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NEW QUESTION: 1
You use SQL Server 2014 to maintain the data used by applications at your company.
You want to execute two statements.
You need to guarantee that either both statements succeed, or both statements fail together as a batch.
Which code should you use?

A. Option B
B. Option C
C. Option D
D. Option A
E. Option E
Answer: C
Explanation:
Explanation/Reference:
Explanation: Structure should be:


NEW QUESTION: 2
Identify three setups In Oracle Receivables that control how discounts are calculated.
(Choose three.)
A. payment terms
B. system options
C. profile options
D. customer profiles
E. receipt classes
Answer: A,B,C
Explanation:
Explanation/Reference:
http://download.oracle.com/docs/cd/A60725_05/html/comnls/us/ar/dscount.htm

NEW QUESTION: 3
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 create a table by running the following Transact-SQL statement:

You need to return normalized data for all customers that were added in the year 2014.
Which Transact-SQL statement should you run?


A. Option D
B. Option B
C. Option G
D. Option F
E. Option H
F. Option C
G. Option A
H. Option E
Answer: C

NEW QUESTION: 4
Note: This question is part of a series of questions that present the same Scenario.
Each question I the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution while others might not have correct solution.
You are implementing a batch processing solution by using Azure HDlnsight.
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. Increase the number of spark.executor.cores in an Apache Spark job that stores the data in a text format.
B. Use an action in an Apache Oozie workflow that stores the data in a text format.
C. Use an Azure Data Factory linked service that stores the data In an Azure DocumentDB database.
D. Use a shuffle join in an Apache Hive query that stores the data in a JSON format.
E. Increase the number of spark.executor.instances in an Apache Spark job that stores the data in a text format.
F. Use a broadcast join in an Apache Hive query that stores the data in an ORC format.
G. Decrease the level of parallelism in an Apache Spark job that Mores the data in a text format.
H. Use an Azure Data Factory linked service that stores the data in Azure Data lake.
Answer: F