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70-762 PDF DEMO:

QUESTION NO: 1
Note: This question is part of a series of questions that present the same scenario. Each question in this series contains a unique solution. Determine whether the solution meets the stated goals.
The Account table was created by using the following Transact-SQL statement:
There are more than 1 billion records in the Account table. The Account Number column uniquely identifies each account. The ProductCode column has 100 different values. The values are evenly distributed in the table. Table statistics are refreshed and up to date.
You frequently run the following Transact-SQL SELECT statements:
You must avoid table scans when you run the queries.
You need to create one or more indexes for the table.
Solution: You run the following Transact-SQL statement:
CREATE CLUSTERED INDEX PK_Account ON Account(ProductCode);
Does the solution meet the goal?
A. No
B. Yes
Answer: A
Explanation
We need an index on the productCode column as well.
References: https://msdn.microsoft.com/en-us/library/ms190457.aspx

QUESTION NO: 2
Database users report that SELECT statements take a long time to return results. You run the following Transact-SQL statement:
You need to create one nonclustered covering index that contains all of the columns in the above table. You must minimize index key size.
Which Transact-SQL statement should you run?
A. CREATE NONCLUSTERED INDEX IX_User ON Users (UserStatus, CountryCode) INCLUDE
(UserName);
B. CREATE NONCLUSTERED INDEX IX_User ON Users (CountryCode, UserStatus, UserName);
C. CREATE NONCLUSTERED INDEX IX_User ON Users (CountryCode, UserStatus) INCLUDE
(UserName);
D. CREATE NONCLUSTERED INDEX IX_User ON Users (CountryCode, UserName);
Answer: C
Explanation
https://docs.microsoft.com/en-us/sql/relational-databases/indexes/create-indexes-with-included- columns

QUESTION NO: 3
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets the stated goals.
You have a table that has a clustered index and a nonclustered index. The indexes use different columns from the table. You have a query named Users report that Query1 takes a long time to report results. You run and review the following statistics for an index seek operation:
You need to resolve the performance issue.
Solution: You rebuild the clustered index.
Does the solution meet the goal?
A. No
B. Yes
Answer: A
Explanation
The query uses the nonclustered index, so improving the clustered index will not help.
We should update statistics for the nonclustered index.

QUESTION NO: 4
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 independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are a database developer for a company. The company has a server that has multiple physical disks. The disks are not part of a RAID array. The server hosts three Microsoft SQL Server instances.
There are many SQL jobs that run during off-peak hours.
You must monitor the SQL Server instances in real time and optimize the server to maximize throughput, response time, and overall SQL performance.
You need to create a baseline set of metrics to report how the computer running SQL Server operates under normal load. The baseline must include the resource usage associated with the server processes.
What should you do?
A. Create a SQL Profiler trace.
B. Create a sp_configure 'max server memory' query.
C. Create a sys.dm_os_memory_objects query.
D. Create a Performance Monitor Data Collector Set.
E. Create asys.dm_os_wait_stats query.
F. Create an Extended Event.
G. Create a sys.dm_os_waiting_tasks query.
H. Create a sys.dm_exec_sessions query.
Answer: C
Explanation
sys.dm_os_memory_objects returns memory objects that are currently allocated by SQL Server. You can usesys.dm_os_memory_objects to analyze memory use and to identify possible memory leaks.
Example: The following example returns the amount of memory allocated by each memory object type.
SELECT SUM (pages_in_bytes) as 'Bytes Used', type
FROMsys.dm_os_memory_objects
GROUP BY type
ORDER BY 'Bytes Used' DESC;
GO

QUESTION NO: 5
You are reviewing the execution plans in the query plan cache. You observe the following:
- There are a large number of single use plans.
- There are a large number of simple execution plans that use multiple CPU cores.
You need to configure the server to optimize query plan execution.
Which two setting should you modify on the properties page for the Microsoft SQL Server instance?
To answer, select the appropriate settings in the answer area.
Answer:
Explanation
* Optimize for ad hoc workloads
The optimize for ad hoc workloads option is used to improve the efficiency of the plan cache for workloads that contain many single use ad hoc batches. When this option is set to 1, the Database
Engine stores a small compiled plan stub in the plan cache when a batch is compiled for the first time, instead of the full compiled plan. This helps to relieve memory pressure by not allowing the plan cache to become filled with compiled plans that are not reused.
* Cost Threshold for Parallelism
Use the cost threshold for parallelism option to specify the threshold at which Microsoft SQL Server creates and runs parallel plans for queries. SQL Server creates and runs a parallel plan for a query only when the estimated cost to run a serial plan for the same query is higher than the value set in cost threshold for parallelism. The cost refers to an estimated elapsed time in seconds required to run the serial plan on a specific hardware configuration.
5 means 5 seconds, but is is 5 seconds on a machine internal to Microsoft from some time in the
1990s.
There's no way to relate it to execution time on your current machine, so we treat it as a pure number now.
Raising it to 50 is a common suggestion nowadays, so that more of your simpler queries run on a single thread.

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Updated: May 28, 2022