70-762専門試験、Microsoft 70-762練習問題 & Developing SQL Databases - Omgzlook

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MCP 70-762 もし合格しないと、われは全額で返金いたします。

Omgzlookの70-762 - Developing SQL Databases専門試験試験問題集を利用したことがありますか。 Microsoft 70-762 日本語版受験参考書「Developing SQL Databases」認証試験に合格することが簡単ではなくて、Microsoft 70-762 日本語版受験参考書証明書は君にとってはIT業界に入るの一つの手づるになるかもしれません。しかし必ずしも大量の時間とエネルギーで復習しなくて、弊社が丹精にできあがった問題集を使って、試験なんて問題ではありません。

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Microsoft 70-762専門試験 - Omgzlookは君の悩みを解決できます。

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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 the series contains a unique solution that might meet the stated goals. Some questions sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You need to collect data from the following two sources:
* The performance counters of the operating system
* Microsoft SQL Server events
You must analyze the two datasets side-by side by using a single tool.
Solution: You use dynamic management views and SQL Server Profiler to collect performance data.
You use SQL Server Management Studio (SSMS) to analyze the data.
Does this meet the goal?
A. No
B. Yes
Answer: B

QUESTION NO: 2
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: 3
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: 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 is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You have a database named DB1. There is no memory-optimized filegroup in the database.
You have a table and a stored procedure that were created by running the following Transact-SQL statements:
The Employee table is persisted on disk. You add 2,000 records to the Employee table.
You need to create an index that meets the following requirements:
- Optimizes the performance of the stored procedure.
- Covers all the columns required from the Employee table.
- Uses FirstName and LastName as included columns.
- Minimizes index storage size and index key size.
What should you do?
A. Create a hash index on the table.
B. Create a nonclustered index on the table.
C. Create a clustered columnstore index on the table.
D. Create a nonclustered filtered index on the table.
E. Create a nonclustered columnstore index on the table.
F. Create a clustered index on the table.
Answer: D
Explanation
References: https://technet.microsoft.com/en-us/library/jj835095(v=sql.110).aspx

QUESTION NO: 5
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

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Updated: May 28, 2022