070-778 Korean Q&As - in .pdf

070-778 Korean pdf
  • Exam Code: 070-778 Korean
  • Exam Name: Analyzing and Visualizing Data with Power BI (070-778 Korean Version)
  • Updated: Oct 14, 2026
  • Q & A: 155 Questions and Answers
  • PDF Price: $69.99
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  • Exam Code: 070-778 Korean
  • Exam Name: Analyzing and Visualizing Data with Power BI (070-778 Korean Version)
  • Updated: Oct 14, 2026
  • Q & A: 155 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $139.98  $89.99
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070-778 Korean Desktop Testing Engine

070-778 Korean Testing Engine
  • Exam Code: 070-778 Korean
  • Exam Name: Analyzing and Visualizing Data with Power BI (070-778 Korean Version)
  • Updated: Oct 14, 2026
  • Q & A: 155 Questions and Answers
  • Software Price: $69.99
  • Testing Engine

About Microsoft 070-778 Korean Exam Study Material

Waiting rooms and commutes are hidden study time, and the online version turns them into 070-778 Korean progress. LatestCram delivers 155 practice questions for the Microsoft Analyzing and Visualizing Data with Power BI (070-778 Korean Version) exam in a format that fits those spare minutes.

Microsoft 070-778 Korean Exam Syllabus Topics:

SectionObjectives
Topic 1: Visualize Data- Create reports and dashboards
  • 1. Charts, tables, and maps
    • 2. Interactive report design
      - Enhance visualizations
      • 1. Slicers and filters
        • 2. Custom visuals and formatting
          Topic 2: Prepare the Data- Clean, transform, and load data
          • 1. Data shaping and profiling
            • 2. Power Query Editor transformations
              - Get data from various sources
              • 1. Import vs DirectQuery modes
                • 2. Connect to data sources in Power BI Desktop
                  Topic 3: Deploy and Maintain Deliverables- Manage and secure data
                  • 1. Row-level security (RLS)
                    • 2. Data refresh and gateways
                      - Publish and share content
                      • 1. Power BI Service publishing
                        • 2. Workspaces and apps
                          Topic 4: Analyze the Data- Data insights
                          • 1. AI-powered insights in Power BI
                            • 2. Trend analysis
                              - DAX calculations
                              • 1. Time intelligence functions
                                • 2. Calculated columns and measures
                                  Topic 5: Model the Data- Create data models
                                  • 1. Relationships and cardinality
                                    • 2. Star schema design
                                      - Optimize model performance
                                      • 1. DAX optimization basics
                                        • 2. Data reduction techniques

                                          Studying for the Microsoft Analyzing and Visualizing Data with Power BI (070-778 Korean Version) Exam: Answers

                                          The Microsoft Analyzing and Visualizing Data with Power BI (070-778 Korean Version) exam requires a score of 700 (on a 1000-point scale) to pass, and the official registration fee is USD 165 (may vary by region). Because the fee is significant, preparing thoroughly the first time is the practical choice.

                                          Every session in the test engine is scored and broken down, so you see clearly which topics you handle well and which ones keep costing you points. That picture tells you where your remaining study time belongs — a far better guide than rereading everything evenly.

                                          The Microsoft Analyzing and Visualizing Data with Power BI (070-778 Korean Version) exam contains 40-60 (varies) questions, and you will have 120 minutes minutes to complete them. Practicing within the same limits builds the pacing the real exam demands.

                                          The Microsoft Analyzing and Visualizing Data with Power BI (070-778 Korean Version) exam is scored on a scale where 700 (on a 1000-point scale) is required to pass, and the official exam fee is USD 165 (may vary by region).

                                          No formal prerequisites. Recommended: experience with data analysis and Power BI, or prior MCSA: BI Reporting knowledge.

                                          You can confirm the current eligibility requirements on the official 070-778 Korean exam page before you register.

                                          This package includes 155 practice questions for the Microsoft Analyzing and Visualizing Data with Power BI (070-778 Korean Version) exam. Every answer is verified by an experienced team of experts, so you can trust what you study.

                                          You can register for the Microsoft Analyzing and Visualizing Data with Power BI (070-778 Korean Version) exam through the official channels:

                                          Yes. Once downloaded, the online test engine keeps running without an internet connection, on Windows, Mac, Android, or iOS. That means practice continues on flights, in waiting rooms, and anywhere else your day takes you — your 070-778 Korean preparation never has to pause for a missing signal.

                                          The Microsoft Analyzing and Visualizing Data with Power BI (070-778 Korean Version) practice questions are organized around the official exam objectives. Key topics include:

                                          • Visualize Data ()
                                          • Deploy and Maintain Deliverables ()
                                          • Prepare the Data ()

                                          Comparing your practice scores against these topics shows you where the next session should go.

                                          Microsoft Analyzing and Visualizing Data with Power BI (070-778 Korean Version) Sample Questions:

                                          Question #1

                                          다음 테이블이 있습니다.

                                          총 SalesAmount별로 상위 10 명의 고객을 표시하는 새 테이블을 작성해야 합니다.
                                          DAX 공식을 어떻게 완성해야 합니까? 답변하려면 답변 영역에서 적절한 옵션을 선택하십시오.
                                          참고 : 각각의 올바른 선택은 1 포인트의 가치가 있습니다.

                                          Reveal Solution  Discussion  0

                                          Correct Answer:


                                          Question #2

                                          Power BI Embedded를 사용하여 웹 응용 프로그램에서 보고서를 제공 할 계획입니다.
                                          보고서에 실시간 데이터가 표시되는지 확인해야 합니다.
                                          어떤 데이터 소스를 사용해야 합니까?

                                          • A. Microsoft Azure Data Lake Store
                                          • B. Microsoft Azure 테이블 저장소
                                          • C. Microsoft Azure HDInsight
                                          • D. Microsoft Azure SQL 데이터베이스
                                          Reveal Solution  Discussion  0

                                          Correct Answer: D  🗳️

                                          Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).

                                          Question #3

                                          날짜 테이블이 있는 Power BI 모델이 있습니다. 다음 표에 표시된 데이터 샘플.

                                          2014 년 12 월 1 일 형식으로 날짜를 표시하려면 열을 추가해야 합니다.
                                          Power BI Desktop에서 어떤 DAX 수식을 사용해야 합니까?

                                          • A. [Date].[Month] & " " & FORMAT([Date], "D") & ", " & [Date].[Year])
                                          • B. FORMAT([Date], "MMMM DO, YYYY")
                                          • C. FORMAT([Date], "MM") & " " & FORMAT([Date], "DO") & ", " & FORMAT([Date], "YYYY")
                                          • D. FORMAT([Date], "MMM") & " " & FORMAT([Date], "DO") & ", " & FORMAT([Date], "YYYY")
                                          Reveal Solution  Discussion  0

                                          Correct Answer: B  🗳️

                                          Question #4

                                          참고 :이 질문은 동일한 시나리오를 사용하는 일련의 질문 중 일부입니다. 편의상 각 질문에 시나리오가 반복됩니다. 각 질문은 다른 목표와 답변 선택을 제시하지만 시나리오의 내용은이 시리즈의 각 질문에서 정확히 동일합니다.
                                          반복 시나리오 시작
                                          데이터베이스 다이어그램 전시회에 표시된 테이블이 있는 Microsoft SQL Server 데이터베이스가 있습니다. (전시 단추를 클릭하십시오.)

                                          Power BI 모델 전시회에 표시된대로 Power BI 모델을 개발할 계획입니다. (전시 단추를 클릭하십시오.)

                                          Power BI를 사용하여 2013 년에서 2015 년까지 데이터를 가져올 계획입니다.
                                          제품 하위 범주 [하위 범주]에 NULL 값이 포함되어 있습니다.
                                          반복 시나리오의 끝.
                                          Product [Color]가 Red 또는 Product [Size]가 50 인 Sales [SalesAmount] 측정 값을 작성해야 합니다.
                                          어떤 DAX 수식을 사용해야 합니까?

                                          • A. 옵션 D
                                          • B. 옵션 A
                                          • C. 옵션 B
                                          • D. 옵션 C
                                          Reveal Solution  Discussion  0

                                          Correct Answer: D  🗳️

                                          Question #5

                                          Power BI Desktop을 사용하여 100 개의 CSV 파일을 가져올 계획입니다.
                                          파일에는 다른 상점의 데이터가 포함됩니다. 파일의 구조는 동일하며 네트워크 공유에 저장됩니다.
                                          CSV 파일을 하나의 테이블로 가져와야 합니다. 솔루션은 관리 노력을 최소화해야 합니다.
                                          어떻게 해야 합니까?

                                          • A. 텍스트 / CSV 데이터 소스를 추가하고 쿼리 추가 명령을 사용하십시오.
                                          • B. 폴더 데이터 소스를 추가하고 파일 결합 명령을 사용하십시오.
                                          • C. 폴더 데이터 소스를 추가하고 쿼리 병합 명령을 사용하십시오.
                                          • D. Microsoft Excel 데이터 소스를 추가하고 쿼리 병합 명령을 사용하십시오.
                                          Reveal Solution  Discussion  0

                                          Correct Answer: B  🗳️

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