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Querying Data with Transact-SQL    

    Published:October 18, 2016
    Languages:English
    Audiences:IT professionals
    Technology:SQL Server 2016/2017/2019
    Credit toward certification:MCSA

 learn:


  • Manage data with Transact-SQL 
  • Create Transact-SQL SELECT queries
  • Query multiple tables by using joins
  • Implement functions and aggregate data
  • Modify data
  • Query data with advanced Transact-SQL components 
  • Query data by using subqueries and APPLY
  • Query data by using table expressions
  • Group and pivot data by using queries
  • Query temporal data and non-relational data
  • Program databases by using Transact-SQL 
  • Create database programmability objects by using Transact-SQL
  • Implement error handling and transactions
  • Implement data types and NULLs

Who?

This exam is for SQL Server database administrators, system engineers and developers with two or more years of experience who want to validate their skills and knowledge to write queries.

How?


Passing the MCSA 70-761 exam involves a lot of confidence. Most importantly, you will be able to find advanced 70-761 exam dumps and MCSA study materials that will help you pass any exams.


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Give your full concentration to these 70-761 questions answers 


QUESTION 1

You develop and deploy a project management application. The application uses a Microsoft SQL Server database to
store data. You are developing a software bug tracking add-on for the application. The add-on must meet the following
requirements:
Allow case sensitive searches for product.
Filter search results based on exact text in the description.
Support multibyte Unicode characters.
You run the following Transact-SQL statement:
You need to ensure that users can perform searches of descriptions. Which Transact-SQL statement should you run?

A. B. C. D.

Correct Answer: D

QUESTION 2
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 named DB1 that contains two tables named Sales.Customers and Sales.Orders.
Sales.Customers has a foreign key relationship to a column named CustomerID in Sales.Orders.
You need to recommend a query that returns all the customers. The query must also return the number of orders that
each customer placed in 2016.
Solution: You recommend the following query:
 
Does this meet the goal?
A. Yes
B. No
Correct Answer: B


QUESTION 3
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 database that contains tables named Customer_CRMSystem and Customer_HRSystem. Both tables use
the following structure: 
The tables include the data below: Customer_CRMSystem
Customer_HRSystem
Records that contain null values for CustomerCode can be uniquely identified by CustomerName. You need to display
customers who appear in both tables and have a non-null CustomerCode. Which Transact-SQL statement should you
run?
 
A. B. C. D. E. F. G. H.
Correct Answer: B
INTERSECT returns distinct rows that are output by both the left and right input queries operator. Incorrect Answers:
A: INNER JOIN returns records that have matching values in both tables but it returns duplicate records.
C: LEFT OUTER JOIN returns ALL records from the left table, and the matched records from the right table.
D: EXCEPT returns distinct rows from the left input query that are not output by the right input query.
E, F: UNION and UNION ALL combines the results of two or more queries into a single result set that includes all the
rows that belong to all queries in the union.
G: CROSS JOIN returns all possible combinations of data from both tables.
H: FULL OUTER JOIN returns all records when there is a match in either left or right table
Note: NULL values are treated as distinct values in join operations.
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