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Understanding functional and technical aspects of Exam DA-100: Analyzing Data with Microsoft Power BI Visualize the data

The following will be discussed in MICROSOFT DA-100 exam dumps:

Manage tiles on a dashboard
Use the selection pane
Add visualization items to reports
Configure the report page
Configure navigation for a report
Export report data
Add a dashboard theme
Choose an appropriate visualization type
Design and configure for accessibility
Format and configure visualizations
Configure automatic page refresh
Create custom tooltips
Use drillthrough and cross filter
Configure data classification
Configure Sync Slicers
Use the Q&A feature
Enrich reports for usability
Import a custom visual
Design reports for mobile devices
Apply sorting
Drilldown into data using interactive visuals
Create reports
Edit and configure interactions between visuals
Set mobile view
Configure bookmarks
Add an R or Python visual
Pin a live report page to a dashboard
Apply slicing and filtering
Configure conditional formatting
Configure data alerts
Create dashboards

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/da-100

What is the Microsoft DA-100 exam?

The Microsoft DA-100 exam is available in English, Japanese, Simplified Chinese, and Korean. The learners can expect 40-60 questions in the delivery of the test with the time allowance of 180 minutes. Depending on where they are taking the exam, it is available as a proctored option or at any Pearson VUE testing center. The candidates can register for this certification exam with Pearson VUE and pay the fee of $165 to schedule it. This price is established for the individuals from the United States. If you sit for the test in another country, you should check the actual price on the official website.

Microsoft DA-100日本語 Exam Syllabus Topics:

Section	Weight	Objectives
Analyze the data	15%	- Perform advanced analysis 1. Use advanced analytical custom visuals 2. Identify outliers 3. Perform What-if analysis 4. Use the Analyze feature - Enhance reports for usability and storytelling 1. Configure bookmarks 2. Configure sync slicers 3. Group and layer visuals 4. Apply sorting 5. Configure navigation for a report 6. Edit and configure interactions between visuals 7. Create custom tooltips
Visualize the data	25%	- Create reports 1. Choose an appropriate visualization type 2. Import a custom visual 3. Apply slicing and filtering 4. Create and manage bookmarks 5. Add visualization items to reports 6. Configure conditional formatting 7. Format and configure visualizations - Enforce accessibility 1. Configure tab order 2. Use accessibility features 3. Design accessible reports - Create dashboards 1. Configure data alerts 2. Manage tiles on a dashboard 3. Use the Q&A feature 4. Set mobile view
Deploy and maintain deliverables	10%	- Manage datasets 1. Configure a dataset scheduled refresh 2. Configure row-level security group membership 3. Configure cross-workspace sharing 4. Provide access to datasets - Create and manage workspaces 1. Configure and update a workspace app 2. Assign workspace roles 3. Create and configure a workspace
Model the data	30%	- Create measures by using DAX 1. Create calculated measures 2. Implement Time Intelligence using DAX 3. Create semi-additive measures 4. Use DAX logical functions 5. Use DAX aggregation functions - Optimize model performance 1. Improve performance by choosing optimal data types 2. Improve performance by identifying and removing unnecessary rows and columns 3. Optimize Power Query transformations - Design a data model 1. Define quick measures 2. Define the tables 3. Define a relationship's cross-filter direction and security filtering 4. Configure table and column properties 5. Design and implement role-playing dimensions - Develop a data model 1. Create hierarchies 2. Implement row-level security roles 3. Create calculated columns 4. Create calculated tables
Prepare the data	20%	- Get data from different data sources 1. Identify and connect to a data source 2. Select a shared dataset or create a local dataset 3. Change data source settings 4. Select a storage mode 5. Choose an appropriate Power BI data source - Transform and load the data 1. Design a star schema 2. Define relationship cardinality and cross-filter direction 3. Create and transform tables 4. Select appropriate column data types 5. Create and transform columns - Profile the data 1. Interpret data distribution and variance 2. Identify data anomalies 3. Examine data structures - Clean the data 1. Resolve data import errors 2. Resolve inconsistencies, unexpected or null values, and data quality issues 3. Evaluate data, including data statistics and column properties

Microsoft DA-100日本語 : Analyzing Data with Microsoft Power BI (DA-100日本語版)

About Microsoft DA-100日本語 Exam