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70-764 PDF DEMO:

QUESTION NO: 1
Overview
Application Overview
Contoso, Ltd., is the developer of an enterprise resource planning (ERP) application.
Contoso is designing a new version of the ERP application. The previous version of the ERP application used SQL Server 2008 R2.
The new version will use SQL Server 2014.
The ERP application relies on an import process to load supplier data. The import process updates thousands of rows simultaneously, requires exclusive access to the database, and runs daily.
You receive several support calls reporting unexpected behavior in the ERP application. After analyzing the calls, you conclude that users made changes directly to the tables in the database.
Tables
The current database schema contains a table named OrderDetails.
The OrderDetails table contains information about the items sold for each purchase order.
OrderDetails stores the product ID, quantities, and discounts applied to each product in a purchase order.
The product price is stored in a table named Products. The Products table was defined by using the
SQL_Latin1_General_CP1_CI_AS collation.
A column named ProductName was created by using the varchar data type. The database contains a table named Orders.
Orders contains all of the purchase orders from the last 12 months. Purchase orders that are older than 12 months are stored in a table named OrdersOld.
The previous version of the ERP application relied on table-level security.
Stored Procedures
The current version of the database contains stored procedures that change two tables. The following shows the relevant portions of the two stored procedures:
Customer Problems
Installation Issues
The current version of the ERP application requires that several SQL Server logins be set up to function correctly. Most customers set up the ERP application in multiple locations and must create logins multiple times.
Index Fragmentation Issues
Customers discover that clustered indexes often are fragmented. To resolve this issue, the customers defragment the indexes more frequently. All of the tables affected by fragmentation have the following columns that are used as the clustered index key:
Backup Issues
Customers who have large amounts of historical purchase order data report that backup time is unacceptable.
Search Issues
Users report that when they search product names, the search results exclude product names that contain accents, unless the search string includes the accent.
Missing Data Issues
Customers report that when they make a price change in the Products table, they cannot retrieve the price that the item was sold for in previous orders.
Query Performance Issues
Customers report that query performance degrades very quickly. Additionally, the customers report that users cannot run queries when SQL Server runs maintenance tasks. Import Issues During the monthly import process, database administrators receive many supports call from users who report that they cannot access the supplier data. The database administrators want to reduce the amount of time required to import the data.
Design Requirements
File Storage Requirements
The ERP database stores scanned documents that are larger than 2 MB. These files must only be accessed through the ERP application. File access must have the best possible read and write performance.
Data Recovery Requirements
If the import process fails, the database must be returned to its prior state immediately.
Security Requirements
You must provide users with the ability to execute functions within the ERP application, without having direct access to the underlying tables.
Concurrency Requirements
You must reduce the likelihood of deadlocks occurring when Sales.Prod and Sales.Proc2 execute.
You need to recommend a solution that addresses the index fragmentation and index width issue.
What should you include in the recommendation? (Each correct answer presents part of the solution.
Choose all that apply.)
A. Change the data type of the lastModified column to smalldatetime.
B. Remove the modifiedBy column from the clustered index.
C. Change the data type of the modifiedBy column to tinyint.
D. Remove the id column from the clustered index.
E. Remove the lastModified column from the clustered index.
F. Change the data type of the id column to bigint.
Answer: B,E
Explanation
Scenario: Index Fragmentation Issues Customers discover that clustered indexes often are fragmented. To resolve this issue, the customers defragment the indexes more frequently. All of the tables affected by fragmentation have the following columns that are used as the clustered index key:

QUESTION NO: 2
Overview
General Overview
ADatum Corporation has offices in Miami and Montreal.
The network contains a single Active Directory forest named adatum.com. The offices connect to each other by using a WAN link that has 5-ms latency.
A: Datum standardizes its database platform by using SQL Server
2014 Enterprise edition.
Databases
Each office contains databases named Sales, Inventory, Customers, Products, Personnel, and Dev.
Servers and databases are managed by a team of database administrators. Currently, all of the database administrators have the same level of permissions on all of the servers and all of the databases.
The Customers database contains two tables named Customers and Classifications.
The following graphic shows the relevant portions of the tables:
The following table shows the current data in the Classifications table:
The Inventory database is updated frequently.
The database is often used for reporting.
A full backup of the database currently takes three hours to complete.
Stored Procedures
A stored procedure named USP_1 generates millions of rows of data for multiple reports. USP_1 combines data from five different tables from the Sales and Customers databases in a table named
Table1.
After Table1 is created, the reporting process reads data from Table1 sequentially several times.
After the process is complete, Table1 is deleted.
A stored procedure named USP_2 is used to generate a product list. The product list contains the names of products grouped by category.
USP_2 takes several minutes to run due to locks on the tables the procedure accesses. The locks are caused by USP_1 and USP_3.
A stored procedure named USP_3 is used to update prices. USP_3 is composed of several UPDATE statements called in sequence from within a transaction.
Currently, if one of the UPDATE statements fails, the stored procedure fails. A stored procedure named USP_4 calls stored procedures in the Sales, Customers, and Inventory databases.
The nested stored procedures read tables from the Sales, Customers, and Inventory databases.
USP_4 uses an EXECUTE AS clause.
All nested stored procedures handle errors by using structured exception handling. A stored procedure named USP_5 calls several stored procedures in the same database. Security checks are performed each time USP_5 calls a stored procedure.
You suspect that the security checks are slowing down the performance of USP_5. All stored procedures accessed by user applications call nested stored procedures.
The nested stored procedures are never called directly.
Design Requirements
Data Recovery
You must be able to recover data from the Inventory database if a storage failure occurs. You have a
Recovery Time Objective (RTO) of 5 minutes.
You must be able to recover data from the Dev database if data is lost accidentally. You have a
Recovery Point Objective (RPO) of one day.
Classification Changes
You plan to change the way customers are classified. The new classifications will have four levels based on the number of orders. Classifications may be removed or added in the future. Management requests that historical data be maintained for the previous classifications. Security A group of junior database administrators must be able to manage security for the Sales database. The junior database administrators will not have any other administrative rights.
A: Datum wants to track which users run each stored procedure.
Storage
ADatum has limited storage. Whenever possible, all storage space should be minimized for all databases and all backups.
Error Handling
There is currently no error handling code in any stored procedure.
You plan to log errors in called stored procedures and nested stored procedures. Nested stored procedures are never called directly.
You need to recommend a solution to minimize the amount of time it takes to execute USP_1. With what should you recommend replacing Table1?
A. A table variable
B. A temporary table
C. A function
D. An indexed view
Answer: B
Explanation
Scenario:
A stored procedure named USP_1 generates millions of rows of data for multiple reports. USP_1 combines data from five different tables from the Sales and Customers databases in a table named
Table1.
After Table1 is created, the reporting process reads data from a table in the Products database and searches for information in Table1 based on input from the Products table. After the process is complete, Table1 is deleted.

QUESTION NO: 3
You administer a Microsoft SQL Server 2016 database instance.
You create a new user named UserA. You need to ensure that UserA is able to create SQL Server
Agent jobs and to execute SQL Server Agent jobs.
To which role should you add UserA?
A. RSExecRole
B. Securityadmin
C. DatabaseMailUserRole
D. SQLAgentUserRole
Answer: D

QUESTION NO: 4
You manage a database named DB1 that uses the following filegroups:
The database is configured to use full recovery model. Transaction logs are backed up to a backup set named TLogBackup.
The PRIMARY and FG2 for DB1
You need to design a piecemeal restore plan that meets all the above requirements. You need to bring critical filegroups online as soon as possible while minimizing restoration time. All damaged filegroups must be online after the restore operation completes.
Which five actions should you perform in sequence? To ansjver, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation
Step 1: Perform a differential database backup...
Step 2: Perform a tail-log backup...
A tail-log backup captures any log records that have not yet been backed up (the tail of the log) to prevent work loss and to keep the log chain intact. Before you can recover a SQL Server database to its latest point in time, you must back up the tail of its transaction log. The tail-log backup will be the last backup of interest in the recovery plan for the database.
Step 3:
The PRIMARY and FG2 for DB1 are damaged. FG1 and FG3 are intact.
Step 4:
Transaction logs are backed up to a backup set named TLogBackup.
Step 5:
The PRIMARY and FG2 for DB1 are damaged.
References:
https://docs.microsoft.com/en-us/sql/relational-databases/backup-restore/restore-files-and- filegroups-sql-server?v
https://docs.microsoft.com/en-us/sql/relational-databases/backup-restore/tail-log-backups-sql- server?view=sql-se

QUESTION NO: 5
You have multiple Microsoft SQL Server databases that are deployed in an Always On availability group. You configure the SQL Server Agent service to start automatically.
You need to automate backups for all user databases.
What should you create?
A. SQL Agent job
B. SQL Agent operator
C. SQL Server message
D. SQL script
Answer: A
Explanation
To schedule backups using a SQL Server Agent job
To automate and schedule a backup with SQL Server Agent:
* In the Object Explorer panel, under the SQL Server Agent node, right click Jobs and select New job from the context menu
* In the New Job dialog enter a job's name
* Under the Steps tab click on the New button and create a backup step by inserting a T-SQL statement. In this case the CHECKSUM clause has to be included in T-SQL code.
* Click ok to add a step, and click OK to create a job
* To schedule a job, in the New Job dialog, under the Schedule tab click New.
* In the Job Schedule select an occurring frequency, duration and a start date and click OK:
* To check a created job in the Object Explorer pane and under the SQL Server Agent Jobs node right click the job create above and select the Start job at step option References:
https://sqlbackupandftp.com/blog/how-to-automate-sql-server-database-backups

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Updated: May 28, 2022