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

"Implementing Analytics Solutions Using Microsoft Fabric (DP-600 Korean Version)", also known as DP-600 exam, is a Microsoft Certification. With the complete collection of questions and answers, PrepPDF has assembled to take you through 212 Q&As to your DP-600 Exam preparation. In the DP-600 exam resources, you will cover every field and category in Microsoft Certified Certification helping to ready you for your successful Microsoft Certification.

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  • Exam Code: DP-600
  • Exam Name: Implementing Analytics Solutions Using Microsoft Fabric (DP-600 Korean Version)
  • Certification Provider: Microsoft
  • Corresponding Certification: Microsoft Certified
  • Updated: Oct 24, 2026
  • No. of Questions: 212 Questions & Answers with Testing Engine
  • Download Limit: Unlimited
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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
  • 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
  • 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.

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:

참고: 이 문제는 동일한 시나리오를 제시하는 일련의 문제 중 하나입니다. 각 문제에는 제시된 목표를 달성할 수 있는 고유한 해결책이 포함되어 있습니다. 일부 문제 세트에는 정답이 두 개 이상일 수 있으며, 정답이 없는 문제 세트도 있습니다.
이 섹션에서 질문에 답변한 후에는 해당 질문으로 돌아갈 수 없습니다. 따라서 이 질문들은 검토 화면에 나타나지 않습니다.
Model1이라는 이름의 시맨틱 모델을 포함하는 Fabric 테넌트가 있습니다.
Model1에 대해 다음 쿼리가 느리게 실행되는 것을 발견했습니다.

쿼리 실행 시간을 줄여야 합니다.
해결 방법: 4번째 줄을 다음 코드로 교체하십시오.

이것이 목표를 달성합니까?

  • A. 아니요
  • B. 예
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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

귀하는 LH1이라는 이름의 호숫가 주택을 포함하는 Fabric 임대 계약을 보유하고 있습니다.
새로운 시맨틱 모델을 배포해야 합니다. 솔루션은 다음 요구 사항을 충족해야 합니다.
* 집계 함수, 계산 테이블 및 다차원 표현식(MDX) 사용자 계층 구조를 포함하는 복잡한 계산 열을 지원합니다.
* 페이지 렌더링 시간을 최소화합니다.
모델을 어떻게 구성해야 할까요? 답변하려면 답변 영역에서 적절한 옵션을 선택하세요.
참고: 정답 하나당 1점입니다.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Supports complex calculated columns (with aggregate functions, calculated tables, MDX hierarchies).
Minimizes page rendering times.
Step 1 - Choosing the Mode
Direct Lake # Best for near real-time queries, avoids duplication, but has limitations (e.g., some complex calculated columns, MDX user hierarchies are not fully supported).
DirectQuery # Sends queries to the source each time. It supports complex expressions but is slow (not optimal for minimizing page rendering times).
Import # Data is loaded into VertiPaq in-memory engine, supports full DAX capabilities, calculated tables, MDX hierarchies, and provides fastest query performance.
# Correct choice: Import.
Step 2 - Choosing Query Caching
Capacity default # Relies on the workspace/capacity setting.
Off # Disables caching, which could slow down report rendering.
On # Ensures queries are cached for faster page rendering times.
# Correct choice: On.
Final Answer:
Mode: Import
Query Caching: On
References:
Semantic model storage modes in Fabric
Query caching in Power BI / Fabric

Workspace1이라는 이름의 Fabric 워크스페이스가 있으며, 이 워크스페이스는 Capacity1이라는 이름의 새로 생성된 Fabric 용량에 할당되어 있습니다.
Model1이라는 이름의 시맨틱 모델을 생성하고, Model1을 Workspace1에 배포합니다.
Model1에 대한 변경 사항은 표 형식 편집기에서 직접 게시해야 합니다.
어떻게 해야 할까요?

  • A. Capacity1의 경우 XMLA 엔드포인트를 읽기/쓰기로 설정합니다.
  • B. 모델 1의 경우 외부 공유를 활성화합니다.
  • C. Workspace1의 경우 관리형 프라이빗 엔드포인트를 생성합니다.
  • D. Workspace1의 경우 Git 통합을 활성화합니다.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Warehouse1이라는 이름의 웨어하우스를 포함하는 Fabric 테넌트가 있습니다. Warehouse1에는 10억 개의 행이 있는 FactSales라는 팩트 테이블이 있습니다. 다음 T-SQL 문을 실행합니다.
CREATE TABLE test.FactSales AS CLONE OF Dbo.FactSales;
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:
A replica of dbo.Sales is created in the test schema by copying the metadata only. - Yes Additional schema changes to dbo.FactSales will also apply to test.FactSales. - No Additional data changes to dbo.FactSales will also apply to test.FactSales. - No The CREATE TABLE AS CLONE statement creates a copy of an existing table, including its data and any associated data structures, like indexes. Therefore, the statement does not merely copy metadata; it also copies the data. However, subsequent schema changes to the original table do not automatically propagate to the cloned table. Any data changes in the original table after the clone operation will not be reflected in the clone unless explicitly updated.
References =
CREATE TABLE AS SELECT (CTAS) in SQL Data Warehouse

참고: 이 문제는 동일한 시나리오를 제시하는 일련의 문제 중 하나입니다. 각 문제에는 제시된 목표를 달성할 수 있는 고유한 해결책이 포함되어 있습니다. 일부 문제 세트에는 정답이 두 개 이상일 수 있으며, 정답이 없는 문제 세트도 있습니다.
이 섹션에서 질문에 답변한 후에는 해당 질문으로 돌아갈 수 없습니다. 따라서 이 질문들은 검토 화면에 나타나지 않습니다.
Model1이라는 이름의 시맨틱 모델을 포함하는 Fabric 테넌트가 있습니다.
Model1에 대해 다음 쿼리가 느리게 실행되는 것을 발견했습니다.

쿼리 실행 시간을 줄여야 합니다.
해결 방법: 다음 코드 참조:

이것이 목표를 달성합니까?

  • A. 아니요
  • B. 예
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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

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