그리고 Fast2test DP-600 시험 문제집의 전체 버전을 클라우드 저장소에서 다운로드할 수 있습니다: https://drive.google.com/open?id=1j6symjMRwZ3VRjIJt53_NWoGm1DOPJYS
Fast2test의 높은 적중율을 보장하는 최고품질의Microsoft DP-600덤프는 최근Microsoft DP-600실제인증시험에 대비하여 제작된것으로 엘리트한 전문가들이 실제시험문제를 분석하여 답을 작성한 만큼 시험문제 적중율이 아주 높습니다. Fast2test의 Microsoft DP-600 덤프는Microsoft DP-600시험을 패스하는데 가장 좋은 선택이기도 하고Microsoft DP-600인증시험을 패스하기 위한 가장 힘이 되어드리는 자료입니다.
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거침없이 발전해나가는 IT업계에서 자신만의 자리를 동요하지 않고 단단히 지킬려면Microsoft인증 DP-600시험은 무조건 패스해야 합니다. 하지만Microsoft인증 DP-600시험패스는 하늘에 별따기 만큼 어렵습니다. 시험이 영어로 출제되어 공부자료 마련도 좀 힘든편입니다. 여러분들의 고민을 덜어드리기 위해Fast2test에서는Microsoft인증 DP-600시험의 영어버전 실제문제를 연구하여 실제시험에 대비한 영어버전Microsoft인증 DP-600덤프를 출시하였습니다.전문적인 시험대비자료이기에 다른 공부자료는 필요없이Fast2test에서 제공해드리는Microsoft인증 DP-600영어버전덤프만 공부하시면 자격증을 딸수 있습니다.
질문 # 187
You are implementing two dimension tables named Customers and Products in a Fabric warehouse.
You need to use slowly changing dimension (SCO) to manage the versioning of data. The solution must meet the requirements shown in the following table.
Which type of SCD should you use for each table? To answer, drag the appropriate SCD types to the correct tables. Each SCD type may be used once, more than once, or not at all. You may need to drag the split bar between panes o r scroll to view content.
NOTE: Each correct selection is worth one point.
정답:
설명:
Explanation:
For the Customers table, where the requirement is to create a new version of the row, you would use:
* Type 2 SCD: This type allows for the creation of a new record each time a change occurs, preserving the history of changes over time.
For the Products table, where the requirement is to overwrite the existing value in the latest row, you would use:
* Type 1 SCD: This type updates the record directly, without preserving historical data.
질문 # 188
You have a Fabric tenant that contains a lakehouse. You plan to use a visual query to merge two tables.
You need to ensure that the query returns all the rows that are present in both tables. Which type of join should you use?
정답:E
설명:
When you need to return all rows that are present in both tables, you use a full outer join. This type of join combines the results of both left and right outer joins and returns all rows from both tables, with matching rows from both sides where available. If there is no match, the result is NULL on the side of the join where there is no match.
Topic 1, Contoso, ltd.
Overview
Contoso, ltd. is a US-based health supplements company, Contoso has two divisions named Sales and Research. The Sales division contains two departments named Online Sales and Retail Sales. The Research division assigns internally developed product lines to individual teams of researchers and analysts.
Identity Environment
Contoso has a Microsoft Entra tenant named contoso.com. The tenant contains two groups named ResearchReviewersGroupi and ReseachReviewefsGfoup2.
Data Environment
Contoso has the following data environment
* The Sales division uses a Microsoft Power B1 Premium capacity.
* The semantic model of the Online Sales department includes a fact table named Orders that uses import mode. In the system of origin, the OrderlD value represents the sequence in which orders are created.
* The Research department uses an on-premises. third-party data warehousing product.
* Fabric is enabled for contoso.com.
* An Azure Data Lake Storage Gen2 storage account named storage1 contains Research division data for a product line named Producthne1. The data is in the delta format.
* A Data Lake Storage Gen2 storage account named storage2 contains Research division data for a product line named Productline2. The data is in the CSV format.
Planned Changes
Contoso plans to make the following changes:
* Enable support for Fabric in the Power Bl Premium capacity used by the Sales division.
* Make all the data for the Sales division and the Research division available in Fabric.
* For the Research division, create two Fabric workspaces named Producttmelws and Productline2ws.
* in Productlinelws. create a lakehouse named LakehouseV
* In Lakehouse1. create a shortcut to storage1 named ResearchProduct.
Data Analytics Requirements
Contoso identifies the following data analytics requirements:
* All the workspaces for the Sales division and the Research division must support all Fabric experiences.
* The Research division workspaces must use a dedicated, on-demand capacity that has per-minute billing.
* The Research division workspaces must be grouped together logically to support OneLake data hub filtering based on the department name.
* For the Research division workspaces, the members of ResearchRevtewersGroupl must be able to read lakehouse and warehouse data and shortcuts by using SQL endpoints.
* For the Research division workspaces, the members of ResearchReviewersGroup2 must be able to read lakehouse data by using Lakehouse explorer.
* All the semantic models and reports for the Research division must use version control that supports branching Data Preparation Requirements Contoso identifies the following data preparation requirements:
* The Research division data for Producthne2 must be retrieved from Lakehouset by using Fabric notebooks.
* All the Research division data in the lakehouses must be presented as managed tables in Lakehouse explorer.
Semantic Model Requirements
Contoso identifies the following requirements for implementing and managing semantic models;
* The number of rows added to the Orders table during refreshes must be minimized.
* The semantic models in the Research division workspaces must use Direct Lake mode.
General Requirements
Contoso identifies the following high-level requirements that must be considered for all solutions:
* Follow the principle of least privilege when applicable
* Minimize implementation and maintenance effort when possible.
질문 # 189
Hotspot Question
You have a Fabric warehouse named Warehouse1 that contains a table named TaxiTrips.
TaxiTrips contains the following columns.
You need to create a query that shows the top three taxi companies based on the total miles traveled.
How should you complete the T-SQL statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
정답:
설명:
Explanation:
Box 1: Top (3)
TOP (Transact-SQL)
Limits the rows returned in a query result set to a specified number of rows or percentage of rows in SQL Server. When you use TOP with the ORDER BY clause, the result set is limited to the first n number of ordered rows. Otherwise, TOP returns the first n number of rows in an undefined order.
Box 2: GROUP BY company
We want to group by taxi companies, to use the sum of trip distances for each company.
Note: SUM() is a SQL aggregate function that computes the sum of the given values. GROUP BY is a SQL clause that partitions rows into groups and computes a stated aggregate function for each group. Using these two functions together, you can compute total sums for a group of rows.
Box 3: ORDER BY sum(tripDistance)
We sort by the sum of the tripDistance in descending order.
Reference:
https://learn.microsoft.com/en-us/sql/t-sql/queries/top-transact-sql
https://learn.microsoft.com/en-us/sql/t-sql/queries/select-group-by-transact-sql
질문 # 190
Case Study 1 - Contoso
Overview
Contoso, Ltd. is a US-based health supplements company. Contoso has two divisions named Sales and Research. The Sales division contains two departments named Online Sales and Retail Sales. The Research division assigns internally developed product lines to individual teams of researchers and analysts.
Existing Environment
Identity Environment
Contoso has a Microsoft Entra tenant named contoso.com. The tenant contains two groups named ResearchReviewersGroup1 and ResearchReviewersGroup2.
Data Environment
Contoso has the following data environment:
- The Sales division uses a Microsoft Power BI Premium capacity.
- The semantic model of the Online Sales department includes a fact table named Orders that uses Import made. In the system of origin, the OrderID value represents the sequence in which orders are created.
- The Research department uses an on-premises, third-party data warehousing product.
- Fabric is enabled for contoso.com.
- An Azure Data Lake Storage Gen2 storage account named storage1 contains Research division data for a product line named Productline1. - The data is in the delta format.
- A Data Lake Storage Gen2 storage account named storage2 contains Research division data for a product line named Productline2. The data is in the CSV format.
Requirements
Planned Changes
Contoso plans to make the following changes:
- Enable support for Fabric in the Power BI Premium capacity used by the Sales division.
- Make all the data for the Sales division and the Research division available in Fabric.
- For the Research division, create two Fabric workspaces named Productline1ws and Productine2ws.
- In Productline1ws, create a lakehouse named Lakehouse1.
- In Lakehouse1, create a shortcut to storage1 named ResearchProduct.
Data Analytics Requirements
Contoso identifies the following data analytics requirements:
- All the workspaces for the Sales division and the Research division must support all Fabric experiences.
- The Research division workspaces must use a dedicated, on-demand capacity that has per- minute billing.
- The Research division workspaces must be grouped together logically to support OneLake data hub filtering based on the department name.
- For the Research division workspaces, the members of ResearchReviewersGroup1 must be able to read lakehouse and warehouse data and shortcuts by using SQL endpoints.
- For the Research division workspaces, the members of ResearchReviewersGroup2 must be able to read lakehouse data by using Lakehouse explorer.
- All the semantic models and reports for the Research division must use version control that supports branching.
Data Preparation Requirements
Contoso identifies the following data preparation requirements:
- The Research division data for Productline1 must be retrieved from Lakehouse1 by using Fabric notebooks.
- All the Research division data in the lakehouses must be presented as managed tables in Lakehouse explorer.
Semantic Model Requirements
Contoso identifies the following requirements for implementing and managing semantic models:
- The number of rows added to the Orders table during refreshes must be minimized.
- The semantic models in the Research division workspaces must use Direct Lake mode.
General Requirements
Contoso identifies the following high-level requirements that must be considered for all solutions:
- Follow the principle of least privilege when applicable.
- Minimize implementation and maintenance effort when possible.
You need to recommend which type of Fabric capacity SKU meets the data analytics requirements for the Research division.
What should you recommend?
정답:C
설명:
The Research division workspaces must use a dedicated, on-demand capacity that has per- minute billing.
질문 # 191
You have a Fabric tenant that contains a complex semantic model. The model is based on a star schema and contains many tables, including a fact table named Sales. You need to create a diagram of the model. The diagram must contain only the Sales table and related tables. What should you use from Microsoft Power Bl Desktop?
정답:A
질문 # 192
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퍼펙트한Microsoft DP-600시험대비덤프자료는 Fast2test가 전문입니다. Microsoft DP-600덤프를 다운받아 가장 쉬운 시험준비를 하여 한방에 패스가는것입니다. 다같이 Microsoft DP-600덤프로 시험패스에 주문걸어 보아요. 마술처럼Microsoft DP-600시험합격이 실현될것입니다.
DP-600덤프공부자료: https://kr.fast2test.com/DP-600-premium-file.html
그 외, Fast2test DP-600 시험 문제집 일부가 지금은 무료입니다: https://drive.google.com/open?id=1j6symjMRwZ3VRjIJt53_NWoGm1DOPJYS