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Frequently Asked Questions
Question # 1
You have a Fabric tenant that contains a new semantic model in OneLake.You use a Fabric notebook to read the data into a Spark DataFrame.You need to evaluate the data to calculate the min, max, mean, and standard deviationvalues for all the string and numeric columns.Solution: You use the following PySpark expression:df.show()Does this meet the goal?
A. Yes
B. No
Question # 2
You have a Fabric tenant that contains a lakehouse named Lakehouse1. Lakehouse1contains a subfolder named Subfolder1 that contains CSV files. You need to convert theCSV files into the delta format that has V-Order optimization enabled. What should you dofrom Lakehouse explorer?
A. Use the Load to Tables feature.
B. Create a new shortcut in the Files section.
C. Create a new shortcut in the Tables section.
D. Use the Optimize feature.
Question # 3
You have a Fabric tenant that contains a semantic model named Model1. Model1 usesImport mode. Model1 contains a table named Orders. Orders has 100 million rows and thefollowing fields. You need to reduce the memory used by Model! and the time it takes to refresh the model.Which two actions should you perform? Each correct answer presents part of the solution.NOTE: Each correct answer is worth one point.
A. Split OrderDateTime into separate date and time columns.
B. Replace TotalQuantity with a calculated column.
C. Convert Quantity into the Text data type.
D. Replace TotalSalesAmount with a measure.
Question # 4
You are creating a semantic model in Microsoft Power Bl Desktop.You plan to make bulk changes to the model by using the Tabular Model DefinitionLanguage (TMDL) extension for Microsoft Visual Studio Code.You need to save the semantic model to a file.Which file format should you use?
A. PBIP
B. PBIX
C. PBIT
D. PBIDS
Question # 5
You have a Fabric tenant that contains a Microsoft Power Bl report named Report 1.Report1 includes a Python visual. Data displayed by the visual is grouped automaticallyand duplicate rows are NOT displayed. You need all rows to appear in the visual. Whatshould you do?
A. Reference the columns in the Python code by index.
B. Modify the Sort Column By property for all columns.
C. Add a unique field to each row.
D. Modify the Summarize By property for all columns.
Question # 6
You have a Fabric tenant tha1 contains a takehouse named Lakehouse1. Lakehouse1contains a Delta table named Customer.When you query Customer, you discover that the query is slow to execute. You suspectthat maintenance was NOT performed on the table.You need to identify whether maintenance tasks were performed on Customer.Solution: You run the following Spark SQL statement:REFRESH TABLE customerDoes this meet the goal?
A. Yes
B. No
Question # 7
You have a Fabric tenant that contains a new semantic model in OneLake.You use a Fabric notebook to read the data into a Spark DataFrame.You need to evaluate the data to calculate the min, max, mean, and standard deviationvalues for all the string and numeric columns.Solution: You use the following PySpark expression:df.explain()Does this meet the goal?
A. Yes
B. No
Question # 8
You have a Fabric tenant that contains a lakehouse.You plan to query sales data files by using the SQL endpoint. The files will be in anAmazon Simple Storage Service (Amazon S3) storage bucket.You need to recommend which file format to use and where to create a shortcut.Which two actions should you include in the recommendation? Each correct answerpresents part of the solution.NOTE: Each correct answer is worth one point.
A. Create a shortcut in the Files section.
B. Use the Parquet format
C. Use the CSV format.
D. Create a shortcut in the Tables section.
E. Use the delta format.
Question # 9
You have source data in a folder on a local computer.You need to create a solution that will use Fabric to populate a data store. The solutionmust meet the following requirements:• Support the use of dataflows to load and append data to the data store.• Ensure that Delta tables are V-Order optimized and compacted automatically. Which type of data store should you use?
A. a lakehouse
B. an Azure SQL database
C. a warehouse
D. a KQL database
Question # 10
You are analyzing the data in a Fabric notebook.You have a Spark DataFrame assigned to a variable named df.You need to use the Chart view in the notebook to explore the data manually.Which function should you run to make the data available in the Chart view?
A. displayMTML
B. show
C. write
D. display
Question # 11
You have a Fabric tenant that contains a warehouse.A user discovers that a report that usually takes two minutes to render has been running for45 minutes and has still not rendered.You need to identify what is preventing the report query from completing.Which dynamic management view (DMV) should you use?
A. sys.dm-exec_requests
B. sys.dn_.exec._sessions
C. sys.dm._exec._connections
D. sys.dm_pdw_exec_requests
Question # 12
You are the administrator of a Fabric workspace that contains a lakehouse namedLakehouse1. Lakehouse1 contains the following tables:• Table1: A Delta table created by using a shortcut• Table2: An external table created by using Spark• Table3: A managed tableYou plan to connect to Lakehouse1 by using its SQL endpoint. What will you be able to doafter connecting to Lakehouse1?
A. ReadTable3.
B. Update the data Table3.
C. ReadTable2.
D. Update the data in Table1.
Question # 13
You have a Fabric tenant that contains 30 CSV files in OneLake. The files are updateddaily.You create a Microsoft Power Bl semantic model named Modell that uses the CSV files asa data source. You configure incremental refresh for Model 1 and publish the model to aPremium capacity in the Fabric tenant.When you initiate a refresh of Model1, the refresh fails after running out of resources.What is a possible cause of the failure?
A. Query folding is occurring.
B. Only refresh complete days is selected.
C. XMLA Endpoint is set to Read Only.
D. Query folding is NOT occurring.
E. The data type of the column used to partition the data has changed.
Question # 14
You are analyzing customer purchases in a Fabric notebook by using PySpanc You havethe following DataFrames:
A. Option A
B. Option B
C. Option C
D. Option D
Question # 15
You have a Fabric tenant named Tenant1 that contains a workspace named WS1. WS1uses a capacity named C1 and contains a dawset named DS1. You need to ensure readwriteaccess to DS1 is available by using the XMLA endpoint. What should be modifiedfirst?
A. the DS1 settings
B. the WS1 settings
C. the C1 settings
D. the Tenant1 settings
Question # 16
You have a Fabric tenant that contains a machine learning model registered in a Fabricworkspace. You need to use the model to generate predictions by using the predictfunction in a fabric notebook. Which two languages can you use to perform model scoring?Each correct answer presents a complete solution. NOTE: Each correct answer is worthone point.
A. T-SQL
B. DAX EC.
C. Spark SQL
D. PySpark
Question # 17
You have a Fabric tenant that contains a lakehouse named lakehouse1. Lakehouse1contains a table named Table1.You are creating a new data pipeline.You plan to copy external data to Table1. The schema of the external data changesregularly.You need the copy operation to meet the following requirements:• Replace Table1 with the schema of the external data.• Replace all the data in Table1 with the rows in the external data.You add a Copy data activity to the pipeline. What should you do for the Copy dataactivity?
A. From the Source tab, add additional columns.
B. From the Destination tab, set Table action to Overwrite.
C. From the Settings tab, select Enable staging
D. From the Source tab, select Enable partition discovery
E. From the Source tab, select Recursively
Question # 18
You have a Fabric tenant that contains a data pipeline.You need to ensure that the pipeline runs every four hours on Mondays and Fridays.To what should you set Repeat for the schedule?
A. Daily
B. By the minute
C. Weekly
D. Hourly
Question # 19
You have a Fabric tenant that contains a takehouse named lakehouse1. Lakehouse1contains a Delta table named Customer.When you query Customer, you discover that the query is slow to execute. You suspectthat maintenance was NOT performed on the table.You need to identify whether maintenance tasks were performed on Customer.Solution: You run the following Spark SQL statement:DESCRIBE HISTORY customerDoes this meet the goal?
A. Yes
B. No
Question # 20
You have a Fabric tenant that contains a warehouse.Several times a day. the performance of all warehouse queries degrades. You suspect thatFabric is throttling the compute used by the warehouse.What should you use to identify whether throttling is occurring?
A. the Capacity settings
B. the Monitoring hub
C. dynamic management views (DMVs)
D. the Microsoft Fabric Capacity Metrics app
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