Power BI Data Query and Reporting Quiz
42 Questions
2 Views

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to Lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

What percentage of community votes was attributed to DE?

  • 75%
  • 83% (correct)
  • 67%
  • 50%

How many distinct values are found in the State column of the Reports table?

  • 69 (correct)
  • 65
  • 73
  • 75

What does the unique values count in a column represent?

  • Total number of values that only appear once. (correct)
  • Total number of duplicated values in that column.
  • Total number of distinct values in that column.
  • Total number of values that appear more than once.

Which of the following statements about column distribution is correct?

<p>It includes the count of distinct and unique values. (A)</p> Signup and view all the answers

In the context of profiling data with Power Query Editor, what is the primary purpose of assessing data metrics?

<p>To understand the data's overall distribution and quality. (A)</p> Signup and view all the answers

Which data connector should be used in Power BI Desktop to pull data from Azure DevOps while meeting specific requirements?

<p>OData Feed (D)</p> Signup and view all the answers

In Power BI Desktop, when aiming to authenticate to Azure DevOps, which requirement must be fulfilled when selecting a connector?

<p>Analytics views must be utilized. (A)</p> Signup and view all the answers

Which of the following is NOT a valid connector option for sourcing data from Azure DevOps in Power BI Desktop?

<p>REST API connector (A)</p> Signup and view all the answers

What percentage of community votes did the OData Feed connector receive for being the correct answer in the Azure DevOps connector question?

<p>52% (B)</p> Signup and view all the answers

When shaping a query in Power Query Editor, if the data always starts on row 3, which setting should be prioritized?

<p>Set row 3 as the starting point containing column names (B)</p> Signup and view all the answers

Which transformation should be applied to the Logged column to analyze complaints by logged date and use a built-in date hierarchy?

<p>Split the Logged column by using 'at' as the delimiter. (C)</p> Signup and view all the answers

What is necessary for a Power BI dataset to refresh data from a Microsoft Excel file located in a OneDrive folder?

<p>The dataset must use a compatible connector for cloud storage. (B)</p> Signup and view all the answers

Which of the following connectors can be used to connect to an Excel file in a OneDrive folder for Power BI?

<p>Excel Workbook (B)</p> Signup and view all the answers

What is the purpose of transforming the Logged column's data before analysis?

<p>To standardize its format for date analysis. (A)</p> Signup and view all the answers

Which of these connectors cannot be used for importing data from Microsoft Excel in a Power BI dataset?

<p>ODBC (B)</p> Signup and view all the answers

Why might splitting the Logged column enhance the analysis of user complaints?

<p>It separates the date and time, allowing for independent analysis. (B)</p> Signup and view all the answers

What will happen if the Logged column is not transformed correctly before analysis?

<p>The data will be formatted as a string and cannot be used for analysis. (C)</p> Signup and view all the answers

What is the recommended way to analyze complaints based on the date logged?

<p>Utilize built-in date hierarchy after appropriate transformation. (B)</p> Signup and view all the answers

What is the primary purpose of using Power Query Editor in relation to sales data?

<p>To perform data transformations (D)</p> Signup and view all the answers

When creating Power BI reports with annual sales data, what should be included for better user interaction?

<p>A slicer for month and year (B)</p> Signup and view all the answers

In a Power BI report, which of the following visualizations best represents sales trends over time?

<p>Line graph (A)</p> Signup and view all the answers

Which sequence best describes a process to visualize sales data in Power BI?

<p>Load data, add visuals, create slicers (C)</p> Signup and view all the answers

What must you do first to connect Power BI to an Azure SQL database?

<p>Establish a connection string (A)</p> Signup and view all the answers

In which scenario would you primarily use slicers in Power BI?

<p>To filter data based on user selection (A)</p> Signup and view all the answers

Which action is essential to visualize sales values over time?

<p>Creating a time-based axis in a visual (C)</p> Signup and view all the answers

What is a critical requirement for a successful connection to a Microsoft Excel data source in Power BI?

<p>The Excel file must be in the correct format (C)</p> Signup and view all the answers

Which two actions can effectively reduce query load times while still enabling analysis of sales data?

<p>Remove the rows in which Sales[Status] has a value of Canceled. (C), Split Sales[Sale_Date] into separate date and time columns. (D)</p> Signup and view all the answers

What type of relationship should be established between the Customer and Transaction tables for effective analysis?

<p>One-to-many from Customer to Transaction. (B)</p> Signup and view all the answers

What data should be excluded from the Sales query to optimize performance without losing relevant insights?

<p>Sales[Canceled Date]. (C)</p> Signup and view all the answers

Which column is least likely to affect the analysis when removed from the Sales query?

<p>Sales[Canceled Date]. (B)</p> Signup and view all the answers

When designing a query, what is the primary reason to separate date and time columns in Sales[Sale_Date]?

<p>To use either date or time independently in analysis. (A)</p> Signup and view all the answers

What is a potential consequence of not filtering out rows with a Status of Canceled in the Sales query?

<p>Increased load times due to unnecessary data computation. (A)</p> Signup and view all the answers

How does changing the data type of Sale[Delivery_Time] to Integer improve the query efficiency?

<p>It allows for faster calculations during data processing. (A)</p> Signup and view all the answers

If the custom email connector returns specifics for every sent email, which field is most critical for ensuring no duplicates in analysis?

<p>ID. (C)</p> Signup and view all the answers

What is the primary purpose of adding a WHERE clause to an SQL statement during data import?

<p>To limit the amount of data imported. (C)</p> Signup and view all the answers

For year-over-year calculations in Power BI, which feature is most likely necessary when dealing with time-based data?

<p>Unpivoting columns to create a consistent time series. (D)</p> Signup and view all the answers

Which of the following statements is true about configuring the data model in Power BI regarding employee_id and employee_photo?

<p>They should be marked as hidden from the report view. (C)</p> Signup and view all the answers

What is a likely outcome of not properly configuring year-over-year calculations in Power BI?

<p>Inaccurate visual representations of data trends. (C)</p> Signup and view all the answers

Why is it important to understand the relationship between tables when creating an analytics report?

<p>To ensure that data aggregations are correct. (D)</p> Signup and view all the answers

Which option would be best for optimizing the data model in Power BI when dealing with large datasets?

<p>Using summarized tables instead of detailed tables. (C)</p> Signup and view all the answers

In what scenario would unpivoting data in Power BI be necessary?

<p>When dealing with time-based measures across multiple columns. (D)</p> Signup and view all the answers

What is one risk of importing a dataset without applying a WHERE clause?

<p>Overloading the model with unnecessary data. (A)</p> Signup and view all the answers

Flashcards

Split Column Transformation

A transformation that extracts a specific part of a string based on a specified delimiter, like 'at' in this case.

Date Data Type

A data type that represents a date, often formatted as YYYY-MM-DD.

Date Hierarchy

A hierarchy that allows you to drill down from higher-level dates (like years and months) to lower-level dates (like days).

CSV File

A file format commonly used to store tabular data.

Signup and view all the flashcards

Data Refresh

A feature that automatically updates a Power BI dataset with the latest data from the original source.

Signup and view all the flashcards

Excel Workbook

A file format commonly used to store spreadsheets and tabular data.

Signup and view all the flashcards

SharePoint Folder Connector

A connector that allows you to connect to a folder in the cloud storage service SharePoint.

Signup and view all the flashcards

Folder Connector

A connector that allows you to import data from a folder containing various file types.

Signup and view all the flashcards

OData Feed Connector

A data connector type that supports retrieving data from Azure DevOps Analytics views through OData protocol.

Signup and view all the flashcards

Azure DevOps Analytics

A data source that provides insights into the performance, usage, and trends of your Azure DevOps projects.

Signup and view all the flashcards

Power Query Editor

A Power BI feature that allows you to filter and shape data before loading it into your report.

Signup and view all the flashcards

OData Queries

A data retrieval method that uses structured queries to access data from a source.

Signup and view all the flashcards

Azure DevOps (Boards only)

A data connector type specifically designed to access data from Azure DevOps Boards.

Signup and view all the flashcards

Distinct values

In Power Query Editor, the Distinct values metric within the Column Distribution analysis reveals the total number of unique, different values present within a column. This helps understand data variety and potential issues with inconsistencies.

Signup and view all the flashcards

Column Distribution

Power Query Editor's Column Distribution analysis within the Data Profiling feature allows users to understand the overall spread and variations within a column. This includes metrics like distinct values, which reveal the number of unique entries in a column, and unique values, which shows the number of entries that appear only once.

Signup and view all the flashcards

Power Query Editor: Distinct Values

The number of unique, different values presented within a column's data is referred to as Distinct values in Power Query Editor. This metric is part of the Column Distribution analysis, which provides insights into data spread and variations.

Signup and view all the flashcards

Data Profiling

Using Column Distribution, part of Power Query Editor's Data Profiling, you can analyze the spread and variations in a column's data. This includes the total number of different values, which is called Distinct values, and the number of values that appear only once, referred to as Unique values.

Signup and view all the flashcards

Unique Values

When analyzing a column's data using Power Query Editor, Column Distribution allows you to see the spread of values, including the count of Unique values, which represent entries that appear only once, and Distinct values, which reveal the total number of different values in the column.

Signup and view all the flashcards

What is OData?

OData stands for Open Data Protocol. It's a standard for querying and editing data from different data sources.

Signup and view all the flashcards

What is a Slicer in Power BI?

A slicer in Power BI enables filtering of data based on specific values or criteria.

Signup and view all the flashcards

What is Power Query Editor?

Power Query Editor is a tool within Power BI Desktop used to clean, transform, and shape data before loading it into reports.

Signup and view all the flashcards

What is a Dataset in Power BI?

In Power BI, a dataset is a collection of data tables, relationships, and measures that form the foundation of reports and visualizations.

Signup and view all the flashcards

What is Power BI Desktop?

Power BI Desktop is an application used to create and edit interactive dashboards, reports, and visualizations.

Signup and view all the flashcards

What is Azure SQL Database?

Azure SQL Database is a managed database service offered by Microsoft as part of the Azure cloud platform.

Signup and view all the flashcards

What is a Folder Connector in Power BI?

A folder connector in Power BI allows you to connect to a folder on your computer or a network drive, enabling you to import data from various file types.

Signup and view all the flashcards

What is Importing Data in Power BI?

Importing data refers to the process of bringing data from an external source into Power BI Desktop for analysis and reporting.

Signup and view all the flashcards

One-to-Many Relationship

A type of relationship in databases where one record in the first table can be linked to multiple records in the second table. For example, one customer can have multiple transactions.

Signup and view all the flashcards

Query Optimization

The process of removing unnecessary data from a Power BI query to improve its performance and speed up data loading.

Signup and view all the flashcards

Reducing Query Load Times

Reducing the amount of data loaded into Power BI to improve performance without impacting the analysis results. For example, filtering out rows with irrelevant data, like canceled orders, or using only relevant parts of dates.

Signup and view all the flashcards

Date/Time Data Type

A column in a database that stores a combined value of date and time, typically formatted as YYYY-MM-DD HH:MM:SS.

Signup and view all the flashcards

Splitting Date and Time Columns

Separating a column with combined date and time values into two separate columns: one for the date and one for the time. This helps optimize queries and improve performance.

Signup and view all the flashcards

WHERE Clause

A WHERE clause helps to narrow down the data retrieved from a table by specifying conditions to be met. It's like a filter that only allows certain rows matching your criteria to be selected.

Signup and view all the flashcards

SQL Statement

A set of commands that allows you to interact with and manipulate data stored in a database. Some common types of SQL commands include SELECT, INSERT, UPDATE, and DELETE.

Signup and view all the flashcards

Unpivot Transformation

The process of combining similar data columns into a single column, often used for efficient analysis and visualization.

Signup and view all the flashcards

Data Model Diagram

A visual representation of the relationship between data elements in a data model. It helps understand how different tables are connected and how information flows between them.

Signup and view all the flashcards

Drill-Down Capability

A feature that allows users to select specific data points and drill down to analyze details at a lower level of granularity.

Signup and view all the flashcards

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

Studying That Suits You

Use AI to generate personalized quizzes and flashcards to suit your learning preferences.

Quiz Team

Related Documents

PL-300 Dec 2024 Answers PDF

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.

More Like This

Use Quizgecko on...
Browser
Open
Browser
Browser