Microsoft DA-100 2021 Master Practice Test & Power BI Books

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-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

Who this course is for:
Data Analyst, Software Developer, Computer Graduates, Data Engineer, Data Scientists, BI Developer


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