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DP-600ガイドの質問は、多くの利点とさまざまな機能を後押しします。購入前にDP-600試験問題を無料でダウンロードして試用することができます。購入手続きは簡単で迅速です。 DP-600試験問題を数分で受け取ることができます。選択できる3つのバージョンがあります。 DP-600試験の急流を学び、試験の準備をする時間はほとんど必要ありません。合格率とヒット率は非常に高いです。 DP-600試験に合格すると、大企業に入社して賃金を2倍にするなど、多くのメリットが得られます。

Microsoft DP-600 認定試験の出題範囲：

トピック出題範囲
トピック 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.
トピック 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.
トピック 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.

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Microsoft Implementing Analytics Solutions Using Microsoft Fabric 認定 DP-600 試験問題 (Q95-Q100):

質問 # 95
You have the following KQL query.

For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

正解：

解説：

Explanation:

We are analyzing this KQL query:
Sales
| where Status != "Cancelled"
| where OrderDate >= ago(30d)
| summarize TotalSales = sum(SalesAmount) by ProductCategory
| where TotalSales > 0
Statement 1:
"The query excludes sales that have a Status of Cancelled."
Yes # where Status != "Cancelled" filters them out.
Statement 2:
"The query calculates the total sales of each product category for the last 30 days." Yes # where OrderDate >= ago(30d) ensures only last 30 days.
summarize TotalSales = sum(SalesAmount) by ProductCategory groups by category.
Statement 3:
"The query includes product categories that have had zero sales during the last 30 days." No # The final filter where TotalSales > 0 excludes categories with zero sales.
Final Answer:
Excludes Cancelled sales # Yes
Calculates total sales by product category for last 30 days # Yes
Includes product categories with zero sales # No
References:
KQL where operator
KQL summarize operator


質問 # 96
Drag and Drop Question
You are building a solution by using a Fabric notebook.
You have a Spark DataFrame assigned to a variable named df. The DataFrame returns four columns.
You need to change the data type of a string column named Age to integer. The solution must return a DataFrame that includes all the columns.
How should you complete the code? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

正解：

解説：


質問 # 97
You have Fabric tenant.
You need to create a sematic model that delivers fast report rendering, minimizes query latency, and maximizes flexibility for DAX calculations.
Which storage mode should you select?

正解：C


質問 # 98
You have a Microsoft Power Bl semantic model.
You need to identify any surrogate key columns in the model that have the Summarize By property set to a value other than to None. The solution must minimize effort.
What should you use?

正解：A

解説：
To identify surrogate key columns with the "Summarize By" property set to a value other than "None," the Best Practice Analyzer in Tabular Editor is the most efficient tool. The Best Practice Analyzer can analyze the entire model and provide a report on all columns that do not meet a specified best practice, such as having the
"Summarize By" property set correctly for surrogate key columns. Here's how you would proceed:
* Open your Power BI model in Tabular Editor.
* Go to the Advanced Scripting window.
* Write or use an existing script that checks the "Summarize By" property of each column.
* Execute the script to get a report on the surrogate key columns that do not have their "Summarize By" property set to "None".
* You can then review and adjust the properties of the columns directly within the Tabular Editor.
References: The functionality of the Best Practice Analyzer in Tabular Editor is documented in the community and learning resources for Power BI.


質問 # 99
You have a Fabric tenant.
You plan to create a data pipeline named Pipeline1. Pipeline1 will include two activities that will execute in sequence.
You need to ensure that a failure of the first activity will NOT block the second activity.
Which conditional path should you configure between the first activity and the second activity?

正解：B


質問 # 100
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