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Google Professional-Cloud-Developer Exam Syllabus Topics:

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

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Professional-Cloud-Developer Lerntipps & Professional-Cloud-Developer Probesfragen

Die neuesten Schulungsunterlagen zur Google Professional-Cloud-Developer (Google Certified Professional - Cloud Developer) Zertifizierungsprüfung von EchteFrage sind von den Expertenteams bearbeitet, die vielen beim Verwirklichen ihres Traums verhelfen. In der konkurrenzfähigen Gesellschaft muss man die Fachleute seine eigenen Kenntinisse und Technikniveau unter Beweis stellen, um seine Position zu verstärken. Durch die Google Professional-Cloud-Developer Zertifizierungsprüfung kann man seine Fähigkeiten beweisen. Mit dem Google Professional-Cloud-Developer Zertifikat werden große Veränderungen in Ihrer Arbeit stattfinden. Ihr Gehalt wird erhöht und Sie werden sicher befördert.

Google Certified Professional - Cloud Developer Professional-Cloud-Developer Prüfungsfragen mit Lösungen (Q22-Q27):

22. Frage
You need to deploy resources from your laptop to Google Cloud using Terraform. Resources in your Google Cloud environment must be created using a service account. Your Cloud Identity has the roles/iam.serviceAccountTokenCreator Identity and Access Management (IAM) role and the necessary permissions to deploy the resources using Terraform. You want to set up your development environment to deploy the desired resources following Google-recommended best practices. What should you do?

A. 1) Run the following command from a command line: gcloud auth application-default login.
2) In the browser window that opens, authenticate using your personal credentials.
B. 1) Run the following command from a command line: gcloud config set auth/impersonate_service_account service-account-name@project.iam.gserviceacccount.com.
2) Set the GOOGLE_OAUTH_ACCESS_TOKEN environment variable to the value that is returned by the gcloud auth print-access-token command.
C. 1) Store the service account's key file in JSON format in Hashicorp Vault.
2) Integrate Terraform with Vault to retrieve the key file dynamically, and authenticate to Vault using a short-lived access token.
D. 1) Download the service account's key file in JSON format, and store it locally on your laptop.
2) Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to the path of your downloaded key file.

Antwort: C

Begründung:
https://cloud.google.com/iam/docs/best-practices-for-managing-service-account-keys#file-system Whenever possible, avoid storing service account keys on a file system. If you can't avoid storing keys on disk, make sure to restrict access to the key file, configure file access auditing, and encrypt the underlying disk.
https://cloud.google.com/iam/docs/best-practices-for-managing-service-account-keys#software-keystore In situations where using a hardware-based key store isn't viable, use a software-based key store to manage service account keys. Similar to hardware-based options, a software-based key store lets users or applications use service account keys without revealing the private key. Software-based key store solutions can help you control key access in a fine-grained manner and can also ensure that each key access is logged.

23. Frage
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 group of developers copies the repository, commits their changes to their repository, and merges their code into the main repository before each product release.
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 after the change advisory board approves it.
C. Each developer creates a branch for their own work, commits their changes to their branch, and merges their code into the main branch daily.
D. Each developer commits their code to the main branch before each product release, conducts testing, and rolls back if integration issues are detected.

Antwort: B

Begründung:
Use a centralized repository. A centralized repository is a single location where all of your team's code is stored. This makes it easy for everyone to access the latest code, and it also helps to prevent conflicts. Use branches. Branches are a way to create a separate version of the code for development purposes. This allows developers to work on new features or bug fixes without affecting the main branch of the code.

24. Frage
Which service should HipLocal use to enable access to internal apps?

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

Antwort: A

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

25. Frage
You need to redesign the ingestion of audit events from your authentication service to allow it to handle a large increase in traffic. Currently, the audit service and the authentication system run in the same Compute Engine virtual machine. You plan to use the following Google Cloud tools in the new architecture:
Multiple Compute Engine machines, each running an instance of the authentication service Multiple Compute Engine machines, each running an instance of the audit service Pub/Sub to send the events from the authentication services.
How should you set up the topics and subscriptions to ensure that the system can handle a large volume of messages and can scale efficiently?

A. Create one Pub/Sub topic per authentication service. Create one pull subscription per topic to be used by one audit service.
B. Create one Pub/Sub topic. Create one push subscription with the endpoint pointing to a load balancer in front of the audit services.
C. Create one Pub/Sub topic. Create one pull subscription to allow the audit services to share the messages.
D. Create one Pub/Sub topic. Create one pull subscription per audit service instance to allow the services to share the messages.
E. Create one Pub/Sub topic per authentication service. Create one push subscription per topic, with the endpoint pointing to one audit service.

Antwort: C

Begründung:
Explanation
https://cloud.google.com/pubsub/docs/subscriber "Multiple subscribers can make pull calls to the same "shared" subscription. Each subscriber will receive a subset of the messages."

26. Frage
You want to upload files from an on-premises virtual machine to Google Cloud Storage as part of a data migration. These files will be consumed by Cloud DataProc Hadoop cluster in a GCP environment.
Which command should you use?

A. gcloud cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/
B. gcloud dataproc cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/
C. hadoop fs cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/
D. gsutil cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/

Antwort: D

Begründung:
Explanation
The gsutil cp command allows you to copy data between your local file. storage. boto files generated by running "gsutil config"

27. Frage
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Viele Menschen haben Sorgen darum, dass sie in der Prüfung durchfallen, auch wenn sie sich schon lange auf Google Professional-Cloud-Developer Prüfung vorbereitet, nur weil sie nicht an der Prüfungsatmosphäre gewöhnt sind. Deshalb bieten wir Ihnen die Möglichkeit, vor der Prüfung die realistische Prüfungsatmosphäre zu erfahren. Google Professional-Cloud-Developer Simulierte-Software enthält zahlreiche Prüfungsaufgaben mit ausführliche Erklärungen der Antworten von den Experten. Damit können Sie Ihre Fähigkeit verbessern und ausreichende Vorbereitung der Google Professional-Cloud-Developer Prüfung haben.

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