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Apr 23, 2024 · Microsoft Certified: Power BI Data Analyst Associate. Demonstrate methods and best practices that align with business and technical requirements for modeling, visualizing, and analyzing data with Microsoft Power BI.
- Updates to the exam
- Skills measured as of February 6, 2024
- Change log
- Skills measured prior to February 6, 2024
Our exams are updated periodically to reflect skills that are required to perform a role. We have included two versions of the Skills Measured objectives depending on when you are taking the exam.
We always update the English language version of the exam first. Some exams are localized into other languages, and those are updated approximately eight weeks after the English version is updated. Although Microsoft makes every effort to update localized versions as noted, there may be times when the localized versions of an exam are not updated on this schedule. Other available languages are listed in the Schedule Exam section of the Exam Details webpage. If the exam isn't available in your preferred language, you can request an additional 30 minutes to complete the exam.
Note
The bullets that follow each of the skills measured are intended to illustrate how we are assessing that skill. Related topics may be covered in the exam.
Note
Most questions cover features that are general availability (GA). The exam may contain questions on Preview features if those features are commonly used.
Audience profile
As a candidate for this exam, you should deliver actionable insights by working with available data and applying domain expertise. You should: •Provide meaningful business value through easy-to-comprehend data visualizations. •Enable others to perform self-service analytics. •Deploy and configure solutions for consumption. As a Power BI data analyst, you work closely with business stakeholders to identify business requirements. You collaborate with enterprise data analysts and data engineers to identify and acquire data. You use Power BI to: •Transform the data. •Create data models. •Visualize data. •Share assets.
Skills at a glance
•Prepare the data (25–30%) •Model the data (25–30%) •Visualize and analyze the data (25–30%) •Deploy and maintain items (15–20%)
Prepare the data (25–30%)
Get data from data sources •Identify and connect to a data source •Change data source settings, including credentials, privacy levels, and data source locations •Select a shared semantic model, or create a local data model •Choose between DirectQuery, Import, and Dual mode •Change the value in a parameter Clean the data •Evaluate data, including data statistics and column properties •Resolve inconsistencies, unexpected or null values, and data quality issues •Resolve data import errors Transform and load the data •Select appropriate column data types •Create and transform columns •Transform a query •Design a star schema that contains facts and dimensions •Identify when to use reference or duplicate queries and the resulting impact •Merge and append queries •Identify and create appropriate keys for relationships •Configure data loading for queries Get data from data sources •Identify and connect to a data source •Change data source settings, including credentials, privacy levels, and data source locations •Select a shared semantic model, or create a local data model •Choose between DirectQuery, Import, and Dual mode •Change the value in a parameter
Key to understanding the table: The topic groups (also known as functional groups) are in bold typeface followed by the objectives within each group. The table is a comparison between the two versions of the exam skills measured and the third column describes the extent of the changes.
Audience profile
As a candidate for this exam, you should deliver actionable insights by working with available data and applying domain expertise. You should: •Provide meaningful business value through easy-to-comprehend data visualizations. •Enable others to perform self-service analytics. •Deploy and configure solutions for consumption. As a Power BI data analyst, you work closely with business stakeholders to identify business requirements. You collaborate with enterprise data analysts and data engineers to identify and acquire data. You use Power BI to: •Transform the data. •Create data models. •Visualize data. •Share assets.
Skills at a glance
•Prepare the data (25–30%) •Model the data (25–30%) •Visualize and analyze the data (25–30%) •Deploy and maintain assets (15–20%)
Prepare the data (25–30%)
Get data from data sources •Identify and connect to a data source •Change data source settings, including credentials, privacy levels, and data source locations •Select a shared dataset, or create a local dataset •Choose between DirectQuery, Import, and Dual mode •Change the value in a parameter Transform and load the data •Select appropriate column data types •Create and transform columns •Transform a query •Design a star schema that contains facts and dimensions •Identify when to use reference or duplicate queries and the resulting impact •Merge and append queries •Identify and create appropriate keys for relationships •Configure data loading for queries Clean the data •Evaluate data, including data statistics and column properties •Resolve inconsistencies, unexpected or null values, and data quality issues •Resolve data import errors Get data from data sources •Identify and connect to a data source •Change data source settings, including credentials, privacy levels, and data source locations •Select a shared dataset, or create a local dataset •Choose between DirectQuery, Import, and Dual mode •Change the value in a parameter
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