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Power BI Interview Questions 2026

Top Power BI interview questions asked in data analyst interviews in Noida and Delhi NCR

These are the most frequently asked Power BI interview questions at IT services companies, analytics firms, BFSI companies, and e-commerce companies in Noida and Delhi NCR. Covering them means you are prepared for 90% of Power BI interview scenarios at the fresher and mid-level. The questions are grouped by difficulty: basic (fresher level), intermediate (1–3 years), and advanced (3+ years). Most fresher interviews test basic and some intermediate questions.
Power BI Interview Topics by Experience Level
Noida & Delhi NCR companies — 2026
Fresher (0–1 yr)
Measure vs Calculated ColumnStar SchemaWhat is DAX?Power Query useDesktop vs ServiceCOUNTROWS vs COUNT
Mid (1–3 yrs)
CALCULATE deep diveDynamic RLSDirectQuery vs ImportSUMX use casesTime IntelligencePerformance Analyzer
Senior (3+ yrs)
Enterprise data model designGateway setupIncremental refreshComposite modelsDeployment pipelinesALM Toolkit
💡 Tip: Always bring a portfolio dashboard to interviews — interviewers at IT services companies in Noida respond well to live demos

Examples

Fresher-level questions (must know)
Q1: What is the difference between a measure and a calculated column?
A: Measure = evaluated dynamically on demand, responds to filters.
   Calculated column = computed row-by-row when data loads, stored.
   Use measures for aggregations, columns only when row-level values are needed.

Q2: What is DAX? Name 5 DAX functions.
A: Data Analysis Expressions — the formula language of Power BI.
   SUM, CALCULATE, COUNTROWS, DIVIDE, SAMEPERIODLASTYEAR

Q3: What is the difference between COUNTROWS and COUNT?
A: COUNTROWS counts all rows in a table including blanks.
   COUNT counts non-blank values in a numeric column.

Q4: What is a star schema?
A: A data model design with a central fact table (transactions)
   surrounded by dimension tables (products, customers, dates).
   Fact table has numeric measures + FK columns.
   Dimension tables have descriptive attributes.

Q5: What is Power Query used for?
A: Data transformation before loading — cleaning, reshaping,
   filtering, changing data types. Applied Steps record each step.

Q6: What is the difference between Power BI Desktop and Service?
A: Desktop = Windows app for building reports (free).
   Service = cloud platform for publishing, sharing, scheduling refresh.
Intermediate questions (1–3 years experience)
Q7: How does CALCULATE modify filter context?
A: CALCULATE evaluates the first argument (expression) then
   applies additional filter arguments that add to or replace
   the existing filter context. ALL() removes filters.
   Example: CALCULATE(SUM([Sales]), Region = "Delhi")
   → evaluates SUM of Sales with Region filtered to Delhi only.

Q8: What is Row-Level Security? How do you implement dynamic RLS?
A: RLS restricts data rows visible to specific users.
   Static: hardcoded filter in a role [Region] = "Delhi"
   Dynamic: mapping table + USERPRINCIPALNAME() to filter
   based on the logged-in user's email.

Q9: When would you use DirectQuery vs Import mode?
A: Import: faster, full DAX support, needs refresh schedule.
       Use for most reports, up to ~10M rows comfortably.
   DirectQuery: live data, no size limit, but slower and
       limited DAX support. Use for huge datasets or real-time needs.

Q10: What is SUMX and when do you use it instead of SUM?
A: SUMX iterates a table row by row and evaluates an expression
   per row before summing. Use when your calculation involves
   multiplying two columns before summing:
   Revenue = SUMX(Sales, Sales[Qty] * Sales[Price])

Key Points

  • ✓Most Noida IT services interviews test Q1–Q6 for fresher Power BI roles
  • ✓Product companies and analytics firms go to Q7–Q10 and beyond
  • ✓Always prepare a Power BI dashboard to show during interviews — actions speak louder
  • ✓Common practical task: "build a sales dashboard in 30 minutes with this Excel file"
  • ✓Know the difference between: Table vs Matrix, Slicer vs Filter pane, Publish vs Embed

FAQ

Q: Is Power BI asked in data analyst interviews at HCL, Wipro, Genpact?
A: Yes — IT services companies in Noida ask Power BI in practically every data analyst interview. At the fresher level, they test basic DAX (measures, calculated columns), star schema understanding, and ability to build a simple dashboard. At the 1–3 year level, they go deeper on CALCULATE, RLS, and data model optimisation.
Q: How should I prepare a Power BI project for my resume?
A: Build a complete sales or HR analytics dashboard: import real data (Kaggle has free datasets), set up a star schema with at least 3 tables, write 5–6 DAX measures (total, YoY growth, % of total), add slicers, use conditional formatting, and publish to Power BI Service. Share the dashboard link in your resume.