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What is the cost of Exam DA-100: Analyzing Data with Microsoft Power BI

The cost of Exam DA-100: Analyzing Data with Microsoft Power BI is $165.

Passing Score: 70%
Format: Multiple choices, multiple answers
Length of Examination: 90 minutes
Number of Questions: 40

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

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5. Deliverables Deployment and Maintenance (10-15%):

The topics for this part are the following:

Workspaces creation and management: The test takers must have competence in assigning workspace roles, using deployment pipeline, updating and configuring workspace apps, and applying sensitivity labels for workspace content. It also requires their skills in importing, updating, and publishing assets in workspaces, as well as recommending the development lifecycle strategy.
Datasets management: In the framework of this subtopic, the applicants will be evaluated based on their skills in configuring incremental refresh settings, dataset scheduled refresh, and group membership for row-level security. It will also measure their skills in providing access to the datasets and certifying or promoting Power BI content.

Certification Path

After acquiring the Microsoft Certified: Data Analyst Associate certification, you are competent to go further and broaden your expertise in the Microsoft BI platform. Although this certificate is not a direct requirement for other BI-related validations, it will sure help you get started with the higher-level certifications like the Microsoft Certified: Dynamics 365 + Power Platform Solution Architect Expert.

Microsoft DA-100 Exam Syllabus Topics:

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

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