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QUESTION NO: 1
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 Microsoft SQL Server database named DB1 that contains the following tables:
You frequently run the following queries:
There are no foreign key relationships between TBL1 and TBL2.
You need to minimize the amount of time required for the two queries to return records from the tables.
What should you do?
A. Create unique constraints on both TBL1 and TBL2. Create a partitioned view that combines columns from TBL1 and TBL2.
B. Create a nonclustered index on tbl2 only.
C. Create an indexed view that combines columns from TBL1 and TBL2.
D. Drop existing indexes on TBL1 and then create a clustered columnstore index. Create a nonclustered columnstore index on TBL1. Create a nonclustered index on TBL2.
E. Create check constraints on both TBL1 and tbl2. Create a partitioned view that combines columns from TBL1 and tbl2.
F. Drop existing indexes on TBL1 and then create a cluwered columnstore index. Create a nonclustered columnstore index on TBL1. Make no changes to TBL2.
G. Create a clustered index on TBL1 Create a nonclustered index on tbl2 and add the most frequently queried columns as included columns.
H. Create clustered indexes on TBL1 and TBL2.
Answer: F
QUESTION NO: 2
You manage a database with tables named Invoice and InvoiceDetails. Each invoice may have multiple records.
Users update the InvoiceDetails table by using a .NET web application. The application retrieves records from both tables and updates the tables by running an inline update statement.
Users experience slow performance when updating records in the application. The solution must meet the following requirements:
* Must use a stored procedure.
* Must not use inline update statements
* Must use a table-valued parameter.
* Must call the stored procedure to update all records.
You need to optimize performance.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation
Box 1: Create a user-defined table type...
Table-valued parameters are declared by using user-defined table types. You can use table-valued parameters to send multiple rows of data to a Transact-SQL statement or a routine, such as a stored procedure or function, without creating a temporary table or many parameters.
Box 2: ..read-only input parameter.
Table-valued parameters must be passed as input READONLY parameters to Transact-SQL routines.
Box 3:
Example
The following example uses Transact-SQL and shows you how to create a table-valued parameter type, declare a variable to reference it, fill the parameter list, and then pass the values to a stored procedure.
USE AdventureWorks2012;
/* Create a table type. */
CREATE TYPE LocationTableType AS TABLE
( LocationName VARCHAR(50)
, CostRate INT );
GO
/* Create a procedure to receive data for the table-valued parameter. */ CREATE PROCEDURE dbo.
usp_InsertProductionLocation
@TVP LocationTableType READONLY
Etc.
/* Declare a variable that references the type. */
DECLARE @LocationTVP AS LocationTableType;
/* Add data to the table variable. */
INSERT INTO @LocationTVP (LocationName, CostRate)
SELECT Name, 0.00
FROM AdventureWorks2012.Person.StateProvince;
/* Pass the table variable data to a stored procedure. */
EXEC usp_InsertProductionLocation @LocationTVP;
GO
References:
https://docs.microsoft.com/en-us/sql/relational-databases/tables/use-table-valued-parameters- database-engine?vie
QUESTION NO: 3
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 the series.
You have a database named Sales that contains the following database tables. Customer, Order, and
Products.
The Products table and the order table shown in the following diagram.
The Customer table includes a column that stores the date for the last order that the customer placed.
You plan to create a table named Leads. The Leads table is expected to contain approximately 20,000 records.
Storage requirements for the Leads table must be minimized.
You need to begin to modify the table design to adhere to third normal form.
Which column should you remove for each table? To answer? drag the appropriate column names to the correct locations. Each column name may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
Answer:
Explanation
In the Products table the SupplierName is dependent on the SupplierID, not on the ProductID.
In the Orders table the ProductName is dependent on the ProductID, not on the OrderID.
Note:
A table is in third normal form when the following conditions are met:
* It is in second normal form.
* All non-primary fields are dependent on the primary key.
Second normal form states that it should meet all the rules for First 1Normnal Form and there must be no partial dependencies of any of the columns on the primary key.
First normal form (1NF) sets the very basic rules for an organized database:
* Define the data items required, because they become the columns in a table. Place related data items in a table.
* Ensure that there are no repeating groups of data.
* Ensure that there is a primary key.
References: https://www.tutorialspoint.com/sql/third-normal-form.htm
QUESTION NO: 4
You create tables by using the following Transact-SQL statements:
Each customer may have multiple addresses but only one is the primary address.
You must plan a solution that meets the following requirements:
* Return both customers and address information.
* Return only the primary address of the customer.
* Allow updates of all customer information and address details with the exception of the identity columns and the IsActive column.
Which three actions should you perform is sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
QUESTION NO: 5
You have a reporting application that uses a table named Table1. You deploy a new batch update process to perform updates to Table1.
The environment is configured with the following properties:
* The database is configured with the default isolation setting.
* The application and process use the default transaction handling.
You observe the application cannot access any rows that are in use by the process.
You have the following requirements:
* Ensure the application is not blocked by the process.
* Ensure the application has a consistent view of the data
* Ensure the application does not read dirty data.
You need to resolve the issue and meet the requirements with the least amount of administrative effort.
What should you do?
A. Enable the database for the READ_COMITTED_SNAPSHOT isolation level.
B. Enable the database for the ALLOW_SNAPSHOT_ISOLATION isolation level. Modify the application and the update process for the SNAPSHOT isolation level.
C. Enable the database for the ALLOW_SNAPSHOT_ISOLATION isolation level. Modify the application for the SERIALIZABLE isolation level.
D. Enable the application for the WITH (NOLOCK) hint.
Answer: A
Explanation
Snapshot isolation must be enabled by setting the ALLOW_SNAPSHOT_ISOLATION ON database option before it is used in transactions. This activates the mechanism for storing row versions in the temporary database (tempdb).
READ COMMITTED is the default isolation level for SQL Server. It prevents dirty reads by specifying that statements cannot read data values that have been modified but not yet committed by other transactions. Other transactions can still modify, insert, or delete data between executions of individual statements within the current transaction, resulting in non-repeatable reads, or "phantom" data.
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Updated: May 28, 2022