gateways
Endpoints
Monitoring
API Management
Authentication and Authorization
Cloud Endpoints
Swagger
REST
gRPC
Defining Endpoints
Deploying APIs
Deploying the Backend
Using the API
Versioning
Activity: Deploying a Cloud Endpoints API
Exam Prep
Quiz

Module 9: Stackdriver
Monitoring
Metrics
Monitoring Agent
Dashboards
Alerts
Health Checks
Uptime Checks
Activity: Creating Dashboards, Uptime Check, and Alerts
Logging
Logs
Logging Agent
Log Filters
Exporting to Pub/Sub
Exporting to Storage
Exporting to BigQuery
Activity: Processing Log Data with Dataflow
Debugging
Debugger
Trace
Error Reporting
Exam Prep
Quiz

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