You are building a batch data pipeline to process 100 GB of structured data from...

Google Associate-Data-Practitioner Question Answer

You are building a batch data pipeline to process 100 GB of structured data from multiple sources for daily reporting. You need to transform and standardize the data prior to loading the data to ensure that it is stored in a single dataset. You want to use a low-code solution that can be easily built and managed. What should you do?

Use Cloud Data Fusion to ingest data and load the data into BigQuery. Use Looker Studio to perform data cleaning and transformation.

Use Cloud Data Fusion to ingest the data, perform data cleaning and transformation, and load the data into BigQuery.

Use Cloud Data Fusion to ingest the data, perform data cleaning and transformation, and load the data into Cloud SQL for PostgreSQL.

Use Cloud Storage to store the data. Use Cloud Run functions to perform data cleaning and transformation, and load the data into BigQuery.

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You are building a batch data pipeline to process 100 GB of structured data from...

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