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Questions and Answers
What percentage of community votes was attributed to DE?
What percentage of community votes was attributed to DE?
How many distinct values are found in the State column of the Reports table?
How many distinct values are found in the State column of the Reports table?
What does the unique values count in a column represent?
What does the unique values count in a column represent?
Which of the following statements about column distribution is correct?
Which of the following statements about column distribution is correct?
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In the context of profiling data with Power Query Editor, what is the primary purpose of assessing data metrics?
In the context of profiling data with Power Query Editor, what is the primary purpose of assessing data metrics?
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Which data connector should be used in Power BI Desktop to pull data from Azure DevOps while meeting specific requirements?
Which data connector should be used in Power BI Desktop to pull data from Azure DevOps while meeting specific requirements?
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In Power BI Desktop, when aiming to authenticate to Azure DevOps, which requirement must be fulfilled when selecting a connector?
In Power BI Desktop, when aiming to authenticate to Azure DevOps, which requirement must be fulfilled when selecting a connector?
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Which of the following is NOT a valid connector option for sourcing data from Azure DevOps in Power BI Desktop?
Which of the following is NOT a valid connector option for sourcing data from Azure DevOps in Power BI Desktop?
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What percentage of community votes did the OData Feed connector receive for being the correct answer in the Azure DevOps connector question?
What percentage of community votes did the OData Feed connector receive for being the correct answer in the Azure DevOps connector question?
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When shaping a query in Power Query Editor, if the data always starts on row 3, which setting should be prioritized?
When shaping a query in Power Query Editor, if the data always starts on row 3, which setting should be prioritized?
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Which transformation should be applied to the Logged column to analyze complaints by logged date and use a built-in date hierarchy?
Which transformation should be applied to the Logged column to analyze complaints by logged date and use a built-in date hierarchy?
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What is necessary for a Power BI dataset to refresh data from a Microsoft Excel file located in a OneDrive folder?
What is necessary for a Power BI dataset to refresh data from a Microsoft Excel file located in a OneDrive folder?
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Which of the following connectors can be used to connect to an Excel file in a OneDrive folder for Power BI?
Which of the following connectors can be used to connect to an Excel file in a OneDrive folder for Power BI?
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What is the purpose of transforming the Logged column's data before analysis?
What is the purpose of transforming the Logged column's data before analysis?
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Which of these connectors cannot be used for importing data from Microsoft Excel in a Power BI dataset?
Which of these connectors cannot be used for importing data from Microsoft Excel in a Power BI dataset?
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Why might splitting the Logged column enhance the analysis of user complaints?
Why might splitting the Logged column enhance the analysis of user complaints?
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What will happen if the Logged column is not transformed correctly before analysis?
What will happen if the Logged column is not transformed correctly before analysis?
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What is the recommended way to analyze complaints based on the date logged?
What is the recommended way to analyze complaints based on the date logged?
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What is the primary purpose of using Power Query Editor in relation to sales data?
What is the primary purpose of using Power Query Editor in relation to sales data?
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When creating Power BI reports with annual sales data, what should be included for better user interaction?
When creating Power BI reports with annual sales data, what should be included for better user interaction?
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In a Power BI report, which of the following visualizations best represents sales trends over time?
In a Power BI report, which of the following visualizations best represents sales trends over time?
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Which sequence best describes a process to visualize sales data in Power BI?
Which sequence best describes a process to visualize sales data in Power BI?
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What must you do first to connect Power BI to an Azure SQL database?
What must you do first to connect Power BI to an Azure SQL database?
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In which scenario would you primarily use slicers in Power BI?
In which scenario would you primarily use slicers in Power BI?
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Which action is essential to visualize sales values over time?
Which action is essential to visualize sales values over time?
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What is a critical requirement for a successful connection to a Microsoft Excel data source in Power BI?
What is a critical requirement for a successful connection to a Microsoft Excel data source in Power BI?
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Which two actions can effectively reduce query load times while still enabling analysis of sales data?
Which two actions can effectively reduce query load times while still enabling analysis of sales data?
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What type of relationship should be established between the Customer and Transaction tables for effective analysis?
What type of relationship should be established between the Customer and Transaction tables for effective analysis?
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What data should be excluded from the Sales query to optimize performance without losing relevant insights?
What data should be excluded from the Sales query to optimize performance without losing relevant insights?
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Which column is least likely to affect the analysis when removed from the Sales query?
Which column is least likely to affect the analysis when removed from the Sales query?
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When designing a query, what is the primary reason to separate date and time columns in Sales[Sale_Date]?
When designing a query, what is the primary reason to separate date and time columns in Sales[Sale_Date]?
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What is a potential consequence of not filtering out rows with a Status of Canceled in the Sales query?
What is a potential consequence of not filtering out rows with a Status of Canceled in the Sales query?
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How does changing the data type of Sale[Delivery_Time] to Integer improve the query efficiency?
How does changing the data type of Sale[Delivery_Time] to Integer improve the query efficiency?
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If the custom email connector returns specifics for every sent email, which field is most critical for ensuring no duplicates in analysis?
If the custom email connector returns specifics for every sent email, which field is most critical for ensuring no duplicates in analysis?
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What is the primary purpose of adding a WHERE clause to an SQL statement during data import?
What is the primary purpose of adding a WHERE clause to an SQL statement during data import?
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For year-over-year calculations in Power BI, which feature is most likely necessary when dealing with time-based data?
For year-over-year calculations in Power BI, which feature is most likely necessary when dealing with time-based data?
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Which of the following statements is true about configuring the data model in Power BI regarding employee_id and employee_photo?
Which of the following statements is true about configuring the data model in Power BI regarding employee_id and employee_photo?
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What is a likely outcome of not properly configuring year-over-year calculations in Power BI?
What is a likely outcome of not properly configuring year-over-year calculations in Power BI?
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Why is it important to understand the relationship between tables when creating an analytics report?
Why is it important to understand the relationship between tables when creating an analytics report?
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Which option would be best for optimizing the data model in Power BI when dealing with large datasets?
Which option would be best for optimizing the data model in Power BI when dealing with large datasets?
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In what scenario would unpivoting data in Power BI be necessary?
In what scenario would unpivoting data in Power BI be necessary?
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What is one risk of importing a dataset without applying a WHERE clause?
What is one risk of importing a dataset without applying a WHERE clause?
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Study Notes
PL-300 Exam - Study Notes
- This document contains questions and answers from a Microsoft certification exam.
- The questions cover topics related to Power BI
- The answers detail the appropriate storage mode, connector options, and other considerations for optimal Power BI model performance.
- The questions are focused on practical application and problem-solving within a Power BI context.
Topic 1 - Question Set 1
-
Question #1:
- Customer: Import
- Date: Dual
- Sales: DirectQuery
- SalesAggregate: Import
-
Question #2:
- Focus on minimizing load times and ensuring data is loaded based on refresh requirements.
- Question #3: -Merge the Customer and Address tables to combine necessary data into a single Customer data view.
- Question #4: -To consolidate customer data, merge the Customer and Address tables.
- Question #5: -Combine the Customer tables: Append Queries as New -Action to perform: Disable loading the query to the data model.
- Question #6: -Product Category: Inner Join -ProductSubCategory: Left Outer Join -Product: Inner Join
- Question #7:
- Question #8:
- Question #9:
- Question #10:
-
Question #11:
- Connectors: SharePoint folder, Web
-
Question #12:
- Different values in State including nulls: 69
- Non-null values occurring only once in State: 4
Topic 1
- Question #1: The question describes a Power BI model with refresh requirements for different tables. Students are asked to select the appropriate storage mode for each table.
- Question #2: The question pertains to the required refresh and storage mode configurations for tables within a Power BI model to ensure optimal load times for visuals.
- Question #3: The question asks about the correct action in Power Query to create a customer record query by merging data from two tables.
- Question #4: The question describes two datasets imported into Power Query and asks Students to execute a query to return customer data with specific columns.
- Question #5: The question describes the import of two tables containing customer and address data to create a single row table per customer.
- Question #6: The question asks about the correct merge types for three Power Query queries.
- Question #7: The question asks about the correct step to perform first when building a Power BI report from three table queries in a pre-defined Azure SQL database environment.
- Question #8: The question describes how to extract data from a Microsoft SharePoint folder using Power Query.
- Question #9: The question is about combining two Excel tables using Power Query Editor.
- Question #10: The question asks about how to analyze user complaints from a CSV file and use a built-in date hierarchy.
- **Question #11:**The question asks which two connectors to use when importing a Microsoft Excel spreadsheet located in a OneDrive folder to Power BI.
- Question #12: The question requires selecting appropriate answer choices from a given graphic to describe the profile of a specific data column.
- Question #13: The question focuses on combining data within Power Query Editor.
- Question #14: The question involves combining tables containing customer data to meet a specified requirement for minimizing data model size and supporting scheduled refresh in Power BI.
- Question #15: The question asks for the correct sequence of actions to perform in Power BI Desktop.
- **Question #16:**The question involves connecting to two Azure SQL databases and combining the data.
Topic 2 - Question Set 2
- Question #1: Power BI dataset
- Question #2: Data source from a Microsoft SharePoint folder
- Question #3: Merge the Customer and Address tables
- Question #4: Create a connection with DirectQuery-mode.
- **Question #5:**The question pertains to merging 100 csv files residing in a folder into a single dataset.
- Question #6: The question involves connecting three tables in Power Query Editor and consolidating their data.
- Question #7: The question asks what you should do first when building a Power BI report.
- Question #8: The question concerns creating a report that connects to a Microsoft SharePoint document library.
- Question #9: The question describes three actions that should be performed in sequence to combine two tables within Power Query Editor according to requirements outlined in the scenario.
- Question #10: The question pertains to creating a DAX measure to calculate the total sales for a given month from the previous year using a previously created measure and a date table.
- Question #11: The question focuses on combining files with certain properties by using Power Query Editor.
- Question #12: The question is about consolidating data from multiple tables in Power BI to create a single table.
- Question #13: This question is about combining two or more queries, and includes an action to do on the categories query.
- Question #14: The question involves configuring a data connection to ensure visibility within five minutes of updating an Azure SQL database with Power BI.
- Question #15: The question is about connecting multiple CSV files residing in a folder.
- Question #16: This question is about creating a single table from several files stored in a specific location for use in Power BI.
- Question #17: The question is about using a single table to refresh the data daily regarding data from an on-premises Microsoft SQL Server database.
- Question #18: The question pertains to connecting to a Cassandra database with Power BI. In the absence of a direct connector, alternative means of connection should be considered.
- Question #19: This question is about combining two Excel tables into a single table to exclude any duplicates in Power Query Editor
- Question #20: The question describes creating a connection between PowerBI Desktop to an Azure SQL database.
Topic 2
- Question #21: Create three parameters (one for each Power BI Database), make sure parameter type is 'Text'.
- Question #22: Remove duplicates in Country, and delete City column
- Question #23: The question outlines a task where errors in the discount column of a table should be replaced with a specific value.
- Question #24: The question discusses fixing a DAX expression error related to the usage of the ' & ' operator and mismatched data types in Power Query.
- Question #25: The question relates to troubleshooting a Power Query error ("Datasource. Error: Could not find file") during data query execution.
Topic 3 - Question Set 3
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Description
Test your knowledge on Power BI principles, focusing on data querying, metrics assessment, and connector options. This quiz covers critical aspects of data handling and profiling in Power Query Editor, particularly regarding Azure DevOps integration. Challenge your understanding of data metrics and unique value counts in reports.