Turning a question from the business into an analysis that settles it
Analyzing data to answer business questions on Google Cloud typically involves querying data in BigQuery using SQL, then visualizing or exploring results with tools like Looker Studio or Looker. The Associate Data Practitioner exam focuses on choosing the right query techniques, aggregation functions, and joins to derive business insights, as well as picking appropriate visualization tools for presenting findings.
1 · Learn the must-know
- BigQuery supports standard SQL with aggregate functions (SUM, AVG, COUNT, MIN, MAX), GROUP BY, and window functions to answer business questions like trends, totals, and rankings.
- BigQuery's built-in query results can be directly explored using 'Explore in Looker Studio' or 'Explore with Sheets' for quick ad hoc analysis without writing additional code.
- Looker Studio connects natively to BigQuery, Google Sheets, and Cloud SQL, enabling drag-and-drop dashboards and reports without needing deep SQL knowledge.
- BigQuery ML allows practitioners to run basic predictive analysis (e.g., forecasting, classification) directly with SQL syntax, avoiding the need to export data to a separate ML platform.
- Materialized views and scheduled queries in BigQuery help automate recurring business reporting needs by pre-computing and refreshing summary data.
- When presenting data, choosing the right visualization (e.g., time series for trends, bar charts for comparisons) is as important as the underlying query logic for effectively communicating insights to business stakeholders.
2 · Check your understanding
A data analyst has a BigQuery table named sales_summary with one row per category per month, containing columns category, month, and monthly_revenue. The analyst needs a result set with exactly one row per category showing the month with the highest monthly_revenue over the past 12 months. Which SQL approach correctly achieves this?
What you have tried across GCP ADP's objectives, not a readiness score.
Data Preparation and Ingestion~30% of the exam0 of 8 tried
Data Analysis and Presentation~27% of the exam0 of 12 tried
Data Pipeline Orchestration~18% of the exam0 of 9 tried
Data Management~25% of the exam0 of 12 tried
3 · Keep going
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