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Exam 70-457: Transition Your MCTS on SQL Server 2008 to MCSA: SQL Server 2012, Part 1
Published: June 11, 2012
Language(s): English, Japanese
Audience(s): IT Professionals
Technology: Microsoft SQL Server 2012
Type: Proctored Exam
Published: June 11, 2012
Language(s): English, Japanese
Audience(s): IT Professionals
Technology: Microsoft SQL Server 2012
Type: Proctored Exam
Exam 70-457 book : Transition Your MCTS on SQL Server 2008 to MCSA: SQL Server 2012, Part 1 Work with Data
•Query data by using SELECT statements.
◦This objective may include but is not limited to: use the ranking function to select top(X) rows for multiple categories in a single query; write and perform queries efficiently using the new code items such as synonyms and joins (except, intersect); implement logic which uses dynamic SQL and system metadata; write efficient, technically complex SQL queries, including all types of joins versus the use of derived tables; determine what code may or may not execute based on the tables provided; given a table with constraints, determine which statement set would load a table; use and understand different data access technologies; CASE versus ISNULL versus COALESCE
•Implement sub-queries.
◦This objective may include but is not limited to: identify problematic elements in query plans; pivot and unpivot; apply operator; cte statement; with statement
•Implement data types.
•Query data by using SELECT statements.
◦This objective may include but is not limited to: use the ranking function to select top(X) rows for multiple categories in a single query; write and perform queries efficiently using the new code items such as synonyms and joins (except, intersect); implement logic which uses dynamic SQL and system metadata; write efficient, technically complex SQL queries, including all types of joins versus the use of derived tables; determine what code may or may not execute based on the tables provided; given a table with constraints, determine which statement set would load a table; use and understand different data access technologies; CASE versus ISNULL versus COALESCE
•Implement sub-queries.
◦This objective may include but is not limited to: identify problematic elements in query plans; pivot and unpivot; apply operator; cte statement; with statement
•Implement data types.
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Question: 1
You are developing a database app lication by using Microsoft SQL Server 2012. An application that
uses a database begins to run slowly. Your investigation shows the root cause is a query against a
read -only table that has a clustered index. The query returns the following six columns:
• One column in its WHERE clause contained in a non-clustered index
• Four additional columns
• One COUNT (*) column based on a grouping of the four additional columns
You need to optimize the statement. What should you do?
A. Add a HASH hint to the query.
B. Add a LOOP hint to the query.
C. Add a FORCESEEK hint to the query.
D. Add an INCLUDE clause to the index.
E. Add a FORCESCAN hint to the Attach query.
F. Add a columnstore index to cover the query.
G. Enable the optimize for ad hoc workloads option .
H. Cover the unique clustered index with a columnstore index.
I. Include a SET FORCEPLAN ON statement before you run the query.
J. Include a SET STATISTICS PROFILE ON statement before you run the query.
K. Include a SET STATISTICS SHOWPLAN_XML ON statement before you run the query.
L. Include a SET TRANSACTION ISOLATION LEVEL REPEATABLE READ statement before you run the
query.
M. Include a SET TRANSACTION ISOLATION LEVEL SNAPSHOT statement before you run the query.
N. Include a SET TRANSACTION ISOLATION L EVEL SERIALIZABLE statement before you run the query.
Answer: F
Question: 1
You are developing a database app lication by using Microsoft SQL Server 2012. An application that
uses a database begins to run slowly. Your investigation shows the root cause is a query against a
read -only table that has a clustered index. The query returns the following six columns:
• One column in its WHERE clause contained in a non-clustered index
• Four additional columns
• One COUNT (*) column based on a grouping of the four additional columns
You need to optimize the statement. What should you do?
A. Add a HASH hint to the query.
B. Add a LOOP hint to the query.
C. Add a FORCESEEK hint to the query.
D. Add an INCLUDE clause to the index.
E. Add a FORCESCAN hint to the Attach query.
F. Add a columnstore index to cover the query.
G. Enable the optimize for ad hoc workloads option .
H. Cover the unique clustered index with a columnstore index.
I. Include a SET FORCEPLAN ON statement before you run the query.
J. Include a SET STATISTICS PROFILE ON statement before you run the query.
K. Include a SET STATISTICS SHOWPLAN_XML ON statement before you run the query.
L. Include a SET TRANSACTION ISOLATION LEVEL REPEATABLE READ statement before you run the
query.
M. Include a SET TRANSACTION ISOLATION LEVEL SNAPSHOT statement before you run the query.
N. Include a SET TRANSACTION ISOLATION L EVEL SERIALIZABLE statement before you run the query.
Answer: F
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