For this question, refer to the Dress4Win case study.
As part of Dress4Win's plans to migrate to the cloud, they want to be able to set up a managed logging and monitoring system so they can handle spikes in their traffic load.
They want to ensure that:
* The infrastructure can be notified when it needs to scale up and down to handle the ebb and flow of usage throughout the day
* Their administrators are notified automatically when their application reports errors.
* They can filter their aggregated logs down in order to debug one piece of the application across many hosts Which Google StackDriver features should they use?

• A.Monitoring, Logging, Debug, Error Report
• B.Monitoring, Trace, Debug, Logging
• C.Monitoring, Logging, Alerts, Error Reporting
• D.Logging, Alerts, Insights, Debug

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Your company has successfully migrated to the cloud and wants to analyze their data stream to optimize operations. They do not have any existing code for this analysis, so they are exploring all their options. These options include a mix of batch and stream processing, as they are running some hourly jobs and live-processing some data as it comes in. Which technology should they use for this?

• A.Google Cloud Dataproc
• B.Google Cloud Dataflow
• C.Google Container Engine with Bigtable
• D.Google Compute Engine with Google BigQuery

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You are designing an application for use only during business hours. For the minimum viable product release, you'd like to use a managed product that automatically "scales to zero" so you don't incur costs when there is no activity.
Which primary compute resource should you choose?

• A.Cloud Functions
• B.Compute Engine
• C.Kubernetes Engine
• D.AppEngine flexible environment

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You are using Cloud CDN to deliver static HTTP(S) website content hosted on a Compute Engine instance group. You want to improve the cache hit ratio.
What should you do?

• A.Customize the cache keys to omit the protocol from the key.
• B.Shorten the expiration time of the cached objects.
• C.Make sure the HTTP(S) header "Cache-Region" points to the closest region of your users.
• D.Replicate the static content in a Cloud Storage bucket. Point CloudCDN toward a load balancer on that bucket.

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For this question, refer to the TerramEarth case study. To be compliant with European GDPR regulation,
TerramEarth is required to delete data generated from its European customers after a period of 36 months
when it contains personal data. In the new architecture, this data will be stored in both Cloud Storage and
BigQuery. What should you do?

• A.Create a BigQuery table for the European data, and set the table retention period to 36 months. For
  Cloud Storage, use gsutil to create a SetStorageClass to NONE action when with an Age condition of
  36 months.
• B.Create a BigQuery table for the European data, and set the table retention period to 36 months. For
  Cloud Storage, use gsutil to enable lifecycle management using a DELETE action with an Age
  condition of 36 months.
• C.Create a BigQuery time-partitioned table for the European data, and set the partition expiration period
  to 36 months. For Cloud Storage, use gsutil to enable lifecycle management using a DELETE action
  with an Age condition of 36 months.
• D.Create a BigQuery time-partitioned table for the European data, and set the partition period to 36
  months. For Cloud Storage, use gsutil to create a SetStorageClass to NONE action with an Age
  condition of 36 months.

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I think C is correct because
For BigQuery: By creating a time-partitioned table, you can partition the data based on time intervals (e.g., daily, monthly) and set an expiration period for the partitions. This allows you to automatically delete data older than 36 months, ensuring compliance with GDPR regulations.
For Cloud Storage: By enabling lifecycle management using gsutil, you can define rules to automatically delete objects based on conditions such as their age. Setting an Age condition of 36 months ensures that objects containing personal data are deleted after the specified period, aligning with GDPR requirements.

Naresh Chopra  

Feb 19, 2024