Professional-Cloud-Developer全真模擬試験、Professional-Cloud-Developer試験対応

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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Topic 1: Designing cloud-native applications	- Application architecture design - Scalability and resiliency patterns - Microservices design principles
Topic 2: Deploying applications	- CI/CD pipelines - Containerization and deployment (Cloud Run, GKE) - Release management strategies
Topic 3: Ensuring application performance and reliability	- Fault tolerance and incident response - Performance optimization - Monitoring and logging (Cloud Monitoring, Cloud Logging)
Topic 4: Integrating Google Cloud services	- API integration and service-to-service communication - Using managed services (Pub/Sub, Firestore, Cloud SQL)
Topic 5: Building and testing applications	- Debugging and troubleshooting applications - Unit and integration testing strategies - Application development on Google Cloud

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Google Certified Professional - Cloud Developer 認定 Professional-Cloud-Developer 試験問題 (Q94-Q99):

質問 # 94
Your code is running on Cloud Functions in projectA . It is supposed to write an object in a Cloud Storage bucket owned by project B.
However, the write call is failing with the error "403 Forbidden".
What should you do to correct the problem?

A. Enable the Cloud Storage API in project B.
B. Grant your user account the roles/storage.objectCreator role for the Cloud Storage bucket.
C. Grant the service-PROJECTA@gcf-admin-robot.iam.gserviceaccount.com service account the roles/ storage.objectCreator role for the Cloud Storage bucket.
D. Grant your user account the roles/iam.serviceAccountUser role for the service-PROJECTA@gcf-adminrobot.
iam.gserviceaccount.com service account.

正解：D

質問 # 95
You deployed a new application to Google Kubernetes Engine and are experiencing some performance degradation. Your logs are being written to Cloud Logging, and you are using a Prometheus sidecar model for capturing metrics. You need to correlate the metrics and data from the logs to troubleshoot the performance issue and send real-time alerts while minimizing costs. What should you do?

A. Export the Cloud Logging logs and the Prometheus metrics to Cloud Bigtable. Run a query to join the results, and analyze in Google Data Studio.
B. Export the Prometheus metrics and use Cloud Monitoring to view them as external metrics. Configure Cloud Monitoring to create log-based metrics from the logs, and correlate them with the Prometheus data.
C. Export the Cloud Logging logs and stream the Prometheus metrics to BigQuery. Run a recurring query to join the results, and send notifications using Cloud Tasks.
D. Create custom metrics from the Cloud Logging logs, and use Prometheus to import the results using the Cloud Monitoring REST API.

正解：B

質問 # 96
Users are complaining that your Cloud Run-hosted website responds too slowly during traffic spikes. You want to provide a better user experience during traffic peaks. What should you do?

A. Package application configuration and static data into the application image during build time.
B. Perform as much work as possible in the background after the response has been returned to the user.
C. Ensure that timeout exceptions and errors cause the Cloud Run instance to exit quickly so a replacement instance can be started.
D. Read application configuration and static data from the database on application startup.

正解：B

質問 # 97
You are building an application that uses a distributed microservices architecture. You want to measure the performance and system resource utilization in one of the microservices written in Java. What should you do?

A. Instrument the service with Debugger to investigate service errors.
B. Instrument the service with OpenCensus to measure service latency, and write custom metrics to Cloud Monitoring.
C. Instrument the service with Cloud Trace to measure request latency.
D. Instrument the service with Cloud Profiler to measure CPU utilization and method-level execution times in the service.

正解：D

解説：
https://cloud.google.com/profiler/docs/profiling-java
https://cloud.google.com/appengine/docs/legacy/standard/java/microservice-performance

質問 # 98
Laura is performing a visual inspection of an embedded battery. What kinds of cosmetic issues should she look for? (Choose two.)

A. Apple logo
B. Scratches
C. QR Code
D. IATA complice label
E. UPC Code
F. Dents or dot imprints
G. Apple product serial number

正解：B、F

解説：
Explanation/Reference: https://docplayer.net/50514766-Embedded-battery-safety.html

質問 # 99
......

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