최신버전Professional-Cloud-Developer최신시험후기덤프는Google Certified Professional - Cloud Developer시험합격의유일한자료

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Google Professional-Cloud-Developer Exam Syllabus Topics:

SectionWeightObjectives
Configuring cloud-native applications for deployment24%- Deploying applications to Cloud Run
  • 1. Integrating with event-driven services
  • 2. Configuring scaling, networking, and security
  • 3. Deploying from source code or containers
- Deploying applications to Google Kubernetes Engine
  • 1. Creating and managing workloads and services
  • 2. Managing configurations and secrets
  • 3. Configuring scaling, auto-scaling, and updates
- Deploying to App Engine or Cloud Functions
  • 1. Managing versions and traffic splitting
  • 2. Configuring serverless deployments
Integrating applications with Google Cloud services21%- Consuming Google Cloud APIs and services
  • 1. Integrating with AI/ML and generative AI services
  • 2. Using client libraries, REST, and gRPC
  • 3. Enabling and managing APIs
- Integrating with data and storage services
  • 1. Working with relational, NoSQL, and in-memory databases
  • 2. Using object storage and file storage solutions
  • 3. Implementing messaging and event streaming
- Implementing application performance monitoring
  • 1. Using operations suite tools
  • 2. Instrumenting code for metrics and traces
Building and testing applications23%- 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. Implementing containerization best practices
  • 3. Using Cloud Build and Artifact Registry
- Setting up development environments
  • 1. Emulating Google Cloud services locally
  • 2. Using Cloud SDK, Cloud Code, Cloud Shell, and Cloud Workstations
Designing highly scalable, secure, and reliable cloud-native applications32%- 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. Selecting appropriate compute and deployment platforms
  • 2. Optimizing for latency and throughput
  • 3. Designing for high availability and fault tolerance
- 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

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최신 Cloud Developer Professional-Cloud-Developer 무료샘플문제 (Q117-Q122):

질문 # 117
Your company just experienced a Google Kubernetes Engine (GKE) API outage due to a zone failure. You want to deploy a highly available GKE architecture that minimizes service interruption to users in the event of a future zone failure. What should you do?

정답：A

설명：
Explanation
https://cloud.google.com/kubernetes-engine/docs/concepts/types-of-clusters#regional_clusters A regional cluster has multiple replicas of the control plane, running in multiple zones within a given region.
Nodes in a regional cluster can run in multiple zones or a single zone depending on the configured node locations. By default, GKE replicates each node pool across three zones of the control plane's region. When you create a cluster or when you add a new node pool, you can change the default configuration by specifying the zone(s) in which the cluster's nodes run. All zones must be within the same region as the control plane.


질문 # 118
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 data science team wants to analyze user reviews.
How should they prepare the data?

정답：C

설명：
https://cloud.google.com/architecture/de-identification-re-identification-pii-using-cloud-dlp De-identification of PII in large-scale datasets using Cloud DLP.
Cloud DLP enables transformations such as redaction, masking, tokenization, bucketing, and other methods of de-identification.


질문 # 119
Your teammate has asked you to review the code below, which is adding a credit to an account balance in Cloud Datastore.
Which improvement should you suggest your teammate make?

정답：A

설명：
Explanation/Reference:


질문 # 120
You are preparing to conduct a load test on your Cloud Run service by using JMeter. You need to orchestrate the steps and services to use for an effective load test and analysis. You want to follow Google-recommended practices. What should you do?

정답：D

설명：
https://cloud.google.com/run/docs/about-load-testing


질문 # 121
You are a developer at a financial institution You use Cloud Shell to interact with Google Cloud services. User data is currently stored on an ephemeral disk however a recently passed regulation mandates that you can no longer store sensitive information on an ephemeral disk. You need to implement a new storage solution for your user data You want to minimize code changes Where should you store your user data'?

정답：D


질문 # 122
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