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Schedule examLanguages: English
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This exam measures your ability to accomplish the following technical tasks: implement and manage a data analytics environment; query and transform data; implement and manage data models; and explore and visualize data.
The Prerequisite of Microsoft DP-500 ExamThe role of Azure Enterprise Data Analyst Associate is a technical role that supports development and improvement of enterprise-level analytical solutions. The Azure Enterprise Data Analyst Associate performs complex data analysis tasks, such as analyzing big data sets and configuring and maintaining the data analytics infrastructure for an organization.
This role requires expertise in both business requirements gathering and technical skills. As an enterprise data analyst, you will be required to work closely with other roles within your company, including application developers, IT administrators, project managers, and business analysts.
The Microsoft DP-500 Dumps exam is a very important exam for preparation of students who want to make their way up in the world. This exam will help you get ahead of your competitors and get a better job.
The responsibilities of an enterprise data analyst include:
The Assisting in the gathering of enterprise-level requirements for data analytics systems such as Azure and Power BI
Providing guidance on data governance and configuration settings for Power BI administration; monitoring data utilization and optimizing performance of the solution;
Executing advanced data analytics at scale, such as cleaning and transforming data, designing and building enterprise data models, incorporating advanced analytics capabilities, integrating with IT infrastructure;
Assisting in developing a solution architecture that aligns with corporate strategies; recommending improvements for existing systems; troubleshooting errors
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Exam DP-500: Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BICandidates for this exam should have advanced Power BI skills, including managing data repositories and data processing in the cloud and on-premises, along with using Power Query and Data Analysis Expressions (DAX). They should also be proficient in consuming data from Azure Synapse Analytics and should have experience querying relational databases, analyzing data by using Transact-SQL (T-SQL), and visualizing data.
Passing score: 700. Learn more about exam scores.
Part of the requirements for: Microsoft Certified: Azure Enterprise Data Analyst Associate
Microsoft Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI Sample Questions (Q36-Q41):NEW QUESTION # 36
You have a Power BI workspace named Workspace1 that contains five dataflows.
You need to configure Workspace1 to store the dataflows in an Azure Data Lake Storage Gen2 account.
What should you do first?
Answer: C
Explanation:
Configuring Azure connections is an optional setting with additional properties that can optionally be set:
* Tenant Level storage, which lets you set a default, and/or
* Workspace-level storage, which lets you specify the connection per workspace You can optionally configure tenant-level storage if you want to use a centralized data lake only, or want this to be the default option.
NEW QUESTION # 37
You need to populate the CustomersWithProductScore table.
How should you complete the stored procedure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 38
You need to create Power BI reports that will display data based on the customers' subscription level.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
1 - Create row-level security (RLS) roles
2 - Create a DAX expression.
3 - Add members to row-level security (RLS) roles
NEW QUESTION # 39
Note: This question is part of a scries 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 the Power Bl data model shown in the exhibit. (Click the Exhibit tab.)
Users indicate that when they build reports from the data model, the reports take a long time to load.
You need to recommend a solution to reduce the load times of the reports.
Solution: You recommend creating a perspective that contains the commonly used fields.
Does this meet the goal?
Answer: B
Explanation:
Instead denormalize For Performance.
Even though it might mean storing a bit of redundant data, schema denormalization can sometimes provide better query performance. The only question then becomes is the extra space used worth the performance benefit.
NEW QUESTION # 40
You have a Power Bl data model.
You need to refresh the data from the source every 15 minutes.
What should you do first?
Answer: C
Explanation:
To get to the Scheduled refresh screen:
1. In the navigation pane, under Datasets, select More options (...) next to a dataset listed.
2. Select Schedule refresh.
NEW QUESTION # 41
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