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

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

• Combine queries
• Use Microsoft Dataverse
• Select a storage mode
• Evaluate and transform column data types
• Use parameters
• Examine data structures
• Change data source settings
• Identify and create appropriate keys for joins
• Select a shared dataset or create a local dataset
• Choose an appropriate query type
• Apply user-friendly naming conventions to columns and queries
• Apply user-friendly value replacements
• Apply data shape transformations to table structures
• Interrogate column properties
• Resolve data import errors
• Resolve inconsistencies, unexpected or null values, and data quality issues
• Identify data anomalies
• Interrogate data statistics
• Use or create a data flow
• Use or create a PBIDS file
• Identify and connect to a data source
• Configure data loading
• Identify query performance issues
• Leverage Advanced Editor to modify Power Query M code

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

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

• Create and manage aggregations
• Create semi-additive measures
• Set up the Q&A feature
• Flatten out a parent-child hierarchy
• Replace numeric columns with measures
• Create calculated columns
• Improve cardinality levels through summarization
• Create a common date table
• Identify poorly performing measures, relationships, and visuals
• Implement row-level security roles
• Configure table and column properties
• Create calculated tables
• Define role-playing dimensions
• Optimize model performance
• Create measures by using DAX
• Use DAX to build complex measures
• Design the data model to meet performance requirements
• Define a relationship's cardinality and cross-filter direction
• Use basic statistical functions to enhance data
• Remove unnecessary rows and columns
• Define the tables
• Use CALCULATE to manipulate filters
• Develop a data model
• Resolve many-to-many relationships
• Define the appropriate level of data granularity
• Design a data model
• Implement Time Intelligence using DAX
• Create hierarchies
• Define quick measures
• Improve cardinality levels by changing data types
• Apply cross-filter direction and security filtering

Exam Topics for Exam DA-100: Analyzing Data with Microsoft Power BI

The following will be discussed in MICROSOFT DA-100 practice exams and MICROSOFT DA-100 practice test:

• Visualize the data
• Model the data
• Prepare the data
• Deploy and maintain deliverables
• Analyze the data

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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

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