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- Number of Questions: 40
- Length of Examination: 90 minutes
- Format: Multiple choices, multiple answers
- Passing Score: 70%
Microsoft DA-100 Exam Syllabus Topics:
Topic | Details |
---|---|
Prepare the Data (20-25%) |
|
Get data from different data sources | – identify and connect to a data source – change data source settings – select a shared dataset or create a local dataset – select a storage mode – choose an appropriate query type – identify query performance issues – use Microsoft Dataverse – use parameters – use or create a PBIDS file – use or create a data flow – connect to a dataset using the XMLA endpoint |
Profile the data | – identify data anomalies – examine data structures – interrogate column properties – interrogate data statistics |
Clean, transform, and load the data | – resolve inconsistencies, unexpected or null values, and data quality issues – apply user-friendly value replacements – identify and create appropriate keys for joins – evaluate and transform column data types – apply data shape transformations to table structures – combine queries – apply user-friendly naming conventions to columns and queries – leverage Advanced Editor to modify Power Query M code – configure data loading – resolve data import errors |
Model the Data (25-30%) |
|
Design a data model | – define the tables – configure table and column properties – define quick measures – flatten out a parent-child hierarchy – define role-playing dimensions – define a relationship’s cardinality and cross-filter direction – design the data model to meet performance requirements – resolve many-to-many relationships – create a common date table – define the appropriate level of data granularity |
Develop a data model | – apply cross-filter direction and security filtering – create calculated tables – create hierarchies – create calculated columns – implement row-level security roles – implement object-level security – set up the Q&A feature |
Create measures by using DAX | – use DAX to build complex measures – use CALCULATE to manipulate filters – implement Time Intelligence using DAX – replace numeric columns with measures – use basic statistical functions to enhance data – create semi-additive measures |
Optimize model performance | – remove unnecessary rows and columns – identify poorly performing measures, relationships, and visuals – improve cardinality levels by changing data types – improve cardinality levels through summarization – create and manage aggregations – use Query Diagnostics |
Visualize the Data (20-25%) |
|
Create reports | – add visualization items to reports – choose an appropriate visualization type – format and configure visualizations – import a custom visual – configure conditional formatting – apply slicing and filtering – add an R or Python visual – configure the report page – design and configure for accessibility – configure automatic page refresh – create a paginated report |
Microsoft DA-100 Practice Test Questions, Microsoft DA-100 Exam Practice Test Questions
The candidates who want to earn the Microsoft Certified: Data Analyst Associate certification must pass one qualifying exam, which is Microsoft DA-100. This test evaluates the ability of the test takers to accomplish specific technical tasks. These include the processes with data, such as analyzing, preparing, maintaining and deploying, visualizing, and modeling.
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