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10+ Accenture Power BI Developer Interview Questions and Answers

Updated 8 Mar 2025

Q1. Connection modes in Power BI and how they work

Ans.

Power BI has three connection modes: Import, DirectQuery, and Live Connection.

  • Import mode imports data into Power BI and creates a dataset.

  • DirectQuery mode connects to the data source and queries data in real-time.

  • Live Connection mode connects to a published dataset in Power BI Service.

  • Import mode is best for small to medium-sized datasets, while DirectQuery and Live Connection are better for large datasets.

  • DirectQuery and Live Connection require a live connection to the data...read more

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Q2. Difference between row contex and example of dax function which allows row context.

Ans.

Row context refers to the current row in a table during DAX calculations, allowing for row-specific evaluations.

  • Row context is established when a DAX formula is evaluated for each row in a table.

  • An example of a DAX function that allows row context is 'SUMX', which iterates over a table and evaluates an expression for each row.

  • In 'SUMX(Table, Expression)', 'Table' provides the row context for 'Expression'.

  • Another example is 'FILTER', which can create a row context when applied...read more

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Q3. Different types of gateways?? When why and how we use ??

Ans.

There are three types of gateways in Power BI: On-premises data gateway, Personal gateway, and Power BI Gateway (Enterprise). Each serves a different purpose.

  • On-premises data gateway is used to connect on-premises data sources to Power BI service.

  • Personal gateway is used for individuals to refresh data from on-premises data sources.

  • Power BI Gateway (Enterprise) is used for organizations to manage data refresh for cloud and on-premises data sources.

  • Gateways are used to securel...read more

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Q4. Role playing dimension and why do we use star schema.

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Q5. What type of time intelligence function you have used

Ans.

I have used DAX time intelligence functions like TOTALYTD, SAMEPERIODLASTYEAR, etc.

  • TOTALYTD function calculates the year-to-date total for a given expression

  • SAMEPERIODLASTYEAR function returns the value of the same period in the previous year

  • DATESYTD function returns a set of dates year-to-date based on the current context

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Q6. How do you apply RLS in your report?

Ans.

RLS in Power BI restricts data access based on user roles, ensuring users see only relevant data.

  • Define roles in Power BI Desktop using DAX filters to restrict data visibility.

  • Example: Create a role 'Sales' with a filter like [Region] = USERNAME() to show data only for the user's region.

  • Publish the report to Power BI Service and assign users to the defined roles.

  • Test the roles in Power BI Desktop using the 'View as Role' feature to ensure correct data visibility.

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Q7. Row level security in Power BI

Ans.

Row level security in Power BI allows restricting data access based on user roles and filters.

  • Row level security can be implemented using roles and filters in Power BI.

  • Roles can be created and assigned to users or groups to restrict access to specific data.

  • Filters can be applied to tables or columns to limit data visibility based on user roles.

  • Row level security can be tested using the View As Roles feature in Power BI Desktop.

  • Row level security can also be implemented using ...read more

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Q8. Difference between calculated column and measure

Ans.

Calculated columns are static values calculated at the row level, while measures are dynamic values calculated at the aggregate level.

  • Calculated columns are stored in the data model and can be used in visuals directly.

  • Measures are calculated on the fly based on the context of the visualization or report.

  • Calculated columns are useful for creating new columns based on existing data, while measures are used for aggregations like sum, average, etc.

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Q9. Cardinality in power bi

Ans.

Cardinality in Power BI refers to the uniqueness of values in a column or relationship.

  • Cardinality can be one-to-one, one-to-many, or many-to-many.

  • It helps determine how data should be modeled and relationships should be established.

  • For example, a one-to-many cardinality means one value in one table can be related to multiple values in another table.

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Q10. write SQL query

Ans.

SQL query to retrieve data from a table

  • Use SELECT statement to specify columns to retrieve

  • Use FROM statement to specify the table to retrieve data from

  • Use WHERE statement to filter the data based on conditions

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Q11. wat is cardinality

Ans.

Cardinality refers to the uniqueness of values in a column or relationship.

  • Cardinality is the number of unique values in a column or relationship.

  • High cardinality means a column has many unique values, while low cardinality means few unique values.

  • For example, a column like 'Customer ID' may have high cardinality, while 'Gender' may have low cardinality.

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Interview Process at Accenture Power BI Developer

based on 13 interviews
2 Interview rounds
Technical Round - 1
Technical Round - 2
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