Professional Cloud Developer Exam Prep Workshop

DreamsPlus offers a comprehensive Cloud Developer Certification preparatory workshop designed specifically for cloud engineers aiming to excel in the Professional Cloud Developer certification exam provided by Google. Our expert trainers will guide you through the latest cloud development concepts, best practices, and strategies to ensure you are fully prepared. This Expert Cloud Developer Exam workshop focuses on essential skills and knowledge, delivering the tools and insights you need to pass the Cloud Developer Professional Exam Prep with confidence. Join us to gain hands-on experience and expert guidance, setting you up for success in achieving your certification goals.

Prepare for Google Certification with Confidence

Prepare for Google Certification with Confidence with DreamsPlus, your trusted partner in achieving Google’s prestigious certifications. Our tailored programs are designed to help you master Google’s certification exams, including Cloud Developer Certification, Expert Cloud Developer Exam, and Cloud Developer Professional Exam Prep.

At DreamsPlus, we offer a range of preparation options to fit your needs:

1. Interactive Workshops: Dive into hands-on, instructor-led sessions that cover essential exam topics and practical exercises. Our experts will guide you through every step, ensuring you understand key concepts and best practices.
2. Online Courses: Access a comprehensive suite of online modules featuring video lectures, quizzes, and practice exams. Learn at your own pace and revisit materials as needed to reinforce your knowledge.
3. Mock Exams and Practice Tests: Simulate the actual certification exams with our practice tests to gauge your readiness. These mock exams will help you familiarize yourself with the exam format and question styles.
4. Study Guides and Materials: Receive curated study resources, including detailed guides and practice questions. Focus your study efforts with targeted materials designed to cover all critical exam objectives.
5. One-on-One Coaching: Benefit from personalized sessions with our expert trainers. Get tailored advice, address specific questions, and gain deeper insights into complex topics.
6. Group Study Sessions: Collaborate with fellow learners in group settings to discuss exam content, solve practice problems, and enhance your understanding through shared knowledge.
7. Webinars and Q&A Sessions: Join live webinars to hear from experts on exam strategies and key topics. Engage in real-time Q&A sessions to clarify doubts and get expert advice.
8. Hands-On Labs and Exercises: Gain practical experience with guided labs and exercises that simulate real-world scenarios, reinforcing your theoretical knowledge and preparing you for practical challenges

Workshop Overview:

• 2-day intensive exam prep workshop
• Expert trainers with real-world experience
• Comprehensive course material
• Interactive sessions and group discussions
• Practice exams and assessments

Course Highlights:

• Review cloud development fundamentals
• Focus on exam objectives and question types
• Practice with real-world scenarios and case studies
• Get tips and strategies for passing the exam

Professional Cloud Developer

Section 1: Designing scalable, available, and reliable cloud-native applications (~33% of the exam)

1.1 Designing high-performing applications and APIs. Considerations include:

• Microservices architecture
• Selecting the right platform according to the requirements and use case (e.g., infrastructure as a service, platform as a service, container as a service, and function as a service
• Modernising applications (such as containerisation)
• Being aware of the geographical distribution of Google Cloud services (e.g., latency, regional services, zonal services) 
• Management of user sessions
• Caching options The differences between GRPC (Google Remote Procedure Call) and HTTP REST; The incorporation of Apigee’s Service Control capabilities;
• Loosely coupled asynchronous applications (such as Apache Kafka, Pub/Sub, and Eventarc);
• The instrumentation of code to generate metrics, logs, and traces;
• Cost and resource optimisation;
• The graceful handling of errors, disasters, and scaling events

1.2 Designing secure applications. Considerations include:

• Implementing residency and data lifecycle in accordance with relevant statutory requirements
• Security methods (such as Web Security Scanner and Identity-Aware Proxy [IAP]) that detect vulnerabilities and safeguard resources and services
•  Security techniques (like Container Analysis) that safeguard/scan application manifests, dependencies, and binaries
•  Application secrets and encryption keys (such as Secret Manager and Cloud Key Management Service) are stored, accessed, and rotated.
•  Logging in to Google Cloud services (using OAuth 2.0, JSON Web Token [JWT], and application default credentials, for example)
•  Identity and Access Management (IAM) roles for users, groups, and service accounts
• End-user account management and authentication via Identity Platform
  Protecting communications between services (such as Kubernetes namespaces, Kubernetes network policies, and service mesh)
•  Operating services (like Workload Identity and Workload Identity Federation) with least privileged access and no password
•  Authentication based on certificates (like SSL and mTLS)
  Levels of the Software Artefact Supply Chain

1.3 Choosing storage options for application data. Considerations include:

•       Temporary object access;
•       Data retention policies;
•       Structured versus unstructured data (e.g., SQL versus NoSQL); Strong versus eventual consistency;
•       Data volume; Data access patterns;
•       Online transaction processing (OLTP) versus data warehousing

Section 2: Building and testing applications (~26% of the exam)

2.1 Setting up your local development environment. Considerations include:

• Using the Google Cloud console, Google Cloud SDK, Cloud Shell, and Cloud Workstations to simulate Google Cloud services for local application development
• Using development tools (such Cloud Code, Skaffold, and typical IDEs)
• Authenticating to Google Cloud services (like AlloyDB and Cloud SQL Auth proxies)

2.2 Building. Considerations include:

• Using services (such as Cloud Build and Artefact Registry) to produce deployment artefacts in order to establish a continuous integration pipeline;
• Creating safe container images from code;
• Managing source code
•  Optimising test builds and code

2.3 Testing. Considerations include:

• The steps involved in testing include unit testing,
• Integration testing (which involves using emulators),
• Performance testing,
• Load testing,
• Failure testing,
• Chaos engineering.

Section 3: Deploying applications (~19% of the exam)

3.1 Adopting appropriate feature rollout strategies. Considerations include:

•       A/B testing, feature flags,
•       backward compatibility,
•       versioning APIs (like Apigee)

3.2 Deploying applications to a serverless computing environment. Considerations include:

•       Deploying apps from source code;
•       Configuring event receivers (e.g., Eventarc, Pub/Sub);
•       Exposing and safeguarding application APIs (e.g., Apigee);
•       Using triggers to call functions

3.3 Deploying applications and services to Google Kubernetes Engine (GKE). Considerations include:

• Launching a containerised application on GKE
• Connecting Kubernetes role-based access control (RBAC) to Identity and Access Management (IAM)
•  Establishing workload parameters, such as resource needs
  Constructing a container image through the use of Cloud Build

Section 4: Integrating applications with Google Cloud services (~22% of the exam)

4.1 Integrating applications with data and storage services. Considerations include:

• Handling connections to datastores (such Firestore, Cloud SQL, Bigtable, and Cloud Storage)
• Reading and writing data to and from different datastores
• Developing an application that uses or publishes data asynchronously (from streaming or Pub/Sub sources, for example)
•  Utilise Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler to coordinate application services.

4.2 Integrating applications with Google Cloud APIs. Considerations include:

• Turning on Google Cloud features
•  Using approved options (such as Cloud Client Library, REST API, gRPC, API Explorer) to make API requests    while keeping the following in mind: Requests for batching
•  Limiting the amount of return data, paginating the results, caching the results, handling errors (e.g.,      exponential backoff)
•  Making Cloud API calls with service accounts
  Integrating the operations suite of Google Cloud