What you'll learn
A Practice Test with 150 plus questions. These questions are designed by experts on basis of latest exam questions.
This practice test includes different types of questions multiple choice , scenario based, use case based. These questions are drafted on each topics asked in Microsoft DA-100 Exam
Requirements
Knowledge of Power BI Tool, Basic Analytics Exposure, Familiar to BI and Reporting.
Description
Added New Question in Oct 2021 and updated with e-books to learn Power BI and prepare for the exam.
UPDATED In Sep-2021 Latest Questions from Student Experience
- Designed to give a detailed classification of Microsoft DA - 100 Examination. The course explains each and every section of the certification exam.
- The practice test includes latest topics added and most relevant use case question scenarios. The questions are designed and drafted by experts.
- Each and every question is answered in detail and the enrolled students can get URL to Microsoft documentation pages and trusted blogs to study each topics in detail.
- The only practice test with case study based real- questions explained with proper answer and solution.
- 20 Plus Case Study questionnaires. These are real- based questions drafted to test competency to provide best BI solutions using Power BI platform.
- The questions are refined with latest syllabus & technology updates in Power BI eco-systems.
- Below are different topics covered in the practice sets:
Microsoft DAX language;
Microsoft Power Query features;
Data Modeling in Power BI;
Data Visualization in Power BI;
Manage Publishing and Sharing Power BI contents;
Manage Power BI Administration settings.
Prepare the Data (20-25%)
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
choose an appropriate query type
identify query performance issues
use Microsoft Dataverse
use parameters
use or create a PBIDS file
use or create a data flow
Profile the data
identify data anomalies
examine data structures
interrogate column properties
interrogate data statistics
Clean, transform and load the data
resolve inconsistencies, unexpected or null values, and data quality issues
apply user-friendly value replacements
identify and create appropriate keys for joins
evaluate and transform column data types
apply data shape transformations to table structures
combine queries
apply user-friendly naming conventions to columns and queries
leverage Advanced Editor to modify Power Query M code
configure data loading
resolve data import errors
Model the Data (25-30%)
Design a data model
define the tables
configure table and column properties
define quick measures
flatten out a parent-child hierarchy
define role-playing dimensions
define a relationship's cardinality and cross-filter direction
design the data model to meet performance requirements
resolve many-to-many relationships
create a common date table
define the appropriate level of data granularity
Develop a data model
apply cross-filter direction and security filtering
create calculated tables
create hierarchies
create calculated columns
implement row-level security roles
set up the Q&A feature
Create measures by using DAX
use DAX to build complex measures
use CALCULATE to manipulate filters
implement Intelligence using DAX
replace numeric columns with measures
use basic statistical functions to enhance data
create semi-additive measures
Optimize model performance
remove unnecessary rows and columns
identify poorly perfog measures, relationships, and visuals
improve cardinality levels by chag data types
improve cardinality levels through summarization
create and manage aggregations
Visualize the Data (20-25%)
Create reports
add visualization items to reports
choose an appropriate visualization type
format and configure visualizations
import a custom visual
configure conditional formatting
apply slicing and filtering
add an R or Python visual
configure the report page
design and configure for accessibility
configure automatic page refresh
Create dashboards
set mobile view
manage tiles on a dashboard
configure data alerts
use the Q&A feature
add a dashboard theme
pin a live report page to a dashboard
configure data classification
Enrich reports for usability
configure bookmarks
create custom tooltips
edit and configure interactions between visuals
configure navigation for a report
apply sorting
configure Sync Slicers
use the selection pane
use drillthrough and cross filter
drilldown into data using interactive visuals
export report data
design reports for mobile devices
Analyze the Data (10-15%)
Enhance reports to expose insights
apply conditional formatting
apply slicers and filters
perform top N analysis
explore statistical summary
use the Q&A visual
add a Quick Insights result to a report
create reference lines by using the Analytics pane
use the Play Axis feature of a visualization
personalize visuals
Perform advanced analysis
identify outliers
conduct Series analysis
use groupings and binnings
use the Key Influencers to explore dimensional variances
use the decomposition tree visual to break down a measure
apply AI Insights
Deploy and Maintain Deliverables (10-15%)
Manage datasets
configure a dataset scheduled refresh
configure row-level security group membership
providing access to datasets
configure incremental refresh settings
promote or certify Power BI content
identify downstream dataset dependencies
Create and manage workspaces
create and configure a workspace
recommend a development lifecycle strategy
assign workspace roles
configure and update a workspace app
publish, import, or update assets in a workspace
apply sensitivity labels to workspace content
use deployment pipelines
Who this course is for:
Data Analyst, Software Developer, Computer Graduates, Data Eeer, Data Scientists, BI Developer




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