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070-764 PDF DEMO:
QUESTION NO: 1
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: 2
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: 3
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: 4
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
QUESTION NO: 5
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
Start of repeated scenario.
You have five servers that run Microsoft Windows 2012 R2. Each server hosts a Microsoft SQL Server instance. The topology for the environment is shown in the following diagram.
You have an Always On Availability group named AG1. The details for AG1 are shown in the following table.
Instance1 experiences heavy read-write traffic. The instance hosts a database named
OperationsMain that is four terabytes (TB) in size. The database has multiple data files and filegroups.
One of the filegroups is read_only and is half of the total database size.
Instance4 and Instance5 are not part of AG1. Instance4 is engaged in heavy read-write I/O.
Instance5 hosts a database named StagedExternal. A nightly BULK INSERT process loads data into an empty table that has a rowstore clustered index and two nonclustered rowstore indexes.
You must minimize the growth of the StagedExternal database log file during the BULK INSERT operations and perform point-in-time recovery after the BULK INSERT transaction. Changes made must not interrupt the log backup chain.
You plan to add a new instance named Instance6 to a datacenter that is geographically distant from
Site1 and Site2. You must minimize latency between the nodes in AG1.
All databases use the full recovery model. All backups are written to the network location
\\SQLBackup\. A separate process copies backups to an offsite location. You should minimize both the time required to restore the databases and the space required to store backups. The recovery point objective (RPO) for each instance is shown in the following table.
Full backups of OperationsMain take longer than six hours to complete. All SQL Server backups use the keyword COMPRESSION.
You plan to deploy the following solutions to the environment. The solutions will access a database named DB1 that is part of AG1.
* Reporting system: This solution accesses data inDB1with a login that is mapped to a database user that is a member of the db_datareader role. The user has EXECUTE permissions on the database.
Queries make no changes to the data. The queries must be load balanced over variable read-only replicas.
* Operations system: This solution accesses data inDB1with a login that is mapped to a database user that is a member of the db_datareader and db_datawriter roles. The user has EXECUTE permissions on the database. Queries from the operations system will perform both DDL and DML operations.
The wait statistics monitoring requirements for the instances are described in the following table.
End of repeated scenario.
You need to create a backup plan for Instance4.
Which backup plan should you create?
A. Weekly full backups, nightly differential backups, transaction log backups every 12 hours.
B. Full backups every 60 minutes, transaction log backups every 30 minutes.
C. Weekly full backups, nightly differential. No transaction log backups are necessary.
D. Weekly full backups, nightly differential backups, transaction log backups every 30 minutes.
Answer: D
Explanation
Scenario: Instance4 is engaged in heavy read-write I/O. The Recovery Point Objective of Instance4 is
60 minutes.
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Updated: May 28, 2022