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DA0-001 · Question #164

Joe, an analyst, tests the loading time on a dashboard he is preparing to go live and finds it is slower than he would like. Which of the following must occur to decrease the loading time?

The correct answer is D. Optimize the dashboard.. Optimizing the dashboard is the process of improving its performance and reducing its loading time by applying various techniques and best practices. Some of the common ways to optimize a Reducing the size and complexity of the data model, such as removing unnecessary columns, ag

Visualization

Question

Joe, an analyst, tests the loading time on a dashboard he is preparing to go live and finds it is slower than he would like. Which of the following must occur to decrease the loading time?

Options

  • ADeploy the dashboard to production.
  • BChange the field definitions.
  • CUpdate the dashboard subscribers.
  • DOptimize the dashboard.

How the community answered

(66 responses)
  • A
    5% (3)
  • B
    3% (2)
  • C
    2% (1)
  • D
    91% (60)

Explanation

Optimizing the dashboard is the process of improving its performance and reducing its loading time by applying various techniques and best practices. Some of the common ways to optimize a Reducing the size and complexity of the data model, such as removing unnecessary columns, aggregating data at the source, or using data compression techniques. Leveraging caching strategies, such as setting appropriate cache refresh intervals or utilizing Power BI's built-in caching mechanisms, to minimize data retrieval delays. Utilizing query folding, direct query, or live connection to enhance data processing efficiency and enable real-time data updates. Optimizing DAX queries, such as avoiding nested calculations, using variables, or simplifying measures, to improve data calculation speed. Reducing visualizations and calculations, such as using fewer or simpler charts, filters, or parameters, to speed up dashboard rendering. Evaluating the impact of custom visuals on dashboard load time and avoiding or replacing those that are slow or inefficient. Applying aggregation and summarization techniques, such as using extract filters, context filters, or level of detail expressions, to reduce the amount of data displayed on the dashboard. Troubleshooting and resolving any issues that may cause slow dashboard load, such as network latency, server overload, or hardware limitations.

Topics

#Dashboard performance#Optimization#Data visualization#Performance tuning

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