PL-300 Microsoft Power BI Data Analyst is a new Microsoft exam replacement of DA-100 exam, after passing this PL-300 exam, you will earn the Microsoft Certified: Power BI Data Analyst Associate Certification. PassQuestion new released PL-300 Practice Test Questions according to the syllabus of the Microsoft PL-300 test for your best preparation. You will get the questions and answers in the PL-300 Practice Test Questions that belong to the actual format of the Microsoft PL-300 exam. You will get the relevant questions and answers from all the topics of the Microsoft PL-300 Exam that are 100% valid to use for the PL-300 exam preparation. After studying our PL-300 Practice Test Questions, you will be able to pass your PL-300 Microsoft Power BI Data Analyst exam successfully in your first attempt.

Microsoft Power BI Data Analyst PL-300 Replacement of DA-100 Exam

The PL-300 exam is part of Microsoft's new role-based certification program and is required to gain the Power BI Data Analyst Associate certification. PL-300 replaces DA-100 Analyzing Data with Microsoft.The exam PL-300: Microsoft Power BI Data Analyst tests your knowledge of Power BI concepts. This certification is for you if you are able to:

• Deliver actionable insights by making use of the data available and implementing domain expertise.
• Work along with key stakeholders across verticals to recognize business requirements.
• Clean, transform, design, and build the data using Power BI.
• Dispense meaningful business value via easy-to-understand Data Visualisations.
• Allow and support in performing Self-service Analytics.
• Configure and Deploy Solutions.

On February 28, 2022, Microsoft released a new data analyst certification called Microsoft Certified: Power BI Data Analyst Associate. This new certification replaces the Microsoft Certified: Data Analyst Associate certification. The DA-100: Analyzing Data with Microsoft Power BI exam will be getting expired by 31st, March 2022. Microsoft has replaced it with a new exam, that is, PL-300: Microsoft Power BI Data Analyst. After passing this exam, you will earn the badge of Microsoft Certified: Power BI Data Analyst Associate. The Microsoft Certified: Data Analyst Associate certification will be renamed PL-300: Microsoft Power BI Data Analyst on February 28, 2022.

Exam Information

Number of Questions: 40-60
Exam Duration: 180 minutes
Pass Score； 700/1000
Exam Fee: 165 USD
Exam Format: Multiple Choice,Drag and Drop,Case studies,Multiple Response
Language: English
Exam Validity: 1 Year

Exam Topics and Objectives

• Prepare the data (15-20%)
• Model the data (30-35%)
• Visualize and analyze the data (25-30%)
• Deploy and maintain assets (20-25%)

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