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Most Recent Microsoft DP-500 Exam Questions & Answers
Prepare for the Microsoft Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.
QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Microsoft DP-500 exam and achieve success.
The questions for DP-500 were last updated on Nov 20, 2024.
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You need to recommend a solution for the analysts in the Finance and Accounting business unit to mitigate the increase in maintenance of their assets in the Power Bl tenant.
Which two actions should you recommend? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
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 are using an Azure Synapse Analytics serverless SQL pool to query a collection of Apache Parquet files by using automatic schema inference. The files contain more than 40 million rows of UTF-8-encoded business names, survey names, and participant counts. The database is configured to use the default collation.
The queries use open row set and infer the schema shown in the following table.
You need to recommend changes to the queries to reduce I/O reads and tempdb usage.
Solution: You recommend defining a data source and view for the Parquet files. You recommend updating the query to use the view.
Does this meet the goal?
Solution: You recommend using OPENROWSET WITH to explicitly specify the maximum length for businessName and surveyName.
The size of the varchar(8000) columns are too big. Better reduce their size.
A SELECT...FROM OPENROWSET(BULK...) statement queries the data in a file directly, without importing the data into a table. SELECT...FROM OPENROWSET(BULK...) statements can also list bulk-column aliases by using a format file to specify column names, and also data types.
You have an Azure Synapse Analytics notebook.
You run the xxsq1 magic command to render data into an Apache Spark DataFrame named df1, and then you run the following code.
display (df1, summary = true)
Which three attributes will be returned by the command? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
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 Power Bl Premium capacity.
From the Power Bl Premium Capacity Metrics app, you discover the following:
* There is insufficient CPU to execute dataset refreshes.
* Out-of-memory throttling occurs when the dataset is waiting.
You need to recommend a solution to resolve the performance issues.
Solution: You move the datasets to a larger capacity.
Does this meet the goal?
You are optimizing a Power Bl data model by using DAX Studio.
You need to capture the query events generated by a Power Bl Desktop report.
What should you use?
The All Queries trace in Dax Studio supports capturing the query events from all client tools (not just queries sent from DAX Studio like the Query Plan and Server Timings features do). The 'All Queries'' trace is really useful when you wish to see the queries that are generated by a client tool like Power BI Desktop.
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