Your company has thousands of archived product photos and customer-support emails that have never been analyzed. After moving these files to Google Cloud, which capability best enables the organization to turn this previously untapped unstructured content into searchable business insights without provisioning or managing servers?
Launching Compute Engine virtual machines to run custom scripts that parse every image and email in Cloud Storage
Using managed AI APIs such as Vision and Natural Language to auto-generate metadata from files in Cloud Storage and make it queryable in BigQuery
Importing the objects into BigQuery, which only accepts fully structured CSV or Avro files, so the unstructured data remains unused
Loading the files into Cloud Spanner, which automatically converts binary objects into relational rows suitable for SQL queries
Google Cloud's pre-trained AI services, such as Vision API for images and Natural Language API for text, can scan objects stored in Cloud Storage, automatically extract descriptive labels, entities, and sentiment, and write the results to structured stores like BigQuery. This transforms unstructured files into queryable metadata that business users can analyze with familiar SQL, unlocking value from data that was formerly difficult to use. Relying on managed APIs eliminates the need to run or maintain custom parsing infrastructure. The other options are incorrect because they either still require users to manage virtual machines and custom code, misstate BigQuery's support for diverse data sources, or describe functionality that Cloud Spanner does not provide.
Ask Bash
Bash is our AI bot, trained to help you pass your exam. AI Generated Content may display inaccurate information, always double-check anything important.
How does the Vision API extract metadata from images?
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What type of text analysis does the Natural Language API perform?
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How does BigQuery make metadata queryable with SQL?
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What are AI APIs like Vision and Natural Language used for?
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How does BigQuery make unstructured data queryable after using these APIs?
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Why not use Compute Engine or Cloud Spanner to analyze the data?
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Exploring Data Transformation with Google Cloud
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