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Microsoft DP-600 Korean Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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:

Fabric 워크스페이스에 Dataflow Gen2 쿼리가 포함되어 있습니다. 해당 쿼리는 다음 데이터를 반환합니다.

고객 기록의 최신 버전만 남도록 결과를 필터링해야 합니다. 또한, 시맨틱 모델에 새로운 열이 추가되지 않도록 해야 합니다.
Power Query 편집기에서 순서대로 수행해야 하는 네 가지 작업은 무엇입니까? 정답을 맞추려면 작업 목록에서 해당 작업을 답란으로 이동하고 올바른 순서대로 배열하십시오.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Comprehensive Detailed Explanation
We have a table with:
CustomerID # unique ID
CustomerName # customer's name
VersionDate # timestamp representing version history
The requirement:
Keep only the latest record per customer.
Ensure no new technical columns (like max version date) remain in the semantic model.
Step 1: Identify latest version per customer
We need to determine the latest VersionDate for each CustomerID.
Use Group By CustomerID and calculate Max of VersionDate.
This creates a mapping of CustomerID # latest VersionDate.
Step 2: Filter to keep only latest records
Join or filter original data so that only rows with VersionDate = Max(VersionDate) are retained.
This ensures that only the most recent record is kept per customer.
Step 3: Remove the helper column
The column holding Max VersionDate is only needed for filtering.
It must be removed because the requirement is that no new columns are loaded to the semantic model.
Step 4: Remove duplicates
As a final safeguard, remove duplicates by CustomerID, ensuring that each customer appears only once.
Final Ordered Actions
Group by CustomerID and calculate the max version date per customer ID.
Filter the query where the version date value equals the max version date value.
Remove the max version date column.
Remove duplicates based on CustomerID.

귀하는 Fabric 테넌트를 보유하고 있습니다.
Fabric Data Factory 파이프라인을 생성하고 있습니다.
현재 월의 활성 고객 수와 고객별 평균 매출액을 반환하는 저장 프로시저가 있습니다.
데이터 웨어하우스에 저장된 프로시저를 실행하는 액티비티를 추가해야 합니다. 반환된 값은 파이프라인의 하위 액티비티에서 사용할 수 있어야 합니다.
어떤 유형의 활동을 추가해야 할까요?

  • A. 데이터 복사
  • B. 스위치
  • C. 변수 추가
  • D. 스크립트
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Workspace1이라는 워크스페이스를 포함하는 Fabric 테넌트가 있습니다. Workspace1에는 I.H1이라는 레이크하우스와 DW1이라는 웨어하우스가 있습니다. I.H1에는 dho 스키마에 있는 signindata라는 테이블이 있습니다.
DW1에 signindata 테이블의 데이터를 중복 제거하는 저장 프로시저를 생성해야 합니다.
T-SQL 문을 어떻게 완성해야 합니까? 답하려면 답변 영역에서 적절한 옵션을 선택하십시오.
참고: 정답 하나당 1점입니다.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Scenario Recap
Fabric tenant # Workspace1
Contains:
Lakehouse LH1 (with table signindata in schema dho)
Warehouse DW1
Task: Create a stored procedure in DW1 that deduplicates rows in signindata.
Step 1: Stored procedure structure
In T-SQL, stored procedures begin with:
AS
BEGIN
-- logic
END
So the correct option for the first blank is BEGIN.
BEGIN DISTRIBUTED TRANSACTION is not needed because we are not spanning multiple servers or needing distributed transactions.
SET is not the right way to start the logic block.
Step 2: Deduplication logic
To remove duplicates from signindata, the query should return unique rows.
The simplest way is:
SELECT DISTINCT PersonID, FirstName, LastName
FROM dho.signindata;
Thus the correct choice for the second blank is DISTINCT.
GROUP BY could also deduplicate but is less efficient here since no aggregation is requested.
TOP 100 PERCENT WITH TIES is irrelevant.
Step 3: Final T-SQL stored procedure
CREATE PROCEDURE dbo.usp_GetPerson
AS
BEGIN
SELECT DISTINCT PersonID, FirstName, LastName
FROM dho.signindata;
END;
Why this is correct
BEGIN # correct stored procedure structure.
DISTINCT # ensures deduplication of rows from signindata.
References
CREATE PROCEDURE (Transact-SQL)
DISTINCT (Transact-SQL)

귀하는 contoso.com이라는 이름의 Microsoft Entra 테넌트와 [email protected]이라는 이름의 외부 사용자를 보유하고 있습니다.
Workspace1이라는 Fabric 워크스페이스가 있으며, 이 워크스페이스에는 Model!이라는 시맨틱 모델과 Report 1이라는 보고서가 있습니다. [email protected]은 Report1에 대한 액세스 권한을 가지고 있습니다.
DAX Studio를 사용하여 고급 의미 모델링을 제공하려면 XML 분석(XMLA) 엔드포인트에 대한 읽기/쓰기 권한을 활성화해야 합니다.
사용자 @fabrikam.com에게 DAX Studio를 사용하여 연결할 수 있는 URL을 제공해야 합니다.
URL을 어떻게 완성해야 할까요? 정답을 선택하려면 답변란에서 적절한 옵션을 고르세요.
참고: 정답 하나당 1점입니다.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Fabric 테넌트에 웨어하우스가 있습니다. 이 웨어하우스는 행 수준 보안(RLS)을 사용합니다. 웨어하우스의 Delta 테이블과 RLS를 사용하는 Direct Lake 시맨틱 모델을 생성했습니다. 사용자가 이 모델을 기반으로 구축된 보고서와 상호 작용할 때 DAX 쿼리는 어떤 모드를 사용하게 될까요?

  • A. DirectQuery
  • B. 직접 호수
  • C. 가져오기
  • D. 이중
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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