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

DP-600 Korean real exams

Exam Code: DP-600-KR

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

Updated: Oct 24, 2026

Q & A: 212 Questions and Answers

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Microsoft DP-600 Korean Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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.
Topic 3
  • 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.

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

다음과 같은 테이블을 포함하는 의미론적 모델이 있습니다.
* 판매
* 제품
* 위치
선택한 제품의 전체 판매량 대비 비율을 계산하는 Measure1이라는 DAX 측정값을 만들고 있습니다. Measure1은 다음 DAX 수식을 사용합니다.

다음 각 문장에 대해, 문장이 사실이면 '예'를 선택하고, 그렇지 않으면 '아니오'를 선택하십시오. 참고: 각 정답은 1점입니다.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Question #2

Warehouse!라는 이름의 웨어하우스가 있는 Fabric 워크스페이스가 있습니다. Warehouse에는 다음 데이터가 포함되어 있습니다.

테이블을 비정규화하고 결과에 ContractType 및 StartDate 속성을 포함하는 T-SQL 문을 작성해야 합니다. 이 솔루션은 다음 요구 사항을 충족해야 합니다.
* 계약 테이블에서 일치하는 행의 속성을 포함합니다.
* 직원 테이블의 모든 행이 보존되도록 하십시오.
* 직원이 2명 이상인 모든 계약 유형에 대해 계약 유형별 총 직원 수를 반환합니다.
문장을 어떻게 완성해야 할까요? 답하려면 답변란에서 적절한 옵션을 선택하세요.
참고: 정답 하나당 1점입니다.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Comprehensive Detailed Explanation
We are tasked with writing a T-SQL query to denormalize the tables Employee and Contract in a Fabric warehouse.
Requirements Breakdown
Include attributes from matching rows in the Contract table
This means we must join Employee and Contract on EmployeeID.
Ensure that all rows from the Employee table are preserved
This requires a LEFT OUTER JOIN from Employee to Contract. If an employee has no contract, we still want the employee record included.
Return the total number of employees per contract type for all contract types that have more than two employees This means we need to:
Group by ContractType
Count distinct EmployeeID
Filter groups where that count > 2.
To filter aggregated results, we use HAVING, not WHERE.
Completed Query
WITH result AS (
SELECT
e.EmployeeID,
e.EmployeeName,
e.EmployeePosition,
c.ContractType,
c.StartDate
FROM Employee AS e
LEFT OUTER JOIN Contract AS c
ON c.EmployeeID = e.EmployeeID
)
SELECT
ContractType,
COUNT(DISTINCT EmployeeID) AS TotalEmployees
FROM result
GROUP BY ContractType
HAVING COUNT(DISTINCT EmployeeID) > 2;
Why This is Correct
LEFT OUTER JOIN ensures all employees are included, regardless of contracts.
HAVING allows filtering aggregated groups by employee counts.
The query returns ContractType, StartDate (as requested in denormalization), and aggregated employee counts.
References
T-SQL JOINs in Microsoft Fabric
Aggregate functions and HAVING clause
Denormalization best practices in Fabric warehouses

Question #3

Fabric 웨어하우스에 SalesOrderDetail이라는 테이블이 있습니다.
SalesOrderDetail에는 다음과 같은 열이 포함되어 있습니다.
판매주문ID
제품ID
주문 수량
각 행은 판매 주문서에 있는 하나의 제품을 나타냅니다.
다음과 같은 T-SQL 문이 있습니다.

동일한 판매 주문에 포함된 각 제품이 전체 주문 수량에서 차지하는 비율을 계산해야 합니다.
<답변 선택지>에 어떤 절을 사용해야 할까요?

  • A. 판매 주문 ID로 분할
  • B. ProductID로 분할
  • C. 제품 ID로 정렬
  • D. 판매 주문 ID 순으로 정렬
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #4

귀사는 호숫가 주택 두 채를 소유한 Fabric 임차인을 보유하고 있습니다.
호숫가 주택들의 데이터를 결합하는 데이터플로우를 구축하고 있습니다. 데이터플로우의 쿼리 중 하나에 적용된 단계는 다음 그림에 나와 있습니다.

아래 그림에 제시된 정보를 바탕으로 각 문장을 완성하는 답을 드롭다운 메뉴에서 선택하세요. 참고: 정답 하나당 1점입니다.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Folding in Power Query refers to operations that can be translated into source queries. In this case, " some " of the steps can be folded, which means that some transformations will be executed at the data source level. The steps that cannot be folded will be executed within the Power Query engine. Custom steps, especially those that are not standard query operations, are usually executed within Power Query engine rather than being pushed down to the source system.
References =
Query folding in Power Query
Power Query M formula language

Question #5

Microsoft Power BL 시맨틱 모델이 있습니다.
계산 그룹을 구현할 계획입니다.
선택한 날짜에서 월별 누계(MTD)로 컨텍스트를 변경하는 계산 항목을 만들어야 합니다.
DAX 표현식을 어떻게 완성해야 합니까? 답하려면 답변 영역에서 적절한 옵션을 선택하십시오.
참고: 정답 하나당 1점입니다.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

To create a calculation item that changes the context from the selected date to month-to-date (MTD), the appropriate DAX expression involves using the CALCULATE function to alter the filter context and the DATESMTD function to specify the month-to-date context.
The correct completion for the DAX expression would be:
In the first dropdown, select CALCULATE.
In the second dropdown, select SELECTEDMEASURE.
This would create a DAX expression in the form:
CALCULATE(
SELECTEDMEASURE(),
DATESMTD( ' Date ' [DateColumn])
)

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