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Microsoft DA-100 valid - in .pdf

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

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  • Exam Code: DA-100
  • Exam Name: Analyzing Data with Microsoft Power BI
  • Q & A: 150 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
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Microsoft DA-100 valid - 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
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The benefit in Obtaining the Exam DA-100: Analyzing Data with Microsoft Power BI

Microsoft Power BI is a suite of business intelligence (BI), reporting, and data visualization products and services for individuals and teams. Power BI stands out with streamlined publication and distribution capabilities, as well as integration with other Microsoft products and services.

Through Power BI, users can:

  • Share data, dashboards, and reports with other Power BI users
  • Connect to data
  • Create charts and graphs
  • Share reports with others using the Power BI service
  • Embed Power BI visuals into Power BI apps
  • Create workspaces - places to collaborate with colleagues to create collections of dashboards and reports
  • Transform and model the data
  • Integrate with other Microsoft solutions, such as Azure data services
  • Enable peer-to-peer sharing - a way to share published dashboards or reports with people outside the organization who have a Power BI Pro license
  • Create reports and dashboards that are collections of visuals

Some other benefits are as follows:

  • After completion of the exam, candidates receive official confirmation from Microsoft that they are now fully certified in their chosen field.
  • Organization owners invest a lot in their employees when it comes to their training with the goal of making them quicker, more efficient, and more knowledgeable about their role. Certified Professional will reduce the time he spends on tasks, meaning he can get more done this could help reduce company downtime when repairing faults on a system or fixing hardware problems.
  • When Candidates applying for a job or looking to promotion in their current position, a Microsoft certification in the field in which Candidates are applying will put you at the top of the list and make them a desirable candidate for employers.
  • It will not only help those looking to become data analysts gain practical experience but also boost their chances of finding and securing employment.
  • Candidates will get in-depth knowledge by completing the courses along with the access to revision materials for 6 months upon completion means they will have a wider skill set when it comes to the various technologies and systems than an uncertified professional.
  • Candidates will be able to apply that knowledge by experiencing hands-on use of a supported Microsoft product (e.g., Excel or PowerPoint). The exam will also help prepare individuals for the advanced data analysis skills required for more sophisticated reports and presentations.
  • After completion of exam, candidates receive official confirmation from Microsoft that you are now fully certified in their chosen field. This can be now added to their CV, cover letters and job applications.
  • When candidates applying for a job or looking to promotion in their current position, a Microsoft certification in the field in which candidates are applying will put them at the top of the list and make them desirable candidates for employers.

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4. Data Analysis (10-15%):

This section requires your skills in:

  • Caring out advanced analysis: This subject area covers your skills in identifying outliers, using binnings & groupings, conducting Time Series Analysis, and applying AI Insights. The students should also have competence in using decomposition tree visuals to dissect a measure and use Key Influencers for the exploration of dimensional variances.
  • Enhancing reports to expose insights: The candidates should have the expertise in personalizing visuals, applying filters & slicers and conditional formatting. They also need to demonstrate their skills in exploring statistical summary, creating reference lines with Analytics pane, and using Q&A visuals, among others.

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

More about DA-100 Exam

This test focuses on technical domains such as structuring data, using DAX to create measures, making a data model, acquiring data from numerous sources, and preparing and analyzing data. Also, it checks one’s skills in interpreting reports, revealing data insights, forming dashboards, visualizing data, handling datasets, and lastly, incorporating and maintaining deliverables. The registration fee for DA-100 is $165. The test is available in numerous languages including Japanese, Chinese, Korean, and English. DA-100 can be taken at local physical centers or online under proctored conditions.

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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.

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Microsoft DA-100 Exam Syllabus Topics:

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

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