๐ŸŽ ์ง€๊ธˆ ๊ฐ€์ž…ํ•˜๋ฉด ์˜จ๋ผ์ธ AI๋ฅผ ์ตœ๋Œ€ 30๋ถ„ ๋ฌด๋ฃŒ๋กœ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์‹ ์šฉ์นด๋“œ๋Š” ํ•„์š”ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.

Power BI ๋ฉด์ ‘ ์งˆ๋ฌธ 25๊ฐœ์™€ ๋‹ต๋ณ€ ๊ฐ€์ด๋“œ

August 25, 2026
๋ฐ์ดํ„ฐ ๋ชจ๋ธ๋ง, DAX, Power Query, ๋ณด์•ˆ, ์„ฑ๋Šฅ, ๋ฐฐํฌ์— ๊ด€ํ•œ Power BI ์งˆ๋ฌธ์„ ์ค€๋น„ํ•˜์„ธ์š”.
์ด ํ•ญ๋ชฉ์—์„œ๋Š” Power BI ๋ฉด์ ‘ ์งˆ๋ฌธ preparation board์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.
Power BI ๋ฉด์ ‘ ์งˆ๋ฌธ
interview preparation
YesToTheOffer

ํ•ต์‹ฌ ์š”์•ฝ: ๋ฐ์ดํ„ฐ ๋ชจ๋ธ๋ง, DAX, Power Query, ๋ณด์•ˆ, ์„ฑ๋Šฅ, ๋ฐฐํฌ์— ๊ด€ํ•œ Power BI ์งˆ๋ฌธ์„ ์ค€๋น„ํ•˜์„ธ์š”. ์ฑ„์šฉ ๊ณต๊ณ ์—์„œ ์‹œ์ž‘ํ•ด ๋ฉด์ ‘๊ด€์ด ์›ํ•˜๋Š” ๊ทผ๊ฑฐ๋ฅผ ํŒŒ์•…ํ•˜๊ณ , ์„ธ๋ถ€ ๋‚ด์šฉ์„ ๋”ํ•˜๊ธฐ ์ „์— ์ง์ ‘์ ์ธ ๋‹ต์„ ์—ฐ์Šตํ•˜์„ธ์š”. ์ข‹์€ ์ค€๋น„๋Š” ๊ฐ ์งˆ๋ฌธ์ด ํ‰๊ฐ€ํ•˜๋Š” ํŒ๋‹จ์„ ์ž์‹ ์˜ ์‚ฌ์‹ค์ ์ธ ์‚ฌ๋ก€์™€ ์—ฐ๊ฒฐํ•ฉ๋‹ˆ๋‹ค.

Power BI ๋ฉด์ ‘ ์งˆ๋ฌธ 25๊ฐœ์™€ ๋‹ต๋ณ€ ๊ฐ€์ด๋“œ

๋ฐ์ดํ„ฐ ๋ชจ๋ธ๋ง, DAX, Power Query, ๋ณด์•ˆ, ์„ฑ๋Šฅ, ๋ฐฐํฌ์— ๊ด€ํ•œ Power BI ์งˆ๋ฌธ์„ ์ค€๋น„ํ•˜์„ธ์š”.

YesToTheOffer ์‚ฌ์šฉํ•ด ๋ณด๊ธฐ

์ง์ ‘์ ์ธ ๋‹ต์€ ๋ฌด์—‡์ธ๊ฐ€์š”?

์ด ํ•ญ๋ชฉ์—์„œ๋Š” Power BI ๋ฉด์ ‘ ์งˆ๋ฌธ preparation board์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.

๋ฐ์ดํ„ฐ ๋ชจ๋ธ๋ง, DAX, Power Query, ๋ณด์•ˆ, ์„ฑ๋Šฅ, ๋ฐฐํฌ์— ๊ด€ํ•œ Power BI ์งˆ๋ฌธ์„ ์ค€๋น„ํ•˜์„ธ์š”. ์ฑ„์šฉ ๊ณต๊ณ ์—์„œ ์‹œ์ž‘ํ•ด ๋ฉด์ ‘๊ด€์ด ์›ํ•˜๋Š” ๊ทผ๊ฑฐ๋ฅผ ํŒŒ์•…ํ•˜๊ณ , ์„ธ๋ถ€ ๋‚ด์šฉ์„ ๋”ํ•˜๊ธฐ ์ „์— ์ง์ ‘์ ์ธ ๋‹ต์„ ์—ฐ์Šตํ•˜์„ธ์š”. ์ข‹์€ ์ค€๋น„๋Š” ๊ฐ ์งˆ๋ฌธ์ด ํ‰๊ฐ€ํ•˜๋Š” ํŒ๋‹จ์„ ์ž์‹ ์˜ ์‚ฌ์‹ค์ ์ธ ์‚ฌ๋ก€์™€ ์—ฐ๊ฒฐํ•ฉ๋‹ˆ๋‹ค.

์ด ํ•ญ๋ชฉ์—์„œ๋Š” semantic model and star schema์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” relationships and filter direction์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” measures versus calculated columns์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.

๋ฌด์—‡์„ ์ค€๋น„ํ•ด์•ผ ํ•˜๋‚˜์š”?

๊ฒฐ๋ก , ๋ฐฐ๊ฒฝ, ์‚ฌ๊ณ  ๊ณผ์ •, ๊ฒฐ๊ณผ ๋˜๋Š” ๋‹ค์Œ ๋‹จ๊ณ„์˜ ์ˆœ์„œ๋กœ ๋‹ตํ•˜์„ธ์š”. ์งง์€ ๋ฒ„์ „๊ณผ ์ž์„ธํ•œ ๋ฒ„์ „์„ ๋ชจ๋‘ ์—ฐ์Šตํ•˜๋ฉด ์ถ”๊ฐ€ ์งˆ๋ฌธ์—๋„ ์ž์—ฐ์Šค๋Ÿฝ๊ฒŒ ๋Œ€์‘ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

  1. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” semantic model and star schema์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.
  2. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” relationships and filter direction์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.
  3. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” measures versus calculated columns์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.
  4. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” row and filter context in DAX์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.
  5. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” CALCULATE and context transition์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.
  6. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” Power Query query folding์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.
  7. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” Import, DirectQuery, and composite models์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.
  8. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” incremental refresh์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.
  9. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” row-level security์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.
  10. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” workspace roles and deployment pipelines์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.
  11. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” performance diagnosis with Performance Analyzer์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.
  12. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” gateway and refresh failures์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.
  13. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” date tables and time intelligence์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.
  14. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” many-to-many relationships์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.
  15. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” drill-through and tooltips์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.
  16. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” accessibility and mobile layout์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.
  17. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” data quality validation์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.
  18. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” stakeholder requirement discovery์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.

์ข‹์€ ๋‹ต๋ณ€์„ ์–ด๋–ป๊ฒŒ ๊ตฌ์„ฑํ•˜๋‚˜์š”?

๊ฒฐ๋ก , ๋ฐฐ๊ฒฝ, ์‚ฌ๊ณ  ๊ณผ์ •, ๊ฒฐ๊ณผ ๋˜๋Š” ๋‹ค์Œ ๋‹จ๊ณ„์˜ ์ˆœ์„œ๋กœ ๋‹ตํ•˜์„ธ์š”. ์งง์€ ๋ฒ„์ „๊ณผ ์ž์„ธํ•œ ๋ฒ„์ „์„ ๋ชจ๋‘ ์—ฐ์Šตํ•˜๋ฉด ์ถ”๊ฐ€ ์งˆ๋ฌธ์—๋„ ์ž์—ฐ์Šค๋Ÿฝ๊ฒŒ ๋Œ€์‘ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ฑ„์šฉ ๊ณต๊ณ ์—์„œ ์‹œ์ž‘ํ•ด ๋ฉด์ ‘๊ด€์ด ์›ํ•˜๋Š” ๊ทผ๊ฑฐ๋ฅผ ํŒŒ์•…ํ•˜๊ณ , ์„ธ๋ถ€ ๋‚ด์šฉ์„ ๋”ํ•˜๊ธฐ ์ „์— ์ง์ ‘์ ์ธ ๋‹ต์„ ์—ฐ์Šตํ•˜์„ธ์š”. ์ข‹์€ ์ค€๋น„๋Š” ๊ฐ ์งˆ๋ฌธ์ด ํ‰๊ฐ€ํ•˜๋Š” ํŒ๋‹จ์„ ์ž์‹ ์˜ ์‚ฌ์‹ค์ ์ธ ์‚ฌ๋ก€์™€ ์—ฐ๊ฒฐํ•ฉ๋‹ˆ๋‹ค.

์ดˆ์ ๋ณด์—ฌ ์ค„ ๋‚ด์šฉํ”ผํ•  ๋‚ด์šฉ
์ด ํ•ญ๋ชฉ์—์„œ๋Š” Modeling์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.์ด ํ•ญ๋ชฉ์—์„œ๋Š” Explain grain, dimensions, facts, and relationship choices์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.์ด ํ•ญ๋ชฉ์—์„œ๋Š” A flat table without tradeoffs์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.
์ด ํ•ญ๋ชฉ์—์„œ๋Š” DAX์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.์ด ํ•ญ๋ชฉ์—์„œ๋Š” Describe evaluation context before writing a measure์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.์ด ํ•ญ๋ชฉ์—์„œ๋Š” Memorized formulas without meaning์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.
์ด ํ•ญ๋ชฉ์—์„œ๋Š” Delivery์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.์ด ํ•ญ๋ชฉ์—์„œ๋Š” Cover validation, security, refresh, and adoption์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.์ด ํ•ญ๋ชฉ์—์„œ๋Š” Stopping after a chart looks correct์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.

์ด ํ•ญ๋ชฉ์—์„œ๋Š” Power BI ๋ฉด์ ‘ ์งˆ๋ฌธ preparation board์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.

์ด ํ•ญ๋ชฉ์—์„œ๋Š” row and filter context in DAX์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” CALCULATE and context transition์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” Power Query query folding์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.

์–ด๋–ค ์ค€๋น„ ๊ณผ์ •์ด ํšจ๊ณผ์ ์ธ๊ฐ€์š”?

์ด๋ ฅ์„œ์™€ ์ฑ„์šฉ ๊ณต๊ณ ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ž‘์€ ์‚ฌ๋ก€ ๋ชจ์Œ์„ ๋งŒ๋“œ์„ธ์š”. ๋ชจ์˜ ๋ฉด์ ‘์„ ๋…น์Œํ•˜๊ณ  ๋ชจํ˜ธํ•œ ์ฃผ์žฅ์„ ํ‘œ์‹œํ•œ ๋’ค ๊ตฌ์ฒด์ ์ธ ๋งฅ๋ฝ์„ ๋ณด์ถฉํ•ฉ๋‹ˆ๋‹ค. ์ข‹์€ ํ‘œํ˜„์€ ์œ ์ง€ํ•˜๋˜ ๋Œ€๋ณธ์„ ์™ธ์šฐ์ง€๋Š” ๋งˆ์„ธ์š”.

์ด ํ•ญ๋ชฉ์—์„œ๋Š” Import, DirectQuery, and composite models์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” incremental refresh์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” row-level security์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”. ์ด ํ•ญ๋ชฉ์—์„œ๋Š” workspace roles and deployment pipelines์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.

๊ฒฐ๋ก , ๋ฐฐ๊ฒฝ, ์‚ฌ๊ณ  ๊ณผ์ •, ๊ฒฐ๊ณผ ๋˜๋Š” ๋‹ค์Œ ๋‹จ๊ณ„์˜ ์ˆœ์„œ๋กœ ๋‹ตํ•˜์„ธ์š”. ์งง์€ ๋ฒ„์ „๊ณผ ์ž์„ธํ•œ ๋ฒ„์ „์„ ๋ชจ๋‘ ์—ฐ์Šตํ•˜๋ฉด ์ถ”๊ฐ€ ์งˆ๋ฌธ์—๋„ ์ž์—ฐ์Šค๋Ÿฝ๊ฒŒ ๋Œ€์‘ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋ ฅ์„œ์™€ ์ฑ„์šฉ ๊ณต๊ณ ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ž‘์€ ์‚ฌ๋ก€ ๋ชจ์Œ์„ ๋งŒ๋“œ์„ธ์š”. ๋ชจ์˜ ๋ฉด์ ‘์„ ๋…น์Œํ•˜๊ณ  ๋ชจํ˜ธํ•œ ์ฃผ์žฅ์„ ํ‘œ์‹œํ•œ ๋’ค ๊ตฌ์ฒด์ ์ธ ๋งฅ๋ฝ์„ ๋ณด์ถฉํ•ฉ๋‹ˆ๋‹ค. ์ข‹์€ ํ‘œํ˜„์€ ์œ ์ง€ํ•˜๋˜ ๋Œ€๋ณธ์„ ์™ธ์šฐ์ง€๋Š” ๋งˆ์„ธ์š”.

๋ฉด์ ‘ ์ง€์› ๋„๊ตฌ๋ฅผ ์ฑ…์ž„ ์žˆ๊ฒŒ ์‚ฌ์šฉํ•˜๋Š” ๋ฐฉ๋ฒ•์€?

์‹ค์‹œ๊ฐ„ ํ‰๊ฐ€์—์„œ ๋„๊ตฌ๋ฅผ ์‚ฌ์šฉํ•˜๊ธฐ ์ „์— ๊ณ ์šฉ์ฃผ์™€ ๋ฉด์ ‘ ํ”Œ๋žซํผ์˜ ๊ทœ์น™์„ ํ™•์ธํ•˜์„ธ์š”. ๊ฐ๋… ์‹œํ—˜์—์„œ๋Š” ์‚ฌ์ „ ์ค€๋น„์—๋งŒ ์˜์กดํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. ์ง€์›์ด ํ—ˆ์šฉ๋˜๋”๋ผ๋„ ๊ธฐ๋ฐ€ ์ •๋ณด๋ฅผ ๋ณดํ˜ธํ•˜๊ณ  ์ œ์•ˆ์„ ๊ฒ€์ฆํ•˜๋ฉฐ ์ž์‹ ์˜ ๋ง๋กœ ๋‹ตํ•˜์„ธ์š”.

YesToTheOffer๋Š” ์–ด๋–ป๊ฒŒ ๋•๋‚˜์š”?

YesToTheOffer๋Š” ์ด๋ ฅ์„œ, ์ฑ„์šฉ ๊ณต๊ณ , ํšŒ์‚ฌ ๋ฉ”๋ชจ์™€ ๋น„๊ณต๊ฐœ ๋งฅ๋ฝ์„ ๋ฐ”ํƒ•์œผ๋กœ ์ค€๋น„๋ฅผ ์ง€์›ํ•ฉ๋‹ˆ๋‹ค. ๋ฐ์Šคํฌํ†ฑ ์›Œํฌํ”Œ๋กœ๋Š” ์‹ค์‹œ๊ฐ„ ์ „์‚ฌ, ๋‹ต๋ณ€ ๊ตฌ์กฐํ™”, ์ฝ”๋”ฉ ์ง€์›, ๋ฉด์ ‘ ํ›„ ๊ฒ€ํ† ๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ๊ฒฝํ—˜์„ ๊พธ๋ฉฐ ๋‚ด๋Š” ๋Œ€์‹  ์ž์‹ ์˜ ๊ทผ๊ฑฐ๋ฅผ ์ •๋ฆฌํ•˜๋Š” ๋ฐ ์‚ฌ์šฉํ•˜์„ธ์š”. AI interview copilot, behavioral interview preparation, resume-grounded guidance.

์ž์ฃผ ๋ฌป๋Š” ์งˆ๋ฌธ

FAQ

Power BI ๋ฉด์ ‘ ์งˆ๋ฌธ์€ ๋ฌด์—‡๋ถ€ํ„ฐ ๊ณต๋ถ€ํ•ด์•ผ ํ•˜๋‚˜์š”?

์ด ํ•ญ๋ชฉ์—์„œ๋Š” start with the role requirements and the highest-frequency skills, then practice explaining decisions rather than memorizing isolated facts์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.

์‚ฌ๋ก€๋Š” ๋ช‡ ๊ฐœ ์ค€๋น„ํ•ด์•ผ ํ•˜๋‚˜์š”?

์ด ํ•ญ๋ชฉ์—์„œ๋Š” prepare four to six truthful examples that cover success, difficulty, collaboration, correction, and learning์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.

๋‹ต๋ณ€์€ ์–ด๋А ์ •๋„๋กœ ์ž์„ธํ•ด์•ผ ํ•˜๋‚˜์š”?

์ด ํ•ญ๋ชฉ์—์„œ๋Š” begin with a concise conclusion and add context, reasoning, and evidence only as the interviewer needs it์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.

๋‹ต์„ ๋ชจ๋ฅผ ๋•Œ๋Š” ์–ด๋–ป๊ฒŒ ํ•˜๋‚˜์š”?

์ด ํ•ญ๋ชฉ์—์„œ๋Š” state what you know, clarify the missing information, and describe how you would verify or investigate instead of guessing์„ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์ž์‹ ์˜ ๋ง๋กœ ์„ค๋ช…ํ•˜๊ณ  ์‹ค์ œ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐํ•˜์„ธ์š”.

AI๋ฅผ ์ฑ…์ž„ ์žˆ๊ฒŒ ํ™œ์šฉํ•˜๋Š” ๋ฐฉ๋ฒ•์€?

์‹ค์‹œ๊ฐ„ ํ‰๊ฐ€์—์„œ ๋„๊ตฌ๋ฅผ ์‚ฌ์šฉํ•˜๊ธฐ ์ „์— ๊ณ ์šฉ์ฃผ์™€ ๋ฉด์ ‘ ํ”Œ๋žซํผ์˜ ๊ทœ์น™์„ ํ™•์ธํ•˜์„ธ์š”. ๊ฐ๋… ์‹œํ—˜์—์„œ๋Š” ์‚ฌ์ „ ์ค€๋น„์—๋งŒ ์˜์กดํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. ์ง€์›์ด ํ—ˆ์šฉ๋˜๋”๋ผ๋„ ๊ธฐ๋ฐ€ ์ •๋ณด๋ฅผ ๋ณดํ˜ธํ•˜๊ณ  ์ œ์•ˆ์„ ๊ฒ€์ฆํ•˜๋ฉฐ ์ž์‹ ์˜ ๋ง๋กœ ๋‹ตํ•˜์„ธ์š”. YesToTheOffer๋Š” ์ด๋ ฅ์„œ, ์ฑ„์šฉ ๊ณต๊ณ , ํšŒ์‚ฌ ๋ฉ”๋ชจ์™€ ๋น„๊ณต๊ฐœ ๋งฅ๋ฝ์„ ๋ฐ”ํƒ•์œผ๋กœ ์ค€๋น„๋ฅผ ์ง€์›ํ•ฉ๋‹ˆ๋‹ค. ๋ฐ์Šคํฌํ†ฑ ์›Œํฌํ”Œ๋กœ๋Š” ์‹ค์‹œ๊ฐ„ ์ „์‚ฌ, ๋‹ต๋ณ€ ๊ตฌ์กฐํ™”, ์ฝ”๋”ฉ ์ง€์›, ๋ฉด์ ‘ ํ›„ ๊ฒ€ํ† ๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ๊ฒฝํ—˜์„ ๊พธ๋ฉฐ ๋‚ด๋Š” ๋Œ€์‹  ์ž์‹ ์˜ ๊ทผ๊ฑฐ๋ฅผ ์ •๋ฆฌํ•˜๋Š” ๋ฐ ์‚ฌ์šฉํ•˜์„ธ์š”.

์ค€๋น„๋ฅผ ๋ฐ˜๋ณต ๊ฐ€๋Šฅํ•œ ์‹œ์Šคํ…œ์œผ๋กœ ๋งŒ๋“ค๊ธฐ

์ด๋ ฅ์„œ์™€ ์ฑ„์šฉ ๊ณต๊ณ ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ž‘์€ ์‚ฌ๋ก€ ๋ชจ์Œ์„ ๋งŒ๋“œ์„ธ์š”. ๋ชจ์˜ ๋ฉด์ ‘์„ ๋…น์Œํ•˜๊ณ  ๋ชจํ˜ธํ•œ ์ฃผ์žฅ์„ ํ‘œ์‹œํ•œ ๋’ค ๊ตฌ์ฒด์ ์ธ ๋งฅ๋ฝ์„ ๋ณด์ถฉํ•ฉ๋‹ˆ๋‹ค. ์ข‹์€ ํ‘œํ˜„์€ ์œ ์ง€ํ•˜๋˜ ๋Œ€๋ณธ์„ ์™ธ์šฐ์ง€๋Š” ๋งˆ์„ธ์š”. ๊ฒฐ๋ก , ๋ฐฐ๊ฒฝ, ์‚ฌ๊ณ  ๊ณผ์ •, ๊ฒฐ๊ณผ ๋˜๋Š” ๋‹ค์Œ ๋‹จ๊ณ„์˜ ์ˆœ์„œ๋กœ ๋‹ตํ•˜์„ธ์š”. ์งง์€ ๋ฒ„์ „๊ณผ ์ž์„ธํ•œ ๋ฒ„์ „์„ ๋ชจ๋‘ ์—ฐ์Šตํ•˜๋ฉด ์ถ”๊ฐ€ ์งˆ๋ฌธ์—๋„ ์ž์—ฐ์Šค๋Ÿฝ๊ฒŒ ๋Œ€์‘ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์ค€๋น„๋ฅผ ๋ฐ˜๋ณต ๊ฐ€๋Šฅํ•œ ์‹œ์Šคํ…œ์œผ๋กœ ๋งŒ๋“ค๊ธฐ

๋ฐ์ดํ„ฐ ๋ชจ๋ธ๋ง, DAX, Power Query, ๋ณด์•ˆ, ์„ฑ๋Šฅ, ๋ฐฐํฌ์— ๊ด€ํ•œ Power BI ์งˆ๋ฌธ์„ ์ค€๋น„ํ•˜์„ธ์š”.

YesToTheOffer ์‚ฌ์šฉํ•ด ๋ณด๊ธฐ
Power BI ๋ฉด์ ‘ ์งˆ๋ฌธ 25๊ฐœ์™€ ๋‹ต๋ณ€ ๊ฐ€์ด๋“œ | yestotheoffer