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QUESTION 71
You are developing a Microsoft SQL Server database.
You create a view that performs the following tasks:
Joins 10 tables that contain up to 400,000 records each.
Performs aggregations on 4 fields.
The view is frequently used in several detailed reports.
You need to improve the performance of the reports. What should you do?
A. Convert the view into a table-valued function
B. Convert the view into an indexed view
C. Convert the view into a stored procedure and retrieve the result from the stored procedure into a temporary table
D. Convert the view into a Common Table Expression (CTE)
Answer: B
Explanation:
The first index created on a view must be a unique clustered index. After the unique clustered index has been created, you can create more nonclustered indexes. Creating a unique clustered index on a view improves query performance because the view is stored in the database in the same way a table with a clustered index is stored. The query optimizer may use indexed views to speed up the query execution. The view does not have to be referenced in the query for the optimizer to consider that view for a substitution.
QUESTION 72
Is the following statement TRUE or FALSE?
JSON is not a built-in data type in SQL Server 2016, and SQL Server 2016 does not have custom JSON indexes?
A. TRUE
B. FALSE
Answer: A
QUESTION 73
The !> operator is a comparison operator that compares two expressions.
However, if ANSI_NULLS is set to ON and one of the operands is NULL, what will the result be?
expression !> expression (NULL)
A. FALSE
B. 0
C. TRUE
D. NULL
Answer: D
Explanation:
If either or both operands are NULL and SET ANSI_NULLS is set to ON, the result is NULL. If SET ANSI_NULLS is set to OFF, the result is FALSE if one of the operands is NULL, and TRUE if both operands are NULL.
QUESTION 74
You are developing a SQL Server database that contains a heap named OrdersArchive.
You write the following Transact-SQL query:
INSERT INTO OrdersArchive
SELECT * FROM CompletedOrders
You need to optimize transaction logging and locking for the statement.
Which table hint should you use?
A. HOLDLOCK
B. TABLOCK
C. XLOCK
D. ROWLOCK
Answer: B
Explanation:
Table hints override the default behavior of the query optimizer for the duration of the data manipulation language (DML) statement by specifying a locking method, one or more indexes, a query-processing operation such as a table scan or index seek, or other options. Table hints are specified in the FROM clause of the DML statement and affect only the table or view referenced in that clause.
When importing data into a heap by using the INSERT INTO SELECT FROM statement, you can enable optimized logging and locking for the statement by specifying the TABLOCK hint for the target table. In addition, the recovery model of the database must be set to simple or bulk- logged.
QUESTION 75
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 question 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.
A database has two tables as shown in the following database diagram:
You need to list all provinces that have at least two large cities.
A large city is defined as having a population of at least one million residents.
The query must return the following columns:
Solution: You run the following Transact-SQL statement:
Does the solution meet the goal?
A. Yes
B. No
Answer: A
Explanation:
The requirement to list all provinces that have at least two large cities is meet by the WHERE CitySummary.LargeCityCount >=2 clause.
CROSS APPLY will work fine here.
Note:
The APPLY operator allows you to invoke a table-valued function for each row returned by an outer table expression of a query. The table-valued function acts as the right input and the outer table expression acts as the left input. The right input is evaluated for each row from the left input and the rows produced are combined for the final output. The list of columns produced by the APPLY operator is the set of columns in the left input followed by the list of columns returned by the right input.
There are two forms of APPLY: CROSS APPLY and OUTER APPLY. CROSS APPLY returns only rows from the outer table that produce a result set from the table-valued function. OUTER APPLY returns both rows that produce a result set, and rows that do not, with NULL values in the columns produced by the table-valued function.
References: https://technet.microsoft.com/en-us/library/ms175156(v=sql.105).aspx
QUESTION 76
You create a table named Products.Sales by running the following Transact-SQL statement:
CREATE TABLE Products.Sales (
SalesId int IDENTIFY(1,1) PRIMARY KEY,
SalesDate DateTime NOT NULL,
SalesAmount decimal(18,2) NULL
)
You add the following data to the table.
You are developing a report to display monthly sales data.
You need to create a Transact-SQL query to meet the following requirements:
– Retrieve a column for the year followed by a column for each month from January through December.
– Include the total sales amount for each month.
– Aggregate columns by year, month, and then amount.
Construct the query using the following guidelines:
– Use the MONTH keyword as the interval when using the DATANAME function.
– Do not modify the provided IN clause.
– Do not surround object names with square brackets.
– Do not use implicit joins.
– Do not use the DATEPART function.
Part of the correct Transact-SQL has been provided in the answer area below. Enter the code in the answer area that resolves the problem and meets the stated goals or requirements. You can add code within the code that has been provided as well as below it.
1. SELECT * FROM
2. (SELECT YEAR(SalesData)) AS Year, DATENAME (MONTH, SalesDate) AS Month,
SalesAmount AS Amount
3.
4. ) AS MonthlySalesData
5.
6. FOR Month IN (January, February, March, April, May, June, July, August, September,
October, November, December))
AS MonthNamePivot
A. Pending
Answer: A
QUESTION 77
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 question 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 have a database that includes the tables shown in the exhibit (Click the Exhibit button.)
You need to create a Transact-SQL query that returns the following information:
– the customer number
– the customer contact name
– the date the order was placed, with a name of DateofOrder
– a column named Salesperson, formatted with the employee first name, a space, and the employee last name
– orders for customers where the employee identifier equals 4
The output must be sorted by order date, with the newest orders first.
The solution must return only the most recent order for each customer.
Solution: You run the following Transact-SQL statement:
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
We should use a WHERE clause, not a HAVING clause. The HAVING clause would refer to aggregate data.
QUESTION 78
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.
Multiple processes use the data from a table named Sales and place it in other databases across the organization. Some of the processes are not completely aware of the data types in the Sales table. This leads to data type conversion errors.
You need to implement a method that returns a NULL value id data conversion fails instead of throwing an error.
What should you implement?
A. the COALESCE function
B. a view
C. a table-valued function
D. the TRY_PARSE function
E. a stored procedure
F. the ISNULL function
G. a scalar function
H. the TRY_CONVERT function
Answer: H
Explanation:
TRY_CONVERT returns a value cast to the specified data type if the cast succeeds; otherwise, returns null.
References: https://docs.microsoft.com/en-us/sql/t-sql/functions/try-convert-transact-sql
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