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Professional Machine Learning Engineer

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Topic 1 Question 45
You are training a TensorFlow model on a structured dataset with 100 billion records stored in several CSV files. You need to improve the input/output execution performance. What should you do?
- Load the data into BigQuery, and read the data from BigQuery.
- Load the data into Cloud Bigtable, and read the data from Bigtable.
- Convert the CSV files into shards of TFRecords, and store the data in Cloud Storage.
- Convert the CSV files into shards of TFRecords, and store the data in the Hadoop Distributed File System (HDFS).
解説
Reference: https://cloud.google.com/dataflow/docs/guides/templates/provided-batch

ユーザの投票
コメント(17)
- C - not enough info in the question, but C is the "most correct" one
  
  👍 22
  ralf_cc2021/07/09
- Answer is C. TFRecords in cloud storage for big data is the recommended practice by Google for training TF models.
  
  👍 4
  David_ml2022/05/09
- 正解だと思う選択肢: A
  https://cloud.google.com/architecture/ml-on-gcp-best-practices#store-tabular-data-in-bigquery BigQuery for structured data, cloud storage for unstructed data
  
  👍 3
  behzadsw2023/01/06
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