What career bonuses will you get after passing the Microsoft DA-100 exam?

The certifications from a renowned vendor such as Microsoft enhance the chances of the professionals to land a decent job. The individuals with the Microsoft Certified: Data Analyst Associate certificate are also at an advantage because this option validates their skills and competence in a specific technical domain. Some of the job titles that the certified specialists can pursue include a Data Analyst, a Business Analyst, a Mobile Test Analyst, a Revenue Analyst, and a Quantity Assurance Analyst. The average salary for these experts is $105,000 per annum.

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About Exam DA-100: Analyzing Data with Microsoft Power BI

The Microsoft DA-100 test is for those individuals who have at least some experience in working with Power Bi although it is not a strict requirement but a recommendation. In addition, the applicant should have some experience in the concepts of scaling data models, data visualizations, data cleaning, and data processing. When it comes to the test details, DA-100 exam is available in English, Chinese (Simplified), Korean, Japanese and will require $165 for registration. The registered candidate can use the Pearson VUE platform for scheduling an exam. In the final test, individuals will experience around 40-60 items that will have to be solved in 3 hours.

The Microsoft DA-100 exam (Analyzing Data with Microsoft Power BI) is intended for data analysts and is the only test required to obtain the Microsoft Certified: Data Analyst Associate certificate.

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

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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:

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

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