Question: What business value can BigQuery provide?
- Customer 360 analysis and log analysis
- Availability, security, and preferred locations
- Machine learning APIs and Tensorflow
- Massively parallel databases and multiple data marts
Explanation
BigQuery is a fully managed serverless data warehouse designed for enterprise analytics at scale. Google Cloud manages infrastructure operations, which supports dependable analytics workloads without cluster administration. Access control can be managed through Identity and Access Management, helping protect datasets and query access. Dataset locations let organizations place data in supported regions or multi-regions to meet latency, governance, and residency needs.
Why the other options are incorrect
Customer 360 analysis and log analysis describes use cases for BigQuery, not its core business value.
Machine learning APIs and TensorFlow describes AI and ML tools, not BigQuery data warehouse value.
Massively parallel databases and multiple data marts describes legacy or fragmented data architecture, not the managed value of BigQuery.
Source for verification
https://cloud.google.com/bigquery/docs/introduction
https://cloud.google.com/bigquery/docs/locations
The answer(s) to the question is highlighted in the BOLD text above. You can also find more questions and answers related to the exams on the "Google Cloud Platform Business Professional" page.