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9A0-279 Adobe SiteCatalyst Processing Rules Test

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9A0-279 exam Dumps Source : Adobe SiteCatalyst Processing Rules Test

Test Code : 9A0-279
Test Name : Adobe SiteCatalyst Processing Rules Test
Vendor Name : ADOBE
Q&A : 30 Real Questions

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ADOBE Adobe SiteCatalyst Processing Rules

New Adobe Search&Promote, Powered by means of Omniture, Designed to boost tourist Engagement and Conversion through more desirable site Search Experiences | killexams.com Real Questions and Pass4sure dumps

SAN JOSE, Calif.--(business WIRE)--Adobe techniques incorporated (Nasdaq:ADBE) today introduced Adobe® Search&Promote, powered by way of Omniture®, a brand new site search and merchandising software that helps entrepreneurs assume tourist search intent and promote the most principal items and content across computing device and cellular web site searches.

on-line entrepreneurs face a common, business-broad problem – web page abandonment. on account that search is the primary variety of navigation on many web sites, it's commonly the first step a possible consumer takes towards assembly his or her on-line goals – in particular on cellular-optimized web sites. When company can not easily locate what they are searching for early into their web page seek advice from, they can also depart to search in different places for what they want. because of this, key metrics equivalent to online engagement, conversion, standard order value (AOV) and vacationer retention may also be negatively impacted.

“each onsite search query is a chance. each search is a client telling you what they want, what they have an interest in, or what they wish to buy or down load,” talked about Brad Rencher, vice president and standard manager, Omniture company Unit, Adobe. “With Adobe Search&Promote, our valued clientele can use search and navigation as a means to dynamically bring the correct content, items and offers to the appropriate visitors. every search turns into an opportunity to optimize how company browse, find, evaluate and select relevant products and content throughout displays and devices – driving company to transform at a much better price and leave a good deal more satisfied.”

Adobe Search&Promote is a totally scalable web site search and merchandising application for businesses that require a excessive degree of marketer manage, metrics-based mostly relevance and personalization. it's finest for media and leisure, retail, shuttle and hospitality and economic features web sites that offer a huge quantity of content material and items online. The answer can deal with thousands and thousands of pages, products and excessive search site visitors extent, doing away with concerns of hardware procurement and provisioning, and offers true-time indexing to make sure guests have entry to the most up-to-date content material. constructed-in analytics offered by Adobe SiteCatalyst®, powered by Omniture, allows entrepreneurs to automate and exceptional-tune search and rating outcomes in response to key metrics equivalent to conversion cost, web page views and customer ratings. This additionally makes it possible for agencies to computer screen conversion charges from search terms and the paths visitors take to bear in mind what company are finding and not discovering to be able to enhance their website journey.

“The next-technology of web page search expertise will should step into the function of helping organizations redefine what the journey of relevance is for their company,” said Hadley Reynolds, director, Search and Digital industry applied sciences, IDC. “Managers measure the fitness of their online businesses through certain KPIs. They want the rising capabilities of facts-driven search to refine and automate clients' search consequences and current content material and suggestions that meet visitors’ calls for and may procedure at scale the expanding volumes of website site visitors. riding advanced relevance through a mix of analytics, merchandising guidelines and traveler intent will differentiate a enterprise' net presence from the competitors and result in greater consequences. The savviest entrepreneurs are relocating quickly to seize this competencies.”

Adobe Search&Promote also integrates with other functions within the Adobe® affiliate marketing online Suite, powered through Omniture:

  • Adobe® test&goal™, powered by Omniture, enables Search&Promote clients to look at various quite a lot of search experiences or marketing or results pages towards one an additional to determine the highest performers. The utility additionally allows the focused on of search outcomes or pages to company based on previous buy facts or prior category affinity
  • Adobe® strategies, powered by using Omniture, can be conveniently incorporated into search results to provide product or content techniques related to guests’ searches in accordance with a “americans who searched for this, bought that” algorithm
  • The Adobe® Scene7® move media platform automates the delivery of richer product search results, offering consumers the capacity to carefully check items in more aspect via interactive zoom, 360-diploma spin, choice picture sizes from thumbnail to full-display and varied views. bettering visible search offers consumers with greater specified product photos and the self assurance to help make buy selections sooner
  • helping rates

    Eric Myers, director, interactive media & marketing, Highlights for infants

  • “We should be capable of respond to changing traveler interests, endeavor and seasonal buying patterns on a whim. Search&Promote gives our crew with an intuitive web-based mostly marketing console that offers various levers for us to simply merchandise and refine our top content, promotions and items.”
  • Michael McCamish, director of websites, Gaylord inns

  • “we're all the time measuring everything that occurs on our web site so as to consistently make it as vital as possible for our company. Search&Promote will supply us handy entry to our SiteCatalyst metrics. it's crucial for us to bear in mind KPIs such as conversion and make use of the quest utility’s visible relevance tuner to affect search consequences in keeping with an ideal combination of KPIs and herbal relevance. this will sooner or later aid us carry a more robust person adventure via enabling our company to locate what they are searching for, a good deal faster.”
  • useful links

    Search&Promote New free up Highlights Video

    Adobe weblog

    Omniture know-how fb page

    Pricing and Availability

    Adobe Search&Promote is often obtainable. For greater assistance, please visit www.omniture.com or call 877-722-7088.

    About Adobe programs incorporated

    Adobe is altering the realm via digital experiences. For more tips, seek advice from www.adobe.com.

    © 2010 Adobe techniques included. All rights reserved. Adobe, the Adobe emblem, Omniture, Search&Promote, SiteCatalyst, check&goal and Scene7 are either registered emblems or trademarks of Adobe systems incorporated within the u.s. and/or different international locations. All other trademarks are the property of their respective owners.

    photographs/Multimedia Gallery available: http://www.businesswire.com/cgi-bin/mmg.cgi?eid=6544337&lang=en


    growing the Adobe event Platform Pipeline with Kafka | killexams.com Real Questions and Pass4sure dumps

    Authors: Anand Phatak, Nipun Nair, Anshuman Nangia, and Dave Weinstein

    A summary of how we deployed a single commercial enterprise-stage message bus (“Pipeline”) the use of Kafka for Adobe experience Platform, from our presentation at Kafka Summit 2018 in San Francisco.

    Over the remaining decade, the expectations for data processing at scale have modified dramatically. facts collection and processing have moved from being a generally batch-oriented affair to requiring totally streaming methodologies. This exchange has been pushed by means of the wants of groups to work on high-speed information and respond to adjustments in consumer habits and demand in seconds, now not days and hours.

    The aggregation, enrichment, and near-precise-time analysis of high-frequency facts present a whole new set of challenges. specially when the goal is to take facts accumulated at any journey point, derive insights, after which carry the subsequent most efficient event on the velocity purchasers demand, tying dissimilar messaging techniques together is a non-starter. To power the Adobe event Platform we now have created a single statistics processing Pipeline that allows our internal carrier builders to instantly and simply ship facts from any writer in any statistics middle to any client in any statistics center all over. On suitable of that, we provide capabilities for builders to with ease do streaming computation to analyze, be a part of, transform, and enrich those information sets while they are in movement.

    what's Adobe event Platform Pipeline?

    in accordance with Apache Kafka, Adobe’s event Cloud Pipeline is a globally disbursed, mission-important messaging bus for asynchronous communique throughout Adobe solutions. Pipeline procedures tens of billions of messages everyday and replicates them across 13 different records facilities in AWS, Azure, and Adobe-owned information facilities. in terms of volume and throughput, it is the biggest deployment of Kafka at Adobe nowadays.

    As such, it encompasses:

  • a standard, tremendously scalable, low-latency messaging device built on Apache Kafka
  • Routing capabilities so that provider A can ship messages to provider B without having to know what facts middle(s) B resides in
  • exterior-dealing with HTTPS endpoints for publishing messages to Pipeline from side data centers
  • Filtering messages on server aspect so consumers study best what they are interested in
  • Our challenge

    Adobe adventure Platform handles petabytes of routine per month. The constituent services function throughout 17 diverse information centers all over the world. subsequently, Pipeline is used to shuffle a big number of these movements throughout a variety of features. These routine include site and mobile beacons, push notifications, crusade lifecycle events, Adobe inventive Cloud storage quota updates — vital facts that continues our business and our shoppers’ groups running easily. to place things in context, on a superb day Pipeline handles any place between 10-15 billion events, and we’re gearing as much as support well over a hundred billion day by day by the conclusion of 2019.

    So, at a high stage, we necessary a know-how that tests here containers:

  • tremendous effortless to scale linearly
  • enormously essential, asynchronous pub-sub semantics
  • Fault-tolerance below excessive pressure
  • assist for processing of movements as they’re viewed (close real-time)
  • assured at-least-as soon as processing of movements
  • Given these necessities, Apache Kafka become the obvious choice of our messaging substrate considering the fact that it healthy more than 80% of the use instances that we needed to aid at scale. (For the the rest, we selected between RabbitMQ or ZeroMQ for our excessive-quantity messaging wants that didn't need to guarantee the sturdiness of messaging.) We selected Kafka since it is strong, fault-tolerant, and closely supported in the open supply neighborhood, with a vivid ecosystem of applications and frameworks to aid our evolving needs.

    additionally, we developed two accessories to meet our particular business needs: wise edge service and Pipeline Console.

    wise area carrier

    Adhering to Adobe experience Platform’s open and extensible structure, we obligatory Pipeline services uncovered as rest endpoints. There turned into an additional motivator that the Pipeline provider is attainable in a subset of statistics facilities Adobe operates in. once we started constructing Pipeline back in 2014, there were no relaxation proxy features obtainable in the group that fit our requirements so we built a custom provider to:

  • Expose Produce and devour APIs as leisure endpoints
  • Route the message any place in our global infrastructure in response to rules distinctive in the message or within the topic metadata
  • Filter messages on the server facet in order that most effective relevant messages reach the buyers
  • deliver licensed entry the capabilities to supply and eat messages
  • permit ACLs on the topic to prevent produce and devour access to whitelisted capabilities
  • give a registry of a standardized schema that defines a typical language of message alternate
  • as it seems, meeting these requirements for billions of messages a day in a misguided ambiance is a fancy problem. You must suppose about different types of screw ups, buffering semantics, retry conduct. consequently, we spend lots of time optimizing this deposit.

    Adobe journey Platform information connectivity architecture

    We’ve lately started extending our wise edge capabilities to aid precise-time flow processing for quick beginning of moves. again, building on the Kafka ecosystem, we chose to go with Kafka Streams as the underlying technology.

    probably the most biggest facets of the wise facet service is its potential to route messages across facts facilities globally. Routing may be described as supplying a message to one or extra destination clusters, with out the producer or the buyer realizing where to ship the message or where it came from. wise edge allows specifying routing guidelines at subject matter stage, or routing may also be inferred from the metadata embedded in the message header.

    We obtain routing by producing messages to applicable issues which are mirrored throughout data centers. We use MirrorMaker to obtain this. As we add greater facts facilities, the variety of MirrorMaker clusters required for comprehensive graph connectivity (in other phrases, each data center connecting without delay with every different data core) grows exponentially. This, while neat, is not a scalable answer. Many organizations that function Kafka clusters at a big scale face this challenge. a method of fixing the difficulty is to introduce a “hop cluster” to route messages and in the reduction of the number of directly connected facts center nodes. other alternate options are the use of a unique mirroring solution than MirrorMaker, equivalent to Confluent Replicator.

    Adobe journey Platform Pipeline intelligent routing Pipeline Console

    With more than 100 teams at Adobe depending on Pipeline for his or her everyday enterprise, we very right now hit a wall in terms of human scalability. For a service like Pipeline, reducing technical debt is just as vital as innovation. So, to support the crew get cycles back we determined to construct out a console that makes it possible for our shoppers to focus on the basic protection of their subject matters, monitoring, and easy prognosis themselves. moreover, it gives a floor area for our customers to configure custom routing rules, managing access control at a granular level.

    Pipeline Console gives a view to control no longer simply Kafka-connected houses, however also Adobe-specific intelligence we’ve baked into Pipeline:

  • distinct consumer roles for federated administration and CRUD on subject matters
  • subject matter search and discovery via meta-statistics
  • In-context monitoring of subject and writer/buyer health
  • Granular entry handle on the HTTP layer for who can examine or write to a given subject
  • Routing topology administration (native to routed or broadcast, add flexible router, and so forth)
  • subject tailing for seeing the remaining message or subsequent (n) messages
  • there is a facet of Console that overlaps with capabilities provided by means of Confluent in the course of the handle middle, and we intend to use each for distinct functions.

    in case you want to are trying access and check out out the APIs which are the use of journey Platform Pipeline, here is our API documentation.

    What we realized at Kafka Summit

    Mirroring information to statistics centers globally the use of MirrorMaker remains a problem. there are lots of efforts in the trade working on fixing the issues. we are excited to look those trends. another principal push is to run Kafka on Kubernetes to accommodate elastic use circumstances in flow computing. Our goal is to be in a position to spin up on-demand Kafka clusters to cater to growing wants. Being able to run Kafka on Kubernetes will speed up us toward that intention.

    There changed into loads of focus on real-time circulate processing know-how, which turned into very valuable because it aligns neatly with our initiatives.

    If what we are sharing is pleasing to you, be part of us! Adobe has senior developer and facts scientist alternatives open.

    References

    [1] Pipeline (Streaming) API Documentation: https://www.adobe.io/apis/cloudplatform/dataservices/statistics-ingestion/information-ingestion-features.html#!api-specification/markdown/narrative/technical_overview/streaming_ingest/getting_started_with_platform_streaming_ingestion.md


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    Adobe SiteCatalyst Processing Rules Test

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    LG Gram 17 review | killexams.com real questions and Pass4sure dumps

    Outside of gaming, 17-inch laptops have become a rarity. We want our laptops to be sleek and portable, which quickly rules out most 17-inchers.

    The LG Gram 17, though, isn’t like most laptops of this size. It’s thin, sleek, and shockingly light. Our $1,700 review unit came with a quad-core processor, 16GB of RAM, and a spacious 17-inch 2,560 x 1,600 resolution display.

    Does that make the LG Gram 17 worth it? Or should you just take that money and go for a smaller 15-inch laptop instead? Let’s find out.

    Light, but with a flex

    As the name of the laptop and the branding on its dark silver colored lid suggests, the LG Gram 17 is extremely light. Coming in at 2.95 pounds, it beats out some of the most popular 15-inch laptops, including the Dell XPS 15 (4.2 pounds) and the MacBook Pro (4 pounds). Compared to 17-inch laptops from HP which come in at 5.4 pounds, it is almost feather light.

    That’s all thanks to a metal alloy design, which is a mix of nanocarbon and magnesium. It is important because it gives the Gram 17 a look and feel of metal, but the portability of plastic. In fact, the Gram 17 is so light so that we were able to throw it in a backpack and commute without even feeling a heavy burden on our back. Go ahead, try doing that with a traditional 17-inch laptop.

    lg gram 17 review 7Dan Baker/Digital Trends

    Unfortunately, the design material does come with some flaws. Though LG says its Gram 17 is tested against MIL-STD-810g military standards to ensure maximum durability, we felt some flex in its chassis when pressing too hard on the function keys above the keyboard. That also carried over to the display lid, which bends to the left and right when put under pressure.

    The other areas of the LG Gram 17 are sturdy. The hinge easily supports its massive 17-inch screen with minimum wobble between movements and the lid pulls open with just one hand. LG even manages to reduce the overall footprint of the laptop by slimming the side bezels and packing in the display in just a 15-inch frame.

    The Gram 17 is so light we were able to throw it in a backpack and commute without feeling a burden back.

    That’s something that you can’t quite find with other large-screen 17-inch Windows devices. It makes the Gram 17 easy to carry and use when out and about, not having to worry about it taking up too much space in your lap. If you’re a New Yorker, that means the massive screen won’t be jamming up against the person next to you on the train.

    But all that lightness doesn’t suggest LG had to give up on ports. The Gram 17 is sporting a healthy collection of modern and classic connectivity. On the left side that includes USB A, HDMI and a Thunderbolt 3 USB-C port. On the right, that adds up to a microSD card slot for more expansion and two USB-A ports. Wi-Fi is backed by 802.11 A/C (2X2), and there is also Bluetooth 5.

    All this means you can kiss the dongles goodbye. Thunderbolt 3 is also a plus, as it was missing on last year’s LG Gram 15 models and the LG Gram 14 2-in-1. You can now plug in an external GPU for gaming and power up to two external displays for the extra oomph.

    Keyboard that takes getting used to

    Laptops like the XPS 15 or the HP Envy 17 feature spacious keyboards, but the LG Gram 17 presents a bit of trouble. In a weird design choice, LG opts to keep the touchpad smack in the middle of the chassis, and not slightly off to the left side like most laptops with number pads. That means that both the G and H keys are slightly off center with the touchpad.

    lg gram 17 review xxlDan Baker/Digital Trends

    When typing, we needed to move our hands away from the touchpad to ensure that the mouse wouldn’t be dragged with one hand. The keycaps also feel a little soft and shallow for our fingers but produce a satisfying click feedback when typing. Key travel is rated at 1.2mm and our usual typing tests didn’t cause us to see any pains of bottoming out when speeding through writing articles in WordPress. We got to 69 WPM in Bing’s built-in typing test without breaking a sweat.

    In a nod to Apple, the Gram 17’s black on silver look resembles the MacBook keyboard. Two levels of backlighting get the job done when typing in the dark. We also didn’t notice any light bleeding, but it would have been nice of LG added the one more extra level of brightness for more comfort.

    In a nod to Apple, the Gram 17’s black on silver look resembles the MacBook keyboard.

    The touchpad is about the same size as what is in most 15-inch laptops and comes with support for Microsoft’s Precision drivers. It’s plenty clicky and retracts very deep into the chassis of the laptop. Dragging is also a breeze, as its slick surface allows for easy navigation across Windows 10. We did wish it was bigger to take more advantage of the available 17-inch space, but that might have placed it too close to the notches for the laptop lid.

    Also of note is the integrated Windows Hello fingerprint reader in the keyboard. It’s right above the number pad and doubles in with the power button. That allows for quick and easy logins, without having to worry about passwords. It worked precisely 99 percent of the time. Unfortunately, with all the slim bezels, there’s no Windows Hello IR camera onboard the LG Gram 17. Instead you’ll find a standard HD webcam.

    A spacious, but super glossy display

    LG’s Gram 17 packs a pixel-punching 17-inch IPS display at a resolution of 2,560 x 1,600. That might not be as sharp as the 4K panel found on board configurations of the XPS 15, but it still is vibrant, sharp, and sporting a spectrum of colors.

    In our testing, the Gram 17 picks up 70 percent of the Adobe RGB gamut with an average contrast of 930. Color accuracy is also excellent, rated at 1.81, and the brightness gets up an eye-popping 395 nits. Lower is better, so that puts it ahead of the Dell XPS 15’s 3.32 average color error. It still falls short of the MacBook Pro 15’s excellent 0.61 average color error.

    Putting those numbers into the real world, the 17-inch display is great option for productivity and content creation. Not only is it plenty spacious for opening multiple windows side by side, but images and text in webpages are sharp. That’s due to its glossy finish, which gets plenty bright but also stays very reflective.

    Best example? When web browsing in a brightly lit office, we needed to turn up the brightness past 50 percent on the Gram 17 just to avoid seeing our reflection in the screen. Still, that doesn’t mean you should give up on it. When watching episodes of South Park, colors were vibrant and crisp, making this excellent multimedia machine.

    Audio is provided by DTS Headphone: X processing, with two speakers on the undersides of the LG Gram 17. It features 11.1 channels of audio, and when listening to Coldplay’s Paradise the beats were especially rocking. We didn’t notice any loss in the bass or muffled sounds.

    Web browsing workhorse

    Most laptops featuring Intel’s latest Whiskey Lake processors have put up good performance and efficiency, and the Core i7-8565U on board the LG Gram 17 Is no different. The quad-core processor and 16GB of RAM pack plenty of power, and the LG Gram 17 passes most of our general testing with flying colors.

    Single-core Geekbench 4 scoring came in at 5,026 and the multi-core score at 13,952. This makes it faster than the Core i7-6820 15-inch MacBook Pro with a Touch Bar, as well as the Core i7-8750H XPS 15. Running on the same chipset, it falls a bit short of the Asus ZenBook 15 but tops it with multi-core scoring. The higher multi-core scores mean for slightly more efficiency when powering through intensive tasks or workflows.

    In more demanding tasks, the LG Gram 17 does struggle a bit. It sports a slower 512GB SATA SSD, so it lagged slightly behind both the Asus ZenBook 15 and the XPS 15 in Handbrake encoding tests. Those systems sport faster PCIe NVMe SSDs. The read and write speeds in our Crystal Disk Mark tests are also slightly disappointing and the Gram 17 barely manages to top out the speeds in 15-inch systems we have reviewed. Priced at $1,700, it’s really a shame to see LG cheap out and not go for a PCIe drive. In 2019, no high-end laptops should really use a SATA drive rather than PCIe.

    At the end of the day, the LG Gram 17 is still good enough for most people. We never experienced any slowdowns when browsing in Google Chrome with 18+ tabs open, even when hooked up a 4K monitor. Yes, the storage might be slow, but the processing power is there for web browsing, multimedia and general office work.

    But, where’s the dedicated GPU?

    Most of the 15-inch laptops we’ve compared the Gram 17 with so far come with options for discrete graphics, but there’s none on board this lightweight machine. Instead, you’re stuck with Intel’s integrated UHD 620 graphics, so you’re definitely not going to play Fortnite. You will be limited to Microsoft Store games and lighter indie games.

    As the 3DMark score shows, the Gram 17 doesn’t come close to 15-inch laptops with dedicated entry-level GPUs. We verified this with Rocket League. When we played the title on 1080p High Quality settings we got to 29 frames per second. It wasn’t an enjoyable experience. 1080p Performance upped the frames a bit and smoothed out the overall experience, but it still doesn’t top out what you can get with a laptop with a GTX 1060 graphics card at under or the same $1,700 price.

    Ditch the charger, the battery just won’t die

    The battery on a typical laptop can last you about nine or ten hours when browsing through the internet, but not the LG Gram 17. Its four-cell 4 cell 72-watt-hours lithium ion battery comes with a powerful punch, lasting longer than most 15-inch laptops we have tested.

    LG claims that the Gram 17 can get up to 19.5 hours of battery life. When we lopped a 1080p trailer it ran for about 15 and a half hours before a shutdown. That’s a bit far off from LG’s claim, but it’s still really impressive. That’s less demanding than our most intensive Basemark testing, which lasted for roughly 5 hours. Finally, in our iMacro testing, the Gram 17 also pulls in front, lasting for roughly 12 hours.

    We’ve longed praised Dell XPS 15 for its all-day and 10 hour battery life, but the Gram 17 breaks that record. Lasting for 15 hours in our least demanding tests, the battery on board holds on for as long as its smaller siblings, both the Gram 14 2-in-1, and the Gram 15. It even easily beats out the Asus ZenBook 15’s typical 9 hour battery life. Nothing can’t beat the 15 hour record set by the Microsoft Surface Book 2, but it comes close. LG clearly knows how to pack plenty of juice into its laptops, and we hope others laptop makers can follow suit.

    Our Take

    The LG Gram 17 is the lightest 17-inch laptop we’ve ever seen, which is quite the accomplishment. Combined with long battery life, it is a great laptop for the traveling business person or someone who doesn’t always have access to a secondary monitor for multi-tasking. But its flexible panel, lack of a dedicated GPU, and slower SATA SSD are deal breakers for the $1,700 price.

    Is there a better alternative?

    Though most modern 17-inch productivity laptops can match the specs of the LG Gram 17, a better alternative would be a 15-inch laptop like the Dell XPS 15. It sports dedicated graphics, an option for a 4K panel, and faster storage, making it a better overall value.

    If you must have the 17-inch size, another alternative would be gaming laptops like the Dell Alienware 17 R5, or Dell’s newest Alienware Area 51m. Though these laptops sport more graphical power and faster processing speeds, they still are bulky and a bit flashy. Otherwise, the Gram 17 is your best bet.

    How long will it last?

    The LG Gram 17 is backed by a standard one-year warranty. That includes parts and labor. With an 8th generation Intel Core i7 processor, 16 GB RAM and support for Thunderbolt 3, it will last the test of changing technology. Only the nanocarbon and magnesium material might hold the laptop back as it makes for too much flex in the keyboard deck and display.

    Should you buy it?

    No. If you love the idea of a 17-inch screen, the LG Gram 17 might be a good choice. For most, though, $1,700 is too much to pay for a 17-inch laptop without a dedicated GPU, fast storage, and robust build quality.


    8 Tips for Configuring Adobe Analytics Clickstream Data Feeds | killexams.com real questions and Pass4sure dumps

    If you are interested in cultivating a deeper understand of behaviors, trends, and patterns resident in your web and mobile data, then you want access to the underlying data. If you are an Adobe Analytics customer, access to the underlying data means clickstream data. Assuming that you made the decision and you want to take advantage of clickstream data, there are a few things that will ensure the process goes smoothly, especially if you have a more complex setup.

    8 Tips for Configuring Adobe Analytics Clickstream Data Feeds

    Here are eight tips from the Openbridge team on how to do this.

    1. Pick Your Report Suite(s)

    Sounds simple, but make sure that you are clear on which RSIDs you want clickstream data from. Build a list of all the RSIDs you want Adobe to package. Some companies have multiple RSIDs, which can mean requesting delivery for each. If you have a global rollup configured for all RSIDs, you might be able to leverage that. The number of RSIDs will impact the scale and volume of your data — the more RSIDs, the greater complexity for testing (see points 6 and 8).

    2. Determine How Much History

    Define the history you want to be retroactively delivered. Adobe normally will set up “go-forward” feeds. This means that they do not include historical data by default. If you want history, do you want the prior 3, 9, or 13 months? Check with Adobe on current limits. Please note that this can take awhile to set up and complete depending on the scale of the request.

    3. Delivery Period

    Define the period of each delivery. We recommend a single daily export (vs. multiple per day). For a year, you would have 365 timestamped exports for an RSID. Note: This would be multiplied times the number of years and RSIDs. If we get two years of data, for 10 RSIDS, this will result in about 7,000+ daily exports. Factor this into your testing!

    4. Delivery Method

    Define the delivery method/location, including security creds. We suggest Amazon S3 as it will simplify and minimize resource needed relating to storage. SFTP is a viable alternative.

    5. Packaging and Organizing Your Delivery

    Define how the delivery should be organized. I suggest that everything be grouped by RSID. For example, make sure Adobe delivers each RSID to its own location (/<rsid>/20160801_hitdata.tar.gz).

    6. Testing

    Run through a set of test deliveries for one RSID. Validate creds, workflow, and cross-checks. You will want to make sure you have defined a core set of tests to validate that the data meets expectations. Identify issues early as possible, including oddities in the data. Make sure you are inspecting the underlying data during these tests against expected outcomes. Clickstream data will often reveal flaws, gaps, and bugs in tagging that had been previously hidden.

    7. Prioritize

    If you have multiple RSIDs, cadence the deliveries for RSIDs by priority. For example, start with the RSID for brand “X” first. You can validate everything is as expected and then trigger the remaining RSIDs for brand “A,” “B,” and “C.” Adobe may have some suggestions on how best to cadence the deliveries as well.

    8. Ongoing Testing and Audits

    Establish audits of delivered files. If there is a delivery failure or the delivery of the same data more than once, you will want to be able to be able to have an audit trail to provide the Adobe support team. Adobe may have suggestions, but it is usually helpful to track an audit and manifestation of any gaps/issues once every couple of weeks. If needed, this would be sent to Adobe Customer Care, who can then determine a course of action to remediate any issues. The longer you wait to highlight an issue, the longer it will take Customer Care to respond to and fix it. Delays mean they may have trouble finding the batch job for a given day. Adobe may keep a job history around for thirty days so waiting any longer can slow the effort down.

    Additional Areas to Consider

    It is also important to understand that you will need to care for a few other areas which include post processing and additional pieces of data that give your clickstream data context.

    Special Characters

    Adobe describes different sets of rules to create parity with the reporting UI. For example, here is how to calculate the visitor metric:

  • Exclude all rows where exclude_hit > 0.

  • Exclude all rows with hit_source = 5,7,8,9. Keep in mind that 5, 8, and 9 are summary rows uploaded using data sources. 7 represents transaction ID data source uploads that should not be included in visit and visitor counts. 

  • Combine post_visid_high with post_visid_low and count the number of unique combinations.

  • Since you are using raw data, these types of rules are needed to filter events and provide context. Adobe also describes how to handle various special characters native to clickstream data. For example:

  • Starting at the beginning of the file, read until you locate a tab, newline, backslash, or caret character. Perform an action based on the special character encountered:

  • Tab: Insert the string up that point into a data store cell and continue.

  • Newline: Complete the data store row.

  • Backslash: Read the next character, insert the appropriate string literal, and continue.

  • Caret: Read the next character, insert the appropriate string literal, and continue.

  • These reflect some special characters, not all. You may find that new characters are introduced according to how your tagging was implemented. If you have multiple RSID’s, each with different implementation teams and models, it is not uncommon that they introduce their own special characters, sometimes in direct conflict with reserved (delimiter) characters specified by Adobe.

    Lookup Tables

    There are a few files in a clickstream feed. The event data is present in hit_data.tsv, but there is a collection of lookup and helper files provided by Adobe. Here are a few that the ZIP file would contain:

  • column_headers.tsv
  • browser.tsv
  • browser_type.tsv
  • color_depth.tsv
  • connection_type.tsv
  • country.tsv
  • javascript_version.tsv
  • languages.tsv
  • operating_systems.tsv
  • plugins.tsv
  • resolution.tsv
  • referrer_type.tsv
  • search_engines.tsv
  • event_lookup.tsv
  • Our Friend, the eVar

    It is almost always the case that a customer will have their own lookup tables, especially for cases where the use of eVars was unconstrained or did not have a strategy attached. For example, an evar 1 in 2016 may have been repurposed in 2017 to represent something completely different. This means that the underlying context of the data will have changed! Make sure you have a sense of not only how eVars are used today but also in the past. Your tagging strategy and plan should provide these details. Plan accordingly.

    Good Luck!

    Working with clickstream data can be rewarding, especially if your team has the initiative, expertise, and tools to tap into the rich insights that rest within it. With some simple planning and awareness of what the effort entails you can quickly be on your way to harnessing your clickstream data to discover hidden trends, behaviors, and preferences of your customers and visitors!

  • Learn how taking a DataOps approach will help you speed up processes and increase data quality by providing streamlined analytics pipelines via automation and testing. Learn More.

    Topics:

    data visualization ,big data ,clickstream data ,adobe analytics ,data analytics



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    References :


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    Dropmark-Text : http://killexams.dropmark.com/367904/12941898
    Blogspot : http://killexams-braindumps.blogspot.com/2018/01/dont-miss-these-adobe-9a0-279-dumps.html
    Wordpress : https://wp.me/p7SJ6L-2Js
    Box.net : https://app.box.com/s/44xmpw7h9z8et58s01akb9cq7bn1dak9






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