10 Steps to Optimize Your Data Model in Power BI
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10 questions
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- Q1What is the recommended schema for better performance in Power BI data models?Snowflake schemaFlat schemaHierarchical schemaStar schema40s
- Q2Why is it important to use Power Query for data cleaning and transformation before loading data into Power BI?To increase the data load timeTo create more complex calculationsTo reduce the need for data relationshipsTo ensure data is clean and optimized for analysis40s
- Q3How can you avoid complex calculations in your Power BI data model?Use complex DAX functionsIncrease data load frequencyUse more tablesUse calculated columns and measures wisely40s
- Q4Which practice can help maintain proper relationships between tables in Power BI?Adding more foreign keysAvoiding primary keysUsing random keysEnsuring keys and referential integrity40s
- Q5What should you do to optimize the performance of your Power BI model?Add more calculated columnsUse complex and detailed visualsReduce the number of visuals and simplify themIncrease the number of visuals40s
- Q6Why is it beneficial to utilize aggregations and summarizations in Power BI?To decrease data accuracyTo avoid using relationshipsTo handle large datasets efficientlyTo increase data redundancy40s
- Q7What is a key step to take regularly to maintain an optimized Power BI data model?Decrease the number of calculated columnsIncrease the number of relationshipsAdd more fields and tablesReview and clean up unused fields, tables, and relationships40s
- Q8How should you handle DAX functions for creating measures in Power BI?Use DAX functions for all calculationsUse them effectively to create optimized measuresAvoid using DAX functionsIgnore performance considerations40s
- Q9What is one of the initial steps to take when simplifying your Power BI data model?Focus on essential tables and fields onlyAdd as many tables and fields as possibleUse complex and detailed tablesAvoid using primary keys40s
- Q10What continuous action should be taken to ensure the performance of a Power BI model is optimized?Monitor performance and make adjustments as necessaryAdd more data regularlyIncrease the number of visualsAvoid reviewing performance metrics40s