After migrating several data warehouses to BigQuery and utilizing Cloud Storage for machine learning data, a manufacturer faces challenges as ML engineers and data analysts struggle to locate necessary datasets. The CTO seeks your advice on minimizing this workload. What would you recommend?

Real Exam

Utilize Cloud Fusion to monitor files uploaded to Cloud Storage and datasets loaded into BigQuery.

6.7%

Implement Cloud Logging to track files uploaded to Cloud Storage and datasets to BigQuery.

0.0%

Query the metadata catalog of BigQuery and Cloud Storage, then store the results in a BigQuery table for SQL queries by ML engineers and data analysts.

6.7%

Adopt Cloud Data Catalog to automatically extract metadata from Cloud Storage objects and BigQuery data.

86.7%

Google Professional Data Engineer

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After migrating several data warehouses to BigQuery and utilizing Cloud Storage for machine learning data, a manufacturer faces challenges as ML engineers and data analysts struggle to locate necessary datasets. The CTO seeks your advice on minimizing this workload. What would you recommend?