A company using Tableau Cloud experiences intermittent performance issues, particularly during peak usage times. What should be the first step in troubleshooting these issues?
A. Increasing the number of Tableau Cloud instances without analyzing usage patterns
B. Analyzing user access patterns and resource utilization to identify bottlenecks
C. Immediately upgrading the company's internet connection
D. Reducing the number of dashboards available to users to decrease load
B. Analyzing user access patterns and resource utilization to identify bottlenecks
Explanation:
Why B is Correct?
Intermittent performance issues during peak times typically stem from resource bottlenecks (e.g., high concurrent users, inefficient queries, or large extracts).
Usage analysis helps pinpoint:
Peak traffic times (e.g., 9 AM–11 AM).
Resource-heavy dashboards (via Tableau Cloud’s Admin Insights or Usage Metrics).
Query latency from underlying data sources.
Tableau’s Performance Troubleshooting Guide recommends this as the first step.
Why Other Options Are Premature?
A. Adding instances blindly: Overprovisioning is costly and unnecessary if the issue is a single inefficient dashboard.
C. Upgrading internet: Rarely the cause—Tableau Cloud runs on AWS/Azure, and client-side internet speed affects only individual users.
D. Reducing dashboards: A last resort—optimization should come before removal.
Steps to Diagnose Performance Issues:
Review Admin Insights in Tableau Cloud:
Check "Content Performance" and "User Activity" tabs.
Identify slow dashboards:
Look for high-load workbooks (e.g., complex calculations, large extracts).
Optimize or schedule refreshes during off-peak hours.
Reference:
Tableau’s Admin Insights Documentation.
Final Note:
Start with B—data-driven decisions beat guesswork (A/C/D). If analysis reveals infrastructure limits, then consider scaling (A)