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NEW QUESTION 21
You have containerized a legacy application that stores its configuration on an NFS share. You need to deploy this application to Google Kubernetes Engine (GKE) and do not want the application serving traffic until after the configuration has been retrieved. What should you do?
- A. Use the COPY statement in the Dockerfile to load the configuration into the container image. Verify that the configuration is available, and start the service using an ENTRYPOINT script.
- B. Create a PersistentVolumeClaim on the GKE cluster. Access the configuration files from the volume, and start the service using an ENTRYPOINT script.
- C. Add a startup script to the GKE instance group to mount the NFS share at node startup. Copy the configuration files into the container, and start the service using an ENTRYPOINT script.
- D. Use the gsutil utility to copy files from within the Docker container at startup, and start the service using an ENTRYPOINT script.
Answer: C
NEW QUESTION 22
You are load testing your server application. During the first 30 seconds, you observe that a previously inactive Cloud Storage bucket is now servicing 2000 write requests per second and 7500 read requests per second.
Your application is now receiving intermittent 5xx and 429 HTTP responses from the Cloud Storage JSON API as the demand escalates. You want to decrease the failed responses from the Cloud Storage API.
What should you do?
- A. Use the XML API instead of the JSON API for interfacing with Cloud Storage.
- B. Limit the upload rate from your application clients so that the dormant bucket’s peak request rate is
- C. Distribute the uploads across a large number of individual storage buckets.
- D. Pass the HTTP response codes back to clients that are invoking the uploads from your application.
Answer: C
Explanation:
reached more gradually.
NEW QUESTION 23
You are writing a single-page web application with a user-interface that communicates with a third-party API for content using XMLHttpRequest. The data displayed on the UI by the API results is less critical than other data displayed on the same web page, so it is acceptable for some requests to not have the API data displayed in the UI. However, calls made to the API should not delay rendering of other parts of the user interface. You want your application to perform well when the API response is an error or a timeout.
What should you do?
- A. Catch timeout or error exceptions from the API call and keep trying with exponential backoff until the API response is successful.
- B. Set the asynchronous option for your requests to the API to false and omit the widget displaying the API results when a timeout or error is encountered.
- C. Set the asynchronous option for your request to the API to true and omit the widget displaying the API results when a timeout or error is encountered.
- D. Catch timeout or error exceptions from the API call and display the error response in the UI widget.
Answer: B
NEW QUESTION 24
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