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A00-205 exam Dumps Source : Sas webaf server-side application development

Test Code : A00-205
Test title : Sas webaf server-side application development
Vendor title : SASInstitute
: 55 real Questions

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SASInstitute SASInstitute Sas webaf server-side



Killexams.com A00-205 Dumps and real Questions

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A00-205 exam Dumps Source : Sas webaf server-side application development

Test Code : A00-205
Test title : Sas webaf server-side application development
Vendor title : SASInstitute
: 55 real Questions

Where will I find material for A00-205 exam?
The material was generally organized and efficient. I could without much of a stretch recollect numerous answers and score a 97% marks after a 2-week readiness. Much thanks to you folks for decent arrangement materials and helping me in passing the A00-205 exam. As a working mother, I had constrained time to compose my-self accept ready for the exam A00-205. Thusly, I was searching for some exact materials and the killexams.com dumps aide was the prerogative decision.


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Uploading great Files in Windows Azure Blob Storage | killexams.com real questions and Pass4sure dumps

In my terminal post I talked about Shared Access Signature feature of Windows Azure Storage. You can read that post here: http://gauravmantri.com/2013/02/13/revisiting-windows-azure-shared-access-signature/. In this post we’ll sequel that to some practical employ :) .

One thing I wanted to accomplish recently is the capacity to upload very great files into Windows Azure Blob Storage from a web application. general approach is to read the file through your web application using “File” HTML control and upload that entire file to some server side code which would then upload the file in blob storage. This approach would work best for smaller files but would fail terribly when it comes to moderately to very great files as the file upload control would upload the entire file to the server (for bigger files, this would antecedent timeouts depending on your Internet connection) and then that file resides in the server recollection before any action can be taken on that file (again for bigger files, this would antecedent performance issues assuming you gain thousands of users uploading thousands of great files).

In this blog post, we’ll talk about how they can accomplish that using File API feature in HTML5.

Please be warned that I’m no JavaScript/HTML/CSS expert :) . About 4 – 5 years ago I used to execute a lot of JavaScript development and built some really insane applications using JavaScript (like mail merge kindhearted of features, office automation, indigenous device interfacing everything using JS) but that was then. For terminal 4 – 5 years, I gain been extensively doing desktop application development. So most of the JS code you’ll behold below is copied from various sites and StackOverflow :) .

Objectives

Following were some of the objectives I had in mind:

  • The interface should be web based (possibly simple HTML).
  • I don’t gain to share my storage account credentials with the halt users.
  • If possible, there should not be any server side code (ASP.Net/PHP etc.) i.e. it should be simple HTML and the communication should be between user’s web browser and storage account.
  • If possible, the solution should upload the file in chunks so that bigger files can be uploaded without reading them in completely in a lone go.
  • Now let’s behold how they can meet their objectives.

    Solution

    Here’re some of the things I did to achieve the objectives listed above.

    Chunking File

    The first challenge I ran into is how to upload the file in chunks. everything the examples I saw were uploading an entire file however this is not what I wanted. Finally I ran into this example on HTML5 Rocks where they talked about the File API: http://www.html5rocks.com/en/tutorials/file/dndfiles/. Basically what caught my interest there is the “slicing” feature available in HTML 5’s File interface. In short, what this slice feature does is that it reads a portion of a file asynchronously and returns that data. This is exactly I was looking at. Once I found that, I knew 75% of my work was done! Everything else was a walkover :)

    Securing Storage Account Credentials

    Next thing on my list was securing storage account credentials and this was rather painless as I knew exactly what I had to execute – Shared Access Signature. SAS provided me with a secured URI using which users will be able to upload files in my storage account without me giving them access to storage account credentials. This was covered extensively in my post about the same: Revisiting Windows Azure Shared Access Signature.

    Direct Communication Between Client Application and Windows Azure Storage

    Next thing was to facilitate direct communication between the client application and storage. As they know Windows Azure Storage is built on rest so that means I can simply employ AJAX functionality to communicate with rest API. One distinguished thing to understand is that Windows Azure Storage quiet does not uphold Cross-Origin Resource Sharing (CORS) at the time of writing this blog. What that means is that your web application and blob storage must be in the very domain. The solution to this problem is to host your HTML application in a public blob container in the very storage account where you want your users to upload the files. I’ve been told that CORS uphold is coming soon in Windows Azure Storage and once that happens then you requisite not host this application in that storage account but till then you would requisite to live with this limitation.

    The Code

    Now let’s commemorate at the code.

    HTML Interface

    Since I was trying to hack my artery through the code, I kept the interface rather simple. Here’s how my HTML code looks like:

    <body> <form> <div style="margin-left: 20px;"> <h1>File Uploader</h1> <p> <strong>SAS URI</strong>: <br/> <span class="input-control text"> <input type="text" id="sasUrl" style="width: 50%" value=""/> </span> </p> <p> <strong>File To Upload</strong>: <br/> <span class="input-control text"> <input type="file" id="file" name="file" style="width: 50%"/> </span> </p> <div id="output"> <strong>File Properties:</strong> <br/> <p> Name: <span id="fileName"></span> </p> <p> File Size: <span id="fileSize"></span> bytes. </p> <p> File Type: <span id="fileType"></span> </p> <p> <input type="button" value="Upload File" onclick="uploadFileInBlocks()"/> </p> <p> <strong>Progress</strong>: <span id="fileUploadProgress">0.00 %</span> </p> </div> </div> <div> </div> </form> </body>

    image

    All it has a textbox for a user to enter SAS URI and HTML File control. Once the user selects a file, I pomp the file properties and the “Upload” button to start uploading the file.

    Reading File Properties

    To pomp file properties, I made employ of “onchange” event of File element. The event gave me a list of files. Since I was uploading just one file, I picked up the first file from that list and got its title (blob would gain that name), size (blob’s size and determining chunk size) and type (for setting blob’s content type property).

    //Bind the change event. $("#file").bind('change', handleFileSelect); //Read the file and find out how many blocks they would requisite to split it. duty handleFileSelect(e) { var files = e.target.files; selectedFile = files[0]; $("#fileName").text(selectedFile.name); $("#fileSize").text(selectedFile.size); $("#fileType").text(selectedFile.type); } Chunking

    In my application I made an assumption that I will split the file in chunks of 256 KB size. Once I found the file’s size, I just found out the total number of chunks.

    //Read the file and find out how many blocks they would requisite to split it. function handleFileSelect(e) { maxBlockSize = 256 * 1024; currentFilePointer = 0; totalBytesRemaining = 0; var files = e.target.files; selectedFile = files[0]; $("#output").show(); $("#fileName").text(selectedFile.name); $("#fileSize").text(selectedFile.size); $("#fileType").text(selectedFile.type); var fileSize = selectedFile.size; if (fileSize < maxBlockSize) { maxBlockSize = fileSize; console.log("max bury size = " + maxBlockSize); } totalBytesRemaining = fileSize; if (fileSize % maxBlockSize == 0) { numberOfBlocks = fileSize / maxBlockSize; } else { numberOfBlocks = parseInt(fileSize / maxBlockSize, 10) + 1; } console.log("total blocks = " + numberOfBlocks); } Endpoint for File Uploading

    The SAS URI actually represented a URI for blob container. Since I had to create an endpoint for uploading file, I split the URI (path and query) and appended the file title to the path and then re-appended the query to the end.

    var baseUrl = $("#sasUrl").val(); var indexOfQueryStart = baseUrl.indexOf("?"); submitUri = baseUrl.substring(0, indexOfQueryStart) + '/' + selectedFile.name + baseUrl.substring(indexOfQueryStart); console.log(submitUri); Reading Chunk

    This is where File API’s chunk duty would compass in picture. What happens in the code is that when the user clicks the upload button, I read a chunk of that file asynchronously and accept a byte array. That byte array will be uploaded.

    var reader = modern FileReader(); var fileContent = selectedFile.slice(currentFilePointer, currentFilePointer + maxBlockSize); reader.readAsArrayBuffer(fileContent); Uploading Chunk

    Since I wanted to implement uploading in chunk, as soon as a chunk is read from the file, I create a sequel bury request based on sequel bury rest API specification using jQuery’s AJAX duty and pass that chunk as data. Once this request is successfully completed, I read the next chunk and repeat the process till the time everything chunks are processed.

    reader.onloadend = duty (evt) { if (evt.target.readyState == FileReader.DONE) { // DONE == 2 var uri = submitUri + '&comp=block&blockid=' + blockIds[blockIds.length - 1]; var requestData = modern Uint8Array(evt.target.result); $.ajax({ url: uri, type: "PUT", data: requestData, processData: false, beforeSend: function(xhr) { xhr.setRequestHeader('x-ms-blob-type', 'BlockBlob'); xhr.setRequestHeader('Content-Length', requestData.length); }, success: duty (data, status) { console.log(data); console.log(status); bytesUploaded += requestData.length; var percentComplete = ((parseFloat(bytesUploaded) / parseFloat(selectedFile.size)) * 100).toFixed(2); $("#fileUploadProgress").text(percentComplete + " %"); uploadFileInBlocks(); }, error: function(xhr, desc, err) { console.log(desc); console.log(err); } }); } }; Committing Blob

    Last step in this process is to consign the blob in blob storage. For this I create a sequel bury List request based on sequel bury List rest API specification and process that request again using jQuery’s AJAX duty and pass the bury list as data. This completed the process.

    function commitBlockList() { var uri = submitUri + '&comp=blocklist'; console.log(uri); var requestBody = '<?xml version="1.0" encoding="utf-8"?><BlockList>'; for (var i = 0; i < blockIds.length; i++) { requestBody += '<Latest>' + blockIds[i] + '</Latest>'; } requestBody += '</BlockList>'; console.log(requestBody); $.ajax({ url: uri, type: "PUT", data: requestBody, beforeSend: duty (xhr) { xhr.setRequestHeader('x-ms-blob-content-type', selectedFile.type); xhr.setRequestHeader('Content-Length', requestBody.length); }, success: duty (data, status) { console.log(data); console.log(status); }, error: duty (xhr, desc, err) { console.log(desc); console.log(err); } }); Complete Code

    Here’s the complete code. For CSS, I actually used Metro UI CSS – http://metroui.org.ua/. If you’re planning on structure web applications and want to give them Windows 8 applications style commemorate and feel, execute give it a try. It’s pretty awesome + it’s open source. Really no understanding for you to not give it a try!

    <!DOCTYPE html> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <title>File Uploader</title> <script src="js/jquery-1.7.1.js"></script> <link rel="stylesheet" href="css/modern.css"/> <script> var maxBlockSize = 256 * 1024;//Each file will be split in 256 KB. var numberOfBlocks = 1; var selectedFile = null; var currentFilePointer = 0; var totalBytesRemaining = 0; var blockIds = modern Array(); var blockIdPrefix = "block-"; var submitUri = null; var bytesUploaded = 0; $(document).ready(function () { $("#output").hide(); $("#file").bind('change', handleFileSelect); if (window.File && window.FileReader && window.FileList && window.Blob) { // distinguished success! everything the File APIs are supported. } else { alert('The File APIs are not fully supported in this browser.'); } }); //Read the file and find out how many blocks they would requisite to split it. duty handleFileSelect(e) { maxBlockSize = 256 * 1024; currentFilePointer = 0; totalBytesRemaining = 0; var files = e.target.files; selectedFile = files[0]; $("#output").show(); $("#fileName").text(selectedFile.name); $("#fileSize").text(selectedFile.size); $("#fileType").text(selectedFile.type); var fileSize = selectedFile.size; if (fileSize < maxBlockSize) { maxBlockSize = fileSize; console.log("max bury size = " + maxBlockSize); } totalBytesRemaining = fileSize; if (fileSize % maxBlockSize == 0) { numberOfBlocks = fileSize / maxBlockSize; } else { numberOfBlocks = parseInt(fileSize / maxBlockSize, 10) + 1; } console.log("total blocks = " + numberOfBlocks); var baseUrl = $("#sasUrl").val(); var indexOfQueryStart = baseUrl.indexOf("?"); submitUri = baseUrl.substring(0, indexOfQueryStart) + '/' + selectedFile.name + baseUrl.substring(indexOfQueryStart); console.log(submitUri); } var reader = modern FileReader(); reader.onloadend = duty (evt) { if (evt.target.readyState == FileReader.DONE) { // DONE == 2 var uri = submitUri + '&comp=block&blockid=' + blockIds[blockIds.length - 1]; var requestData = modern Uint8Array(evt.target.result); $.ajax({ url: uri, type: "PUT", data: requestData, processData: false, beforeSend: function(xhr) { xhr.setRequestHeader('x-ms-blob-type', 'BlockBlob'); xhr.setRequestHeader('Content-Length', requestData.length); }, success: duty (data, status) { console.log(data); console.log(status); bytesUploaded += requestData.length; var percentComplete = ((parseFloat(bytesUploaded) / parseFloat(selectedFile.size)) * 100).toFixed(2); $("#fileUploadProgress").text(percentComplete + " %"); uploadFileInBlocks(); }, error: function(xhr, desc, err) { console.log(desc); console.log(err); } }); } }; duty uploadFileInBlocks() { if (totalBytesRemaining > 0) { console.log("current file pointer = " + currentFilePointer + " bytes read = " + maxBlockSize); var fileContent = selectedFile.slice(currentFilePointer, currentFilePointer + maxBlockSize); var blockId = blockIdPrefix + pad(blockIds.length, 6); console.log("block id = " + blockId); blockIds.push(btoa(blockId)); reader.readAsArrayBuffer(fileContent); currentFilePointer += maxBlockSize; totalBytesRemaining -= maxBlockSize; if (totalBytesRemaining < maxBlockSize) { maxBlockSize = totalBytesRemaining; } } else { commitBlockList(); } } duty commitBlockList() { var uri = submitUri + '&comp=blocklist'; console.log(uri); var requestBody = '<?xml version="1.0" encoding="utf-8"?><BlockList>'; for (var i = 0; i < blockIds.length; i++) { requestBody += '<Latest>' + blockIds[i] + '</Latest>'; } requestBody += '</BlockList>'; console.log(requestBody); $.ajax({ url: uri, type: "PUT", data: requestBody, beforeSend: duty (xhr) { xhr.setRequestHeader('x-ms-blob-content-type', selectedFile.type); xhr.setRequestHeader('Content-Length', requestBody.length); }, success: duty (data, status) { console.log(data); console.log(status); }, error: duty (xhr, desc, err) { console.log(desc); console.log(err); } }); } duty pad(number, length) { var str = '' + number; while (str.length < length) { str = '0' + str; } recur str; } </script> </head> <body> <form> <div style="margin-left: 20px;"> <h1>File Uploader</h1> <p> <strong>SAS URI</strong>: <br/> <span class="input-control text"> <input type="text" id="sasUrl" style="width: 50%" value=""/> </span> </p> <p> <strong>File To Upload</strong>: <br/> <span class="input-control text"> <input type="file" id="file" name="file" style="width: 50%"/> </span> </p> <div id="output"> <strong>File Properties:</strong> <br/> <p> Name: <span id="fileName"></span> </p> <p> File Size: <span id="fileSize"></span> bytes. </p> <p> File Type: <span id="fileType"></span> </p> <p> <input type="button" value="Upload File" onclick="uploadFileInBlocks()"/> </p> <p> <strong>Progress</strong>: <span id="fileUploadProgress">0.00 %</span> </p> </div> </div> <div> </div> </form> </body> </html> Some Caveats

    This makes employ of HTML5 File API and while everything modern browsers uphold that, very can’t be said about older browsers. If your users would be accessing an application like this using older browsers, you would requisite to believe about alternative approaches. You could either compose employ of SWF File Uploader or could write an application using Silverlight. Steve Marx wrote a blog post about uploading files using Shared Access Signature and Silverlight which you can read here: http://blog.smarx.com/posts/uploading-windows-azure-blobs-from-silverlight-part-1-shared-access-signatures.

    I found the code working in IE 10, Google Chrome (version 24.0.1312.57 m) on my Windows 8 machine. I got error when I tried to Run the code in FireFox (version 18.0.2) and Safari (version 5.1.7) browsers so obviously one would requisite to withhold the browser incompatibility in mind.

    Enhancements

    I hacked this code in about 4 hours or so and obviously my knowledge is kindhearted of limited when it comes to JavaScript and CSS so a lot can be improved on that front :) . However some other features I could believe of are:

    Generate SAS on demand: You could possibly gain a server side component which would generate SAS URI on require instead of having a user enter that manually.

    Multiple file uploads: This application can certainly be extended to upload multiple files. A user would select multiple files (or may be even a folder) and gain the application upload multiple files.

    Drag/drop support: This application can certainly be extended to uphold drag/drop scenario where users could drag files from their desktop and drop them to upload.

    Do upload in Web Worker: This is another improvement that can be done where uploads are done through web worker capability in HTML5.

    Parallel uploads: Currently the code uploads one chunk at a time. A modification could be to upload multiple chunks simultaneously.

    Transient error handling: Since Windows Azure Storage is a remote shared resource, you may encounter fleeting errors. You could modify the application to handle these fleeting errors. For more details on fleeting errors, tickle behold this blog post of mine: http://gauravmantri.com/2013/01/11/some-best-practices-for-building-windows-azure-cloud-applications/.

    Summary

    So that’s it for this post! As you saw, it is quite facile to implement a very simple HTML/JS based application for getting data into Windows Azure Blob Storage. Obviously there’re some limitations and there’s cross-browser compatibility issues one would requisite to consider but once those are sorted out, it opens up a lot of exciting opportunities. I hope you’ve found this post useful. As always, if you find any issues with the post tickle let me know and I’ll fix it ASAP.

    Happy Coding!


    How to elect the Best glint Array: An SSD Buying lead | killexams.com real questions and Pass4sure dumps

    Download the authoritative guide: Enterprise Data Storage 2018: Optimizing Your Storage Infrastructure

    Here are two key facts to know before buying enterprise glint storage: First, there is a lot of energy around buying more glint for the corporate data center. Second, as of 2018 only 10% of corporate data centers own an all-flash array.

    This matters because it is distinguished not to accept ahead of ourselves in the buying decision. glint in hybrid arrays has a higher install rate, glint is making inroads into the data center, and glint adoption rates are rising. At the very time, this is nowhere near a done deal for all-flash data centers.

    There is a huge installed user base of distinguished traditional fashioned hard drives, and tape for that matter. This is not a simple matter of waiting until the traditional media lifecycles Run out and refreshing with flash. glint development is proceeding very quickly, but for now at least there are cheaper and better media for storing nearline and long-term data. prerogative now, nothing beats cheap high-capacity disk or tape for impertubable storage.

    Although glint may work well for lively archives (truly active, not just title only) its 3 to 5-year durability window does not compose it a trustworthy media for storing long-term data.

    Why Companies Buy Flash

    A key driver of glint investment – and where you will behold development and purchases rising rapidly – is glint for towering production performance. This includes mission-critical transactional databases, analytics and high-performance computing workloads, virtual desktop infrastructure (VDI) and streaming assets for the broadcasting and medical industries

    https://o1.qnsr.com/log/p.gif?;n=203;c=204650394;s=9477;x=7936;f=201801171506010;u=j;z=TIMESTAMP;a=20392931;e=i

    So, when they argue enterprise glint storage they are not talking about the mythical Phoenix of the all-flash data center. They are talking about three things:

    1. All-flash arrays for towering performance data processing on the shared storage side. These arrays tier from highest performance glint to higher capacity SSDs in the very array. Over time IT should tier the data off the AFA to less expensive media. When they were first introduced a few years ago, FA products tended to be retrofitted hybrid arrays or purpose-built models that lacked the develope data intelligence tools of HDD and hybrid arrays. Over the years AFAs gain significantly improved their indigenous data intelligence including compression and D dedupe, indigenous encryption, thin provisioning, and sophisticated management tools.

    2. A subset of AFAs are called glint appliances. They are all-flash storage systems, but unlike mainstream AFAs they gain only basic storage intelligence. For example, most data headquarters AFAs compass with indigenous dedupe, compression, snapshots, replication thin provisioning, and more.   The glint appliance only has basic storage management features in order to consume a minimal amount of processor overhead. They are strictly for boosting performance with towering IOPs, low latency and rapid throughput. This allows data headquarters admins to gain very rapid performance at a lower cost, since the array is engineered for hurry and users execute not pay for sophisticated management on top of rapid flash.

    3. Server-side glint for the highest workable performance and latency requirements. Server-side glint is essentially direct attached storage on steroids. It is not the optimal choice for many types of data, but it is for extremely high-performing applications.

    Server-based PCIe Cards

    Flash Appliances

    All-Flash Arrays

    Accelerates lone application server.

    Example: Oracle Financials database.

    Accelerates multi-host application.

    Example: Docker environment.

    High performance storage array.

    Example: NAND and SATA glint tiers combine performance and capacity.

    Persistent storage or cache for towering performance server application.

    Single-digit TB capacity lower than AFA or glint appliance.

    Data protection requires mirroring datasets, which significantly raises prices.

    Combines rapid performance and towering capacity in the 10s of TBs.

    Simple feature set requires 3rd party functionality for data protection and towering availability features.

    High performance networked storage with knowing data services.

    Efficiently processes mixed workloads.

    Dedupe and compression optimizes capacity.

    Choosing Among Types of Enterprise Flash

    Different Types of Enterprise Flash

    With that in mind, let’s talk about common types of flash, AFAs and server-side flash. We'll moreover commemorate at employ case for each.

    NAND Flash

    NAND is nonvolatile storage that does not require power to retain data. The most widely used type of glint in the world, it is installed in both in consumer devices and enterprise SSDs. NAND comes in many different flavors and development is largely driven by increasing density. lone even cell (SLC) was the start and referred to one bit per cell. Greater density followed with multi-level cell and three-level cell architecture.

    Today, developments embrace 3D perpendicular NAND, or V-NAND glint chips. By stacking cells in perpendicular layers, the NAND increases SSD performance and durability with less energy requirements. NAND is the primary glint type for all-flash arrays, although not the only one. NAND AFA primary usage cases are towering performance storage systems and tiered AFAs that supersede slower flash/HDD hybrids.

    SAS and SATA SSDs

    SAS and SATA are the very connection protocols they everything know and fancy from their HDD days. SATA SSDs are generally slower than SAS SSDs and are used for towering capacity storage systems that requisite a boost in performance over HDD towering capacity systems. glint SATA can be manufactured in a DIMM profile factor and fortunate into moreover into a DDR3 DIMM slot as a server boot device and cache.

    SAS SSDs are considerably more expensive than SATA SSDs but deliver higher performance and more functionality. SAS SSDs employ the SCSI interface and dual port architectures. IT often uses glint SAS to map rapid drives to different controllers for multi-path I/O and controller failover. They moreover gain more indigenous management tools and usually compass with dual ports, which lets IT map each drive to two divorce controllers for the fail-over and multi-path IO that are often required in enterprise storage.

    PCI Express (PCIe)

    PCIe is server-side glint that can act as a towering performance SSD or server cache. When IT connects a high-performance SSD drive to the PCIe interface, data transfer rates can achieve 252Gb/s and IOPs of 1 million-plus.

    PCIe lowers resource overhead and the requirement for HBAs and drive controller components. PCIe is specific to the server (i.e. Direct Attached Storage) so trades off DAS disadvantages for towering performance features. Popular employ cases embrace mission-critical transactional databases.

    Non-Volatile recollection Express (NVMe)

    NVMe is a glint spec that enables SSDs to employ the PCIe bus to ameliorate performance and lower energy usage. The specification operates in between random-access recollection (RAM) and SSDs. The operating system can access it as a storage device, or as recollection if the card resides in recollection slots.

    NVMe drivers combined with the PCIe interface results in very low latency under hefty and mixed read/write workloads. This is an especially helpful architecture for massively scaled databases whose performance improves with server-side flash.

    Flash Purchase decision Points

    The major decision points for glint purchases embrace both technology and traffic features.

    Technology: On the technology side, the foundational glint type will compose a difference. Even market-leader NAND presents choices between SLC, MLC, EMLC, TLC and more. Device interconnects like PCIe, NVMe, SAS glint and SATA glint are moreover distinguished to poise performance, capacity and location in the data path.

    Use Case: Ironically, the terminal concern for some IT buyers should be the first: the employ case. VDIs, enterprise data center, streaming web servers, towering performance monetized archives: they recall different glint decisions.

    Costs and ROI: Costs will moreover influence your choice. glint prices are dropping but HDDs are significantly less expensive. As storage pros know, HDDs are not as rapid as flash, but discharge quite well and, for a lower cost, provide more than adaquate value.

    Warranties and maintenance: It's distinguished to consider your vendors’ warranties and maintenance pricing. glint energy costs are lower than HDDs, which offsets some of glint devices’ higher purchase price. But if your vendor offers a 2-year warranty instead of 5-year or gives you a low introductory maintenance price then jacks it up in years 2-5, you’re looking at an expensive proposition.

    flash buying guide

    Before You Buy, consider These Factors

    No matter what your employ case for flash, there are 9 critical factors to weigh when you are researching your glint purchase: capacity, performance, availability, durability, scalability, support, management, simplicity and connectivity. Not every glint environment will require top features but know what you are buying and what tradeoffs you are willing to make.

    1.  Capacity. Understand raw capacity, usable capacity and unprejudiced data reduction ratios with dedupe and compression. advise the vendor the types of workloads you are likely to employ with flash, since different workloads dedupe with very different ratios.

    2.  Performance. Performance entails three measurement: IOPs, throughput and latency. As with dedupe ratios, your performance numbers will vary across different workloads. IOPs are the number of bury operations per second, latency is how rapid the data transfer begins, and throughput is the measure of how rapid each bury is processed.

    3.  Availability. 99.999% is the most common enterprise measurement. Asked to behold circumstantial tests and background, and how their glint architecture achieves this even of availability.

    4.  Durability. Specifically interrogate what durability features the SSDs compass with. It should certainly arrive with garbage collection, packet striping, wear leveling and error code correction. If it does not, then you probably bought a cheap SSD but will gain to expend more money on third-party products to protect them.

    5.  Scalability. No fewer buying scale up or scale out. With the former, CO far you can scale capacity without hitting performance barriers. If the latter, find out how expensive it is to add SSDs for linear performance and capacity scaling.

    6.  Support. interrogate where the uphold is located, and if engineers can succor or just read from a script. moreover interrogate how much uphold is built into the AFA. interrogate about indigenous monitoring services that forward alerts about performance impacts, failing SSDs and reaching capacity thresholds. moreover trek over maintenance contracts with the proverbial fine-comb. You execute not want to grab onto a lowball price quote for one to two years, only to watch your operational budget double or triple thanks to uphold costs.

    7.  Management. Determine that your AFA comes with indigenous intelligence like replication and snapshots, monitoring and alerts, circumstantial reports, self-healing, application and platform integration, de-dupe and compression and caching and tiering.

    8.  Simplicity. Don’t trade hefty IT overhead for performance gains. Watch for automated management functions including simple firmware upgrades, irritated replacements, policy-based management and linear scalability.

    9.  Connectivity. Connectivity should serve you now and in the future. commemorate for multi-protocol connections and OS support. consider both iSCSI and FC connections. Check that for high-speed network connections.

    For more questions and answers about glint purchases, behold 12 Questions to interrogate All-Flash Vendors.

    Next Steps in the glint Buying Decision

    Will the all-flash data center dream compass true? It depends on how you define the data center. If the headquarters is production data only, then all-flash is unbiased game. If you are retaining backup and archives, then all-flash is a destitute artery to go.

    But you don’t gain to hold out for an all-flash data headquarters to invest in all-flash arrays and server-side flash. like any other IT investment, buy for the usage case. And shop carefully!


    Choose the prerogative type of server-side glint | killexams.com real questions and Pass4sure dumps

    Putting glint into an application server to ameliorate performance is a fairly straightforward decision, but choosing which glint type to deploy can be more involved. There are currently three main profile factors of glint storage devices, each of which has its advantages. In this tip, we'll commemorate at drive form-factor SSDs, PCIe cards, glint that's implemented on the recollection bus, and to which employ cases each is best suited.

    Drive form-factor SSD s

    These SAS and SATA drives were the original glint storage devices, after the USB recollection stick. Sharing the very profile factor, the first implementation of glint was as a replacement to hard drives, both in servers and in storage arrays. Today, they're available in capacities that compass from a few hundred gigabytes to a TB or more, although 800 GB currently seems to be the amount in a high-capacity enterprise SSD.

    SATA SSDs are probably the easiest type of glint to implement, since they simply plug into the existing disk-drive bays. Their other primary edge is their low cost per gigabyte. employ cases embrace boot drives for servers and computers, and an easy-to-implement single-server caching or tiering solution, as long as there are SATA drive slots available in the server.

    PCIe glint cards

    Putting glint chips onto a PCIe card has become a Popular high-performance SSD solution because it leverages the hurry advantages of the PCIe bus over the SAS-SATA interface. Card sizes are both half-length and full-length, with a wide compass of capacities, from a few hundred gigabytes up to several TBs. With this real estate, manufacturers can sequel multiple processors on these cards and actually allow users to subdivide them for multiple workloads or team them for a parallel processing configuration.

    PCIe cards can moreover uphold caching software, as well as more sophisticated glint controllers for improved performance, efficiency and better integration with specific software applications. everything this leads up to an exemplar platform for towering performance or towering capacity.

    On the downside, PCIe glint typically requires a driver because it's not based on standard storage protocols, like SAS and SATA. This makes implementation and drive replacement more complex, compared with SATA drives than can be hot-swapped in many employ cases. They moreover requisite a PCIe slot, something that may not be available in a low-profile server. They are moreover more expensive than SATA SSDs.

    Memory bus flash

    The terminal of the three primary enterprise server-side solid-state storage types is a glint card that plugs into Dual Inline recollection Module (DIMM) slots. The first product, introduced by Viking Technologies several years ago, uses the DDR3 slot for power but doesn't connect via the recollection bus. Instead, it uses a cable to connect to an available SATA header on the motherboard. The most common employ case for this product is as a boot drive, but it's moreover being used in applications where more glint capacity is needed but PCIe or SATA drive slots are unavailable.

    The newest DIMM-based glint technology does employ the recollection bus, offering the lowest-possible latency of everything glint types. A host-level driver and an on-board ASIC enable the CPU to trek data to and from the recollection space and manage flash-specific tasks, such as garbage collection, write coalescing, etc.

    The technology is referred to as recollection Channel Storage by its manufacturer SanDisk, which partnered with Diablo Technologies on its development. recollection channel storage allows glint to be used as system memory. Since glint is much less expensive than dynamic RAM (DRAM) and many servers gain multiple void DDR3 recollection slots, this technology has the potential to expand server recollection into the TBs, enabling much larger in-memory database applications.

    A different driver is moreover available to compose recollection channel glint commemorate like another storage area for employ by caching or tiering software. This is the very employ case as the SATA-connected glint DIMM mentioned above and the artery PCIe or SAS and SATA SSDs are used as well. A grandiose benefit of using DDR3 slots is to enable glint expansion in servers that gain no additional SATA or PCIe slots available or to provide a boot drive that doesn't consume a drive slot. Capacities for currently available DIMM-based glint products trek as towering as 480 GB per module.

    Server-side glint products are now being used in a wide compass of applications, from boot drives to system recollection expansion. With three profile factors and three connection types, users gain multiple ways to compose glint fortunate their individual system constraints and application demands. Whether they requisite low latency; low cost; simple implementation; or advanced functions like on-board caching, tiering and application awareness, there are glint products available to meet most performance requirements. To summarize, the following is a list of the advantages of each of the primary types of server-side flash:

  • SAS and SATA drive form-factor SSDs. Simplest to implement, lowest cost per gigabyte
  • PCIe glint cards. Higher-performing than SAS and SATA SSDs, highest potential glint capacity, able to uphold on-board CPUs and software for more sophisticated employ cases
  • Memory bus flash. Highest performing glint type, has potential to augment server memory
  • SATA DIMM flash. Performance similar to that of  SATA SSDs, but provides glint capacity or boot drive when no drive slots are available


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    References :


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    publitas.com : https://view.publitas.com/trutrainers-inc/people-used-these-sasinstitute-dumps-to-get-100-marks
    Box.net : https://app.box.com/s/bdrb9weinxhqwyicd75z3xbtq2duesiz
    zoho.com : https://docs.zoho.com/file/5psibfd41c804dc7b429780b825bcf1d617ac











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