Microsoft DP-600 Korean : Implementing Analytics Solutions Using Microsoft Fabric (DP-600 Korean Version)

  • Exam Code: DP-600-KR
  • Exam Name: Implementing Analytics Solutions Using Microsoft Fabric (DP-600 Korean Version)
  • Updated: Oct 22, 2026
  • Q & A: 212 Questions and Answers

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Microsoft DP-600 Korean Exam Syllabus Topics:

TopicDetails
Topic 1
  • Implement and manage semantic models: This section of the exam measures the skills of architects and focuses on designing and optimizing semantic models to support enterprise-scale analytics. It evaluates understanding of storage modes and implementing star schemas and complex relationships, such as bridge tables and many-to-many joins. Architects must write DAX-based calculations using variables, iterators, and filtering techniques. The use of calculation groups, dynamic format strings, and field parameters is included. The section also includes configuring large semantic models and designing composite models. For optimization, candidates are expected to improve report visual and DAX performance, configure Direct Lake behaviors, and implement incremental refresh strategies effectively.
Topic 2
  • Maintain a data analytics solution: This section of the exam measures the skills of administrators and covers tasks related to enforcing security and managing the Power BI environment. It involves setting up access controls at both workspace and item levels, ensuring appropriate permissions for users and groups. Row-level, column-level, object-level, and file-level access controls are also included, alongside the application of sensitivity labels to classify data securely. This section also tests the ability to endorse Power BI items for organizational use and oversee the complete development lifecycle of analytics assets by configuring version control, managing Power BI Desktop projects, setting up deployment pipelines, assessing downstream impacts from various data assets, and handling semantic model deployments using XMLA endpoint. Reusable asset management is also a part of this domain.
Topic 3
  • Prepare data: This section of the exam measures the skills of engineers and covers essential data preparation tasks. It includes establishing data connections and discovering sources through tools like the OneLake data hub and the real-time hub. Candidates must demonstrate knowledge of selecting the appropriate storage type—lakehouse, warehouse, or eventhouse—depending on the use case. It also includes implementing OneLake integrations with Eventhouse and semantic models. The transformation part involves creating views, stored procedures, and functions, as well as enriching, merging, denormalizing, and aggregating data. Engineers are also expected to handle data quality issues like duplicates, missing values, and nulls, along with converting data types and filtering. Furthermore, querying and analyzing data using tools like SQL, KQL, and the Visual Query Editor is tested in this domain.

Reference: https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-600

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Microsoft Implementing Analytics Solutions Using Microsoft Fabric (DP-600 Korean Version) Sample Questions:

Question #1

시맨틱 모델을 포함하는 Fabric 테넌트가 있습니다. 이 모델에는 소매점에 대한 데이터가 포함되어 있습니다.
XMLA 엔드포인트를 사용하여 실행될 DAX 쿼리를 작성해야 합니다. 이 쿼리는 작년 같은 기간의 총 매출액을 반환해야 합니다.
DAX 표현식을 어떻게 완성해야 합니까? 답하려면 답변 영역에서 적절한 옵션을 선택하십시오.
참고: 정답 하나당 1점입니다.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:
First blank: CALCULATE
Second blank: _LYSales
Step 1 - Defining the variable
We want to calculate sales for the same period in the prior year. The correct function here is CALCULATE, because it allows applying a filter context modification (with SAMEPERIODLASTYEAR).
So:
VAR _LYSales =
CALCULATE ( [Total Sales], SAMEPERIODLASTYEAR ( ' Orders ' [Order Date] ) ) Step 2 - Returning the value We then need to RETURN the value of the variable. From the dropdown options, we select _LYSales.
So:
EVALUATE
VAR _LYSales =
CALCULATE ( [Total Sales], SAMEPERIODLASTYEAR ( ' Orders ' [Order Date] ) ) RETURN ROW ( " LastYearSales " , _LYSales ) Note: In XMLA DAX queries, you usually need a table expression, so wrapping with ROW or SELECTCOLUMNS is common, but based on the provided answer box, just returning _LYSales is sufficient here.
Final Answer:
First blank: CALCULATE
Second blank: _LYSales

Question #2

귀하는 Fabric 테넌트를 보유하고 있습니다.
다음 표에 표시된 사용자에 대해 OneLake 보안을 구성해야 합니다.

해결책은 최소 권한 원칙을 따라야 합니다.
각 사용자에게 어떤 권한을 부여해야 할까요? 답변하려면 답변 영역에서 적절한 옵션을 선택하세요.
참고: 정답 하나당 1점입니다.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

You need to configure OneLake security for two users with the following requirements:
User1: Read all the Spark data
User2: Read all the SQL endpoint data
The available permissions are: Read, ReadAll, and ReadData.
Understanding the permissions:
Read # Grants access to metadata but not the data itself.
ReadData # Grants access to query data through SQL endpoints (SQL-based access).
ReadAll # Grants access to read data across all engines (including Spark and SQL endpoints).
Applying least privilege principle:
User1 (Spark access): Needs to read all the Spark data # Assign ReadAll because Spark requires this permission to access data in OneLake.
User2 (SQL endpoint access): Needs to read SQL endpoint data only # Assign ReadData, as this grants access to SQL endpoints without over-provisioning Spark access.
Final Answer:
User1: ReadAll
User2: ReadData
References:
Microsoft Fabric OneLake permissions
Fabric Lakehouse & SQL Endpoint security

Question #3

Model 1이라는 이름의 시맨틱 모델이 있습니다. Model 1에는 가져오기 모드를 사용하는 테이블이 다섯 개 있습니다. 또한 Model 1에는 HR이라는 이름의 동적 행 수준 보안(RLS) 역할이 있습니다. HR 역할은 인사 담당자가 자신이 소속된 부서의 데이터만 볼 수 있도록 직원 데이터를 필터링합니다.
Model1을 Fabric 테넌트에 게시하고 RLS 역할 멤버십을 구성합니다. 그런 다음 모델과 관련 보고서를 사용자에게 공유합니다.
인사 담당자가 보고서에 나타난 데이터가 불완전하다고 보고했습니다.
인사 담당자가 확인한 데이터의 유효성을 검증하려면 어떻게 해야 할까요?

  • A. HR 담당자 역할로 데이터를 보려면 '테스트' 역할을 선택하세요.
  • B. 인사 담당자에게 Microsoft Power BI Desktop에서 보고서를 열어달라고 요청하세요.
  • C. 인사 관리자로서 보고서를 보려면 역할을 '테스트'로 선택하세요.
  • D. 보고서의 데이터를 인사부의 의도된 필터 논리에 맞게 필터링합니다.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #4

사용자 계정에는 User1과 User2라는 두 명의 사용자가 있습니다.
인증 및 마스터 데이터 승인이 활성화된 Fabric 테넌트가 있습니다. User2는 인증 및 마스터 데이터 승인에 대한 승인된 수신자로 구성되어 있습니다. 해당 테넌트에는 Workspace V라는 워크스페이스가 있으며, Workspace1에는 다음 항목이 포함되어 있습니다.
* Model1이라는 이름의 의미 모델
User1은 Modell의 소유자이며 모델에 대한 쓰기 권한이 부여되어 있습니다.
* LH1 mat이라는 이름의 호숫가 주택에 고객 마스터 데이터가 저장됩니다.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Question #5

Warehouse1이라는 이름의 Fabric 웨어하우스가 있으며, 이 웨어하우스에는 dbo.Product라는 테이블이 있습니다. dbo.Product 테이블에는 다음과 같은 열이 포함되어 있습니다.

T-SQL 쿼리를 사용하여 dbo.Product 테이블에 PriceRange라는 열을 추가해야 합니다. 이 열은 단가를 기준으로 각 제품을 분류해야 합니다. 솔루션은 다음 요구 사항을 충족해야 합니다.
* 단가가 0이면 가격범위는 "재판매 불가"입니다.
* 단가가 50 미만인 경우, 가격범위는 "50달러 미만"입니다.
* 단가가 50에서 250 사이인 경우, 가격범위는 "250달러 미만"입니다.
* 그 외의 모든 경우 PriceRange는 "$250+"입니다.
어떻게 질문을 완료하시겠습니까? 답변하려면 적절한 값을 드래그하여 해당 위치에 놓으세요. 각 값은 한 번, 여러 번 또는 전혀 사용되지 않을 수 있습니다. 내용을 보려면 창 사이의 분할 막대를 드래그하거나 스크롤해야 할 수도 있습니다.
참고: 정답 하나당 1점입니다.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Comprehensive Detailed Explanation
We need to create a computed column PriceRange based on the UnitPrice column in the dbo.Product table.
Step 1: Requirements
If UnitPrice = 0 # " Not for resale "
If UnitPrice < 50 # " Under $50 "
If UnitPrice > = 50 AND UnitPrice < 250 # " Under $250 "
Otherwise # " $250+ "
This matches a CASE expression in T-SQL.
Step 2: CASE Expression Structure
The syntax is:
CASE
WHEN condition THEN result
WHEN condition THEN result
ELSE result
END
Step 3: Apply to Problem
SELECT
Item,
UnitPrice,
PriceRange = CASE
WHEN UnitPrice = 0 THEN ' Not for resale '
WHEN UnitPrice < 50 THEN ' Under $50 '
WHEN UnitPrice > = 50 AND UnitPrice < 250 THEN ' Under $250 '
ELSE ' $250+ '
END
FROM [Warehouse1].[dbo] .[Product];
Step 4: Why This is Correct
CASE starts the conditional evaluation.
ELSE handles the default branch ($250+).
END closes the expression.
Meets all requirements exactly.
References
CASE expression in T-SQL
Computed columns in T-SQL

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