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Exam Number : Google-PCD
Exam Name : Professional Cloud Developer
Vendor Name : Google
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Google-PCD exam Format | Google-PCD Course Contents | Google-PCD Course Outline | Google-PCD exam Syllabus | Google-PCD exam Objectives


A Professional Cloud Developer builds scalable and highly available applications using Google-recommended practices and tools that leverage fully managed services. This individual has experience with cloud-native applications, runtime environments, developer tools, and next-generation databases. A Professional Cloud Developer also has proficiency with at least one general-purpose programming language and is skilled at producing meaningful metrics and logs to debug and trace code.

The Professional Cloud Developer exam assesses your ability to:
Design highly scalable, available, and reliable cloud-native applications
Build and test applications
Deploy applications
Integrate Google Cloud Platform services
Manage application performance monitoring

A Professional Cloud Developer builds scalable and highly available applications using Google-recommended practices and tools that leverage fully managed services. This individual has experience with cloud-native applications, runtime environments, developer tools, and next-generation databases. A Professional Cloud Developer also has proficiency with at least one general-purpose programming language and is skilled at producing meaningful metrics and logs to debug and trace code.

Section 1: Designing highly scalable, available, and reliable cloud-native applications
1.1 Designing high-performing applications and APIs. Considerations include:
- Microservices
- Scaling velocity characteristics/tradeoffs of IaaS (infrastructure as a service) vs. CaaS (container as a service) vs. PaaS (platform as a service)
- Evaluating different services and technologies
- Geographic distribution of Google Cloud services (e.g., latency, regional services, zonal services)
- Defining a key structure for high-write applications using Cloud Storage, Cloud Bigtable, Cloud Spanner, or Cloud SQL
- User session management
- Caching solutions
- Deploying and securing API services
- Loosely coupled applications using asynchronous Cloud Pub/Sub events
- Graceful shutdown on platform termination
- Google-recommended practices and documentation

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

1.3 Managing application data. Tasks include:
- 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:
- Cloud Storage-signed URLs for user-uploaded content
- Structured vs. unstructured data
- Strong vs. eventual consistency
- Data volume
- Frequency of data access in Cloud Storage
- Following Google-recommended practices and documentation

1.4 Refactoring applications to migrate to Google Cloud. Tasks include:
- Using managed services
- Migrating a monolith to microservices
- Google-recommended practices and documentation

Section 2: Building and Testing Applications
2.1 Setting up your local development environment. Considerations include:
- Emulating Google Cloud services for local application development
- Creating Google Cloud projects

2.2 Writing code. Considerations include:
- Algorithm design
- Modern application patterns
- Efficiency
- Agile software development
- Unit testing

2.3 Testing. Considerations include:
- Performance testing
- Integration testing
- Load testing

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

Section 3: Deploying applications
3.1 Recommend appropriate deployment strategies for the target compute environment (Compute Engine, Google Kubernetes Engine). Strategies include:
- Blue/green deployments
- Traffic-splitting deployments
- Rolling deployments
- Canary deployments

3.2 Deploying applications and services on Compute Engine. Tasks include:
- Installing an application into a VM
- Modifying the VM service account
- Manually updating dependencies on a VM
- Exporting application logs and metrics
- Managing Compute Engine VM images and binaries

3.3 Deploying applications and services to Google Kubernetes Engine (GKE). Tasks include:
- Deploying a containerized application to GKE
- Managing Kubernetes RBAC and Google Cloud IAM relationship
- Configuring Kubernetes namespaces and access control
- Defining workload specifications (e.g., resource requirements)
- Building a container image using Cloud Build
- Configuring application accessibility to user traffic and other services
- Managing container lifecycle
- Define deployments, services, and pod configurations
3.4 Deploying a Cloud Function. Types include:
- Cloud Functions that are triggered via an event (e.g., Cloud Pub/Sub events, Cloud Storage object change notification events)
- Cloud Functions that are invoked via HTTP
- Securing Cloud Functions

3.5 Using service accounts. Tasks include:
- Creating a service account according to the principle of least privilege
- Downloading and using a service account private key file

Section 4: Integrating Google Cloud Platform Services
4.1 Integrating an application with data and storage services. Tasks include:
- Read/write data to/from various databases (e.g., SQL, JDBC)
- Connecting to a data store (e.g., Cloud SQL, Cloud Spanner, Cloud Firestore, Cloud Bigtable)
- Writing an application that publishes/consumes data asynchronously (e.g., from Cloud Pub/Sub)
- Storing and retrieving objects from Cloud Storage
- Using the command-line interface (CLI), Google Cloud Console, and Cloud Shell tools

4.2 Integrating an application with compute services. Tasks include:
- Implementing service discovery in Google Kubernetes Engine and Compute Engine
- practicing instance metadata to obtain application configuration
- Authenticating users by using OAuth2.0 Web Flow and Identity Aware Proxy
- Using the command-line interface (CLI), Google Cloud Console, and Cloud Shell tools

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

Section 5: Managing Application Performance Monitoring
5.1 Managing Compute Engine VMs. Tasks include:
- Debugging a custom VM image using the serial port
- Analyzing a failed Compute Engine VM startup
- Analyzing logs
- Sending logs from a VM to Cloud Monitoring
- Inspecting resource utilization over time
- Viewing syslogs from a VM

5.2 Managing Google Kubernetes Engine workloads. Tasks include:
- Configuring logging and monitoring
- Analyzing container lifecycle events (e.g., CrashLoopBackOff, ImagePullErr)
- Analyzing logs
- Using external metrics and corresponding alerts
- Configuring workload autoscaling

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



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Google Cloud answers

Google Cloud VMware Engine: It’s under no circumstances Been more convenient for businesses to understand the Sustainability gains Inherent within the Google Cloud | Google-PCD braindumps and Practice Test

594553 vmw zero carbon commtted graphic only

“In 2018, their 2d 12 months of getting finished their goal of paying for as a whole lot renewable energy as the electrical energy they eat, they regarded deeper into their electricity usage and their renewable purchases and located that they have been still relying on carbon-primarily based power for a significant variety of hours per 12 months. So despite matching a hundred% of their annual consumption with renewables, they have been now not operating carbon free. Their 2030 carbon free goal moves us to precise decarbonization of their operations – no credits or offsets.”

-- June Yang, vice chairman and customary supervisor, Google Compute, Google Cloud

June Yang sees a superb possibility for all corporations to obtain the sustainability and environmental positive aspects inherent within the transition to cloud computing and much greater.

“As all companies turn into digital corporations, cloud know-how provides a chance to do this in an power-effective and carbon-free means. however that’s no longer all,” she says. “Cloud know-how also gives groups the scalable compute vigour, the skill to assemble, technique and analyze information; and the laptop gaining knowledge of tools that it's going to take to reply tough operational and environmental challenges.”

Yang elements to two projects that already exhibit cloud computing’s cloud computing’s talents to reduce emissions and the realm’s reliance on fossil fuels.

5 years in the past, Google and DeepMinds all started using laptop learning to control the cooling programs in Google’s statistics centers. today these identical techniques reduce the quantity of power required to chill Google’s most power-intense constructions via 30%. From that experience Google developed the commercial Adaptive Controls platform to permit synthetic intelligence-enabled energy reductions on a world scale – options it is going to make available to the greatest industrial firms.

earlier this yr, Google published the carbon qualities of its Google Cloud regions as well as an easy device to help customers select a Google Cloud region, taking variables like fee, latency, and sustainability under consideration. They shared this records to aid groups include carbon emissions into ordinary migration or development choices. And currently, Google Cloud took that a step additional and covered low-carbon indications interior their console place selectors.

“Integrating carbon affect into cloud migration procedure and user experience will assist their customers make extra sustainable IT decisions,” says Yang. 

Google is also pushing its personal aggressive effort to turn into carbon free by way of 2030 and sharing what it learns alongside the way.

“In 2018, their 2d yr of getting completed their intention of buying as tons renewable energy because the electricity they consume, they appeared deeper into their usage and found that they had been nonetheless counting on carbon-based power for a significant number of hours per year. So regardless of matching a hundred% of their annual consumption with renewables, they were not operating carbon free. Their 2030 carbon free intention strikes us to genuine decarbonization of their operations – no credits or offsets.”

Yang notes that it’s an effort so that you can require Google to take action in a couple of methods. These consist of the continued purchase of clean power, the development and commercialization of the new applied sciences vital to decarbonize the technology of electrical energy and robust advocacy.

Yang is positive, each for the long run and the synergy that makes Google and VMware herbal partners within the effort to provide all businesses with entry to cloud computing and the sustainability features it makes viable.

“after they first dependent their carbon neutrality aim lower back in 2007 it became in response to three pillars: operate as correctly as possible, transition to renewable power, and use fantastic carbon offsets for those emissions that they couldn’t yet mitigate,” Yang adds. “the first pillar of that intention – construct, control, and function digital infrastructure as efficiently as possible – is still extremely critical and holds real. Virtualization is and turned into a key component of that. The move to virtualized or software-defined environments helped make it possible to hold usual statistics middle energy consumption incredibly flat for the previous 10 years, whilst computing wants grew exponentially.”

helping corporations lessen Emissions with a flow to the Cloud

Now it’s certainly not been less complicated for organisations to recognise the sustainability gains inherent in the cloud and transition to the lower-emission operations made viable via the Google Cloud. The Google Cloud VMware Engine makes it effortless to raise and shift VM-based mostly purposes to Google Cloud seamlessly rapidly and easily.

“Google Cloud VMware Engine represents the quickest manner for businesses emigrate to the Google Cloud whereas still the usage of the VMware technologies they be aware of and have faith without a changes to their purposes or underlying guidelines or practices,” says Yang. “Our built-in networking, high-density platform and rapid node deployment (in about half-hour) saves time, reduces fees, and eliminates a great deal of the complexity and risk of relocating to the cloud. Personnel don’t have to study new equipment seeing that purposes run in a personal, native VMware ambiance in Google Cloud.”

as soon as within the Google Cloud these equal groups can become extra agile through the use of Google’s cloud features or lengthen their community with cloud catastrophe recuperation, backup and storage capabilities.

“The cloud enables high-quality trade for the ambiance, and they operate the cleanest cloud these days,” says Yang. “We’re actively engaged in vital courses like VMware Zero-Carbon committed and are integrating sustainability natively into their items. Any Google Cloud consumer may also with ease comprise sustainability into their determination-making method when choosing the place emigrate or construct their applications through the use of their essential area identifying device and settling on low-carbon options now indicated by using the gLeaf in the Google Cloud console.”  

learn extra about Google Cloud VMware Engine and its partnership with VMware right here.

Copyright © 2021 IDG Communications, Inc.




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