POWERBI
CERTIFICATION EXAM
PREP 2 QUESTIONS
WITH 100% CORRECT
ANSWERS!!
POWERBI
Evatee 10/22/24 POWERBI
,POWERBI CERTIFICATION EXAM PREP 2
QUESTIONS WITH 100% CORRECT
ANSWERS!!
You plan to get data for a Power BI dataset from flat files. You need a location
type to store the files. The date must NOT automatically synchronize between
the original file and the dataset. Which location type should you recommend?
Answer - Local File
The local file option will result in importing the file contents without providing
automatic synchronization between the original file and the dataset.
SharePoint - Team Sites, personal OneDrive accounts, and OneDrive for
Business provide the ability to synchronize flat files and Power BI datasets.
You need to make changes to your data sources. Which three changes are
supported by the data source settings in the Power Query interface? Each
correct answer presents a complete solution. Answer - Editing Permssions
Modifying the File Path
Clearing Permissions
The Data Source Settings in the Power Query interface supports editing
permissions, clearing permissions, and modifying the path of the data source
file. Any structural changes to a file, such as adding, removing, or renaming
columns are not supported by the Data Source Settings in the Power Query
interface.
You have multiple Excel files stored in a folder synced with OneDrive for
Business. You need to import data from the files. The solution must NOT use a
data gateway. Which type of connector should you use? Answer - SharePoint
Folder
, A SharePoint folder is the only connector that will allow the import of multiple
Excel (or CSV) files stored in a OneDrive for Business folder, without using a
data gateway. While you can connect to the folder on an on-premises device, it
would require a data gateway to refresh in the service. An Excel workbook
would only connect to a single Excel file and would also require a data gateway.
A SharePoint list connector only connects to SharePoint lists and cannot
connect to Excel files.
You create a Power BI data source which uses a SQL SELECT statement. The SQL
statement queries multiple tables in a SQL Server database and includes
subqueries. When importing data from the data source into Power BI, you
receive the following error message: "Timeout expired." You verify that
network connection to the SQL Server has sufficient available bandwidth and
low latency. You need to minimize the occurrences of the timeout issues
indicated by the message. What should you do? Answer - Divide the SQL
statement into separate data sources.
Dividing the SQL statement into separate data sources would minimize the
amount of processing on the SQL Server side. This would minimize or even
eliminate the timeout issues. Groupings, aggregations, and using nested
queries would either have no impact on timeout issues or further increase the
amount of processing on the SQL Server side, resulting in more frequent
timeout issues.
You create a Power BI data source which uses a SQL SELECT statement. The SQL
statement queries multiple tables in a SQL Server database and includes
subqueries. After you import data from the data source into Power BI, you
notice that one of the columns in the resulting dataset appears blank. You
verify that the source table does include data. What should you do to resolve
the issue? Answer - Use the CAST function in the SQL statement.
The issue indicates that Power BI is incorrectly interpreting the data type used
by the source column. To resolve it, you need to explicitly specify the intended
data type, which can be done by using the CAST function. DATALENGTH
displays the number of bytes used to represent an expression. Clearing
permissions could prevent Power BI from being able to access the target
CERTIFICATION EXAM
PREP 2 QUESTIONS
WITH 100% CORRECT
ANSWERS!!
POWERBI
Evatee 10/22/24 POWERBI
,POWERBI CERTIFICATION EXAM PREP 2
QUESTIONS WITH 100% CORRECT
ANSWERS!!
You plan to get data for a Power BI dataset from flat files. You need a location
type to store the files. The date must NOT automatically synchronize between
the original file and the dataset. Which location type should you recommend?
Answer - Local File
The local file option will result in importing the file contents without providing
automatic synchronization between the original file and the dataset.
SharePoint - Team Sites, personal OneDrive accounts, and OneDrive for
Business provide the ability to synchronize flat files and Power BI datasets.
You need to make changes to your data sources. Which three changes are
supported by the data source settings in the Power Query interface? Each
correct answer presents a complete solution. Answer - Editing Permssions
Modifying the File Path
Clearing Permissions
The Data Source Settings in the Power Query interface supports editing
permissions, clearing permissions, and modifying the path of the data source
file. Any structural changes to a file, such as adding, removing, or renaming
columns are not supported by the Data Source Settings in the Power Query
interface.
You have multiple Excel files stored in a folder synced with OneDrive for
Business. You need to import data from the files. The solution must NOT use a
data gateway. Which type of connector should you use? Answer - SharePoint
Folder
, A SharePoint folder is the only connector that will allow the import of multiple
Excel (or CSV) files stored in a OneDrive for Business folder, without using a
data gateway. While you can connect to the folder on an on-premises device, it
would require a data gateway to refresh in the service. An Excel workbook
would only connect to a single Excel file and would also require a data gateway.
A SharePoint list connector only connects to SharePoint lists and cannot
connect to Excel files.
You create a Power BI data source which uses a SQL SELECT statement. The SQL
statement queries multiple tables in a SQL Server database and includes
subqueries. When importing data from the data source into Power BI, you
receive the following error message: "Timeout expired." You verify that
network connection to the SQL Server has sufficient available bandwidth and
low latency. You need to minimize the occurrences of the timeout issues
indicated by the message. What should you do? Answer - Divide the SQL
statement into separate data sources.
Dividing the SQL statement into separate data sources would minimize the
amount of processing on the SQL Server side. This would minimize or even
eliminate the timeout issues. Groupings, aggregations, and using nested
queries would either have no impact on timeout issues or further increase the
amount of processing on the SQL Server side, resulting in more frequent
timeout issues.
You create a Power BI data source which uses a SQL SELECT statement. The SQL
statement queries multiple tables in a SQL Server database and includes
subqueries. After you import data from the data source into Power BI, you
notice that one of the columns in the resulting dataset appears blank. You
verify that the source table does include data. What should you do to resolve
the issue? Answer - Use the CAST function in the SQL statement.
The issue indicates that Power BI is incorrectly interpreting the data type used
by the source column. To resolve it, you need to explicitly specify the intended
data type, which can be done by using the CAST function. DATALENGTH
displays the number of bytes used to represent an expression. Clearing
permissions could prevent Power BI from being able to access the target
