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Test Number : Google-PCD
Test Name : Professional Cloud Developer
Vendor Name : Google
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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 test 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
- memorizing 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 questions

Transitioning to the Cloud: It Shouldn’t believe All That diverse | Google-PCD PDF get and Latest Questions

When corporations world wide despatched their personnel domestic all over the pandemic, IT teams were forced to hit quickly ahead on plans to assist a more mobile workforce. The decent information is many IT groups had a blueprint in location to: speed up investment in cloud workloads, undertake zero-have faith safety policies and begin the use of the information superhighway as their simple method of connecting personnel to their work. however what turned into previously expected to be a sluggish, methodical transition with double- and triple-checks for assurance and value analysis became a mad sprint for the cloud.

Now, as they enter 2021, these applications that are basic for their corporations are, in lots of circumstances, safely working in the cloud. We’ve correctly supported an at-home personnel. now's the time for corporations to beginning asking the questions: is this sustainable, and is it in your price range? Cloud can quickly develop into advanced, as your IT groups shift their trust in information facilities and put in force web connections over which they not have direct manage. security, automation and resiliency develop into greater advanced, however additionally extra important than ever before. This new world represents new challenges, but it surely teams have the tools to clear up for them. 

For years, business networks had been enormously controlled, with principal investments made in tools and IT talent to help the community. they are y comfortable, automated and trusted to a large extent. When introducing new cloud environments, the equipment, talent and principles which have been applied to business networks for years can and may be carried over. Cloud workloads shouldn’t can charge more to be made efficient. To solve for these challenges, cloud onramp technology programmatically and on-demand can lengthen enterprise networks securely and efficiently to diverse clouds to entry the distributed workloads and SaaS functions.

technology is essential, but most CIOs will agree that it’s people and ability which are the essential ingredient. It quite simply isn’t sustainable to construct out teams to manage all of the new environments delivered by adopting a multicloud approach. Most businesses don’t have the resources to support a blue crew for AWS, a crimson team for Microsoft Azure and a eco-friendly crew for Google Cloud yet each and every of these environments is enjoyable. now not only should IT groups be capable of standardize on a administration platform for their cloud workloads, however that management platform may still appear, feel and act like that of the enterprise community. With cloud onramp expertise, you cannot simplest supply protection to investments made in americans and skill, but additionally make sure that the community will also be treated as a single system with safety and automation policies extending conclusion-to-conclusion.  this will allow far off employees to advantage from the equal ranges of security and software efficiency in the cloud as they do with their business on-premises techniques.

Complicating things further is connectivity. Many trust that the manner personnel work has permanently shifted. Some americans won’t be going back into the workplace full-time, and IT teams must ensure this cell personnel has the equipment it must be productive. the flexibility promised with the aid of cloud solves for part of this problem, but the adventure to the cloud isn’t a straight line. The information superhighway has develop into the basic beginning mechanism of those cloud workloads. in order that potential they need to carry an business-grade web.

disasters are a norm, no longer an exception, on the information superhighway. delivering an business-grade information superhighway ability building round these screw ups. during the past, this intended investing in redundant links, but nowadays, they now have clever community fabric in a position to ensuring resiliency without steady redundancy. These programmable, software-described network fabrics can intelligently opt for the way to get to the cloud based on expected quality of adventure, charge, resiliency and productivity. To operate successfully, connection paths may still not be chosen as a result of they are without difficulty obtainable.

There is no magical pipeline connecting a user to their cloud workloads, because the information superhighway is made from diverse disparate features. Connection facets could move through a content birth community, through an online service issuer, or through a network-as-a-carrier connection. Cloud onramp abstracts all of that, and if the network fabric is intelligent enough, can instantly choose the correct connections for the right purposes in order that the consumer adventure should be consistent.

These simple shifts -the place functions live and the way users entry them also requires a brand new approach to protection. essentially the most constructive method is to offer protection that's intrinsic to the software itself. This may also be an expectation for the greatest and most frequent SaaS enterprise functions, however likelihood is the equal cannot be talked about for each utility a company uses. this is the place visibility into the health and protection of a cloud application turns into paramount. agencies deserve to be capable of not only bear in mind whether an software is working as it should still, but if it isn’t, be capable of diagnose whether the issue is with the cloud issuer, the connection or the enterprise community link.

attending to the cloud (or in most situations, assorted clouds) shouldn’t be an conclusion-purpose. Cloud is a variety, no longer a destination. It shouldn’t consider dramatically distinct. If performed correct, cloud won’t require t a spread of materials, somewhat it's going to require a brand new method to readily practice existing elements and bring simplicity, agility and innovation 

For extra suggestions on how Cisco is simplifying purchasers’ event to cloud, you could examine greater about Cisco SD-WAN Cloud OnRamp here.

JL Valente is vice chairman, Product administration, commercial enterprise Routing, SD-WAN and Cloud Networking at Cisco.

Copyright © 2021 IDG Communications, Inc.


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