Analyzing Data with Microsoft Power BI (MCA Data Analyst) Exam Syllabus

Analyzing Data with Microsoft Power BI PDF, DA-100 Dumps, DA-100 PDF, Analyzing Data with Microsoft Power BI VCE, DA-100 Questions PDF, Microsoft DA-100 VCE, Microsoft MCA Data Analyst Dumps, Microsoft MCA Data Analyst PDFUse this quick start guide to collect all the information about Analyzing Data with Microsoft Power BI (DA-100) Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the DA-100 Analyzing Data with Microsoft Power BI exam. The Sample Questions will help you identify the type and difficulty level of the questions and the Practice Exams will make you familiar with the format and environment of an exam. You should refer this guide carefully before attempting your actual Microsoft MCA Data Analyst certification exam.

The Analyzing Data with Microsoft Power BI certification is mainly targeted to those candidates who want to build their career in Microsoft Power BI domain. The Microsoft Certified - Data Analyst Associate exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of Microsoft MCA Data Analyst.

Analyzing Data with Microsoft Power BI Exam Summary:

Exam Name Microsoft Certified - Data Analyst Associate
Exam Code DA-100
Exam Price $165 (USD)
Duration 180 mins
Number of Questions 40-60
Passing Score 700 / 1000
Books / Training DA-100T00-A: Analyzing Data with Power BI
Schedule Exam Pearson VUE
Sample Questions Analyzing Data with Microsoft Power BI Sample Questions
Practice Exam Microsoft DA-100 Certification Practice Exam

Microsoft DA-100 Exam Syllabus Topics:

Topic Details

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
- connect to a dataset using the XMLA endpoint
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 a paginated report
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
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 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
- provide access to datasets
- configure incremental refresh settings
- promote or certify Power BI datasets
- identify downstream dataset dependencies
- configure large dataset format
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

To ensure success in Microsoft MCA Data Analyst certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for Analyzing Data with Microsoft Power BI (DA-100) exam.

Rating: 5 / 5 (34 votes)