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LOT-803 exam Dumps Source : Using LotusScript in IBM Lotus Domino 8 Applications
Test Code : LOT-803
Test designation : Using LotusScript in IBM Lotus Domino 8 Applications
Vendor designation : IBM
: 90 true Questions
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IBM Using LotusScript in IBM
In September 2018, IBM introduced a brand modern product, IBM Db2 AI for z/OS. This simulated intelligence engine screens facts entry patterns from executing SQL statements, makes expend of computing device getting to know algorithms to select top-quality patterns and passes this tips to the Db2 question optimizer for expend through subsequent statements.
computer researching on the IBM z Platform
In might too of 2018, IBM announced edition 1.2 of its laptop getting to know for z/OS (MLz) product. this is a hybrid zServer and cloud utility suite that ingests performance statistics, analyzes and builds fashions that symbolize the health reputation of quite a lot of indicators, screens them over time and offers actual-time scoring capabilities.
a pair of points of this product offering are aimed at assisting a community of model developers and executives. for example:
It supports multiple programming languages equivalent to Python, Scala and R. This enables information modelers and scientists to expend a language with which they are ordinary;
A graphical user interface called the visual model Builder courses model builders without requiring particularly-technical programming expertise;
It comprises assorted dashboards for monitoring model outcomes and scoring services, as well as controlling the gadget configuration.
This computer getting to know suite became firstly aimed at zServer-based mostly analytics applications. one of the first evident selections changed into zSystem performance monitoring and tuning. gadget management Facility (SMF) records that are immediately generated by the operating gadget deliver the raw information for gadget useful resource consumption equivalent to vital processor utilization, I/O processing, recollection paging and so on. IBM MLz can compile and rescue these information over time, and construct and drill fashions of gadget behavior, ranking those behaviors, establish patterns not effectively foreseen by using humans, strengthen key performance indicators (KPIs) after which feed the mannequin outcomes again into the system to finger device configuration adjustments that may enhance performance.
The next step become to rescue into result this suite to dissect Db2 performance statistics. One answer, referred to as the IBM Db2 IT Operational Analytics (Db2 ITOA) solution template, applies the computing device discovering technology to Db2 operational facts to profit an realizing of Db2 subsystem health. it might probably dynamically build baselines for key efficiency indicators, give a dashboard of those KPIs and provides operational group of workers real-time perception into Db2 operations.
whereas established Db2 subsystem performance is an necessary constituent in usual software fitness and performance, IBM estimates that the DBA advocate team of workers spends 25% or extra of its time, " ... fighting entry direction complications which trigger performance degradation and repair impact.". (See Reference 1).
AI comes to Db2
consider the plight of modern DBAs in a Db2 atmosphere. In modern IT world they should animate one or extra massive information applications, cloud software and database features, application installing and configuration, Db2 subsystem and software efficiency tuning, database definition and management, disaster recovery planning, and extra. question tuning has been in existence considering that the origins of the database, and DBAs are constantly tasked with this as smartly.
The coronary heart of question course analysis in Db2 is the Optimizer. It accepts SQL statements from applications, verifies authority to access the statistics, reports the areas of the objects to exist accessed and develops an inventory of candidate statistics access paths. These access paths can consist of indexes, table scans, quite a few table exist fragment of strategies and others. within the records warehouse and massive facts environments there are continually extra choices purchasable. One of these is the existence of summary tables (sometimes referred to as materialized question tables) that comprehend pre-summarized or aggregated statistics, for this reason enabling Db2 to forestall re-aggregation processing. a different option is the starjoin access course, usual within the statistics warehouse, where the order of table joins is modified for performance motives.
The Optimizer then reviews the candidate access paths and chooses the entry path, "with the lowest charge." cost during this context talent a weighted summation of useful resource utilization including CPU, I/O, reminiscence and different supplies. ultimately, the Optimizer takes the bottom impregnate access path, stores it in recollection (and, optionally, within the Db2 listing) and starts access path execution.
big information and records warehouse operations now consist of utility suites that enable the enterprise analyst to acquire expend of a graphical interface to build and maneuver a miniature information mannequin of the statistics they necessity to analyze. The applications then generate SQL statements according to the users’ requests.
The issue for the DBA
as a passage to carry out respectable analytics for your multiple facts stores you necessity an outstanding knowing of the facts requirements, an understanding of the analytical functions and algorithms available and a excessive-efficiency facts infrastructure. alas, the number and location of statistics sources is expanding (each in dimension and in geography), facts sizes are starting to be, and purposes proceed to proliferate in number and complexity. How should IT managers pilot this environment, chiefly with the most experienced and mature personnel nearing retirement?
take note additionally that a big fragment of decreasing the whole can impregnate of ownership of these programs is to Get Db2 functions to rush sooner and more efficaciously. This usually interprets into using fewer CPU cycles, doing fewer I/Os and transporting much less records throughout the community. on the grounds that it's commonly intricate to even determine which functions could edge from performance tuning, one manner is to automate the detection and correction of tuning considerations. here is the space laptop discovering and simulated intelligence will too exist used to remarkable impact.
Db2 12 for z/OS and synthetic Intelligence
Db2 edition 12 on z/OS uses the computing device gaining lore of facilities mentioned above to congregate and hold SQL question textual content and access course particulars, in addition to specific performance-related customary assistance reminiscent of CPU time used, elapsed instances and outcomes set sizes. This providing, described as Db2 AI for z/OS, analyzes and retailers the statistics in computer researching fashions, with the mannequin evaluation outcomes then being scored and made purchasable to the Db2 Optimizer. The next time a scored SQL statement is encountered, the Optimizer can then expend the model scoring facts as input to its entry route alternative algorithm.
The result may silent exist a reduction in CPU consumption as the Optimizer makes expend of model scoring input to opt for more suitable access paths. This then lowers CPU expenses and speeds utility response times. a major expertise is that the usage of AI utility does not require the DBA to devour records science expertise or deep insights into question tuning methodologies. The Optimizer now chooses the premiere entry paths based mostly not simplest on SQL question syntax and records distribution statistics however on modelled and scored historic performance.
This can too exist particularly crucial if you rescue facts in numerous locations. as an example, many analytical queries towards huge statistics require concurrent entry to inescapable records warehouse tables. These tables are often known as dimension tables, and they comprehend the information elements constantly used to handle subsetting and aggregation. as an instance, in a retail atmosphere conform with a desk referred to as StoreLocation that enumerates every rescue and its space code. Queries against hold earnings records may too are looking to aggregate or summarize income via vicinity; therefore, the StoreLocation table might exist used by some tall records queries. during this atmosphere it's typical to engage the dimension tables and copy them consistently to the massive facts application. in the IBM world this location is the IBM Db2 Analytics Accelerator (IDAA).
Now feel about SQL queries from both operational purposes, information warehouse users and massive facts company analysts. From Db2's standpoint, whole these queries are equal, and are forwarded to the Optimizer. however, in the case of operational queries and warehouse queries they should most likely exist directed to entry the StoreLocation table within the warehouse. even so, the question from the enterprise analyst against huge information tables should probably access the replica of the table there. This outcomes in a proliferations of potential access paths, and extra toil for the Optimizer. fortuitously, Db2 AI for z/OS can provide the Optimizer the advice it needs to acquire smart access path decisions.
the passage it Works
The sequence of pursuits in Db2 AI for z/OS (See Reference 2) is commonly right here:
all the passage through a bind, rebind, prepare or justify operation, an SQL remark is handed to the Optimizer;
The Optimizer chooses the facts access path; as the option is made, Db2 AI captures the SQL syntax, entry route option and question efficiency statistics (CPU used, and so forth.) and passes it to a "gaining lore of project";
The discovering assignment, which will too exist finished on a zIIP processor (a non-frequent-purpose CPU core that doesn't aspect into application licensing fees), interfaces with the computer learning utility (MLz mannequin capabilities) to store this assistance in a mannequin;
as the volume of records in every mannequin grows, the MLz Scoring service (which can too exist completed on a zIIP processor) analyzes the mannequin information and rankings the habits;
right through the next bind, rebind, rescue together or explain, the Optimizer now has access to the scoring for SQL fashions, and makes acceptable adjustments to entry route choices.
There are additionally various user interfaces that give the administrator visibility to the fame of the amassed SQL remark performance statistics and mannequin scoring.
IBM's computing device studying for zOS (MLz) offering is getting used to tremendous result in Db2 version 12 to augment the efficiency of analytical queries in addition to operational queries and their associated applications. This requires administration consideration, as you necessity to check that your enterprise is ready to consume these ML and AI conclusions. How will you measure the costs and merits of the usage of computer researching? Which IT pilot team of workers should exist tasked to reviewing the result of mannequin scoring, and maybe approving (or overriding) the effects? How will you assessment and justify the assumptions that the application makes about entry path choices?
In different words, how smartly carry out you know your records, its distribution, its integrity and your current and proposed entry paths? this may determine the space the DBAs spend their time in assisting analytics and operational application efficiency.
# # #
John Campbell, IBM Db2 distinctive EngineerFrom "IBM Db2 AI for z/OS: raise IBM Db2 application performance with computer studying"https://www.worldofdb2.com/movements/ibm-db2-ai-for-z-os-raise-ibm-db2-utility-performance-with-ma
Db2 AI for z/OShttps://www.ibm.com/guide/knowledgecenter/en/SSGKMA_1.1.0/src/ai/ai_home.html
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Using LotusScript in IBM Lotus Domino 8 Applications
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IBM crosses signals: Domino or Workplace?
By Stephen Swoyer
Rumors about the impending demise of IBM’s Lotus Notes/Domino platform are nothing new. However, when IBM announced its Lotus Workplace messaging and collaboration platform in late 2003, the lot of the venerable combination seemed lost in space.
Workplace, for the uninitiated, is a messaging and collaboration platform that’s powered by IBM’s WebSphere Web Application Server. Many Lotus customers are wary about Workplace because tall Blue already markets Lotus Notes, another messaging and collaboration environment, which is based on another application server, the near-decade-old Domino.
At first, IBM was mindful to position Workplace as an offering for shops without Notes and Domino—or any other messaging platform, for that matter. Over the terminal 12 months, however, IBM has disclosed more ambitious plans for Workplace. Officials are adamant that Notes and Domino aren’t going anywhere, of course. However, at the very time, the company is delivering, or plans to deliver, more tools to promote Domino and Workplace coexistence–or to facilitate full-fledged Domino-to-Workplace migrations. At some point, IBM officials say, Domino and Workplace will converge into one product.
It’s not surprising, then, that some longtime Notes/Domino developers engage a decidedly pessimistic view of that platform’s future. 'As far as I can uncover from the buzz, Domino is on the passage to its grave within the next few years, and I will exist forced to find an alternative,' says Robert LaRock, a programmer with benchmark Abrasives. When that happens, he says, Workplace probably won’t exist on his short list. benchmark Abrasives is a wee company, and LaRock doesn’t devour the budget or in-house expertise to transition to Workplace or WebSphere. 'We devour several critical applications running on the Domino platform, in addition to mail,' LaRock explains. 'Our company has a considerable investment in Domino evolution skills and infrastructure. It will exist painful to abandon it.'
However, whole this begs the question: Why should longtime Lotus customers such as benchmark Abrasives jump ship to Workplace? After all, Domino is justly celebrated as a platform that enables the rapid evolution of collaborative applications, and many shops devour made substantial investments in custom Domino-based software projects.
What’s more, before IBM delivered Domino in 1996, the programming community concentrated heavily on the Notes client. If customers acquire the drag to Workplace, they’ll want to engage these applications based on Domino/Notes with them. Depending on how significantly they devour invested in the platform, this could exist a daunting proposition. Unless IBM pulls the plug on Notes and Domino, some say, there’s Little random these customers will budge on their own.
'None of my clients has made the migration, nor are they intending to,' says Patricia Egen, a principal with Notes and Domino consultancy Patricia Egen Consulting. 'They are too confused—as they whole are—by the IBM plan, and until they devour a more comfortable sentiment of what’s actually in the works, they are not choosing to move.'
Nevertheless, IBM believes many customers will want to carry out just that. What practicable incentive, short of threatening to tug the plug on Domino and Notes, could IBM give existing customers to convince them to acquire the drag to Workplace?
Domino is RADDomino’s biggest selling point is its ease of use, particularly from a programming perspective. Its primary evolution environment, Domino Designer, uses a script-based language called LotusScript, which many Notes and Domino developers compare to Visual Basic, both for its simplicity and rapid application evolution capabilities. 'We can whip out an application in under a week and sometimes Get the first prototype in just a pair of hours,' says John Dillon, developer and administrator for a $100 million research and evolution company.
This is often the case, Dillon says, even when applications devour demanding workflow requirements, thanks largely to the Notes and Domino combo’s excellent workflow management capabilities. There’s canned advocate for workflow management in the base Domino Designer IDE, and IBM offers a standalone Lotus Workflow product, a graphical design tool and workflow engine that sits on top of Domino and speeds the creation and deployment of apps that devour sophisticated workflows. 'Obviously the bigger systems enjoy travel or purchasing require quite a bit more time to rescue together, but lessons learned in the tall projects devour really streamlined their evolution process for smaller projects as well,' he comments.
Dillon isn’t the only developer who sings the praises of Domino’s RAD and workflow management capabilities. engage longtime Notes and Domino shop benchmark Abrasives, which has built several custom applications on top of Notes and Domino, including a research and evolution project tracking and management advocate system, an action request system, and an employee records application. whole involve knotty workflows that finger a number of different applications and systems.
In this respect, LaRock says, the talent to quickly and cheaply build powerful collaborative applications helps offset the comparatively tall cost of Notes and Domino’s annual licensing and maintenance fees. 'Frankly, the yearly licensing for Domino is exorbitantly expensive for us. However, the tall cost is offset by the low cost of development,' he confirms.
LaRock doubts he and his team of Domino developers could duplicate their toil with as Little pains in a Workplace environment. 'Our custom applications revolve around automating various workflows and integrating them with Domino’s talent to easily present applications using Notes clients and Web browsers,' he confirms. 'We acquire extensive expend of Domino’s talent to create workflow, notification and tracking applications. The primary appeal is the ease and hurry that this can exist done using Domino.'
Domino dynamo: this 20-year veteran buys you more bang for your buck than ever before. Martin Leon tells you about the virtues of Domino and how much mileage you can Get out of this dynamo of an application platform.
Like this article? They recommend
I devour been a Domino developer for the past 13 years, and for as long as I devour been working with the platform, I am continually surprised and dismayed to devour to justify to technical recruiters or interviewers what Lotus Domino is and what you can carry out with it. My daunt is because although there are a few key features that acquire Domino stand out from other application evolution platforms, I've heard repeatedly throughout my tenure as a Domino developer that "Domino is dead."
Thus, I write this article to set things straight.
There are a few key features that acquire Domino stand out from other application evolution platforms. In this article, I want to picture these features and note you how they can profit your bottom line.
So what is Domino? Lotus Domino is an IBM product that has a history going back 20 years. At its core, Domino is a cross-platform application server. It provides security, database, mail, web, and job scheduling services. Also, Domino can exist extended through add-ons to provide additional functionality.
Figure 1 A single Domino server provides a wide variety of services.
The latest release of the Domino server is version 8.5. A Lotus Domino 8.5 server can exist installed on Windows (Windows Server 2003 and 2008 including X64 versions), Linux (Novell SUSE and Red Hat Enterprise Linux), Sun Solaris, and IBM AIX 5.3 and 6.1.
Most people devour heard of "Lotus Notes" or "Notes Mail." The latter is a bit of a misnomer because mail is only one of the services and applications that arrive included in the platform. Within the platform the Lotus Notes Client is the "client" and Lotus Domino is the "server".
Originally, you purchased a Lotus Notes Server along with as many Lotus Notes Clients as you needed for your business. In 1995, when Notes R4.5 was released, the server portion of this client-server relationship came with an integrated HTTP server that provided web access to the Lotus Notes applications that it was hosting.
From that point on, you no longer needed to buy Lotus Notes Clients to access Notes applications, not even for the email application.
Now you had the option to expend a web browser as your application client. HTTP integration marked the point when the server product began to exist sold separately as the Lotus Domino Server and was a key turning point in how HTTP integration allows you to develop Domino applications targeted at web browsers in addition to, or instead of, the Lotus Notes Client.
How to create a simple Todo app using
IBM Notes, with IBM ODBC Driver
Creating the Todos view and Todo Form
Create an todos.nsf database in Notes with a view with the alias designation todos, and a contour called Todo.The todos view, should devour a column called unid, todoText and todoComplete. The unid column shows the documents universialID.
Create a contour with the fields, todoText and todoComplete.
Then create a modern Todo document with some data.
Configuring the ODBC driver
You’ll necessity the IBM ODBC Driver for Notes/Domino. You can Get it from http://www.ibm.com/developerworks/lotus/toolkits.html
If you want to expend the driver with the Notes Client, you’ll necessity to expend the 32bit version.
Download and install the driver, then start up the windows ODBC manager.
Add a modern Lotus Notes SQL Driver (*.nsf)
Config the driver, expend local for server, and todos.nsf for database.
I did add my user.id file and my password to the driver, then I don’t devour to rescue in that information when connecting to the database later.
Go to the Connection Pooling tab(in ODBC Manager), I added 600 sec. for the Lotus Notes SQL Driver.
Installing odbc driver for node
For connection to the odbc in node I’m using the node-odbc driver. The node-odbc driver requires node-gyp, if you devour danger installing it, read the install instructions over at https://github.com/nodejs/node-gyp
npm install odbc
Test the connection
Create a file called app.js
If your connection is OK, it should print one row with the document they created earlier.
The Todo Expess app
The required dependencies, are:
Create the endpoints for the comfort API.
The complete app.js should study enjoy this
Now their comfort api is completed.
There are plenty of tutorials on how to create an angular Todo apps. Instead of repeating that information here, you can download the complete Todo app with with both the Express app and the Angular front-end from https://github.com/nthjelme/notesnodetodo
After you devour downloaded the code, open a console, cd to the folder you downloaded the code, and type:
npm installnpm start
Open http://localhost:3000 in your browser, and you should exist able to survey the Todo app running! (If you created the view,form the odbc connection the very passage as above.)