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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: 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 - Implementing application performance monitoring 1. Using operations suite tools 2. Instrumenting code for metrics and traces - 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
Topic 2: Configuring cloud-native applications for deployment	24%	- 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 - Deploying applications to Cloud Run 1. Deploying from source code or containers 2. Integrating with event-driven services 3. Configuring scaling, networking, and security - Deploying to App Engine or Cloud Functions 1. Configuring serverless deployments 2. Managing versions and traffic splitting
Topic 3: Designing highly scalable, secure, and reliable cloud-native applications	32%	- 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. Designing for high availability and fault tolerance 3. Selecting appropriate compute and deployment platforms - Designing secure applications 1. Implementing authentication and authorization mechanisms 2. Applying security best practices and compliance requirements 3. Securing data in transit and at rest
Topic 4: Building and testing applications	23%	- Testing applications 1. Using AI-assisted development tools 2. Writing unit, integration, and end-to-end tests 3. Automating testing in CI/CD workflows - Building applications and containers 1. Configuring build pipelines and provenance 2. Using Cloud Build and Artifact Registry 3. Implementing containerization best practices - Setting up development environments 1. Using Cloud SDK, Cloud Code, Cloud Shell, and Cloud Workstations 2. Emulating Google Cloud services locally

>> Professional-Cloud-Developer最新対策問題 <<

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Professional-Cloud-Developer試験の質問は、Tech4Examお客様のニーズを最大限に満たすことができます。また、Professional-Cloud-Developer学習教材は、お客様の観点から最大限に設計されています。したがって、運用の複雑さを心配する必要はありません。システムの学習インターフェイスに入り、WindowsソフトウェアでProfessional-Cloud-Developer学習教材の練習を開始すると、インターフェイスに小さなボタンが表示されます。これらのボタンには回答が表示され、学習プロセスを妨げないように、Professional-Cloud-Developer試験クイズのGoogle Certified Professional - Cloud Developer学習中に回答を非表示にすることができます。すべての面が完璧です。

Google Certified Professional - Cloud Developer 認定 Professional-Cloud-Developer 試験問題 (Q147-Q152):

質問 # 147
You are working on a social media application. You plan to add a feature that allows users to upload images.
These images will be 2 MB - 1 GB in size. You want to minimize their infrastructure operations overhead for this feature. What should you do?

A. Change the application to create signed URLs for Cloud Storage. Transfer these signed URLs to the client application to upload images to Cloud Storage.
B. Change the application to accept images directly and store them in the database that stores other user information.
C. Create a separate bucket for each user in Cloud Storage. Assign a separate service account to allow write access on each bucket. Transfer service account credentials to the client application based on user information. The application uses this service account to upload images to Cloud Storage.
D. Set up a web server on GCP to accept user images and create a file store to keep uploaded files. Change the application to retrieve images from the file store.

正解：A

解説：
Explanation/Reference: https://cloud.google.com/blog/products/storage-data-transfer/uploading-images-directly-to-cloud- storage-by-using-signed-url

質問 # 148
You have a Cloud Run service that connects to a Cloud SQL Enterprise edition database instance using the default Cloud SQL connection. You need to enable more than 100 connections per Cloud Run instance. What should you do?

A. Upgrade to Cloud SQL Enterprise Plus edition.
B. Increase the queries per minute quota limit of the Cloud SQL Admin API.
C. Use Cloud SQL Auth Proxy in a sidecar.
D. Increase the max_connection flag in Cloud SQL for PostgresSQL.

正解：C

解説：
Using the Cloud SQL Auth Proxy in a sidecar allows each Cloud Run instance to multiplex and manage more than 100 concurrent connections to Cloud SQL, overcoming the default connection limit imposed by the built-in Cloud SQL connector.

質問 # 149
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 is configuring their access controls.
Which firewall configuration should they implement?

A. Allow all traffic into the network.
B. Block all traffic on port 443.
C. Allow all traffic on port 443 into the network.
D. Allow traffic on port 443 for a specific tag.

正解：D

質問 # 150
Your company has a BigQuery dataset named "Master" that keeps information about employee travel and expenses. This information is organized by employee department. That means employees should only be able to view information for their department. You want to apply a security framework to enforce this requirement with the minimum number of steps.
What should you do?

A. Create a separate dataset for each department. Create a view with an appropriate WHERE clause to select records from a particular dataset for the specific department. Authorize this view to access records from your Master dataset. Give employees the permission to this department-specific dataset.
B. Create a dataset named Master dataset. Create a separate view for each department in the Master dataset. Give employees access to the specific view for their department.
C. Create a dataset named Master dataset. Create a separate table for each department in the Master dataset. Give employees access to the specific table for their department.
D. Create a separate dataset for each department. Create a data pipeline for each department to copy appropriate information from the Master dataset to the specific dataset for the department. Give employees the permission to this department-specific dataset.

正解：D

質問 # 151
You are using Cloud Build build to promote a Docker image to Development, Test, and Production environments. You need to ensure that the same Docker image is deployed to each of these environments.
How should you identify the Docker image in your build?

A. Use the latest Docker image tag.
B. Use the digest of the Docker image.
C. Use a unique Docker image name.
D. Use a semantic version Docker image tag.

正解：D

解説：
Explanation/Reference:

質問 # 152
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Professional-Cloud-Developer試験に合格することは、特に良い仕事を探していて、Professional-Cloud-Developer認定資格を取得したい多くの人々にとって非常に重要であることがわかっています。認定資格を取得できれば、それは大いに役立つでしょう。たとえば、以前よりも会社でより多くの仕事とより良い肩書きを得るのに役立ち、Professional-Cloud-Developer認定資格はより高い給料を得るのに役立ちます。当社には、試験に合格し、Professional-Cloud-Developer試験トレントでProfessional-Cloud-Developer認定を取得するのに役立つ能力があると考えています。

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