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This exam measures your ability to accomplish the following technical tasks: prepare the data; model the data; visualize and analyze the data; and deploy and maintain assets.
Introduction of Microsoft PL-300 Exam
Microsoft offers a wide range of certifications to enhance your knowledge in various areas of IT. The Microsoft Power BI Data Analyst Certification Exam is one of the most popular and sought-after Microsoft certification exams which aims to develop your skills as a data analyst by providing you with an opportunity to learn about basic business intelligence concepts, data analysis techniques and tools that can be used for building data models. Microsoft PL-300 Dumps are the best way to pass your exam.
The Microsoft certification exams enable you to validate your knowledge and skills in the system. If you have a job, it helps you to get promoted. The certification is a must-have for IT professionals. Microsoft Power BI Data Analyst Certification Exam is an exam designed by Microsoft for data analysts who are interested in gaining knowledge of the Microsoft Azure cloud platform and Power BI suite tools. The exam tests your ability to design, develop, and implement analytical solutions using Excel, Power Pivot, Power View and other related tools.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-300
Microsoft PL-300 Exam Syllabus Topics:
| Topic | Details |
|---|---|
Prepare the Data (15-20%) | |
| Get data from different data sources | - identify and connect to a data source - change data source settings - select a shared dataset or create a local dataset - select a storage mode - use Microsoft Dataverse - change the value in a parameter - connect to a data flow |
| Clean, transform, and load the data | - profile the data - resolve inconsistencies, unexpected or null values, and data quality issues - identify and create appropriate keys for joins - evaluate and transform column data types - shape and transform tables - combine queries - apply user-friendly naming conventions to columns and queries - configure data loading - resolve data import errors |
Model the Data (30-35%) | |
| Design a data model | - define the tables - configure table and column properties - design and implement role-playing dimensions - define a relationship's cardinality and cross-filter direction - design a data model that uses a star schema - create a common date table |
| Develop a data model | - create calculated tables - create hierarchies - create calculated columns - implement row-level security roles - use the Q&A feature |
| Create model calculations by using DAX | - create basic measures by using DAX - use CALCULATE to manipulate filters - implement Time Intelligence using DAX - replace implicit measures with explicit measures - use basic statistical functions - create semi-additive measures - use quick measures |
| Optimize model performance | - remove unnecessary rows and columns - identify poorly performing measures, relationships, and visuals - reduce cardinality levels to improve performance |
Visualize and Analyze the Data (25-30%) | |
| Create reports | - add visualization items to reports - choose an appropriate visualization type - format and configure visualizations - use a custom visual - apply and customize a theme - configure conditional formatting - apply slicing and filtering - configure the report page - use the Analyze in Excel feature - choose when to use a paginated report |
| Create dashboards | - manage tiles on a dashboard - configure mobile view - use the Q&A feature - add a Quick Insights result to a dashboard - apply a dashboard theme - pin a live report page to a dashboard |
| Enhance reports for usability and storytelling | - configure bookmarks - create custom tooltips - edit and configure interactions between visuals - configure navigation for a report - apply sorting - configure Sync Slicers - group and layer visuals by using the selection pane - drilldown into data using interactive visuals - export report data - design reports for mobile devices |
| Identify patterns and trends | - use the Analyze feature in Power BI - identify outliers - choose between continuous and categorical axes - use groupings, binnings, and clustering - use AI visuals - use the Forecast feature - create reference lines by using the Analytics pane |
Deploy and Maintain Assets (20-25%) | |
| Manage files and datasets | - identify when a gateway is required - configure a dataset scheduled refresh - configure row-level security group membership - provide access to datasets - manage global options for files |
| Manage workspaces | - create and configure a workspace - assign workspace roles - configure and update a workspace app - publish, import, or update assets in a workspace - apply sensitivity labels to workspace content - configure subscriptions and data alerts - promote or certify Power BI content |
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Why Microsoft Power BI Data Analyst Certification Exam is so difficult
No matter how many times you take the Microsoft Power BI Data Analyst Certification Exam, you will never be able to finish it. This is because the exam is designed to be as difficult as possible. When you first sit down and begin answering questions, you may feel like there are a lot of easy ones. This is just part of the test's strategy. they want to make sure that you think everything's going smoothly, so that when they throw in a difficult question later on, it will be much harder for you to answer.
The Microsoft certification exams are considered to be the toughest in the industry. This is because of the fact that if you have passed one of these exams, then it means that you have gone through a tough time and have shown that you are capable enough to handle any situation. Microsoft Power BI Data Analyst Certification Exam is designed to give you a hard time. It won't let up until you finally give up entirely and surrender your certification. RealVCE Microsoft PL-300 Dumps are the only way to pass your exam and get certified in your first attempt.
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Microsoft Power BI Data Analyst Sample Questions:
You plan to generate a line chart to visualize and compare the last six You need to Increase the accessibility of the visual. What should you do?
- A. Configure a distinct color for each series.
- B. Configure a unique marker for each series
- C. Replace long text with abbreviation and acronyms.
- D. Move important Information to a tooltip.
Correct Answer: B 🗳️
Explanation: Only visible for RealVCE members. You can sign-up / login (it's free).
You create a Power BI semantic model that contains the table shown in the following exhibit.
You need to make the table available as an organizational data type In Microsoft Excel.
How should you configure the properties of the table? To answer select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
The selections in the retained answer exhibit are the verified configuration. An organizational data type requires a featured table with a key column and a row label. Those table properties give Excel a unique lookup field and the human-readable value it should display. What determines the answer is the need to make the table available as an organizational data type In Microsoft Excel. Changing a visual alone does not assign semantic meaning to a field, and changing the underlying values is unnecessary when a model property supplies the required behavior. For exam alignment, this is assessed under " Configure table and column properties " in the current study guide.
Microsoft Learn reference: https://learn.microsoft.com/en-us/power-bi/transform-model/desktop-data- categorization | PL-300 objective: " Configure table and column properties " | Study guide: https://learn.
microsoft.com/en-us/credentials/certifications/resources/study-guides/pl-300
You have sales data in a star schema that contains four tables named Sales, Customer, Date, and Product.
The Sales table contains purchase and ship dates.
Most often, you will use the purchase date to analyze the data, but you will analyze the data by both dates independently and together.
You need to design an imported semantic model to support the analysis. The solution must minimize the model size and the number of queries against the data source.
Which data modeling design should you use?
- A. Create an active relationship between Sales and Date for the purchase date and an inactive relationship for the ship date.
- B. Use the Auto Date/Time functionality in Microsoft Power BI and do NOT import the Date table.
- C. On the Date table, use a reference query in Power Query and create active relationships between Sales and both Date tables in the modeling view.
- D. Duplicate the Date query in Power Query and use active relationships between both Date tables.
Correct Answer: C 🗳️
Explanation: Only visible for RealVCE members. You can sign-up / login (it's free).
You open a query in Power Query Editor.
You need to identify the percentage of empty values in each column as quickly as possible.
Which Data Preview option should you select?
- A. Column distribution
- B. Column quality
- C. Show whitespace
- D. Column profile
Correct Answer: B 🗳️
Explanation: Only visible for RealVCE members. You can sign-up / login (it's free).
You create a Fabric workspace named Workspace!.
You publish a semantic model and a report to Workspace!.
You need to configure Workspace! to meet the following requirements;
; Provide access to a group named Sales.
; Ensure that Sales can invite other users to Workspace!.
; Follow the principle of least privilege.
Which role should you assign to Sales?
- A. Contributor
- B. Member
- C. Admin
- D. Viewer
Correct Answer: B 🗳️
Explanation: Only visible for RealVCE members. You can sign-up / login (it's free).
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