- (Topic 5)
A news teed web service has the following code running on Google App Engine. During peak load, users report that they can see news articles they already viewed. What is the most likely cause of this problem?

1. A. The session variable is local to just a single instance.
2. B. The session variable is being overwritten in Cloud Datastore.
3. C. The URL of the API needs to be modified to prevent caching.
4. D. The HTTP Expires header needs to be set to -1 to stop caching.

Correct Answer: A
https://stackoverflow.com/questions/3164280/google-app-engine-cache-list-in-session-variable?rq=1

- (Topic 8)
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants you to design a way to test the analytics platform’s resilience to changes in mobile network latency. What should you do?

1. A. Deploy failure injection software to the game analytics platform that can inject additional latency to mobile client analytics traffic.
2. B. Build a test client that can be run from a mobile phone emulator on a Compute Enginevirtual machine, and run multiple copies in Google Cloud Platform regions all over the world to generate realistic traffic.
3. C. Add the ability to introduce a random amount of delay before beginning to process analytics files uploaded from mobile devices.
4. D. Create an opt-in beta of the game that runs on players' mobile devices and collects response times from analytics endpoints running in Google Cloud Platform regions all over the world.

Correct Answer: D

- (Topic 5)
You deploy your custom Java application to Google App Engine. It fails to deploy and gives you the following stack trace.

What should you do?

1. A. Upload missing JAR files and redeploy your application.
2. B. Digitally sign all of your JAR files and redeploy your application
3. C. Recompile the CLoakedServlet class using and MD5 hash instead of SHA1

Correct Answer: B

- (Topic 5)
You want to allow your operations learn to store togs from all the production protects in your Organization, without during logs from other projects All of the production projects are contained in a folder. You want to ensure that all logs for existing and new production projects are captured automatically. What should you do?

1. A. Create an aggregated export on the Production folde
2. B. Set the log sink to be a Cloud Storage bucket in an operations project
3. C. Create an aggregated export on the Organization resourc
4. D. Set the tog sink to be a Cloud Storage bucket in an operations project.
5. E. Create log exports in the production project
6. F. Set the log sinks to be a Cloud Storagebucket in an operations project.
7. G. Create tog exports in the production project
8. H. Set the tog sinks to be BigQuery datasets in the production projects and grant IAM access to the operations team to run queries on the datasets

Correct Answer: A
✑ An aggregated export is a type of sink that combines and routes log entries from the Google Cloud resources contained by an organization or folder1. By creating an aggregated export on the Production folder, you can capture all the logs from the existing and new production projects in that folder automatically1.
✑ A log sink is a destination for log entries that match a filter1. By setting the log sink to be a Cloud Storage bucket in an operations project, you can store the log
entries in Cloud Storage and allow your operations team to access them1.

- (Topic 5)
Your company has multiple on-premises systems that serve as sources for reporting. The data has not been maintained well and has become degraded over time. You want to use Google-recommended practices to detect anomalies in your company data. What should you do?

1. A. Upload your files into Cloud Storag
2. B. Use Cloud Datalab to explore and clean your data.
3. C. Upload your files into Cloud Storag
4. D. Use Cloud Dataprep to explore and clean your data.
5. E. Connect Cloud Datalab to your on-premises system
6. F. Use Cloud Datalab to explore and clean your data.
7. G. Connect Cloud Dataprep to your on-premises system
8. H. Use Cloud Dataprep to exploreand clean your data.

Correct Answer: B
https://cloud.google.com/dataprep/