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70-761 Querying Data with Transact-SQL

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Test Code : 70-761
Test Name : Querying Data with Transact-SQL
Vendor Name : Microsoft
: 120 Real Questions

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Microsoft Querying Data with Transact-SQL

Querying with Transact-SQL | Real Questions and Pass4sure dumps

Do you have a great Transact-SQL foundation? This specifications-primarily based question language, also known as T-SQL, is used to work with statistics in SQL Server and Azure SQL Database and is a basic skill for aspiring database experts and software builders.

discover T-SQL in a collection of self-paced modules which encompass lectures, demos, hands-on labs, and self-assessments. learn how to use Transact-SQL to retrieve, insert, update, and delete facts in a database. find out about desk expressions, grouping units, error dealing with, and tons extra. Plus, if you are researching for "examination 70-461: Querying Microsoft SQL Server 2012," this course can support you prepare for much of it.

Do you have a pretty good Transact-SQL basis? This requirements-based mostly query language, often known as T-SQL, is used to work with facts in SQL Server and Azure SQL Database and is a primary ability for aspiring database experts and utility developers.

discover T-SQL in a collection of self-paced modules which consist of lectures, demos, hands-on labs, and self-assessments. learn how to use Transact-SQL...

Microsoft SQL Server 2016 Certifications introduced | Real Questions and Pass4sure dumps

hello chums, i'm Kapil Singh Kumawat and i am from Jaipur in Rajasthan, India. I even have been working with SQL Server for the remaining 4 and a half years and am at present working with Cognizant know-how solutions as an SQL Server Developer. I actually have experience in performance tuning, SSIS, statistics migration, database designing and writing queries. My other interests encompass touring, watching football and being attentive to tune.

Microsoft previews browser-based mostly question enhancing tool in Azure SQL | Real Questions and Pass4sure dumps

Microsoft Corp. has made it more straightforward for Azure SQL users to entry and query their databases and records warehouses with the addition of a brand new query Editor device, alongside a number of other cloud updates.

The replace means clients no longer should swap to a brand new device, as query Editor permits them to jot down queries, execute Transact SQL scripts and manipulate query outcomes directly from their browser. “Many general queries can be run during this editor, akin to create new table, display desk information, edit desk information, create a saved technique or drop table,” Ninar Nuemah, Azure SQL software manager at Microsoft, wrote in a blog submit.

The editor additionally allows partial queries and batch queries, while writing scripts is additionally a great deal less demanding due to its syntax highlighting and blunder indicating aspects, Neumah added. query Editor, which has been made accessible as a preview, can also be discovered below each and every database’s or statistics warehouse’s tools menu.

In a 2d replace, Microsoft has added help for UTF-sixteen encoded delimited text files, making it more convenient to load data into Azure SQL records warehouses by way of PolyBase. before this update, clients needed to re-encode data into the UTF-eight format, a drawn out manner that concerned duplicating loads of information.

Microsoft has also made a bunch of new features accessible to its customers in Germany. These consist of vigour BI, Cool Blob Storage and mobile Apps for Azure App provider , and the HDInsight on Linux massive data carrier. at the identical time, Microsoft noted all of these workloads will adhere to the nation’s strict information residency requirements.

Microsoft Azure Germany has additionally won ISO/IEC 27001 and ISO/IEC 27018 certifications, John Bruno Sr., director of Microsoft Azure, observed in a separate blog submit. the first of those, ISO/IEC 27001, refers to an guidance protection standard which governs how sensitive information is secured by means of a chance management procedure that takes into account individuals, tactics and IT techniques.

meanwhile, ISO/IEC 27018 is a code of practice in line with ecu facts insurance policy laws, offering “specific tips to cloud service suppliers acting as processors of personally identifiable tips on assessing dangers and enforcing state-of-the-art controls for protecting PII information,” Bruno talked about.

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Querying Data with Transact-SQL

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Querying with Transact-SQL | real questions and Pass4sure dumps

Do you have a solid Transact-SQL foundation? This standards-based query language, also known as T-SQL, is used to work with data in SQL Server and Azure SQL Database and is a fundamental skill for aspiring database professionals and application developers.

Explore T-SQL in a series of self-paced modules which include lectures, demos, hands-on labs, and self-assessments. Find out how to use Transact-SQL to retrieve, insert, update, and delete data in a database. Learn about table expressions, grouping sets, error handling, and much more. Plus, if you're studying for "Exam 70-461: Querying Microsoft SQL Server 2012," this course can help you prepare for much of it.

Do you have a solid Transact-SQL foundation? This standards-based query language, also known as T-SQL, is used to work with data in SQL Server and Azure SQL Database and is a fundamental skill for aspiring database professionals and application developers.

Explore T-SQL in a series of self-paced modules which include lectures, demos, hands-on labs, and self-assessments. Find out how to use Transact-SQL...

Analyzing Data Storage - Ten SHOWCONTIG Queries | real questions and Pass4sure dumps

DBCC SHOWCONTIG allows you to report on fragmentation information for the data and indexes of a specified table.

If neither an index nor table is specified, DBCC SHOWCONTIG will report on all tables within the database. You can capture this output by adding "WITH TABLERESULTS" to the DBCC SHOWCONTIG call. SHOWCONTIG allows you to grab all sorts of useful information, so that you can report or act upon it with your Transact-SQL code.

In this article, they will be reviewing how you can use Transact-SQL queries to probe your database's potential trouble areas...

Prerequisites: The basics of SHOWCONTIG are not reviewed here, and if you're in need of this background, check out SQL Server Books Online's topic "DBCC SHOWCONTIG".

Query #1List all the tables that don't have clustered indexes (excluding system tables).

Prior to running this first query, they first need to create the #SHOWCONTIG temporary table. This table will be used to hold the results of the DBCC SHOWCONTIG result set.

CREATE TABLE #SHOWCONTIG ( ObjectName CHAR (255), ObjectId INT, IndexName CHAR (255), IndexId INT, Lvl INT, CountPages INT, CountRows INT, MinRecSize INT, MaxRecSize INT, AvgRecSize INT, ForRecCount INT, Extents INT, ExtentSwitches INT, AvgFreeBytes INT, AvgPageDensity INT, ScanDensity DECIMAL, BestCount INT, ActualCount INT, LogicalFrag DECIMAL, ExtentFrag DECIMAL)

Next, populate the #SHOWCONTIG table with all heaps and clustered indexes within the database you wish to analyze. (If you wish to report on all indexes within the database, add the ALL_INDEXES keyword to your DBCC SHOWCONTIG execution).


Now they are ready to list all the tables that don't have clustered indexes (excluding system tables). Within the #ShowContig table, if a specific row has an index name, this means the row is for a clustered index. If the index name is blank, the row represents a heap (no clustered index).

SELECT ObjectName, ObjectID FROM #ShowContig WHERE LEN(IndexName)=0 AND ObjectName NOT LIKE 'dt%' AND ObjectName NOT LIKE 'sys%' ORDER BY ObjectName

For tables that appear in this result set, consider adding a clustered index. Some DBAs argue that it isn't necessary for all tables; however I think that clustered indexes should be added by default - and only removed if you have a very good reason to do so.

Query #2Show the top ten tables with the most data pages (does not include non-clustered index pages).

SELECT TOP 10 ObjectName, IndexName, countpages FROM #ShowContig WHERE ObjectName NOT LIKE 'dt%' AND ObjectName NOT LIKE 'sys%' ORDER BY countpages DESC

This query is mostly for informational purposes. You may be surprised by the results.

Query #3Show the top ten tables with the highest row counts.

SELECT TOP 10 ObjectName, IndexName, CountRows FROM #ShowContig WHERE ObjectName NOT LIKE 'dt%' AND ObjectName NOT LIKE 'sys%' ORDER BY CountRows DESC

Once again, this query is mostly for informational purposes. If the row counts surprise you - investigate.

Query #4List the top ten tables with the largest average record size.

SELECT TOP 10 ObjectName, IndexName, AvgRecSize FROM #ShowContig WHERE ObjectName NOT LIKE 'dt%' AND ObjectName NOT LIKE 'sys%' ORDER BY AvgRecSize DESC

The smaller the average record size, the more rows you can fit on a single page. The more you can fit on a page (assuming a high index fill factor), the fewer pages you have to read in order to fulfill the query requirements. In other words, smaller average record sizes mean less I/O.

If the average is high, see if all the table columns are being used, and that the column data types are appropriate.

Query #5List the top ten tables with the largest record sizes.

SELECT TOP 10 ObjectName, IndexName, MaxRecSize FROM #ShowContig WHERE ObjectName NOT LIKE 'dt%' AND ObjectName NOT LIKE 'sys%' ORDER BY MaxRecSize DESC

Like the average record size, this query can help you determine which tables have at least one large row. Keep in mind that all it takes is ONE large row within a table to get on the top 10 of this list - so consider this in the context of the average row width. If you see tables falling into both lists (average row width and largest record size), see if all the table columns are being used, and that the column data types are appropriate.

Query #6Show the top ten tables with the highest average bytes free per page.

SELECT TOP 10 ObjectName, IndexName, AvgFreeBytes FROM #ShowContig WHERE ObjectName NOT LIKE 'dt%' AND ObjectName NOT LIKE 'sys%' ORDER BY AvgFreeBytes DESC

Generally, the average bytes free value should be low, so investigate high values (for larger tables). "Low" and "high" are relative terms to your database , but be sure to check your index fill-factor. Is your index fill-factor too low? If you're not performing that many insert/update operations, consider increasing the fill-factor and rebuilding your indexes - thus decreasing I/O.

Query #7Show the top ten tables with the LOWEST average page density.

SELECT TOP 10 ObjectName, IndexName, AvgPageDensity FROM #ShowContig WHERE ObjectName NOT LIKE 'dt%' AND ObjectName NOT LIKE 'sys%' ORDER BY AvgPageDensity ASC

Generally, average page density should be high. Investigate low densities (for larger tables) closely. If you determine that fragmentation is an issue, recreating/rebuilding the clustered index will reorganize the data, resulting in full data pages (depending on the index fill-factor). If rebuilding the indexes or using DBCC DBREINDEX is not possible (the index is offline during the drop/re-create cycle ), consider the less effective DBCC INDEXDEFRAG.

Query #8List the top ten tables with the highest amount of logical fragmentation.

SELECT TOP 10 ObjectName, IndexName, logicalfrag FROM #ShowContig WHERE ObjectName NOT LIKE 'dt%' AND ObjectName NOT LIKE 'sys%' ORDER BY logicalfrag DESC

Investigate larger tables that appear on this list. Like the previous query, if you determine that fragmentation is an issue, adjust the fill-factor if necessary, recreate/rebuild the clustered index or execute the less effective DBCC INDEXDEFRAG.

Query #9List the top ten tables with the highest extent fragmentation.

SELECT TOP 10 ObjectName, IndexName, ExtentFrag FROM #ShowContig WHERE ObjectName NOT LIKE 'dt%' AND ObjectName NOT LIKE 'sys%' ORDER BY ExtentFrag DESC

Extent fragmentation should be as low as possible. Investigate larger tables that appear on this list. Like the previous query, if you determine that fragmentation is an issue, recreate/rebuild the clustered index or execute the less effective DBCC INDEXDEFRAG.

Query #10List the top ten tables with the lowest scan density.

SELECT TOP 10 ObjectName, IndexName, ScanDensity FROM #ShowContig WHERE ObjectName NOT LIKE 'dt%' AND ObjectName NOT LIKE 'sys%' ORDER BY ScanDensity ASC

Scan density should be as high as possible. If low, consider recreating/rebuilding the clustered index or executing the less effective DBCC INDEXDEFRAG.


After examining the output from #ShowContig, don't forget to issue a "DROP TABLE #ShowContig" as a final step.


Use these ten queries to get to know your database better. You may be surprised by what you find. For example: gigantic tables that you were not aware of, tables without clustered indexes, tables with wide row lengths, and tables with significant fragmentation.

Run these queries periodically to help manage both the size of your database and the performance of your queries.

SQL Server Reference Guide | real questions and Pass4sure dumps

Before you're able to work with data within a SQL Server database, you need to create the database and data-bearing objects within it. The statements within Transact-SQL (T-SQL) that create objects are grouped into a family called Data Definition Language, or DDL.

DDL is one of three kinds of commands within the Structured Query Language (SQL). The other two are Data Manipulation Language (DML) which queries data and transfers it in and out of the system, and the Data Control Language (DCL) that deals with security of access to the data. In this tutorial I will focus on the Data Definition Language Statements you need to know, and in others I'll follow up with Data Manipulation Language Statements. In the Security section here in the SQL Server Guide on InformIT, I'll cover the DCL statements, although I won't call them out as such. It's actually kind of rare to hear those statements (such as GRANT and DENY) referred to that way.

One final note before I get started — you might also hear "DDL" refer to "Data Description Language," depending on the reference work you review. The term Data Definition Language actually pre-dates the SQL creation, and comes from an older database product called "Codasyl".In most cases, however, the DDL acronym stands for Data Definition Language. This doesn't make any difference to the concepts I cover here, just making sure that you understand all of the acronyms.

There are three major commands I'll focus on in this article:

  • CREATE — Makes a new database or database object
  • ALTER — Changes an existing database or database object
  • DROP — Deletes an existing database or database object
  • Actually, there are other statements for DDL (at least in Transact-SQL, Microsoft's implementation of SQL) that involve things like disabling Triggers and other kinds of actions — and one DDL command really stands out as a bit surprising is the TRUNCATE statement. The TRUNCATE statement removes all data from a table by de-allocating the page-structures where the data lives, so in fact it's a DLL operation. Since it's always used for data, you might think it was DML.

    With that background, there are a few concepts that will help you as you create, alter and delete objects in a database — or even the database itself.

    Who You Are is What You Can Do

    Before you use the DDL statements, it's important to understand that The Data Control Language (DCL) statements directly affect the DDL statements. What that means is that you need specific rights and permissions to issue them.

    Although you might first think that being part of a certain group (called a Role in SQL Server) is what gives you these rights, it's actually the fact that a particular Role has a right granted to it that gives the members of the Role the ability to issue a DDL command.

    You'll find a full list of the DDL commands you can enter in Books Online here:

    Within that list, you can click through to find the particular DDL command you're interested in. Within each command, you'll see a heading called "Permissions," and that's what you need to check for the rights you need to run the command.

    For instance, for the CREATE DATABASE command, you need the CREATE DATABASE, CREATE ANY DATABASE or ALTER ANY DATABASE permission either on your account or on a Role you're a member of. Remember, the combination of all your permissions is what matters — called your "effective" permissions. And also remember that if you are denied a permission that takes precedence over your other rights.

    Also, the permissions are different based on the specific DDL you are running. Having the permission to create a database does not necessarily imply that you can create a table or view.

    First Things First

    Creating an object, altering it or deleting it should be the first part of a "Batch". A Batch in Transact-SQL is simply a set of commands that is kept together.

    You can do that in two ways — the first is to run the commands within a transaction, meaning that the command is run to completion with no other commands included. You can do this from a program, PowerShell or in SQL Server Management Studio (SSMS) by typing the CREATE, ALTER or DROP statements, highlighting them and then pressing the "Execute" icon.

    One of the most common ways of creating a Batch within code is to use the word "GO" to group the order of operations. you should be in the habit of terminating each line of code with a semi-colon, and then add a GO statement at the end of the group of operations you want to keep together, and DDL should be kept at the top of that group.

    Location, Location, Location

    Another VERY important concept within DDL is to ensure you know the context of your connection. What I mean by that is that you need to know who you have logged in as and which database you're in.

    You can find both with this simple script:

    SELECT 'Currently logged in as ' + USER_NAME() + ' on database ' + DB_NAME(); GO

    Here's why this matters. Not only does your account need the proper permissions to create, alter or drop the objects, but when you create an object you become its owner. Of course, you can change that later, but you might not think to do that. The owner of an object can determine the rights for others and so on. Certain tracking and auditing also shows who created, altered or dropped an object, so you need to ensure you are logged in as the account you want to show for that. I've seen even experienced professionals have issues with not thinking this through.

    You also need to check the database you're in. I won't ask you to raise your hand if you have accidentally created a table in the master system database — because I'd have to raise mine as well. In fact, it's a best practice to place a USE databasename statement at the top of any DDL, just in case.

    Implementation and Final Thoughts

    Now you're ready to use the statements. Each has its own syntax, and sometimes learning that syntax can be tricky. In SSMS you can highlight a statement like CREATE DATABASE and then press SHIFT-F1 to jump directly to that syntax in Books Online.

    But there is another method I often use for not only DDL, but for many T-SQL statements. In SSMS, click the "View" menu item, and then "Template Explorer". Now you can explore the various Templates that Microsoft provides to create objects. Double-click one, like the Create Database Template under the Database item, and you're presented with something like this:

    -- ============================================= -- Create database template -- ============================================= USE master GO -- Drop the database if it already exists IF EXISTS ( SELECT name FROM sys.databases WHERE name = N'<Database_Name, sysname, Database_Name>' ) DROP DATABASE <Database_Name, sysname, Database_Name> GO CREATE DATABASE <Database_Name, sysname, Database_Name> GO

    Now you can simply press CTRL-SHIFT-M and SSMS will bring up a panel that lets you fill out the parameters quickly and easily. Of course, you still need to know what these mean, so a review of the specific command link I showed you earlier is always a good plan.

    Almost any CREATE command needs parameters, with the exception of creating a database. With no other parameter than the name, the CREATE DATABASE command  uses the model system database and simply makes a duplicate of it. For instance — I'll use the model database, and put one table in it:

    USE model; GO CREATE TABLE TestTable (c1 int); GO Now I'll create a new database, with no parameters: USE master; GO CREATE DATABASE TestDatabase; GO

    With a simple query, you can see that the table exists in the new, blank database,

    USE TestDatabase; GO SELECT * FROM sys.tables; GO

    The ALTER statement requires that the object already exist. If you try to run it without the object, you'll get an error. The advantage of the ALTER statement is that it leaves the permissions on the object intact. So even if you want to completely change a table, don't just delete and recreate it — use the ALTER statement.

    The DROP statement is the most deadly within SQL. They are often so conditioned to get an "are you sure?" message in almost every operating system that they might expect the system to protect us. But it doesn't — if you have the rights, the system will delete the object immediately and with no questions asked. Some DDL operations (such as the TRUNCATE command) can in fact be wrapped in a Transaction (BEGIN and END) and allow you to roll it back in some cases, but things like DROP DATABASE are immediate and non-refundable. You'll have to restore from backup to get the database back.

    So a great tip is always to test everything you do first on your testing server, which of course you back up first. Which brings up another point — good backups are important always, but when you issue a DDL statement, you should take a backup as quickly as you are able. From that point on, your database is in a different state, so you don't have a current backup, even if you had just taken one prior to the event.

    Finally, whenever you use a DDL statement, ensure that you capture a change script so that you can repeat the action, or roll back the database to another state should you need to recreate it elsewhere.

    With the documentation complete, ensure that the DDL is captured properly in your High Availability and Disaster Recovery planning. I've seen this forgotten many times — a column of data is added to a table, for instance, with no change to the Recovery Point Interval and Recovery Time Interval being tested and changed in the company's Business Continuity Plan. 

    Finally, and for the same reason. ensure that you know the maintenance impact of your DDL change. If you have removed or added a database, make sure your automated maintenance is aware of it.

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