Professional Cloud Developer: Professional Cloud Developer Exam – Complete Certification Training Course & Exam Dumps

Curriculum For This Course

Introduction to Course

4Lectures

Time 00:12:00

Course Readiness

7Lectures

Time 00:22:00

Introduction to Google Cloud Platform

5Lectures

Time 00:32:00

Compute Engine

4Lectures

Time 00:34:00

App Engine - PaaS

3Lectures

Time 00:23:00

Kubernetes Engine

3Lectures

Time 00:25:00

Cloud Functions

2Lectures

Time 00:11:00

Cloud Storage

4Lectures

Time 00:51:00

Networking

7Lectures

Time 00:50:00

Developing on Google Cloud Platform

6Lectures

Time 00:50:00

1. Designing highly scalable, available, and reliable cloud-native applications

63Lectures

Time 04:04:00

2. Building and Testing Applications

23Lectures

Time 01:53:00

3. Deploying applications

45Lectures

Time 03:25:00

4. Integrating Google Cloud Platform Services

35Lectures

Time 02:54:00

5. Managing Application Performance Monitoring

30Lectures

Time 02:20:00

Case Study - Hiplocal

3Lectures

Time 00:11:00

Resources to help Study and Tips to Prepare!

8Lectures

Time 00:30:00

Introduction to Course
	1. What is a GCP Professional Cloud Developer?	3:00
	2. Cloud Developer Exam Objectives	5:00
	3. Cloud Developer Deep Dive Notes	2:00
	4. Course Setup	2:00

Course Readiness
	1. Course Material Download	2:00
	2. What are Test Tips?	2:00
	3. Whiteboards and Demos	1:00
	4. Sign up for Free Tier or Credits if available	2:00
	5. GCP Pricing Calculator	3:00
	6. SDK Install	10:00
	7. Read the GCP Cloud Developer Deep Dive Notes.	2:00

Introduction to Google Cloud Platform
	1. Google Cloud Intro (Condensed Version)	8:00
	2. GCP Hierarchy	9:00
	3. Whiteboard GCP Hierarchy	6:00
	4. Demo - Projects	5:00
	5. Compute Options	4:00

Compute Engine
	1. Compute Engine	14:00
	2. Compute Engine Demo	8:00
	3. Instance Groups	2:00
	4. Instance Groups Demo	10:00

App Engine - PaaS
	1. App Engine Security Scanner	6:00
	2. App Engine Demo	9:00
	3. App Engine or Kubernetes Engine	8:00

Kubernetes Engine
	1. Kubernetes Engine	9:00
	2. Demo- Kubernetes Engine	6:00
	3. Whiteboard - Kubernetes	10:00

Cloud Functions
	1. Cloud Functions Basics	7:00
	2. Cloud Functions Demo	4:00

Cloud Storage
	1. Data Storage Basics	12:00
	2. Cloud Storage Basics	10:00
	3. Cloud Storage	16:00
	4. Cloud Storage Demo Part2	13:00

Networking
	1. Networking Overview	10:00
	2. VPC Overview	11:00
	3. IP Addressing	3:00
	4. Networking Whiteboard	11:00
	5. Networking Demo	4:00
	6. VPC Whiteboard	5:00
	7. Hybrid Connectivity Networking Whiteboard	6:00

Developing on Google Cloud Platform
	1. Download SDK	10:00
	2. Devops on GCP Part 1	17:00
	3. Devops on GCP Part 2	6:00
	4. Cloud Source Repositories Demo	9:00
	5. Cloud Build Demo	5:00
	6. Demo Gcloud Commands	3:00

1. Designing highly scalable, available, and reliable cloud-native applications
	1. Section 1 Coverage	2:00
	2. 1.1 Designing performant applications and APIs	1:00
	3. Infrastructure as a Service vs. Container as a Service vs. Platform as a Service	3:00
	4. Portability vs. platform-specific design	4:00
	5. Evaluating System Considerations	7:00
	6. Operating system versions and base runtimes of services	3:00
	7. Service Locality	3:00
	8. Whiteboard Service Locality	6:00
	9. Locality Test Tips	3:00
	10. Microservices	3:00
	11. Whiteboard- Microservices	5:00
	12. Testips - Microservices	1:00
	13. Defining a key structure for high write applications using Cloud Storage, Cloud	7:00
	14. Defining a key structure Test Tips	1:00
	15. Session management	5:00
	16. Test Tips Session Management	2:00
	17. Loosely coupled applications using asynchronous Cloud Pub/Sub events	3:00
	18. Demo Pub Sub	3:00
	19. Test Tips Cloud Pub Sub	1:00
	20. Deploying and securing an API with cloud endpoints	11:00
	21. Demo Cloud Endpoints	4:00
	22. Test Tips -API Management	2:00
	23. Health checks	4:00
	24. TestTips Healthchecks	1:00
	25. Google-recommended practices and documentation	5:00
	26. 1.2 Designing secure applications	1:00
	27. Applicable regulatory requirements and legislation	4:00
	28. TestTips Regulatory Requirements	1:00
	29. Security mechanisms that protect services and resources	6:00
	30. TestTips Security Mechanisms	1:00
	31. Storing and rotating secrets	12:00
	32. Secrets Whiteboard	6:00
	33. TestTips Secrets	3:00
	34. IAM roles for users/groups/service accounts	9:00
	35. IAM Whiteboard	2:00
	36. TestTips IAM	3:00
	37. HTTPs certificates	1:00
	38. Test Tips Https Certificates	1:00
	39. Demo Https Certificates	2:00
	40. Google-recommended practices and documentation	2:00
	41. Defining database schemas for Google-managed databases	7:00
	42. Session Management	5:00
	43. TestTips Session Management	2:00
	44. Loosely Coupled Apps – Cloud Pub/Sub	3:00
	45. Demo - Loosely Coupled Apps – Cloud Pub/Sub	3:00
	46. Whiteboard - Cloud Pub/Sub	5:00
	47. TestTips Loosely Coupled Apps – Cloud Pub/Sub	1:00
	48. Deploying and securing an API with cloud endpoints	11:00
	49. Demo Deploying and securing an API with cloud endpoints	4:00
	50. TesTips Deploying and securing an API with cloud endpoints	2:00
	51. TestTips Health Checks	4:00
	52. Health Checks	4:00
	53. Choosing data storage options based on use case considerations	6:00
	54. TestTips Data Storage	1:00
	55. Working with data ingestion systems	9:00
	56. Following Google-recommended practices and documentation	5:00
	57. Using managed services	4:00
	58. Using the strangler pattern for migration	3:00
	59. Strangler Whiteboard	5:00
	60. Codelabs - Exercise for Practice- Cloud Functions	2:00
	61. Codelabs - Cloud Pub/sub	1:00
	62. Google-recommended practices and documentation	5:00
	63. Section Review Questions	8:00

2. Building and Testing Applications
	1. Section 2 Building and Testing Applications	2:00
	2. Local application development emulations	1:00
	3. Developer Tools and SDK	4:00
	4. Demo SDK Install and basic commands	13:00
	5. Demo SDK Emulators	6:00
	6. Demo CLI Create Project	9:00
	7. 2.2 Building a continuous integration pipeline	1:00
	8. Creating a Cloud Source Repository and committing code to it	8:00
	9. DevOps and Pipelines	10:00
	10. Developing unit tests for all code written	7:00
	11. Developing an integration pipeline using services	4:00
	12. Reviewing test results of continuous integration pipeline	1:00
	13. TestTips	2:00
	14. Whiteboard - DevOps	5:00
	15. 2.3 Testing. Considerations include:	1:00
	16. Performance Testing	9:00
	17. Whiteboard Testing	9:00
	18. TestTips Testing	3:00
	19. Algorithm design	1:00
	20. Modern application patterns	2:00
	21. Efficiency	4:00
	22. TestTips	2:00
	23. Section Review Questions	9:00

3. Deploying applications
	1. Section 3	3:00
	2. 3.1 Implementing appropriate deployment strategies based on the target compute	1:00
	3. Blue Green Deployments	6:00
	4. Whiteboard App Engine	8:00
	5. Demo App Engine	3:00
	6. 3.2 Deploying applications and services on Compute Engine	1:00
	7. Launching a compute instance using GCP Console and Cloud SDK	8:00
	8. Moving a persistent disk to different VM	6:00
	9. Creating an autoscaled managed instance group using an instance template	11:00
	10. Generating/uploading a custom SSH key for instances	4:00
	11. Configuring a VM for Stackdriver monitoring and logging	5:00
	12. Creating an instance with a startup script that installs software	3:00
	13. Creating custom metadata tags	5:00
	14. Creating a load balancer for Compute Engine instances	10:00
	15. 3.3 Deploying applications and services on Google Kubernetes Engine	1:00
	16. Deploying a GKE cluster	4:00
	17. Kubenetes Engine Whiteboard	10:00
	18. Kubenetes Engine Clusters Demo	18:00
	19. TestTips	2:00
	20. 3.4 Deploying an application to App Engine. Considerations include:	1:00
	21. Scaling configuration	10:00
	22. GKE or App Engine	8:00
	23. TestTips App Engine	3:00
	24. Cloud Functions that are triggered via an event	5:00
	25. Cloud Functions that are invoked via HTTP	2:00
	26. 3.6 Creating data storage resources. Tasks include:	1:00
	27. Creating a Cloud SQL instance	4:00
	28. Cloud Datastore	13:00
	29. Creating BigQuery datasets	3:00
	30. Creating a Cloud Storage bucket	7:00
	31. Creating a Cloud Pub/Sub topic	5:00
	32. TestTips Create data storage	1:00
	33. 3.7 Deploying and implementing networking resources. Tasks include: Creating an	1:00
	34. Creating an auto mode VPC with subnets	4:00
	35. Setting up a domain using Cloud DNS	4:00
	36. TestTips Networking	3:00
	37. 3.8 Automating resource provisioning with Deployment Manager	1:00
	38. Deployment Manager	2:00
	39. Deployment Manager Demo	7:00
	40. TestTips	1:00
	41. 3.9 Managing Service accounts. Tasks include: Creating a service account with a	1:00
	42. Service Accounts	4:00
	43. Save KeyFile	3:00
	44. Codelabs	1:00
	45. TestTips	1:00

4. Integrating Google Cloud Platform Services
	1. Section 4 Overview	1:00
	2. Enable Bigquery and permissions on dataset	11:00
	3. SQL Searches/Selects	4:00
	4. Whiteboard- Fetching Ingesting data	4:00
	5. Codelab -Biquery	1:00
	6. BigTable or BigQuery	2:00
	7. Writing an SQL query to retrieve data from relational databases	9:00
	8. Connecting to SQL	3:00
	9. Gsutil Storing and retrieving objects from Google Storage	4:00
	10. Quickstart - Cloud Storage GsUtil	1:00
	11. Connecting to a Cloud SQL instance	3:00
	12. Enabling Cloud Spanner and configuring an instance	8:00
	13. Cloud Spanner Whitepaper	1:00
	14. Demo -Cloud Spanner	16:00
	15. Cloud Spanner Best Practices	5:00
	16. DataProc or Dataflow	1:00
	17. TestTips	4:00
	18. Configuring a Cloud Pub/Sub push subscription to call an endpoint	5:00
	19. Data Ingestion Sources	3:00
	20. 4.2 Integrating an application with compute services. Tasks include:	1:00
	21. Provisioning and configuring networks	11:00
	22. Writing an application that publishes/consumes from Cloud Pub/Sub	5:00
	23. Authenticating users by using Oauth2 Web Flow and Identity Aware Proxy	7:00
	24. Reading instance metadata to obtain application configuration	4:00
	25. TestTips Oath	2:00
	26. 4.3 Integrating Google Cloud APIs with applications. Tasks include:	1:00
	27. Enable API	16:00
	28. Using Pre Trained ML APIS	6:00
	29. Using service accounts to make Google API calls	3:00
	30. Using APIs Calls	1:00
	31. Making API calls	8:00
	32. Using the Cloud SDK to perform Basic Tasks	8:00
	33. DLP API	9:00
	34. TestTips	1:00
	35. Section Review Questions	5:00

5. Managing Application Performance Monitoring
	1. Objectives 5.1 Installing Monitoring and Logging	1:00
	2. Install Stackdriver Monitoring Agent	1:00
	3. Objectives 5.2	1:00
	4. Debugging a VM image with serial port	6:00
	5. Using the CLI tools	6:00
	6. Analyzing a failed VM instance	1:00
	7. Sending Logs from a VM	6:00
	8. TestTips	1:00
	9. Objectives 5.3	1:00
	10. Monitoring Dashboard and Views	1:00
	11. Create Monitoring Dashboard Stackdriver	7:00
	12. Viewing Logs In Console	6:00
	13. Viewing Syslogs from a VM	4:00
	14. Streaming Logs	5:00
	15. Creating Logging Sinks	6:00
	16. Create Custom Metrics	5:00
	17. Graphing Metrics	7:00
	18. Using Stackdriver Debugger	8:00
	19. Review Stack Traces	8:00
	20. TestTips	4:00
	21. Objectives 5.4	1:00
	22. Setting Up time checks and basic alerts	6:00
	23. Troubleshooting Network Issues	11:00
	24. API Debbugging	5:00
	25. Codelab Networking For Developers	2:00
	26. Review App Performance Stackdriver	11:00
	27. Troubleshooting Image and OS	10:00
	28. Docs and Support	4:00
	29. TestTips	1:00
	30. Section Review Questions	4:00

Case Study - Hiplocal
	1. Case Study Overview	4:00
	2. Case Study Sample Questions	4:00
	3. TestTips	3:00

Resources to help Study and Tips to Prepare!
	1. Pricing Calculator	3:00
	2. Qwiklabs	5:00
	3. Codelabs Free to Use	4:00
	4. Stackoverflow	4:00
	5. Project Treehouse	1:00
	6. GCP Pricing Calculator	7:00
	7. GCP Stencils and Icons	4:00
	8. Gcping	2:00

Free Professional Cloud Developer Exam Questions & Google Professional Cloud Developer Dumps
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Professional Cloud Developer: Professional Cloud Developer

Curriculum For This Course

Free Professional Cloud Developer Exam Questions & Google Professional Cloud Developer Dumps

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Curriculum For This Course

Free Professional Cloud Developer Exam Questions & Google Professional Cloud Developer Dumps

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