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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Weight	Objectives
Configuring cloud-native applications for deployment	24%	- Deploying to App Engine or Cloud Functions 1. Configuring serverless deployments 2. Managing versions and traffic splitting - Deploying applications to Cloud Run 1. Deploying from source code or containers 2. Configuring scaling, networking, and security 3. Integrating with event-driven services - Deploying applications to Google Kubernetes Engine 1. Managing configurations and secrets 2. Configuring scaling, auto-scaling, and updates 3. Creating and managing workloads and services
Building and testing applications	23%	- Setting up development environments 1. Using Cloud SDK, Cloud Code, Cloud Shell, and Cloud Workstations 2. Emulating Google Cloud services locally - Testing applications 1. Automating testing in CI/CD workflows 2. Writing unit, integration, and end-to-end tests 3. Using AI-assisted development tools - Building applications and containers 1. Configuring build pipelines and provenance 2. Implementing containerization best practices 3. Using Cloud Build and Artifact Registry
Designing highly scalable, secure, and reliable cloud-native applications	32%	- Designing secure applications 1. Applying security best practices and compliance requirements 2. Securing data in transit and at rest 3. Implementing authentication and authorization mechanisms - Designing for observability and monitoring 1. Designing for debugging and troubleshooting 2. Planning logging, metrics, and tracing strategies - Designing high-performing applications and APIs 1. Optimizing for latency and throughput 2. Selecting appropriate compute and deployment platforms 3. Designing for high availability and fault tolerance
Integrating applications with Google Cloud services	21%	- Integrating with data and storage services 1. Implementing messaging and event streaming 2. Working with relational, NoSQL, and in-memory databases 3. Using object storage and file storage solutions - Consuming Google Cloud APIs and services 1. Enabling and managing APIs 2. Integrating with AI/ML and generative AI services 3. Using client libraries, REST, and gRPC - Implementing application performance monitoring 1. Using operations suite tools 2. Instrumenting code for metrics and traces

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Google Certified Professional - Cloud Developer Sample Questions (Q124-Q129):

NEW QUESTION # 124
You are a developer at a large organization. Your team uses Git for source code management (SCM). You want to ensure that your team follows Google-recommended best practices to manage code to drive higher rates of software delivery. Which SCM process should your team use?

A. Each developer commits their code to the main branch before each product release, conducts testing, and rolls back if integration issues are detected.
B. Each group of developers creates a feature branch from the main branch for their work, commits their changes to their branch, and merges their code into the main branch before each major release.
C. Each developer creates a branch for their own work, commits their changes to their branch, and merges their code into the main branch after peer review.
D. Each group of developers copies the repository, commits their changes to their repository, and merges their code into the main repository before each product release.

Answer: C

NEW QUESTION # 125
In order to meet their business requirements, how should HipLocal store their application state?

A. Replace the MySQL instance with Cloud SQL.
B. Use local SSDs to store state.
C. Move the state storage to Cloud Spanner.
D. Put a memcache layer in front of MySQL.

Answer: D

NEW QUESTION # 126
You are deploying a microservices application to GKE. One microservice needs to download files from a Cloud Storage bucket. You have an IAM service account with the Storage Object Viewer role on the project with the bucket. You need to configure your application to access the Cloud Storage bucket while following Google-recommended practices. What should you do?

A. Assign the IAM service account to the cluster's node pool. Configure the application to authenticate to the bucket by using Application Default Credentials.
B. Assign the IAM service account to the cluster's node pool. Encrypt the IAM service account key file by using a symmetric block cipher, and store the encrypted file on a persistent volume. Store the encryption key in Secret Manager.
C. Create a Kubernetes service account. Create a Kubernetes secret with a base64-encoded IAM service account key file. Annotate the Kubernetes secret with the Kubernetes service account.
Assign the Kubernetes ServiceAccount to the Pods that need to access the bucket.
D. Create a Kubernetes service account. Use an IAM policy to bind the IAM service account to a Kubernetes service account. Annotate the Kubernetes ServiceAccount object with the name of the bound IAM service account. Assign the Kubernetes ServiceAccount to the Pods that need to access the bucket.

Answer: D

Explanation:
This approach leverages Workload Identity, which is the Google-recommended way to securely allow applications running on GKE to access Google Cloud resources without needing to manage service account keys. By binding the IAM service account to a Kubernetes service account and annotating the Kubernetes service account with the IAM service account, the Pods can securely access Cloud Storage using Application Default Credentials.
This method follows best practices by avoiding static service account keys and instead using the identity federation between Kubernetes and Google Cloud IAM, which is secure and eliminates the need for key management.

NEW QUESTION # 127
You are supporting a business-critical application in production deployed on Cloud Run. The application is reporting HTTP 500 errors that are affecting the usability of the application. You want to be alerted when the number of errors exceeds 15% of the requests within a specific time window. What should you do?

A. Create a Cloud Function that consumes the Cloud Monitoring API Use Cloud Scheduler to trigger the Cloud Function daily and alert you if the number of errors is above the defined threshold
B. Create a Cloud Function that consumes the Cloud Monitoring API Use Cloud Composer to trigger the Cloud Function daily and alert you if the number of errors is above the defined threshold.
C. Create an alerting policy in Cloud Monitoring that alerts you if the number of errors is above the defined threshold.
D. Navigate to the Cloud Run page in the Google Cloud console, and select the service from the services list.
Use the Metrics tab to visualize the number of errors for that revision and refresh the page daily.

Answer: B

NEW QUESTION # 128
Which service should HipLocal use to enable access to internal apps?

A. Cloud Identity-Aware Proxy
B. Cloud Armor
C. Cloud VPN
D. Virtual Private Cloud

Answer: A

Explanation:
Reference:
https://cloud.google.com/iap/docs/cloud-iap-for-on-prem-apps-overview

NEW QUESTION # 129
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