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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 dat
a. 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 enable lifecycle management using a DELETE action 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 create a SetStorageClass to NONE action when 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.
Answer: B
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For this question, refer to the TerramEarth case study. TerramEarth has decided to store data files in
Cloud Storage. You need to configure Cloud Storage lifecycle rule to store 1 year of data and
minimize file storage cost.
Which two actions should you take?
A. Create a Cloud Storage lifecycle rule with Age: “30”, Storage Class: “Standard”, and Action: “Set
to Coldline”, and create a second GCS life-cycle rule with Age: “365”, Storage Class: “Coldline”, and
Action: “Delete”.
B. Create a Cloud Storage lifecycle rule with Age: “30”, Storage Class: “Coldline”, and Action: “Set to
Nearline”, and create a second GCS life-cycle rule with Age: “91”, Storage Class: “Coldline”, and
Action: “Set to Nearline”.
C. Create a Cloud Storage lifecycle rule with Age: “90”, Storage Class: “Standard”, and Action: “Set
to Nearline”, and create a second GCS life-cycle rule with Age: “91”, Storage Class: “Nearline”, and
Action: “Set to Coldline”.
D. Create a Cloud Storage lifecycle rule with Age: “30”, Storage Class: “Standard”, and Action: “Set
to Coldline”, and create a second GCS life-cycle rule with Age: “365”, Storage Class: “Nearline”, and
Action: “Delete”.
Answer: D
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For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to migrate from
their current analytics and statistics reporting model to one that meets their technical requirements on
Google Cloud Platform.
Which two steps should be part of their migration plan? (Choose two.)
A. Evaluate the impact of migrating their current batch ETL code to Cloud Dataflow.
B. Write a schema migration plan to denormalize data for better performance in BigQuery.
C. Draw an architecture diagram that shows how to move from a single MySQL database to a MySQL
cluster.
D. Load 10 TB of analytics data from a previous game into a Cloud SQL instance, and run test queries
against the full dataset to confirm that they complete successfully.
E. Integrate Cloud Armor to defend against possible SQL injection attacks in analytics files uploaded
to Cloud Storage.
Answer: AB
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For this question, refer to the Mountkirk Games case study. You need to analyze and define the
technical architecture for the compute workloads for your company, Mountkirk Games. Considering
the Mountkirk Games business and technical requirements, what should you do?
A. Create network load balancers. Use preemptible Compute Engine instances.
B. Create network load balancers. Use non-preemptible Compute Engine instances.
C. Create a global load balancer with managed instance groups and autoscaling policies. Use
preemptible Compute Engine instances.
D. Create a global load balancer with managed instance groups and autoscaling policies. Use nonpreemptible 
Compute Engine instances.
Answer: C
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