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Microsoft DA-100: 2021 New Master Practice Test- 100 % Pass

Microsoft DA-100: 2021 New Master Practice Test- 100 % Pass

Price: $29.99

– 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-time questions explained with proper answer and solution.

– 20 Plus Case Study questionnaires. These are real-time 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 Time 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 performing measures, relationships, and visuals

  • improve cardinality levels by changing 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 Time 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


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