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QUESTION 22
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 stated goals.
You have a mission-critical application that stores data in a Microsoft SQL Server instance. The application runs several financial reports. The reports use a SQL Server-authenticated login named Reporting_User. All queries that write data to the database use Windows authentication. Users report that the queries used to provide data for the financial reports take a long time to complete. The queries consume the majority of CPU and memory resources on the database server. As a result, read-write queries for the application also take a long time to complete. You need to improve performance of the application while still allowing the report queries to finish.
Solution: You create a snapshot of the database. You configure all report queries to use the database snapshot.
Does the solution meet the goal?

A.    Yes
B.    No

Answer: B
Explanation:
Use a Resource Governor instead.
https://msdn.microsoft.com/en-us/library/bb933866.aspx

QUESTION 23
A company has an on-premises Microsoft SQL Server 2014 environment. The company has a main office in Seattle, and remote offices in Amsterdam and Tokyo. You plan to deploy a Microsoft Azure SQL Database instance to support a new application. You expect to have 100 users from each office. In the past, users at remote sites reported issues when they used applications hosted at the Seattle office. You need to optimize performance for users running reports while minimizing costs. What should you do?

A.    Implement an elastic pool.
B.    Implement a standard database with readable secondaries in Asia and Europe, and then migrate the application.
C.    Implement replication from an on-premises SQL Server database to the Azure SQL Database instance.
D.    Deploy a database from the Premium service tier.

Answer: B
Explanation:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-geo-replication-transact-sql#add-secondary-database

Case Study 1 – Automobile Parts
Background
You manage the Microsoft SQL Server environment for a company that manufactures and sells automobile parts. The environment includes the following servers: SRV1 and SRV2. SRV1 has 16 logical cores and hosts a SQL Server instance that supports a mission-critical application. The application has approximately 30,000 concurrent users and relies heavily on the use of temporary tables. The environment also includes the following databases: DB1, DB2, and Reporting. The Reporting database is protected with Transparent Data Encryption (TDE). You plan to migrate this database to a new server. You detach the database and copy it to the new server. You are performing tuning on a SQL Server database instance. The application which uses the database was written using an object relationship mapping (ORM) tool which maps tables as objects within the application code. There are 30 stored procedures that are regularly used by the application.
passleader-70-765-dumps-01

QUESTION 24
Hotspot Question
You need to resolve the identified issues. Use the drop-down menus to select the answer choice that answers each question based on the information presented in the graphic.
passleader-70-765-dumps-241

Answer:
passleader-70-765-dumps-242
Explanation:
From exhibit we see:
– Cost Threshold of Parallelism: 5
– Optimize for Ad Hoc Workloads: false
– Max Degree of Parallelism: 0 (This is the default setting, which enables the server to determine the maximum degree of parallelism. It is fine.)
– Locks: 0
– Query Wait: -1
Box 1: Optimize for Ad Hoc Workload. Change the Optimize for Ad Hoc Workload setting from false to 1/True. 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.


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