DP-600 EXAM WITH COMPLETE QUESTIONS AND 100%
VERIFIED ANSWERS
You want to use Apache Spark to explore data interactively in Microsoft Fabric.
What should you create?
A. Spark job definition.
B. Data Factory pipeline.
C. Notebook.
Notebook
You need to use Spark to analyze data in a CSV file. What's the simplest way to
accomplish this goal?
A. Load the file into a data frame.
B. Import the data into a table in a warehouse
C. Convert the data to Parquet format.
Load the file into a data frame.
Which method is used to split the data across folders when saving a data frame?
A. splitBy
B. distributeBy
C. partitionBy
partitionBy
Fill in the blank: "For each table, the lakehouse stores a folder containing Parquet
data files and a (...) folder in which transaction details are logged in JSON format".
,A. _delta_Log
B. log
C. parquet
_delta_Log
What is atomicity in ACID transactions?
A. transactions leave the database in a consistent state
B. transactions complete as a single unit of work
C. in-process transactions can't interfere with one another
D. when a transaction completes, the changes it made are persisted
transactions complete as a single unit of work
What is consistency in ACID transactions?
A. transactions leave the database in a consistent state
B. transactions complete as a single unit of work
C. in-process transactions can't interfere with one another
D. when a transaction completes, the changes it made are persisted
transactions leave the database in a consistent state
What is durability in ACID transactions?
A. when a transaction completes, the changes it made are persisted
B. transactions complete as a single unit of work
C. in-process transactions can't interfere with one another
D. transactions leave the database in a consistent state
when a transaction completes, the changes it made are persisted
What is isolation in ACID transactions?
,A. when a transaction completes, the changes it made are persisted
B. transactions complete as a single unit of work
C. in-process transactions can't interfere with one another
D. transactions leave the database in a consistent state
in-process transactions can't interfere with one another
Fill in the blank: "Dataframe that's saved as a (...) table means that the table
definition in the megastore and the underlying data files are both managed by the
Spark runtime for the Fabric lakehouse. Deleting the table will also delete the
underlying files from the Tables storage location for the lakehouse".
A. managed
B. external
managed
Fill in the blank: "(...) tables: in which the relational table definition in the
megastore is mapped to an alternative file storage location".
A. managed
B. external
external
True or False: "Deleting an external table from the lakehouse meta store does not
delete the associated data files".
A. True
B. False
True
Fill in the blank: "When using a delta table as a streaming source, only (...)
operations can be included in the stream. Data modifications will cause an error
unless you specify the ignoreChanges or ignoreDeletes option".
A. insert
, B. select
C. append
append
Fill in the blank: "The (...) option is used to write a checkpoint file that tracks the
state of the stream processing. This file enables you to recover from failure at the
point where stream processing left off".
A. Location
B. checkpoint location
C. checkpoint
D. checkpointGeoLocation
checkpoint location
Fill in the blank: "You can save the data frame as a delta table by using the (...)
method".
A. saveAsDelta
B. saveAsTable
C. saveAsDeltaParquet
saveAsDelta
Which of the following descriptions best fits Delta Lake?
A. Spark API for exporting data from a relational database into CSV files.
B. relational storage layer for Spark that supports tables based on Parquet files.
C. synchronization solution that replicates data between SQL Server and Spark.
relational storage layer for Spark that supports tables based on Parquet files.
You've loaded a Spark dataframe with data, that you now want to use in a delta
table. What format should you use to write the data frame to storage?
A. CSV
VERIFIED ANSWERS
You want to use Apache Spark to explore data interactively in Microsoft Fabric.
What should you create?
A. Spark job definition.
B. Data Factory pipeline.
C. Notebook.
Notebook
You need to use Spark to analyze data in a CSV file. What's the simplest way to
accomplish this goal?
A. Load the file into a data frame.
B. Import the data into a table in a warehouse
C. Convert the data to Parquet format.
Load the file into a data frame.
Which method is used to split the data across folders when saving a data frame?
A. splitBy
B. distributeBy
C. partitionBy
partitionBy
Fill in the blank: "For each table, the lakehouse stores a folder containing Parquet
data files and a (...) folder in which transaction details are logged in JSON format".
,A. _delta_Log
B. log
C. parquet
_delta_Log
What is atomicity in ACID transactions?
A. transactions leave the database in a consistent state
B. transactions complete as a single unit of work
C. in-process transactions can't interfere with one another
D. when a transaction completes, the changes it made are persisted
transactions complete as a single unit of work
What is consistency in ACID transactions?
A. transactions leave the database in a consistent state
B. transactions complete as a single unit of work
C. in-process transactions can't interfere with one another
D. when a transaction completes, the changes it made are persisted
transactions leave the database in a consistent state
What is durability in ACID transactions?
A. when a transaction completes, the changes it made are persisted
B. transactions complete as a single unit of work
C. in-process transactions can't interfere with one another
D. transactions leave the database in a consistent state
when a transaction completes, the changes it made are persisted
What is isolation in ACID transactions?
,A. when a transaction completes, the changes it made are persisted
B. transactions complete as a single unit of work
C. in-process transactions can't interfere with one another
D. transactions leave the database in a consistent state
in-process transactions can't interfere with one another
Fill in the blank: "Dataframe that's saved as a (...) table means that the table
definition in the megastore and the underlying data files are both managed by the
Spark runtime for the Fabric lakehouse. Deleting the table will also delete the
underlying files from the Tables storage location for the lakehouse".
A. managed
B. external
managed
Fill in the blank: "(...) tables: in which the relational table definition in the
megastore is mapped to an alternative file storage location".
A. managed
B. external
external
True or False: "Deleting an external table from the lakehouse meta store does not
delete the associated data files".
A. True
B. False
True
Fill in the blank: "When using a delta table as a streaming source, only (...)
operations can be included in the stream. Data modifications will cause an error
unless you specify the ignoreChanges or ignoreDeletes option".
A. insert
, B. select
C. append
append
Fill in the blank: "The (...) option is used to write a checkpoint file that tracks the
state of the stream processing. This file enables you to recover from failure at the
point where stream processing left off".
A. Location
B. checkpoint location
C. checkpoint
D. checkpointGeoLocation
checkpoint location
Fill in the blank: "You can save the data frame as a delta table by using the (...)
method".
A. saveAsDelta
B. saveAsTable
C. saveAsDeltaParquet
saveAsDelta
Which of the following descriptions best fits Delta Lake?
A. Spark API for exporting data from a relational database into CSV files.
B. relational storage layer for Spark that supports tables based on Parquet files.
C. synchronization solution that replicates data between SQL Server and Spark.
relational storage layer for Spark that supports tables based on Parquet files.
You've loaded a Spark dataframe with data, that you now want to use in a delta
table. What format should you use to write the data frame to storage?
A. CSV
