Microsoft DA-100 dumps - in .pdf

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  • Exam Code: DA-100
  • Exam Name: Analyzing Data with Microsoft Power BI
  • Q & A: 150 Questions and Answers
  • PDF Price: $59.99

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  • Exam Code: DA-100
  • Exam Name: Analyzing Data with Microsoft Power BI
  • Q & A: 150 Questions and Answers
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Microsoft DA-100 dumps - Testing Engine

DA-100 Testing Engine
  • Exam Code: DA-100
  • Exam Name: Analyzing Data with Microsoft Power BI
  • Q & A: 150 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

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Useful Training Courses to Pass DA-100

To help candidates prepare fully and achieve the best possible result in DA-100, Microsoft provides an official four-day instructor-led training named ‘Course DA-100T00-A: Analyzing Data with Power BI’. It has 13 modules, each focusing on a different area that will be assessed in the exam. Along with each section, there are lab exercises that give candidates the opportunity to apply what they learnt during the sessions. After completing this training, the applicants will be able to analyze technical reports, use Power BI to make paginated reports, handle & distribute report assets, and draw up reports for data analysis. Also, they will be able to effectively enhance, polish, transform, and structure data in a way that facilitates the performance of the business.

However, not everyone can participate in this program as there are certain prerequisites. For instance, learners must be acquainted with the concepts of working with data in the cloud, know how to interact with non-relational and relational data in the cloud, be familiar with the virtualization basics, and finally, understand how to carry out data analysis. If a candidate is missing these necessary requirements, then they can obtain them by first going through the ‘Microsoft Azure Data Fundamentals’ training course and then enrolling in this one.

Moreover, note that the vendor also provides six learning paths for self-study. They are completely free and can be a good first step in your revision for the exam. These modules cover different data analysis areas, such as the use of Power BI, visualization, workspaces’ management, and many more.

The DA-100 exam covers a range of topics, including data modeling, data visualization, and data analysis. Candidates will need to demonstrate their ability to work with data sources, transform data, create and manage data models, and design compelling reports and dashboards. DA-100 exam is also designed to test the candidate's understanding of data security and governance, as well as their ability to collaborate with others in a Power BI environment. Passing the DA-100 exam is a great way to demonstrate your expertise in Power BI and enhance your career prospects as a data analyst or business analyst.

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

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Microsoft DA-100 Exam Syllabus Topics:

SectionWeightObjectives
Visualize the data25%- Create dashboards
  • 1. Set mobile view
  • 2. Manage tiles on a dashboard
  • 3. Configure data alerts
  • 4. Use the Q&A feature
- Create reports
  • 1. Configure conditional formatting
  • 2. Add visualization items to reports
  • 3. Format and configure visualizations
  • 4. Create and manage bookmarks
  • 5. Choose an appropriate visualization type
  • 6. Apply slicing and filtering
  • 7. Import a custom visual
- Enforce accessibility
  • 1. Use accessibility features
  • 2. Design accessible reports
  • 3. Configure tab order
Deploy and maintain deliverables10%- Create and manage workspaces
  • 1. Assign workspace roles
  • 2. Configure and update a workspace app
  • 3. Create and configure a workspace
- 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
Prepare the data20%- Clean the data
  • 1. Evaluate data, including data statistics and column properties
  • 2. Resolve data import errors
  • 3. Resolve inconsistencies, unexpected or null values, and data quality issues
- Get data from different data sources
  • 1. Choose an appropriate Power BI data source
  • 2. Select a shared dataset or create a local dataset
  • 3. Select a storage mode
  • 4. Change data source settings
  • 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. Design a star schema
  • 5. Define relationship cardinality and cross-filter direction
- Profile the data
  • 1. Interpret data distribution and variance
  • 2. Identify data anomalies
  • 3. Examine data structures
Analyze the data15%- 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. Apply sorting
  • 2. Configure sync slicers
  • 3. Edit and configure interactions between visuals
  • 4. Group and layer visuals
  • 5. Create custom tooltips
  • 6. Configure navigation for a report
  • 7. Configure bookmarks
Model the data30%- Optimize model performance
  • 1. Improve performance by identifying and removing unnecessary rows and columns
  • 2. Optimize Power Query transformations
  • 3. Improve performance by choosing optimal data types
- Develop a data model
  • 1. Create calculated tables
  • 2. Implement row-level security roles
  • 3. Create calculated columns
  • 4. Create hierarchies
- Design a data model
  • 1. Define the tables
  • 2. Define quick measures
  • 3. Define a relationship's cross-filter direction and security filtering
  • 4. Configure table and column properties
  • 5. Design and implement role-playing dimensions
- Create measures by using DAX
  • 1. Implement Time Intelligence using DAX
  • 2. Create calculated measures
  • 3. Use DAX logical functions
  • 4. Use DAX aggregation functions
  • 5. Create semi-additive measures

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