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Google Professional-Cloud-Developer Exam Syllabus Topics:

SectionWeightObjectives
Integrating applications with Google Cloud services21%- Consuming Google Cloud APIs and services
  • 1. Enabling and managing APIs
  • 2. Using client libraries, REST, and gRPC
  • 3. Integrating with AI/ML and generative AI services
- Integrating with data and storage services
  • 1. Working with relational, NoSQL, and in-memory databases
  • 2. Implementing messaging and event streaming
  • 3. Using object storage and file storage solutions
- Implementing application performance monitoring
  • 1. Using operations suite tools
  • 2. Instrumenting code for metrics and traces
Building and testing applications23%- Setting up development environments
  • 1. Using Cloud SDK, Cloud Code, Cloud Shell, and Cloud Workstations
  • 2. Emulating Google Cloud services locally
- Testing applications
  • 1. Writing unit, integration, and end-to-end tests
  • 2. Automating testing in CI/CD workflows
  • 3. Using AI-assisted development tools
- Building applications and containers
  • 1. Configuring build pipelines and provenance
  • 2. Using Cloud Build and Artifact Registry
  • 3. Implementing containerization best practices
Designing highly scalable, secure, and reliable cloud-native applications32%- Designing secure applications
  • 1. Securing data in transit and at rest
  • 2. Implementing authentication and authorization mechanisms
  • 3. Applying security best practices and compliance requirements
- Designing for observability and monitoring
  • 1. Planning logging, metrics, and tracing strategies
  • 2. Designing for debugging and troubleshooting
- Designing high-performing applications and APIs
  • 1. Optimizing for latency and throughput
  • 2. Designing for high availability and fault tolerance
  • 3. Selecting appropriate compute and deployment platforms
Configuring cloud-native applications for deployment24%- Deploying applications to Cloud Run
  • 1. Integrating with event-driven services
  • 2. Deploying from source code or containers
  • 3. Configuring scaling, networking, and security
- Deploying applications to Google Kubernetes Engine
  • 1. Managing configurations and secrets
  • 2. Creating and managing workloads and services
  • 3. Configuring scaling, auto-scaling, and updates
- Deploying to App Engine or Cloud Functions
  • 1. Configuring serverless deployments
  • 2. Managing versions and traffic splitting

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Google Certified Professional - Cloud Developer Sample Questions (Q94-Q99):

NEW QUESTION # 94
You are developing an application using different microservices that should remain internal to the cluster. You want to be able to configure each microservice with a specific number of replicas. You also want to be able to address a specific microservice from any other microservice in a uniform way, regardless of the number of replicas the microservice scales to. You need to implement this solution on Google Kubernetes Engine. What should you do?

Answer: C


NEW QUESTION # 95
Case Study 1 - HipLocal
Company Overview
HipLocal is a community application designed to facilitate communication between people in close proximity. It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
Executive Statement
We are the number one local community app; it's time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10000 miles away from each other.
Solution Concept
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones. They will need to ensure that the application scales smoothly and provides clear uptime data.
Existing Technical Environment
HipLocal's environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform. The HipLocal team understands their application well, but has limited experience in global scale applications. Their existing technical environment is as follows:
* Existing APIs run on Compute Engine virtual machine instances hosted in GCP.
* State is stored in a single instance MySQL database in GCP.
* Data is exported to an on-premises Teradata/Vertica data warehouse.
* Data analytics is performed in an on-premises Hadoop environment.
* The application has no logging.
* There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive.
Business Requirements
HipLocal's investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
* Expand availability of the application to new regions.
* Increase the number of concurrent users that can be supported.
* Ensure a consistent experience for users when they travel to different regions.
* Obtain user activity metrics to better understand how to monetize their product.
* Ensure compliance with regulations in the new regions (for example, GDPR).
* Reduce infrastructure management time and cost.
* Adopt the Google-recommended practices for cloud computing.
Technical Requirements
* The application and backend must provide usage metrics and monitoring.
* APIs require strong authentication and authorization.
* Logging must be increased, and data should be stored in a cloud analytics platform.
* Move to serverless architecture to facilitate elastic scaling.
* Provide authorized access to internal apps in a secure manner.
HipLocal's APIs are showing occasional failures, but they cannot find a pattern. They want to collect some metrics to help them troubleshoot.
What should they do?

Answer: A


NEW QUESTION # 96
Case Study 1 - HipLocal
Company Overview
HipLocal is a community application designed to facilitate communication between people in close proximity. It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
Executive Statement
We are the number one local community app; it's time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10000 miles away from each other.
Solution Concept
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones. They will need to ensure that the application scales smoothly and provides clear uptime data.
Existing Technical Environment
HipLocal's environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform. The HipLocal team understands their application well, but has limited experience in global scale applications. Their existing technical environment is as follows:
* Existing APIs run on Compute Engine virtual machine instances hosted in GCP.
* State is stored in a single instance MySQL database in GCP.
* Data is exported to an on-premises Teradata/Vertica data warehouse.
* Data analytics is performed in an on-premises Hadoop environment.
* The application has no logging.
* There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive.
Business Requirements
HipLocal's investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
* Expand availability of the application to new regions.
* Increase the number of concurrent users that can be supported.
* Ensure a consistent experience for users when they travel to different regions.
* Obtain user activity metrics to better understand how to monetize their product.
* Ensure compliance with regulations in the new regions (for example, GDPR).
* Reduce infrastructure management time and cost.
* Adopt the Google-recommended practices for cloud computing.
Technical Requirements
* The application and backend must provide usage metrics and monitoring.
* APIs require strong authentication and authorization.
* Logging must be increased, and data should be stored in a cloud analytics platform.
* Move to serverless architecture to facilitate elastic scaling.
* Provide authorized access to internal apps in a secure manner.
HipLocal has connected their Hadoop infrastructure to GCP using Cloud Interconnect in order to query data stored on persistent disks.
Which IP strategy should they use?

Answer: A

Explanation:
https://cloud.google.com/architecture/hadoop/hadoop-gcp-migration-data


NEW QUESTION # 97
Your company has a new security initiative that requires all data stored in Google Cloud to be encrypted by customer-managed encryption keys. You plan to use Cloud Key Management Service (KMS) to configure access to the keys. You need to follow the "separation of duties" principle and Google-recommended best practices. What should you do? (Choose two.)

Answer: D,E

Explanation:
https://cloud.google.com/kms/docs/separation-of-duties#using_separate_project Instead, to allow for a separation of duties, you could run Cloud KMS in its own project, for example your-key-project. Then, depending on the strictness of your separation requirements, you could either:
- (recommended) Create your-key-project without an owner at the project level, and designate an Organization Admin granted at the organization-level. Unlike an owner, an Organization Admin can't manage or use keys directly. They are restricted to setting IAM policies, which restrict who can manage and use keys. Using an organization-level node, you can further restrict permissions for projects in your organization.


NEW QUESTION # 98
You recently developed an application that monitors a large number of stock prices. You need to configure Pub/Sub to receive messages and update the current stock price in an in-memory database. A downstream service needs the most up-to-date prices in the in-memory database to perform stock trading transactions. Each message contains three pieces or information:
- Stock symbol
- Stock price
- Timestamp for the update
How should you set up your Pub/Sub subscription?

Answer: A


NEW QUESTION # 99
......

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