2.2 Configuring Individual Storage Systems PROFESSIONAL-CLOUD-ARCHITECT Practice Questions (Page 5)

Questions 21–25

1. 21expert · hard

   A company is required by law to retain customer communication logs for 5 years. After 5 years, the logs must be permanently deleted. They also have a policy that logs older than 1 year should be moved to a cheaper storage class. They store these logs in Cloud Storage. Which configuration should they implement?

   • ASet a bucket retention policy for 5 years and use a separate Cloud Function to move objects to Coldline after 1 year.
   • BUse Object Lifecycle Management rules to transition objects to Coldline storage after 1 year and delete them after 5 years.
   • CUse a Cloud Scheduler job to run a script that checks the age of objects and moves or deletes them accordingly.
   • DCreate a new bucket each year and manually move logs to the new bucket after 1 year, then delete the oldest bucket after 5 years.
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2. 22application · medium

   A company's data in Cloud Storage is growing at 20% per month. They currently use a single regional bucket and are concerned about cost and performance as the data grows. They want to plan for scalability while keeping costs predictable. Which strategy is most appropriate?

   • AMove all data to a single multi-regional bucket to improve availability and performance.
   • BCreate multiple buckets and manually distribute new data across them.
   • CUse Object Lifecycle Management to transition older data to colder storage classes and set up budget alerts to monitor costs.
   • DSet up a Cloud Function to compress all new objects before storing them.
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4. 23foundation · easy

   A Compute Engine VM needs to access a Cloud Storage bucket. What is required to allow the VM to read objects in the bucket?

   • AGrant the VM's service account the appropriate IAM role on the bucket
   • BAttach a persistent disk to the VM and mount it
   • CCreate a VPC peering connection between the VM and the bucket
   • DEnable the Cloud Storage API on the VM
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5. 24application · medium

   A financial analytics firm runs a daily batch job that reads 2 TB of historical market data from Cloud Storage, performs in-memory computations on a single large Compute Engine VM, and writes 50 GB of results back. The job is latency-sensitive and must complete within a fixed nightly window. The current setup uses standard Cloud Storage buckets, and the job often exceeds its window due to read throughput. Which change will most directly reduce the job's completion time?

   • AMove the input data to a zonal SSD persistent disk attached to the VM and read from the local filesystem.
   • BEnable parallel composite uploads on the Cloud Storage bucket for the output data.
   • CIncrease the VM's machine type to one with more vCPUs and memory.
   • DCreate a new bucket in the same region and use gsutil rsync to copy the data nightly.
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6. 25expert · hard

   A company runs a high-performance computing (HPC) workload on a GKE cluster. The workload requires very high IOPS and low latency for temporary data that is only needed during the job. The job is not critical and can be restarted if a node fails. The company wants to minimize cost. Which storage solution is most appropriate?

   • AUse a regional persistent disk and mount it as a ReadWriteMany volume.
   • BUse a zonal persistent disk with a larger size to get more IOPS.
   • CUse local SSDs on the GKE nodes and configure the workload to use emptyDir volumes with the 'medium: LocalSSD' setting.
   • DUse a Cloud Storage FUSE volume for temporary data.
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