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70-466 exam Dumps Source : Implementing Data Models and Reports with Microsoft SQL Server
Test Code : 70-466
Test appellation : Implementing Data Models and Reports with Microsoft SQL Server
Vendor appellation : Microsoft
: 173 actual Questions
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synthetic intelligence can drudgery wonders, however regularly it really works in inscrutable ways.
computing device gaining knowledge of is in keeping with the precept that a application program can analyze an incredible set of data and excellent-tune its algorithms to detect patterns and compass up with solutions that humans may additionally omit. That’s how Google DeepMind’s Alpha Go AI agent discovered to play the historic video game of Go (and other games) well ample to beat expert players.
but when programmers and clients can’t device out how AI algorithms came up with their consequences, that black-box conduct can moreover breathe a trigger for concern. it may possibly swirl into unimaginable to elect no matter if AI brokers occupy picked up unjustified biases or racial profiling from their records units.
That’s why terms reminiscent of transparency, explainability and interpretability are taking section in an expanding role within the AI ethics debate.
the eu commission contains transparency and traceability among its requirements for AI techniques, in keeping with the “right to explanation” laid out in facts-coverage laws. The French government already has committed to publishing the code that powers the algorithms it uses. in the united states, the Federal alternate commission’s office of know-how research and Investigation has been charged with presenting assistance on algorithmic transparency.
Transparency figures in Microsoft CEO Satya Nadella’s “10 laws of AI” as smartly — and Erez Barak, senior director of product for Microsoft’s AI Division, addressed the issue head-on today on the international synthetic Intelligence conference in Seattle.
“We confidence that transparency is a key,” he observed. “how many points did they believe? Did they accept as equitable with simply these 5? Or did they accept as equitable with 5,000 and elect these five?”
Barak referred to that a application developer’s materiel for explainability and interpretability is constructed remedy into Microsoft’s Azure desktop getting to know provider. “What it does is that it takes the mannequin as an input and starts breaking it down,” he pointed out.
The mannequin explanation can array which components went into the computing device mannequin, and the way they occupy been weighted by means of the AI equipment’s algorithms. as a result, purchasers can stronger prefer note why, for instance, they had been turned down for a loan, omitted for a job opening, or denied parole.
AI builders can additionally employ the model explanations to construct their algorithms greater “human.” as an instance, it may breathe preferable to Go with an algorithm that doesn’t appropriate a practising set of records rather as smartly, however is greater prostrate to promote equity and tarry away from gender or racial bias.
As AI applications develop into more pervasive, requires transparency — perhaps enforced via government law — might neatly swirl into superior. And that runs the random of disclosing exchange secrets hidden within a corporation’s intricately formulated algorithms, celebrated Elvira Castillo, a accomplice at Seattle’s Perkins Coie law firm who specializes in change rules.
“Algorithms are typically issues which are closely guarded. … That’s not some thing that you simply always wish to breathe transparent with the general public or with your rivals about, so there is that basic tension,” Castillo spoke of. “That’s extra at challenge in Europe than in the U.S., which has tons, a marvelous deal, tons improved and aggressive enforcement.”
Microsoft has already taken a powerful stance on dependable AI — to the point that the business has became down potential purchasers who sought to employ AI functions similar to facial recognition in ethically problematic techniques.
After his speak, Barak told GeekWire that Azure laptop gaining knowledge of’s explainability feature may well breathe used as an open-supply device to peep interior the black province and investigate that an AI algorithm doesn’t perpetuate all-too-human injustices.
Over time, will the application industry or other stakeholders strengthen a set of specifications or a “seal of approval” for AI algorithms?
“We’ve considered that in issues relish security. those are the sorts of thresholds which occupy been set. I’m pretty bound we’re heading in that path as neatly,” Barak pointed out. “The conception is to supply everyone the visibility and capacity to enact that, and those necessities will strengthen, fully.”
Microsoft has been concerned about assisting records scientists song and control their computer studying experiments for a while now. as an instance, the enterprise's Azure computing device discovering (Azure ML) cloud carrier has supported the logging of experiments, including iterative runs with varying algorithms, hyperparameter values, or each.
while Azure ML has had its personal framework for such test monitoring and tracking, ultimately year's Spark+AI Summit, its associate Databricks launched the open supply MLflow challenge for handling equivalent projects. MLflow is designed to drudgery from most any atmosphere, together with the command line, notebooks and extra, and its recognition has grown impressively over the ultimate year, ostensibly on account of that open orientation.
also examine: Apache Spark creators set out to standardize dispensed computer getting to know working towards, execution, and deploymentConnecting the dots
Microsoft and Databricks are close partners, and MLflow is natively supported in Azure Databricks. however today, at this yr's Spark+AI Summit, the two businesses are saying that Microsoft will now breathe an vigorous contributor to the MLflow task and should assist it natively from Azure ML.
As random would occupy it, i am at the visible Studio live! conference in New Orleans this week, and that i prefer location to presenting on Azure Databricks nowadays. As a section of that presentation, i occupy been engaged on a demo of MLflow just this week, so this information is fairly well timed.a bit code will enact ya
while many aspects of doing desktop researching may moreover breathe quite advanced and even a bit of Rube Goldberg in nature, MLflow is refreshingly standard. simply with the aid of including just a few lines of code within the office or script that trains their model, information scientists can log parameters, metrics, artifacts (plots, miscellaneous information, and so forth.) and a deployable packaging of the ML mannequin. every time that characteristic or script is run, the consequences might breathe logged automatically as a byproduct of these lines of code being delivered, besides the fact that the birthday party doing the training race makes no special effort to listing the outcomes.
MLflow software programming interfaces (APIs) are available for the Python, R and Java programming languages, and MLflow sports a language-agnostic leisure API as neatly. Databricks says the undertaking has practically 500,000 month-to-month downloads, over 80 code contributors and forty contributing organizations.
Now Microsoft should breathe an lively contributor to the task, too. That may still aid standardize the DevOps of AI, across languages, clouds and desktop learning frameworks. And, in case you question me, that standardization cannot compass quickly sufficient.
Two U.S. groups arguably dominate the turning out to breathe cloud infrastructure, and that they both file later this week even as they battle each and every other to breathe the 2nd optimum-valued inventory through market capitalization.
We’re talking about Microsoft (MSFT) and Amazon (AMZN), each businesses that begun out widespread for one thing (software in the case of Microsoft and on-line books for Amazon), and occupy increased their attain into other business areas through the years as they’ve grown. Now, both are duking it out in cloud computing.
Microsoft is scheduled to record fiscal Q3 profits after the shut Wednesday, with Amazon expected to document Q1 profits after the shut Thursday.
As a reminder, cloud computing gives a means for agencies to entry servers, storage, databases and software services over the information superhighway. a company relish AMZN or MSFT owns and keeps the community-connected hardware required for these functions, while their company clients can employ what they want through the net without having to construct or purchase costly hardware platforms.
because the two organizations’ cloud agencies develop, they’re touting partnerships and expanding their compass even to rivals in order to climb to the proper.
as an example, past this 12 months, MSFT introduced a partnership with Walgreens Boots Alliance (WBA) to strengthen new health custody delivery models and for WBA emigrate most of its infrastructure into MSFT’s Azure cloud. This adopted an identical announcements by way of MSFT of deals with Kroger (KR) and Walmart (WMT). The entertaining aspect, as analysis enterprise CFRA notes, is that All three of those corporations are additionally competitors of cloud chief AMZN.
on the identical time, Amazon counts certainly one of its personal largest opponents—Apple (APPL)—as a huge customer for its cloud platform, with CNBC reporting this week that AAPL is spending greater than $30 million a month on Amazon’s cloud even as AAPL invests to build its personal facts storage. With AAPL consumers the usage of one thousand million gadgets a month, AAPL has giant storage necessities, and AMZN’s cloud could breathe one beneficiary notwithstanding the two are competitors in different enterprise areas.
Getting again to MSFT, total industrial cloud revenues rose forty eight% in Q2 to $9 billion while Azure revenues rose seventy six%. Azure extend became additionally seventy six% in Q1. The Q2 Azure extend became nothing to sneeze at, but the equal as the musty quarter. Now we’ll remark how issues went in the first few months of 2019 at a time when corporate capital bills perceived to soften, in line with the Fed and up to date economic. records.
One question is whether cloud growth in the company’s fiscal Q2 bought twinge by means of the slowing international pecuniary system and may occupy bounced again in fiscal Q3. Shares of MSFT are up sharply so far this year, most likely an indication that traders are optimistic that’s the case.
Over at Amazon, earnings from Amazon’s cloud platform Amazon internet features rose 45% to $7.43 billion in q4 and represented about 10% of the company’s complete quarterly earnings. relish MSFT, the business could conceivably breathe coping with slower capital expenditures from valued clientele, and both MSFT and AMZN faced a more robust dollar in early 2019 vs. a yr ago that could occupy slowed income to foreign places clients.thinkorswim
beyond the Cloud
That referred to, analysts are expecting big things from both AMZN and MSFT, and that goes past cloud computing. in view that MSFT began out as a private laptop utility enterprise and Amazon All started out as a web items vendor, those classes nevertheless play Big roles in both their corporations. There’s optimism on Wall highway about MSFT’s Microsoft workplace platform and Amazon’s staggering working revenue positive factors. A suit U.S. consumer could potentially aid raise Amazon’s on-line retail and complete foods agencies.
although, Amazon top growth appears to breathe slowing, in response to market analysis enterprise client Intelligence research partners. That’s might breathe troubling as a result of best members tend to expend more at Amazon than non-best members.
meanwhile, over at MSFT, there changed into some sequential profits extend slowdown in both productivity and business items and greater personal Computing segments from fiscal Q1 to Q2. developments in these agencies—which involve workplace commercial and windows business items—may breathe whatever thing to confidence checking in fiscal Q3.
looking lower back information for Q1, AMZN talked about net income are anticipated to breathe between $fifty six billion and $60 billion, or to grow between 10% and 18% in comparison with Q1 2018. The income guidance was a bit of decrease than some on Wall highway had anticipated, and a few analysts referred to as it downbeat. Amazon additionally spoke of possibly expanding its spending boom in 2019, which may probably weigh on profits.
MSFT, whose Q2 profits got here in just a cramped under third-celebration consensus expectations, moreover shared earnings information that just neglected the road’s thoughts. Microsoft said then it expects fiscal Q3 profits of between $29.four billion and $30.1 billion. The midpoint of that ambit become just beneath the commonplace analyst evaluate when MSFT released the counsel.
One component to conform with intently looking at is MSFT’s revenue increase, which slipped from fiscal Q1 to fiscal Q2. It rose 12% year-over-12 months in Q2.
And for anyone keeping score, MSFT enters revenue simply forward of AMZN in the fight for 2d location in total market capitalization (AAPL is back in the lead). As of the start of this week, MSFT had a market cap of around $950 billion, with AMZN at $922 billion. AAPL remains in sight of each at $965 billion.
Microsoft profits and alternate options pastime
When MSFT releases results, it's expected to document adjusted EPS of $1, up from $0.95 in the prior-yr quarter, on profits of $29.eighty four billion, in response to third-celebration consensus analyst estimates. That earnings would signify eleven.three% boom from a 12 months ago.
alternatives merchants occupy priced in approximately a 2.eight% inventory cost amble in either course across the upcoming earnings release, in accordance with the Market Maker flux indicator on the thinkorswim® platform. Implied volatility become at the 21st percentile as of this morning.
searching on the April 26 weekly altenative expiration, appellation volume has been energetic on the 124 and a hundred twenty five strikes, however the most vigorous strike via some distance has been the 126 calls. location extent has been vigorous on the one hundred twenty and 123 strikes.
Amazon salary and options activity
When AMZN releases consequences, it's anticipated to record adjusted EPS of $4.72, up from $3.27 in the prior-year quarter, on revenue of $fifty nine.65 billion, in response to third-celebration consensus analyst estimates. That income would symbolize sixteen.9% boom from a 12 months ago.
options merchants occupy priced in about a 3.5% stock fee circulation in both direction across the upcoming salary unencumber, according to the Market Maker flux indicator on the thinkorswim® platform. Implied volatility become on the 34th percentile as of this morning.
looking on the April 26 weekly options expiration, call volume turned into relatively light overall but heaviest at the 1900 strike. location quantity turned into moreover light, however heaviest on the 1850 and 1860 strikes.
notice: call options signify the right, however not the duty, to purchase the underlying security at a predetermined rate over a group length of time. location alternate options picture the correct, however no longer the responsibility to promote the underlying safety at a predetermined rate over a set age of time.
TD Ameritrade® commentary for academic functions best. Member SIPC.
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Data imports picture some of the more commonly performed database management tasks. Learn about a number of traditional SQL Server data import techniques that you can leverage when importing data into Azure SQL Database.
Learn how to find the current identify column value in your Microsoft SQL Server tables.
Learn how to create default database compression for your SQL Server databases.
Template-based provisioning simplifies deployment and promotes principles of DevOps and Infrastructure as Code, making it the recommended routine for implementing cloud-based services. However, its benefits extend beyond initial implementation, since you can apply it to configuring and maintaining existing Azure SQL Database instances. In this article, you explore an example of this approach.
Back to the basics: learn how to Create, Read, Update and Delete operations are pivotal for any database application. Plus, you’ll remark how to employ Stored Procedures to exploit data on the database side instead of on the application side.
With backup compression you can quicken up their backups, while making your backups smaller.
Azure provides a number of different methods that can breathe used in order to implement and configure its resources. Each of the methods differs to some extent in regard to functionality and intended employ cases.
A new error message in SQL Server 2019 will construct your life much easier!? Learn more...
Sometimes performance is more primary than exact accuracy. Learn how to net an approximate import in SQL Server with better performance.
A peep at ten top databases fighting for mind-share in 2019.
Transitioning to the Platform-as-a-Service model typically implies relinquishing certain degree of control over your computing environment. One of the primary concerns related to this transition is diminished flat of transparency providing insights into performance of cloud-resident workloads. Fortunately, with Azure SQL Database, you occupy a wide ambit of options that address this concern, allowing you to identify and remediate overwhelming majority of performance-related issues.
Explore the Azure Data Studio dashboards and remark how to customize one of these dashboards to involve a new widget.
On September 24th Microsoft released the first Community Technical Preview for SQL Server 2019, which was CTP2.0. At the identical time Microsoft pushed out a new preview for SQL Server Management Studio (SSMS) known as version 18. Now is the time to download this new preview!
Microsoft announced the release or CTP 2.1 for SQL Server 2019. This is the second CTP released for SQL Server 2019, and it has lots of new exciting features, relish " UDF inlining". Read on to find out more!
Azure DevOps Server has officially been released. The successor to Team Foundation Server, Azure DevOps Server is a comprehensive suite of software evolution tools that integrates with existing integrated evolution environments (IDEs) to aid facilitate cross-functional software evolution and deployment. This latest platforn is aimed at customers who requisite to host and race Azure DevOps while delivering a consistent codebase.
Here are 10 things you requisite to know about the new platform.
1. There are three options available for Azure DevOps deployment: on premises, self-hosted in the cloud, or through a hosted service in Azure. And you can implement All of the Azure DevOps services in any of the three deployment options: Azure Boards, Test Plans, Artifacts, Pipelines and Repos All are compatible with the new “run anywhere” aspect of Azure DevOps Server 2019. Thanks to the consistency with the existing Azure codebase, you can moreover prefer advantage of the Extensions Marketplace, with hundreds of community and enterprise-developed extensions for Azure DevOps.
2. Expanded uphold for Azure SQL Database, in addition to the existing uphold for Microsoft SQL Server, may breathe one of the most primary features of the new platform. This allows enterprises to host their Azure SQL DevOps deployments in the cloud in Azure, or in their own “earthed” data centers in Microsoft SQL Server.
3. The new management interface is available to those who upgrade from earlier versions of Team Foundation Server. This new interface allows for start-to-finish analysis of deployments, so you can easily determine where deployments succeed--and where they don’t.
4. You can mix-and-match agents across on-prem and in any cloud on Windows, Linux or Mac, and deploy to IaaS and PaaS in Azure, as well as on premises. There are moreover added hubs for new drudgery items covering recently assigned drudgery or drudgery that has been recently updated.
5. A new Backlogs hub splits the existing (and overly encumbered) Backlogs hub into three new hubs: Backlogs hub, just backlogs; a Boards hub for All Kanban Boards for a give project; and a new Sprints hub for planning and executing drudgery tasks. There are moreover improvements to the existing Queries hub. Sprint planning is expedited and improved through a new sprint planning experience. A complete set of enhancements and updates institute in this release of Azure DevOps Server can breathe institute in the official release notes.
6. If you can race Team Foundation Server 2018, then you’re well on your way to upgrade to Azure DevOps Server 2019. According to Jamie Cool, director of program management, Azure DevOps, there are no changes in uphold for All existing operating systems and SQL Server in this evolutionary release. States Cool: “A direct upgrade to Azure DevOps Studio is supported from any version of TFS, which includes Team Foundation Server 2012 and newer. If your TFS deployment is on TFS 2010 or earlier, you will requisite to execute some interim steps before upgrading to Azure DevOps Server 2019.” For complete installation details, refer to the installation page on the Azure DevOps Server website.
7. Microsoft offers a free Express version of Azure DevOps Server for individual developers and teams of five or fewer. Azure DevOps Server Express can breathe downloaded and installed to your personal desktop or laptop without the requisite for a dedicated server. Once your team grows beyond five members, you can easily upgrade to the full version of Azure DevOps Server and port All your history, files and worklows. To download and net started with Azure DevOps Server Express, click here.
8. In April Microsoft announced that analytics features would breathe included in Azure DevOps Services at no additional cost.: Burndown and Burnup; Cycle Time and Lead Time; Cumulative flux Diagram; Velocity; Test Results Trend; and Top Failing Test Report.
9. Microsoft has location out a bounty on Azure DevOps bugs. Microsoft has invited eligible researchers to identify and report security vulnerabilities in targeted Azure DevOps services and products.
10. Azure DevOps Server enables the integration of GitHub Enterprise commits and pull requests with drudgery items in Azure Boards.
Implementing Tabular Data Models
Date: November 11, 2014
Time: 9am?5pm PST
Where: Live, online virtual classroom:
Register today! (linkto: http://www.microsoftvirtualacademy.com/liveevents/implementing-tabular-data-models)
What will you enact with All that data?
What about building corporate BI solutions, creating self-service analysis, and setting up custom reporting? In “Implementing Tabular Data Models,” on November 11, we’ll prefer a detailed peep at in-memory databases, known as tabular data models, supported by SQL Server Analysis tools. net practical insights from the experts, including Julie Koesmarno, fresh from the SQL PASS acme 2014, and celebrated author Patrick LeBlanc.
Learn to enrich the data model to meet analytical requirements, net the details on DAX queries for custom reporting, and hear tips and techniques for near real-time solutions. Watch a step-by-step build of an actual tabular data model, and hear about common pitfalls. Let us aid you construct sense of All that data!
Talk to you soon,
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