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?

A. Load the data into BigQuery, and read the data from BigQuery.
B. Load the data into Cloud Bigtable, and read the data from Bigtable.
C. Convert the CSV files into shards of TFRecords, and store the data in Cloud Storage.
D. Convert the CSV files into shards of TFRecords, and store the data in the Hadoop Distributed File System (HDFS).

References

https://cloud.google.com/blog/products/ai-machine-learning/tensorflow-enterprise-makes-accessing-data-on-google-cloud-faster-and-easier
https://cloud.google.com/architecture/ml-on-gcp-best-practices#store-tabular-data-in-bigquery

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Question 45