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| Section | Objectives |
|---|---|
| Real-time analytics | - Streaming and event processing
|
| Implement data engineering solutions | - Lakehouse architecture
|
| Get data into Microsoft Fabric | - Data ingestion and integration
|
| Implement analytics solutions | - Data warehousing and modeling
|
| Manage and secure Microsoft Fabric | - Governance and administration
|
私はあなたがDP-600試験に合格したいことを知っています。 私たちのDP-600学習教材は、多くの人が試験に合格するのを助け、あなたを助けようと思います。私たちのDP-600学習教材の99％の合格率は高いです。また、あなたの自分の努力が必要です。 そして、私たちのDP-600試験問題を利用すれば、あなたは絶対試験に合格できます。
質問 # 113
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Fabric tenant that contains a semantic model named Model1.
You discover that the following query performs slowly against Model1.
You need to reduce the execution time of the query.
Solution: You replace line 4 by using the following code:
Does this meet the goal?
正解：A
質問 # 114
You have a Microsoft Power BI semantic model that contains measures. The measures use multiple CALCULATE functions and a FILTER function.
You are evaluating the performance of the measures.
In which use case will replacing the FILTER function with the KEEPFILTERS function reduce execution time?
正解：C
解説：
https://learn.microsoft.com/en-us/dax/best-practices/dax-avoid-avoid-filter-as-filter-argument FILTER returns a table whereas KEEPFILTERS returns a Boolean. So, A, B and C are limitations of uses of Boolean expressions.
質問 # 115
Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals.
More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem.
After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.
Your network contains an on-premises Active Directory Domain Services (AD DS) domain named contoso.
com that syncs with a Microsoft Entra tenant by using Microsoft Entra Connect.
You have a Fabric tenant that contains a semantic model.
You enable dynamic row-level security (RLS) for the model and deploy the model to the Fabric service.
You query a measure that includes the username () function, and the query returns a blank result.
You need to ensure that the measure returns the user principal name (UPN) of a user.
Solution: You update the measure to use the USEROBJECT () function.
Does this meet the goal?
正解：A
質問 # 116
You have a Fabric tenant that contains a lakehouse named Lakehouse1. Lakehouse1 contains a table named Nyctaxi_raw. Nyctaxi_raw contains the following columns.
You create a Fabric notebook and attach it to lakehouse1.
You need to use PySpark code to transform the data. The solution must meet the following requirements:
* Add a column named pickupDate that will contain only the date portion of pickupDateTime.
* Filter the DataFrame to include only rows where fareAmount is a positive number that is less than 100.
How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
* Add the pickupDate column: .withColumn("pickupDate", df["pickupDateTime"].cast("date"))
* Filter the DataFrame: .filter("fareAmount > 0 AND fareAmount < 100")
In PySpark, you can add a new column to a DataFrame using the .withColumn method, where the first argument is the new column name and the second argument is the expression to generate the content of the new column. Here, we use the .cast("date") function to extract only the date part from a timestamp. To filter the DataFrame, you use the .filter method with a condition that selects rows where fareAmount is greater than 0 and less than 100, thus ensuring only positive values less than 100 are included.
質問 # 117
You have a Fabric tenant that contains two lakehouses.
You are building a dataflow that will combine data from the lakehouses. The applied steps from one of the queries in the dataflow is shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic. NOTE: Each correct selection is worth one point.
正解：
解説：
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
質問 # 118
......
われわれは今の競争の激しいIT社会ではくつかIT関連認定証明書が必要だとよくわかります。IT専門知識をテストしているMicrosoftのDP-600認定試験は1つのとても重要な認証試験でございます。しかしこの試験は難しさがあって、合格率がずっと低いです。でもPass4Testの最新問題集がこの問題を解決できますよ。DP-600認定試験の真実問題と模擬練習問題があって、十分に試験に合格させることができます。
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