Analyzing Data with Microsoft Power BI (DA-100) Practice Exam

Analyzing Data with Microsoft Power BI (DA-100) Practice Exam

About Analyzing Data with Microsoft Power BI (DA-100) Exam

The Microsoft DA-100 exam enables Data Analysts to maximize the value of their data assets by using Microsoft Power BI. As a Data Analyst, your role will be to enable businesses to maximize the value of their data assets using Microsoft Power BI. Being subject matter expert, as a Data Analyst, you will be responsible to perform the following tasks -

• Designing and building scalable data models
• Cleaning and transforming data
• Enabling advanced analytic capabilities to provide meaningful business value using easy-to-comprehend data visualizations.

Also, as Data Analysts, you will be required to associate with key stakeholders across verticals to deliver relevant insights based on identified business requirements.

Recommended Knowledge

As a Data Analyst, it is suggested to have a fundamental understanding of data repositories and data processing both on-premises and in the cloud.

Skills Acquired

The Analyzing Data with Microsoft Power BI (DA-100) Exam has been built to measure your ability to accomplish technical tasks including - 

• Preparing the data
• Modelling the data
• Visualizing the data
• Analyzing the data
• Deploying and maintain deliverables

Course Outline

The Analyzing Data with Microsoft Power BI (DA-100) Exam covers the updated topics - 

Domain 1 - Prepare the Data (20-25%)

1.1 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 the Microsoft Dataverse
• use parameters
• use or create a PBIDS file
• use or create a data flow 
• connect to a dataset using the XMLA endpoint
  

1.2 Profile the data

• identify data anomalies
• examine data structures
• interrogate column properties
• interrogate data statistics

1.3 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

Domain 2 - Model the Data (25-30%)

2.1 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
• apply or change sensitivity labels
  

2.2 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

2.3 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

2.4 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

Domain 3 - Visualize the Data (20-25%)

3.1 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
• add a Smart Narrative visual
  
• configure the report page
• design and configure for accessibility
• configure automatic page refresh
• create a paginated report

3.2 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

3.3 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 drill through and cross filter
• drill down into data using interactive visuals
• export report data

Domain 4. Analyze the Data (10-15%)

4.1 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 Analytics pane
• use the Play Axis feature of a visualization
• personalize visuals
  

4.2 Perform advanced analysis

• identify outliers
• conduct Time Series analysis
• use anomaly detection
  
• 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

Domain 5 - Deploy and Maintain Deliverables (10-15%)

5.1 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 datasets
• identify downstream dataset dependencies
• configure large dataset format

5.2 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
• configure subscriptions
• promote or certify Power BI content
  

What do we offer?

• Full-length mock test with unique questions in each test set
• Practice objective questions with section-wise scores
• In-depth and exhaustive explanation for every question
• Reliable exam reports evaluating strengths and weaknesses
• Latest Questions with an updated version
• Tips & Tricks to crack the test
• Unlimited access

What are our Practice Exams?

• Practice exams have been designed by professionals and domain experts that simulate exam scenario.
• Practice exam questions have been created on the basis of content outlined in the official documentation.
• Each set in the practice exam contains unique questions built with the intent to provide real-time experience to the candidates as well as gain more confidence during exam preparation.
• Practice exams help to self-evaluate against the exam content and work towards building strength to clear the exam.
• You can also create your own practice exam based on your choice and preference 

100% Assured Test Pass Guarantee