Microsoft Power BI Data Analyst PL-300 Dumps Replacement of DA-100 Exam
April 07,2022
Microsoft has recently changed DA-100 to PL-300 exam and it is considered as medium difficulty of all the microsoft exams. Good preparation is needed in order clear the exam in 1st attempt. Passcert new released the latest Microsoft Power BI Data Analyst PL-300 Dumps according to the syllabus of the Microsoft PL-300 test. You will enjoy the best learning experience with the Passcert learning material. You will get the questions and answers in the Microsoft Power BI Data Analyst PL-300 Dumps 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. Try now and start your preparation to pass the PL-300 Microsoft Power BI Data Analyst exam with excellent marks.

Exam PL-300: Microsoft Power BI Data Analyst
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.
Passing the PL-300 exam is your ticket to earning the title of Microsoft Certified: Power BI Data Analyst Associate. This Power BI certification is aimed at equipping analysts with the skill set to leverage and deploy Power BI at scale across organizations. Earning this Microsoft certification is a great option for someone seeking to advance their career as a data analyst.
The cost is $165 USD and you have 100 minutes to answer between 40-60 questions. The types of questions include multiple-choice, true/false, drag and drop, list builds, and case studies. The exam is proctored by Pearson VUE and you can take it online in the comfort of your own home or at a local testing center. To pass the exam, you must score at least 700 out of 1,000 points (70%). Finally, the certification is valid for one year.
Skills Measured
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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