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70-465 Designing Database Solutions for Microsoft SQL Server

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70-465 exam Dumps Source : Designing Database Solutions for Microsoft SQL Server

Test Code : 70-465
Test title : Designing Database Solutions for Microsoft SQL Server
Vendor title : Microsoft
free pdf : 111 real Questions

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Microsoft Designing Database Solutions for

Attunity launches streaming data pipeline options for data lakes and statistics warehouses on Azure | real Questions and Pass4sure dumps

Feb 11, 2019

Attunity, a provider of facts integration and massive information management software solutions, has introduced two new options: Attunity for information Lakes on Microsoft Azure, designed to automate streaming data pipelines, and Attunity Compose for Microsoft Azure SQL facts Warehouse, designed to enable statistics warehouse automation for Azure SQL facts Warehouse.

both offerings utilize change records entrap (CDC) capabilities to bound adjustments successfully and continually from many commercial enterprise databases, mainframes, and purposes akin to SAP, to precipitate up near precise-time analytics, desktop discovering, and AI initiatives. 

in accordance with Attunity, businesses are relocating to cloud information lakes and data warehouses for agility and elasticity but continue to be challenged to successfully create analytics-equipped statistics sets from heterogeneous records sources. Attunity's offering is designed to automate the captious steps in a multi-zone records lake and provide a complete historic records shop from which analytic-certain facts units are derived. 

Attunity helps firms to conquer integration challenges with solutions leveraging efficient information switch and automated generation of information transformations to precipitate up information pipelines—from the era of source gear statistics streams birthright through to the introduction of analytics-in a position facts units. 

in accordance with Attunity, using Apache Spark as a excessive-efficiency engine, Attunity for Azure data Lakes is designed to automate the technology of transformations and analytics-in a position records sets in records lakes running on Azure, enabling statistics engineers can predict to create reusable, automatic data pipelines that streamline the birth of analytics-equipped datasets to conclusion clients.  furthermore, Attunity Compose for records Warehouses enables clients to automate the facts warehouse design, facts loading, transformation, and updates for Azure SQL facts Warehouses, dynamically adjusting information sources and fashions to accommodate changing company necessities. information lake clients can determine managed datasets through a catalog which includes metadata such as data lineage, and the answer's graphical interface and information pipeline management functionality effectively adapts to changes in underlying facts lake expertise and new Microsoft Azure offerings with just a simple drag-and-drop. 

"With this new records pipeline automation providing, they continue to reinforce their providing for Microsoft Azure purchasers and their labor with Microsoft, empowering organisations to comfortably and promptly automate their statistics lakes and statistics warehouses for more timely analytics," stated Itamar Ankorion, CMO at Attunity. "These new solutions will aid their valued clientele to maximise their investment, always reap the merits of getting their records on Azure and allow for true-time analytics the usage of statistics they create attainable in Azure facts Lake Storage, Azure SQL information Warehouse, Azure Cloud SQL Database, Azure event Hubs, and different analytics statistics services running on Azure."

For extra tips, proceed to

Microsoft launches Azure API for FHIR to participate records in cloud | real Questions and Pass4sure dumps

The utility tremendous is continuing its usher for HL7’s quick Healthcare Interoperability elements regular with the unencumber of a brand new device to assist health programs interoperate and participate information in the cloud.

Microsoft’s Azure API for FHIR presents healthcare statistics exchange backed by using a managed Platform-as-a-provider (PaaS) offering and is meant for valued clientele constructing options that combine healthcare statistics from one or more systems of record, in line with the vendor.

“we are extremely joyful to release this,” observed Heather Jordan Cartwright, everyday supervisor of Microsoft Healthcare, who notes that the Azure API is the primary in a sequence of gear that are “mainly designed for the administration, ingestion, and enrichment” of records in aboriginal FHIR materials.

according to Cartwright, the Azure API for FHIR builds on the unencumber in November 2018 of Microsoft Healthcare’s FHIR Server for Azure, an open supply challenge on GitHub that gives back infrastructure for provisioning within the cloud.

additionally See: Microsoft releases FHIR Server for Azure to empower developers

The Azure API is at the minute available in public preview and the industry has more than 25 technology partners in its early entry software to now champion healthcare groups construct FHIR-enabled capabilities.

“any person working with fitness statistics can proceed and entry it and launch to employ it,” comments Cartwright. “It means that you can create and install a FHIR carrier in literally just a few minutes within the cloud atmosphere allowing you to delivery changing data in the aboriginal FHIR format.”

“Our consumers which are the employ of it definitely just pay for the underlying database utilization and statistics switch,” she provides.

Microsoft’s initial release of the Azure API helps FHIR regular for crucible employ (STU) three. however, a future version of the API will usher FHIR unencumber 4, the normative version of the interoperability medium posted through HL7 in January.

“We’re bullish on FHIR,” concludes Cartwright. “In surge to employ the cloud in healthcare, they deserve to fill an open supply ordinary that the entire community can rally round and participate information.”

She contends that leveraging the open source ordinary and the energy of the cloud will assist to result machine getting to know at scale within the healthcare trade by “normalizing the statistics (in FHIR) and getting it birthright into a (average) structure.”

4 techniques for Microsoft SQL database design and optimization | real Questions and Pass4sure dumps

Microsoft SQL database optimization is a constant combat for any venture, and this is whatever that Apriorit tackles frequently as an R&D outsourcing business. The factor is, when setting up an software, in the surge engineers attend to point total their attention in opposition t definitely writing the code, whereas performance takes the back seat. frequently, efficiency complications are brought about via the velocity at which the statistics from the application is acquired. Some problems can creep previous the MVP stage and handiest grew to be discrete when your confess is fully released to the generic public.

this is why it is vital to rate what problems might happen and try to fix them early at the design stage, or at the very least when optimizing the database query.

listed here they are able to gape at concepts for Microsoft SQL server database design and optimization. they are able to determine how to labor with databases so as to net the maximum volume of information for the least amount of time, and notice what issues they can steer lucid of through applying optimization most advantageous practices for SQL server database design. while this text is in response to designing database solutions for Microsoft SQL server, nearly total of thoughts will furthermore be utilized to different relational databases as well, together with customized ones.

Full article: four recommendations for Microsoft SQL database design and optimization

Written by using:Anastasia Shapoval,software Developer at Apriorit

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Designing Database Solutions for Microsoft SQL Server

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SQL Server mistake 18456: A Solution | real questions and Pass4sure dumps


In this article, they will warrant how to fix the SQL Server mistake 18456. They will first report the mistake and then they will expose different ways to resolve this SQL Server mistake using SQL Server commands, backups or external software.

The SQL Server mistake 18456

A typical mistake message when you try to connect is the following:

TITLE: Connect to Server

Cannot connect to SERVERNAME


Login failed for user "username." (Microsoft SQL Server, Error: 18456)

For help, click:

The mistake 18456, is a typical login error. There are multiple reasons you might notice this message. Here, you fill some feasible reasons:

  • The login does not exist or was not typed correctly
  • The user forgot the password or login
  • The password is incorrect
  • The Windows Authentication is not in Mixed mode
  • A malicious hacker reset the password
  • A virus resets total the passwords
  • The database was migrated, but the logins were not migrated
  • The administrator modified the passwords by mistake
  • The logins were damaged or the master database is damaged
  • Solutions

    There are many different types of solutions for these scenarios. Here, they will expose the most celebrated solutions.

    Reset the Password

    If you forget your password, you can inquire of your DBA to reset your account. The easiest route to reset the password is by using SQL Server Management Studio (SSMS). proceed to security and Logins:

    Image title

  • Select the login and you can change the password:Image title

  • If you execute not dote to employ SSMS, you can employ T-SQL to create users and change the password:

  • USE [master] GO ALTER LOGIN [pedro] WITH 'newpassword' GO Change Windows Authentication

    Another typical problem for the mistake is that you are trying to log in with a SQL login, but the SQL login authentication is not enabled. In SQL Server there are two types of authentication:

    Image title

  • Windows Authentication that uses a Windows local or domain account to login. This option is secure and recommended.
  • Mixed mode is the second option that supports Windows and SQL Authentication
  • If you are trying to log in with a SQL login, but the Authentication is set to Windows, you will receive the mistake message.

    You can change the authentication mode using SSMS. birthright click the SQL Server and select properties. In the properties proceed to Security and change the Windows Authentication to SQL Server:

    This option will require to restart the SQL Server Service.

    If you execute not want to employ SSMS, there are other options to change the SQL Server authentication.

    You can employ the registry to modify the authentication mode. employ the regedit to change the registry:

    Image title


    Stellar SQL Database Toolkit

    Another feasible solution is to employ the Stellar SQL Database Toolkit. This software contains 3 components. They will employ the SQL Password Recovery to recoup the password from a specific login. The other tools are used to recoup the database and the backups. They will not cover them in this article.

    Once downloaded, open the software and open the SQL Password Recovery:

    Image title

    Image title

    USE [master] GO select * from sys.sql_logins

    The software will gape at the master database data file (master.mdf) and net the password. As you can see, it is a straightforward process.


    In this article, they erudite the different reasons you might receive the SQL Server mistake 18456. One of the reasons is that the login or the passwords are wrong. Another judgement to receive this mistake is that the SQL Authentication is not enabled. They expose how to resolve this problem and learn how to retrieve the passwords using the Stellar SQL Database Toolkit.

    If you fill questions or suggestions regarding this article, gratify feel free to comment.



    tutorial ,sql server mistake ,database ,ssms ,sql server

    Creating an Azure SQL Database - even 3 of the Stairway to Azure SQL Database | real questions and Pass4sure dumps

    In the previous even they successfully created a logical SQL Server. They are now ready to create an Azure SQL database. A key determination will be what sort of pricing model you will follow. Whether it will be a DTU or vCore model. The DTU model offers a pre-configured and pre-defined amount of compute resource whereas vCore is total about independent scalability, they will gape into this with more detail later on.

    Creating an Azure SQL Database

    We will start by opening your Azure portal at

  • Navigate to SQL databases located within the main resources menu bar.
  • Here you will be presented with the main SQL databases blade. You will net to notice total the databases you fill currently deployed and you will furthermore fill the capacity to add another database.

    Let's start the process by clicking Add at the top of the blade.

    Once you fill clicked Add, you will then requisite to populate the following details:

    Choosing the Options

    Database title – This is title of the new database that will appear for applications. This title must be unique on the logical SQL server machine you created in even 2, which can host both Azure SQL Database databases and SQL Data Warehouse databases. Letters, numbers, hyphens and underscores are allowed.

    Subscription – The subscription that you want to employ for billing when creating the database. For this stairway, that will be the free crucible (I fill multiple subscriptions and you will notice that I am using my Visual Studio Enterprise Subscription). execute not forget when they create the database, it becomes billable.

    Resource Group – You will requisite to situation what resource group you would dote this database to be a Part of. cogitate of it as a container that holds related resources for an Azure solution. I actually fill multiple resource groups for different environments but for this even I will be using the resource group, AKS_Prod, that I created in the previous level. gratify employ the resource group that you created in the previous level.

    Select Source – The options here are whether you would dote to create a blank database, a database from a backup or a sample database. They will be using the AdventureWorksLT sample.

    Server – The logical SQL Server that you would dote to build you databases in. Remember, this will be the server that they created in even 2, called bountysql.

    SQL elastic pool – For this stairway they will not be using elastic pools. Elastic pools are a totally different route to deploy and manage SQL Databases, and it makes sense to employ this when they fill many databases that fill varying and unpredictable usage demands. For further reading gratify notice this link -

    Pricing tier –  Here you will fill the option of sizing a database based on DTU or vCore (see the purchasing models section). For this example, maintain costs low and employ the S0 performance level.

    Collation – For this deployment I leave the default collation as SQL_Latin1_General_CP1_CI_AS. If you want a different default collation, you can character it in this box. A list of collations is in this article:

    For their instance they have:

    Now you can click, Create. Once you click create, deployment will entrap station in the background as indicated by the below screen shot.

    For their example, this will only entrap a couple of minutes. You will be given a successful notification once the deployment successfully completes.

    If you click the refresh button when on the main SQL Database menu, you will notice your newly created database.

    It is as simple as that. They fill created a Standard: S0 Azure SQL database within a specific resource group in West Europe in their bountysql SQL Server. You can now connect to this database with SSMS or the Query Editor in the portal. The username and password will be the ones you used in even 2 when creating the logical server.

    Note: You may requisite to add your current IP to the firewall access list. SSMS will inquire of for this when you attempt to connect.

    Cloud Shell

    Again total this can be simplified by using code. For example, if you wanted to create a S1 even database called Database007 from a sample backup called AdventureWorksLT within their bountysql server you would requisite to execute the following.

    First, click the cloud shell icon from the top menu bar.

    Then enter the following code.

    New-AzureRmSqlDatabase -ResourceGroupName "AKS_PROD" -ServerName "bountysql" -DatabaseName "Database007" -SampleName "AdventureWorksLT" -RequestedServiceObjectiveName "S1"

    Hit enter to flee this code, and you will notice Database007 in your database list. bethink to delete it after this step if you are not going to employ it as you will be billed for this database.

    The Purchasing Models

    An principal topic worthy of a brief section. There are now two purchasing models for Azure SQL database.  For single databases they fill the option of using a DTU based or vCore based model and they are quite different.


    DTU stands for Database Transaction Unit and it represents the relative power assigned to the database. It is a blended measure of CPU, remembrance and read-write rates. This concept might sound outlandish for new users of Azure SQL database and it might actually entrap you some guess labor to find your optimal service tier and performance level.

    There are three service tiers, Basic, benchmark and Premium and as you proceed up a service tier you are increasing the number of DTUs assigned to your database – this is called a performance even as shown below.

    The DTU Chart Note S0 is near the left.

    Where execute they start with the sizing exercise? Well the Basic tier will very likely never enter the production realm because of its 2GB max size limit. Microsoft label the benchmark tier as felicitous for most production workloads and the Premium tier for your most IO intensive workloads, thing along the lines of SSD based capability. So if you know that your IO workloads are intensive the Premium tier might be a better fit.

    Once you fill made a determination with a performance even but you realise that you made a mistake it is very simple to create changes to the rectify one.  When a request to scale up (or down) is made a replica of the original database at the new performance even is created and then connections are switched over to the replica. No data is lost during this process but during the brief minute when the switch over occurs connections to the database are disabled, so some transactions in flight may be rolled back.

    Each service tier differs and offers different capabilities. Study the above service-tier table. If for instance you require a database that has a backup retention of thirty-five days and In-memory OLTP then you will fill no option but to select the Premium tier, then the determination will be what performance level. To notice in more detail, the differences between performance levels and resource limits gratify notice this link:


    vCore based performance levels are very new and not yet rolled out to total Azure regions. With that being said, this option offers a different approach to sizing your database. It is easier to translate an on-premises workload to a vCore based model because the components are what they are used too.

    vCore Options

    There are two tiers you can select from, generic Purpose and industry Critical. The biggest differences between the two tiers is the storage (in terms of character and throughput) and availability features. notice the table below for an contour of the tiers.

    For larger organisations vCore can be an attractive option. This is because of Azure Hybrid capitalize for SQL Server where it enables you to employ your SQL Server Enterprise Edition or benchmark Edition licenses with dynamic Software Assurance to pay a reduced rate on vCore-based databases with savings up to 30 percent.

    This is what the vCore model options gape dote from the Azure portal.

    As you can notice the conception of independent scalability where you fill options to situation how many vCores you want and your max data size. furthermore entrap note of the principal IO differences between industry captious and generic Purpose tiers in terms of throughput and latency.

    Next Steps

    In this even they created a database from a sample backup on their logical SQL Server that they created in even one. They then discussed the two main purchasing models. In the next even they will discuss firewall rules and configure some logins to finally allow us to connect to the database via SSMS (SQL Server Management Studio).


    Microsoft Azure SQL Database nears parity with SQL Server | real questions and Pass4sure dumps

    SEATTLE -- After a two-year progress endeavor to address its technical limitations, Microsoft Azure SQL Database...

    is finally poised to become a more viable alternative to on-premises SQL Server systems for users who want to shift database applications to the cloud.

    Microsoft's R&D labor is culminating in a flurry of new features and product offerings. For example, the vendor on Dec. 1 plans to launch a high-end version of its Azure SQL Database Managed Instance cloud platform for industry applications with heavy-duty I/O requirements. Managed Instance is an implementation of Microsoft Azure SQL Database that's almost functionally equivalent to SQL Server, according to Microsoft, which released a general-purpose version of the service at the start of October.

    At PASS climax 2018, Microsoft furthermore made available a public preview of its Machine Learning Services software running in the core Azure SQL Database platform. That follows preview releases in October of two other new technologies: a Hyperscale service tier that eliminates Azure SQL Database's 4 TB circumscribe on database size, and an Accelerated Database Recovery feature built to precipitate up the process of recovering databases after a system failure.

    Hyperscale supports databases with up to 100 TB of data -- an augment that was welcome tidings to Azure SQL Database user symptom Freeman, a senior database administrator at tax, audit and management consulting services company BDO Global.

    "Right now, we're limited to 4 TB databases, and they just kind of blew the roof off of that," Freeman said at the conference.

    PASS  climax 2018 in Seattle Updates to Azure SQL Database were circumstantial and discussed at PASS climax 2018. Separation policy on Azure databases

    Brussels-based BDO runs hundreds of databases on Microsoft Azure SQL Database, said Freeman, who works at the company's office in Columbus, Ohio. But the IT team had to split up larger databases because of the PaaS technology's previous size restriction, he added. As a result, operational data for individual countries can be spread across as many as seven divide databases, according to Freeman.

    Right now, we're limited to 4 TB databases, and they just kind of blew the roof off of that. symptom Freemansenior DBA, BDO Global

    "Now they can reclaim it total together in one station without having to worry about recovering total of the databases," he said.

    Azure SQL Database furthermore may now be able to wield older applications that BDO runs on Microsoft's SQL Server on Azure Virtual Machines platform because of their size, Freeman said. The latter technology is cloud-based, too, but it's an IaaS offering that requires database administrators (DBAs) to wield configuration, patching and other management tasks that Azure SQL Database automates.

    Until now, DBAs looking to migrate existing applications to the cloud typically had to employ SQL Server on Azure Virtual Machines. Microsoft Azure SQL Database was primarily geared to flee new cloud-native applications due to the database size limitation and its want of champion for some key SQL Server features, such as the SQL Server Agent job scheduler. That dampened its appeal to the installed base.

    "We knew there were some challenges with Azure SQL Database," said Rohan Kumar, corporate vice president of engineering for Azure data services and SQL Server at Microsoft.

    Speaking in the opening keynote session at PASS climax 2018, Kumar added that Azure SQL Database Managed Instance aims to reduce the "friction" on cloud migrations that existing users encountered. SQL Server applications can be moved to a Managed Instance environment without any changes, he said. And the high-end Managed Instance industry captious version will enable users "to flee their most mission-critical SQL Server workloads in Azure," Kumar claimed.

    A familiar feel for SQL Server users

    The Managed Instance technology is soundless a labor in progress, said Denny Cherry, founder and principal consultant at Denny Cherry & Associates Consulting in Oceanside, Calif. But in an interview at the conference, Cherry said he expects user exact for Managed Instance deployments to augment once the industry captious service tier is available.

    "It's kind of the SQL Server you know," said Mike Walsh, president of Straight Path IT Solutions, a SQL Server consulting services company in Milton, N.H.

    The Managed Instance implementation of Microsoft Azure SQL Database can be pricey, Walsh notable during a conference session. On Microsoft's website, he set up a sample configuration with a compute cost of $150,000 per month for the maximum number of 80 vCore logical CPUs. But users can net discounts of up to 55% if they convert an existing SQL Server license to the cloud system, Walsh said.

    Beautycounter, a company that makes skin keeping products and cosmetics for women and families, runs SQL Server on the AWS cloud instead of Azure. In the past, the Amazon Relational Database Service (RDS) for SQL Server offered more functionality and options than Microsoft Azure SQL Database did, said Steve Rezhener, a database engineer at Beautycounter, which is based in Santa Monica, Calif., and formally known as Counter Brands LLC.

    Azure SQL Database Managed Instance doesn't fully change that, Rezhener said in an interview at the conference. "But at least the features are on par with RDS," he added. "It looks dote it's on-premises SQL Server."

    At PASS climax 2018, the annual conference of the Professional Association for SQL Server user group, Microsoft furthermore launched the second release of SQL Server 2019 under its Community Technology Preview program. CTP 2.1 adds the capacity to flee R and Python applications in the tremendous data clusters that SQL Server 2019 supports, plus other new features. Microsoft's goal is to release a preview every month, Kumar said.

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