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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.

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

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

The topics for this part are the following:

  • 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.
  • 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.

Microsoft DA-100日本語 Exam Syllabus Topics:

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

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