Career Opportunity

Those individuals who have the Google Professional Cloud Developer certification can take up the job titles, such as Software Engineers, Solutions Architects, Operations Analysts, Web Application Developers, Senior Software Engineers, Information Security Managers, or Data Engineers. The average salary for these positions is $87,000 per annum.

Continuous Update system

To meet the needs of users, and to keep up with the trend of the examination outline, our products will provide customers with latest version of our products. Our company's experts are daily testing our Professional-Cloud-Developer study guide for timely updates. So we solemnly promise the users, our products make every effort to provide our users with the latest learning materials. As long as the users choose to purchase our Professional-Cloud-Developer exam preparation materials, there is no doubt that he will enjoy the advantages of the most powerful update. Most importantly, these continuously updated systems are completely free to users. As long as our Professional-Cloud-Developer learning material updated, users will receive the most recent information from our Professional-Cloud-Developer learning materials. So, buy our products immediately!

Highly practical online version

Our Professional-Cloud-Developer study guide design three different versions for all customers. These three different versions include PDF version, software version and online version, they can help customers solve any problems in use, meet all their needs. Although the three major versions of our Professional-Cloud-Developer exam torrent provide a demo of the same content for all customers, they will meet different unique requirements from a variety of users based on specific functionality. The most important feature of the online version of our Professional-Cloud-Developer learning materials are practicality. The online version is open to all electronic devices, which will allow your device to have common browser functionality so that you can open our products. At the same time, our online version of the Professional-Cloud-Developer study guide can also be implemented offline, which is a big advantage that many of the same educational products are not able to do on the market at present.

For more info visit:

Security & Identity Fundamentals Kubernetes in the Google Cloud Google Cloud documentation Google Cloud solutions

An authoritative think-tank

Our company has authoritative experts and experienced team in related industry. To give the customer the best service, all of our Professional-Cloud-Developer exam torrent materials is designed by experienced experts from various field, so our Professional-Cloud-Developer Learning materials will help to better absorb the test sites. One of the great advantages of buying our product is that can help you master the core knowledge in the shortest time. At the same time, our Professional-Cloud-Developer valid study guide materials discard the most traditional rote memorization methods and impart the key points of the qualifying exam in a way that best suits the user's learning interests, this is the highest level of experience that our most authoritative think tank brings to our Professional-Cloud-Developer study guide users. Believe that there is such a powerful expert help, our users will be able to successfully pass the qualification test to obtain the qualification certificate.

As the labor market becomes more competitive, a lot of people, of course including students, company employees, etc., and all want to get Google authentication in a very short time, this has developed into an inevitable trend. Each of them is eager to have a strong proof to highlight their abilities, so they have the opportunity to change their current status, including getting a better job, have higher pay, and get a higher quality of material, etc. It is not easy to qualify for a qualifying exam in such a short period of time. Our company's Professional-Cloud-Developer study guide is very good at helping customers pass the exam and obtain a certificate in a short time, and now I'm going to show you our Professional-Cloud-Developer exam torrent. Our products mainly include the following major features.

DOWNLOAD DEMO

Exam Overview

The Professional Cloud Developer certification exam is a 2-hour test covering the multiple-choice and multiple-select questions. It can be taken in English or Japanese and is available as an online proctored and an on-site proctored exam. The registration process costs $200, and this is for the delivery of a single test. The candidates who do not pass the exam must retake it to obtain the associated certificate. To do this, they must pay a new exam fee for their retake.

Reference: https://cloud.google.com/certification/cloud-developer

Topics of Google Professional Cloud Developer Exam

Candidates must know the exam topics before they start of preparation. because it will really help them in hitting the core. Our Google Professional Cloud Developer Dumps will include the following topics:

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

Designing high-performing applications and APIs

• Microservices
• Geographic distribution of Google Cloud services (e.g., latency, regional services, zonal services)
• User session management
• Scaling velocity characteristics/tradeoffs of IaaS (infrastructure as a service) vs. CaaS (container as a service) vs. PaaS (platform as a service)
• Loosely coupled applications using asynchronous Cloud Pub/Sub events
• Deploying and securing API services
• Graceful shutdown on platform termination
• Caching solutions
• Evaluating different services and technologies
• Defining a key structure for high-write applications using Cloud Storage, Cloud Bigtable, Cloud Spanner, or Cloud SQL
• Google-recommended practices and documentation

Designing secure applications

• Certificate-based authentication (e.g., SSL, mTLS)
• Security mechanisms that protect services and resources
• Set compute/workload identity to least privileged access
• Security mechanisms that secure/scan application binaries and manifests
• Implementing requirements that are relevant for applicable regulations (e.g., data wipeout)
• Securing service-to-service communications (e.g., service mesh, Kubernetes network policies, and Kubernetes namespaces)
• Storing and rotating application secrets using Cloud KMS
• IAM roles for users/groups/service accounts
• Authenticating to Google services (e.g., application default credentials, JWT, OAuth 2.0)
• Google-recommended practices and documentation

Managing application data

• Following Google-recommended practices and documentation
• Data volume
• Frequency of data access in Cloud Storage
• Defining database schemas for Google-managed databases (e.g., Cloud Firestore, Cloud Spanner, Cloud Bigtable, Cloud SQL)
• Choosing data storage options based on use case considerations, such as:
• Structured vs. unstructured data
• Cloud Storage-signed URLs for user-uploaded content
• Strong vs. eventual consistency

Refactoring applications to migrate to Google Cloud

• Using managed services
• Migrating a monolith to microservices
• Google-recommended practices and documentation

2 Building and Testing Applications

Setting up your local development environment

• Emulating Google Cloud services for local application development
• Creating Google Cloud projects

Writing code

• Efficiency
• Algorithm design
• Modern application patterns
• Agile software development
• Unit testing

Testing

• Load testing
• Performance testing
• Integration testing

Building

• Developing a continuous integration pipeline using services (e.g., Cloud Build, Container Registry) that construct deployment artifacts
• Reviewing and improving continuous integration pipeline efficacy
• Creating container images from code
• Creating a Cloud Source Repository and committing code to it

3 Deploying applications

Recommend appropriate deployment strategies for the target compute environment (Compute Engine, Google Kubernetes Engine). Strategies include:

• Traffic-splitting deployments
• Rolling deployments
• Blue/green deployments
• Canary deployments

Deploying applications and services on Compute Engine

• Exporting application logs and metrics
• Manually updating dependencies on a VM
• Installing an application into a VM
• Modifying the VM service account
• Managing Compute Engine VM images and binaries

Deploying applications and services to Google Kubernetes Engine (GKE)

• Defining workload specifications (e.g., resource requirements)
• Managing Kubernetes RBAC and Google Cloud IAM relationship
• Building a container image using Cloud Build
• Managing container lifecycle
• Deploying a containerized application to GKE
• Configuring application accessibility to user traffic and other services
• Configuring Kubernetes namespaces and access control
• Define deployments, services, and pod configurations

Deploying a Cloud Function

• Cloud Functions that are invoked via HTTP
• Cloud Functions that are triggered via an event (e.g., Cloud Pub/Sub events, Cloud Storage object change notification events)
• Securing Cloud Functions

Using service accounts

• Creating a service account according to the principle of least privilege
• Downloading and using a service account private key file

4 Integrating Google Cloud Platform Services

Integrating an application with data and storage services

• Storing and retrieving objects from Cloud Storage
• Using the command-line interface (CLI), Google Cloud Console, and Cloud Shell tools
• Writing an application that publishes/consumes data asynchronously (e.g., from Cloud Pub/Sub)
• Connecting to a data store (e.g., Cloud SQL, Cloud Spanner, Cloud Firestore, Cloud Bigtable)
• Read/write data to/from various databases (e.g., SQL, JDBC)

Integrating an application with compute services

• Using the command-line interface (CLI), Google Cloud Console, and Cloud Shell tools
• Reading instance metadata to obtain application configuration
• Authenticating users by using OAuth2.0 Web Flow and Identity Aware Proxy
• Implementing service discovery in Google Kubernetes Engine and Compute Engine

Integrating Google Cloud APIs with applications

• Restricting return data
• Paginating results
• Using service accounts to make Google API calls
• Caching results
• Making API calls with a Cloud Client Library, the REST API, or the APIs Explorer, taking into consideration:
• Error handling (e.g., exponential backoff)
• Enabling a Google Cloud API
• Batching requests

5 Managing Application Performance Monitoring

Managing Compute Engine VMs

• Viewing syslogs from a VM
• Inspecting resource utilization over time
• Sending logs from a VM to Cloud Monitoring
• Analyzing a failed Compute Engine VM startup
• Debugging a custom VM image using the serial port
• Analyzing logs

Managing Google Kubernetes Engine workloads

• Analyzing container lifecycle events (e.g., CrashLoopBackOff, ImagePullErr)
• Analyzing logs
• Configuring logging and monitoring
• Using external metrics and corresponding alerts
• Configuring workload autoscaling

Troubleshooting application performance

• Creating a monitoring dashboard
• Profiling services
• Writing custom metrics and creating metrics from logs
• Monitoring and profiling a running application
• Graphing metrics
• Using documentation, forums, and Google support
• Using Cloud Debugger
• Profiling performance of request-response
• Reviewing stack traces for error analysis
• Viewing logs in the Google Cloud Console
• Exporting logs from Google Cloud
• Reviewing application performance (e.g., Cloud Trace, Prometheus, OpenCensus)