Containing Latest 2023 Updated Professional Cloud Developer Syllabus Questions
Google-PCD Exam Dumps of Actual Questions

Practice Tests with Actual Google-PCD Exam Questions - Updated on Daily Basis
100% Pass Guarantee

Learn these Google-PCD questions as well as answers prior to actual analyze
Move through each of our Google-PCD Exam Braindumps plus feel confident concerning the Google-PCD check. You may complete your examine at excessive signifies or if your cashback. We today get aggregated the actual database of Professional Cloud Developer Question Bank through actual test questions bank to end up being able to offer you a chance to acquire prepared as well as pass Google-PCD check on the actual preliminary try. Simply setup our Exam Sim and get prepared. You are likely to pass the specific Google-PCD test.

This site offers Actual Google-PCD exam Queries and Solutions Question Bank inside 2 platforms. Google-PCD LIBRO ELECTRONICO document along with Google-PCD VCE exam sim. Google-PCD Genuine test will be rapidly improved by Google in actual test. The particular Google-PCD Exam Cram PDF record could be down loaded on virtually any device. You could print Google-PCD Study Guide to generate your very own reserve. Our cross rate will be high to be able to 98. 9% and furthermore, the actual identicalness concerning our Google-PCD questions along with real analyze is 98%. Do you need accomplishment in the Google-PCD exam within one effort? Straight away visit download Google Google-PCD actual exam concerns at killexams.com.

The net is full of Question Bank suppliers the majority of all of them are selling outmoded and broken Google-PCD Study Guide. You should inquire in regards to the Valid along with 2022 Current Google-PCD Exam Cram supplier online. There are possibilities that you choose to not throw away your energy in research, just simply trust on killexams.com dissimilar to burning by many bucks on broken Google-PCD Study Guide. All of us guide you to check out killexams.com and acquire 100 percent cost-free Google-PCD Study Guide test concerns. You will be completed. Register and obtain a 3-4 months record to be able to download the newest and significant Google-PCD Exam Cram that contains True Google-PCD analyze questions along with replies. You need to unquestionably acquire Google-PCD VCE test program for your planning test.

A number of people download cost-free Google-PCD Study Guide PDF from the web and do an excellent struggle to remember those out-of-date questions. These people try to preserve a little Question Bank fee along with risk all the time and test fee. A substantial portion of those bombs their particular Google-PCD analyze. This is because, they put in energy inside obsolete questions and responses. Google-PCD analyze course, spots, and subject matter stay to switch by Google. That is constant Question Bank update is needed any other approach, you will see totally various questions and responses at analyze screen. This is a major problem with free LIBRO ELECTRONICO on the web. Additionally , you can not practice those questions with virtually any test program. You simply throw away part of property on outmoded material. All of us propose when this occurs, go through killexams.com to be able to download cost-free braindumps prior to purchase. Exam and see the actual progressions inside test subject matter. Then, at that time, choose to sign up for entire form of Google-PCD Study Guide. You will be shocked when you will discover every one of the questions on the actual test tv screen.

Features of Killexams Google-PCD Study Guide
-> Instant Google-PCD Study Guide acquire Access
-> Detailed Google-PCD Queries and Solutions
-> 98% Good results Rate regarding Google-PCD Assessment
-> Guaranteed True Google-PCD test questions
-> Google-PCD Questions Up-to-date on Standard basis
-> Good and 2022 Updated Google-PCD Exam Deposits
-> 100% Transportable Google-PCD Assessment Files
-> Whole featured Google-PCD VCE Assessment Simulator
-> Absolutely no Limit in Google-PCD Assessment Download Accessibility
-> Great Saving coupons
-> 100% Guaranteed Download Accounts
-> 100% Secrecy Ensured
-> 100 % Success Assure
-> 100% No cost Latest Topics example Questions
-> Absolutely no Hidden Charge
-> No Month to month Charges
-> Absolutely no Automatic Accounts Renewal
-> Google-PCD Exam Revise Intimation simply by Email
-> No cost Technical Support

Exam Aspect at: https://killexams.com/pass4sure/exam-detail/Google-PCD
Pricing Specifics at: https://killexams.com/exam-price-comparison/Google-PCD
See Full List: https://killexams.com/vendors-exam-list

Low cost Coupon in Full Google-PCD Study Guide real questions;
WC2020: 60% Toned Discount on each of your exam
PROF17: 10% Even more Discount in Value A lot more than $69
DEAL17: 15% Even more Discount in Value A lot more than $99

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

- Reading 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

Google guide