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Microsoft PL-300: What is the Best Power BI Connector for Azure DevOps Analytics to Create Bug Tracking Dashboard?

By: Author Alex Lim

Posted on

Categories Exam

Learn how to choose the right Power BI connector for Azure DevOps Analytics to create a bug tracking dashboard. Discover the key requirements and the best option for filtering data from the cloud using Analytics views.

Table of Contents

Question

You plan to use Power BI Desktop to create a bug tracking dashboard that will pull data from Analytics in Azure DevOps.

From Power BI Desktop, you need to configure a data connector to authenticate to Azure DevOps. The solution must meet the following requirements:

  • Use Analytics views.
  • Filter data from the cloud.

Which connector should you use?

A. OData queries
B. Azure DevOps (Boards only)
C. Azure DevOps Server (Boards only)
D. OData Feed

Answer

To create a bug tracking dashboard in Power BI Desktop that pulls data from Analytics in Azure DevOps, while meeting the requirements of using Analytics views and filtering data from the cloud, the best connector to use is:

A. OData queries

Explanation

OData (Open Data Protocol) queries allow you to connect to and retrieve data from Azure DevOps Analytics. When using OData queries, you can:

  1. Access Analytics views: Analytics views provide a simplified and optimized way to query data from Azure DevOps. They are designed to be used with external tools like Power BI. By using OData queries, you can directly connect to these views and leverage their pre-aggregated and filtered data.
  2. Filter data from the cloud: OData queries enable you to apply filters and query parameters to refine the data you retrieve from Azure DevOps Analytics. This allows you to filter the data directly from the cloud source, reducing the amount of data transferred and improving performance.

The other options mentioned are not suitable for this scenario:

  • B. Azure DevOps (Boards only): This connector is limited to accessing data from Azure Boards and does not support Analytics views.
  • C. Azure DevOps Server (Boards only): This connector is used for connecting to on-premises Azure DevOps Server instances and is not applicable for cloud-based Azure DevOps.
  • D. OData Feed: While OData Feed is related to OData, it is a generic term and does not specifically refer to the OData queries connector required for Azure DevOps Analytics.

In summary, to create a bug tracking dashboard in Power BI Desktop that pulls data from Analytics in Azure DevOps, using Analytics views and filtering data from the cloud, the most appropriate connector is OData queries.

Microsoft PL-300 certification exam assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Microsoft PL-300 exam and earn Microsoft PL-300 certification.