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NEW QUESTION 49
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. 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.
- B. Change the application to create signed URLs for Cloud Storage. Transfer these signed URLs to the client application to upload images to Cloud Storage.
- C. 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.
- D. Change the application to accept images directly and store them in the database that stores other user information.
Answer: B
Explanation:
Reference:
https://cloud.google.com/blog/products/storage-data-transfer/uploading-images-directly-to-cloud-storage-by-using-signed-url
NEW QUESTION 50
Your team is developing an ecommerce platform for your company. Users will log in to the website and add items to their shopping cart. Users will be automatically logged out after 30 minutes of inactivity. When users log back in, their shopping cart should be saved. How should you store users’ session and shopping cart information while following Google-recommended best practices?
- A. Store the shopping cart information in a file on Cloud Storage where the filename is the SESSION ID.
- B. Store the session and shopping cart information in a MySQL database running on multiple Compute Engine instances.
- C. Store the session information in Pub/Sub, and store the shopping cart information in Cloud SQL.
- D. Store the session information in Memorystore for Redis or Memorystore for Memcached, and store the shopping cart information in Firestore.
Answer: D
NEW QUESTION 51
You are a developer working with the CI/CD team to troubleshoot a new feature that your team introduced.
The CI/CD team used HashiCorp Packer to create a new Compute Engine image from your development branch. The image was successfully built, but is not booting up. You need to investigate the issue with the CI/CD team. What should you do?
- A. Create a new feature branch, and ask the build team to rebuild the image.
- B. Shut down the deployed virtual machine, export the disk, and then mount the disk locally to access the boot logs.
- C. Check Compute Engine OS logs using the serial port, and check the Cloud Logging logs to confirm access to the serial port.
- D. Install Packer locally, build the Compute Engine image locally, and then run it in your personal Google Cloud project.
Answer: C
Explanation:
Explanation
https://cloud.google.com/compute/docs/troubleshooting/troubleshooting-using-serial-console
NEW QUESTION 52
Your API backend is running on multiple cloud providers. You want to generate reports for the network latency of your API.
Which two steps should you take? (Choose two.)
- A. Use Zipkin collector to gather data.
- B. Use Stackdriver Trace to generate reports.
- C. Use Stackdriver Debugger to generate report.
- D. Use Fluentd agent to gather data.
- E. Use Stackdriver Profiler to generate report.
Answer: A,B
Explanation:
https://cloud.google.com/trace/docs/zipkin
“receive traces from Zipkin clients and forward those traces to Cloud Trace for analysis.”
https://cloud.google.com/trace/docs/quickstart#analysis_reports_window
NEW QUESTION 53
You are using Cloud Build to build a Docker image. You need to modify the build to execute unit and run integration tests. When there is a failure, you want the build history to clearly display the stage at which the build failed.
What should you do?
- A. Create a Cloud Build build config file with separate cloud builder steps to compile and execute unit and integration tests.
- B. Create a Cloud Build build config file with a single build step to compile unit and integration tests.
- C. Create a Cloud Build build config file that will spawn a separate cloud build pipeline for unit and integration tests.
- D. Add RUN commands in the Dockerfile to execute unit and integration tests.
Answer: A
NEW QUESTION 54
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