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NEW QUESTION 54
Your client is building a custom machine learning pipeline to identify lesions in the lungs based on x-rays. Different teams of data scientists are sharing common source data and building many ver-sions of ML models. Which of these Cloud Storage options would be best for them?

  • A. Retain the data in use in a multi-region bucket.
  • B. Retain the data in use in a dual-region bucket.
  • C. Retain the data in use in a single region bucket with nearline storage. Retain the data in use in a dual-region bucket.
  • D. Retain the data in use in a single region bucket with standard storage.

Answer: D

Explanation:
Integrated repository for analytics and ML: The highest level of availability and performance within a single region is ideal for compute, analytics, and machine learning workloads in a particular region. Cloud Storage is also strongly consistent, giving you confidence and accuracy in analytics workloads.
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https://cloud.google.com/storage/docs/storage-classes

 

NEW QUESTION 55
Your team is publishing research results and needs to make large amounts of data available to other researchers within the professional community and the public at minimum cost.
How should you host the data?

  • A. Use a Cloud Storage bucket and enable "Requester Pays.'
  • B. Host the data on-premises. and set up a Cloud Interconnect connection to allow access to the data.
  • C. Use a Cloud Storage bucket and provide Signed URLs for the data files.
  • D. Use a Cloud Storage bucket and set up a Cloud Interconnect connection to allow access to the data.

Answer: B

 

NEW QUESTION 56
The customer has applications that do data processing on-premise. They have been built using Ha-doop and Spark. What product should I use on Google Cloud?

  • A. Dataproc
  • B. Dataplex
  • C. Dataflow
  • D. Dataprep

Answer: A

Explanation:
Because Dataproc is used to run Hadoop/Spark workloads

 

NEW QUESTION 57
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