You are working at a sports association whose members range in age from 8 to 30. The association collects a large amount of health data, such as sustained injuries. You are storing this data in BigQuery. Current legislation requires you to delete such information upon request of the subject. You want to design a solution that can accommodate such a request. What should you do?

• A.Use a unique identifier for each individual. Upon a deletion request, delete all rows from BigQuery with this identifier.
• B.When ingesting new data in BigQuery, run the data through the Data Loss Prevention (DLP) API to identify any personal information. As part of the DLP scan, save the result to Data Catalog. Upon a deletion request, query Data Catalog to find the column with personal information.
• C.Create a BigQuery view over the table that contains all dat
  a. Upon a deletion request, exclude the rows that affect the subject's data from this view. Use this view instead of the source table for all analysis tasks.
• D.Use a unique identifier for each individual. Upon a deletion request, overwrite the column with the unique identifier with a salted SHA256 of its value.

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The application reliability team at your company this added a debug feature to their backend service to send all server events to Google Cloud Storage for eventual analysis. The event records are at least 50 KB and at most
15 MB and are expected to peak at 3,000 events per second. You want to minimize data loss.
Which process should you implement?

• A.* Compress individual files
  * Name files with serverName - EventSequence
  * Save files to one bucket
  * Set custom metadata headers for each object after saving
• B.* Append metadata to file body
  * Compress individual files
  * Name files with serverName - Timestamp
  * Create a new bucket if bucket is older than 1 hour and save individual files to the new bucket. Otherwise, save files to existing bucket.
• C.* Batch every 10,000 events with a single manifest file for metadata
  * Compress event files and manifest file into a single archive file
  * Name files using serverName - EventSequence
  * Create a new bucket if bucket is older than 1 day and save the single archive file to the new bucket.
  Otherwise, save the single archive file to existing bucket.
• D.* Append metadata to file body
  * Compress individual files
  * Name files with a random prefix pattern
  * Save files to one bucket

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A lead software engineer tells you that his new application design uses websockets and HTTP sessions that are not distributed across the web servers. You want to help him ensure his application will run property on Google Cloud Platform. What should you do?

• A.Help the engineer to convert his websocket code to use HTTP streaming.
• B.Review the encryption requirements for websocket connections with the security team.
• C.Meet with the cloud operations team and the engineer to discuss load balancer options.
• D.Help the engineer redesign the application to use a distributed user session service that does not rely on websockets and HTTP sessions.

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Your company is migrating its on-premises data center into the cloud. As part of the migration, you want to integrate Kubernetes Engine for workload orchestration. Parts of your architecture must also be PCI DSS- compliant. Which of the following is most accurate?

• A.Kubernetes Engine and GCP provide the tools you need to build a PCI DSS-compliant environment.
• B.All Google Cloud services are usable because Google Cloud Platform is certified PCI-compliant.
• C.Kubernetes Engine cannot be used under PCI DSS because it is considered shared hosting.
• D.App Engine is the only compute platform on GCP that is certified for PCI DSS hosting.

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The operations manager asks you for a list of recommended practices that she should consider when migrating a J2EE application to the cloud. Which three practices should you recommend? Choose 3 answers

• A.Port the application code to run on Google App Engine.
• B.Integrate Cloud Dataflow into the application to capture real-time metrics.
• C.Instrument the application with a monitoring tool like Stackdriver Debugger.
• D.Select an automation framework to reliably provision the cloud infrastructure.
• E.Deploy a continuous integration tool with automated testing in a staging environment.
• F.Migrate from MySQL to a managed NoSQL database like Google Cloud Datastore or Bigtable.

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