MCSA: Data Engineering with Azure Exam Collection – Page 2 – Microsoft Exam Dumps from PassLeader – Azure, Data, Dynamics 365, Microsoft 365, MCSA, MCSD, MCSE … Dumps VCE and PDF and Braindumps and Practice Tests

Apr 23

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QUESTION 11
You have a Microsoft Azure SQL data warehouse. The following statements are used to define file formats in the data warehouse:

You have an external PolyBase table named file_factPowerMeasurement that uses the FileFormat_ORC file format. You need to change file_ factPowerMeasurement to use the FileFormat_PARQUET file format. Which two statements should you execute? (Each correct answer presents part of the solution. Choose two.)

A.    CREATE EXTERNAL TABLE
B.    ALTER TABLE
C.    CREATE EXTERNAL TABLE AS SELECT
D.    ALTER EXTERNAL DATA SOURCE
E.    DROP EXTERNAL TABLE

Apr 23

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QUESTION 6
You need to use the Cognition.Vision.FaceDetector() function in U-SQL to analyze images. Which attribute can you detect by using the function?

A.    gender
B.    race
C.    weight
D.    hair color

Apr 23

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QUESTION 1
You are building a Microsoft Azure Stream Analytics job definition that includes inputs, queries, and outputs. You need to create a job that automatically provides the highest level of parallelism to the compute instances. What should you do?

A.    Configure event hubs and blobs to use the PartitionKey field as the partition ID.
B.    Set the partition key for the inputs, queries, and outputs to use the same partition folders.
Configure the queries to use uniform partition keys.
C.    Set the partition key for the inputs, queries, and outputs to use the same partition folders.
Configure the queries to use different partition keys.
D.    Define the number of input partitions to equal the number of output partitions.

Apr 23

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NEW QUESTION 1
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are implementing a batch processing solution by using Azure HDInsight. You have a table that contains sales data. You plan to implement a query that will return the number of orders by zip code. You need to minimize the execution time of the queries and to maximize the compression level of the resulting data. What should you do?

A.    Use a shuffle join in an Apache Hive query that stores the data in a JSON format.
B.    Use a broadcast join in an Apache Hive query that stores the data in an ORC format.
C.    Increase the number of spark.executor.cores in an Apache Spark job that stores the data in a text format.
D.    Increase the number of spark.executor.instances in an Apache Spark job that stores the data in a text format.
E.    Decrease the level of parallelism in an Apache Spark job that stores the data in a text format.
F.    Use an action in an Apache Oozie workflow that stores the data in a text format.
G.    Use an Azure Data Factory linked service that stores the data in Azure Data Lake.
H.    Use an Azure Data Factory linked service that stores the data in an Azure DocumentDB database.