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9L0-609 Mac OS X Deployment

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9L0-609 exam Dumps Source : Mac OS X Deployment

Test Code : 9L0-609
Test denomination : Mac OS X Deployment
Vendor denomination : Apple
: 36 actual Questions

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Apple Mac OS X Deployment

Mac Deployment tools: a top level view of the most advantageous methods to Roll Out a unusual Mac Lab or supplant an ancient One | actual Questions and Pass4sure dumps

New Macs, unusual versions of Mac OS X, unusual software, and unusual college years full translate to at least one thing for Mac IT staff: deciding on the most suitable routine to roll out the brand unusual computers, software, classrooms, or configurations. Ryan Faas offers you an outline of the diversity of tools accessible from Apple and third events, and tells you the route to roll out with much less cataclysm and fewer headaches.

Like this text? They recommend 

Deployments are a allotment of life for IT staff, be they deployments of unusual workstations, unusual applications or other configuration alterations, or deployments of complete unusual labs and networks. those working in schooling regularly expend the days before a faculty 12 months or unusual school semester readying classrooms and laptop labs with the aid of doing desktop cleanup and updates (just about, wiping the challenging drives of workstations after which deploying a brand unusual system configuration onto them). alas, deployments can either be hassle-free or riddled with complications without both confiscate planning and the amend tools. this article makes a speciality of the amend tools for Mac IT staff charged with planning and managing deployments and rollouts.

There are a number of tools and methods which are, via this aspect, considered tried and proper, together with the venerable Apple application repair in both network and local disk diversifications (along with a few GUI front ends to ease the deployment technique), Mac OS X Server’s NetInstall feature, Apple far off laptop, and the open source Radmind utility. additionally protected are notebook administration tools comparable to FileWave and NetOctopus. We’ll watch in short at each and every alternative, its methodology, and its pros and cons for quite a lot of styles of deployments.

Apple utility restore (ASR) has been a device for Mac administrators and technicians for very nearly 20 years. In Mac OS X, ASR is a command-line tool that is a allotment of each Mac OS X free up. ASR uses disk photos created with the Apple Disk Utility (or an analogous device) as a source of goal workstations. it could possibly overwrite an latest disk with a targeted graphic. as a result of disk photographs comprise a fully configured device (Mac OS X, installed application, tackle configuration, and so forth), ASR lets you at once deploy read-to-use workstations. It isn't, youngsters, a particularly respectable tool for applying application updates or rolling out a sole or restrained amount of functions.

ASR can expend a disk lifelike kept on a native disk (such as a hard pressure or CD/DVD) as a supply for deployments or it might expend a disk photo that is stored on a server. Being a command-line application, it is feasible to excite ASR operations remotely. despite the fact, because the goal challenging pressure or partition can be overwritten as a allotment of the ASR method, workstations need to be begun from an alternate Mac OS X boot disk (typically an exterior challenging coerce or alternate partition).

to manufacture expend of a disk picture as a source for ASR, the lifelike contain to first be "scanned" with the ASR utility. The scanning procedure optimizes the lifelike to be used with ASR and may reorder parts of the photo for quicker copying. counting on the size of the picture, this procedure could manufacture an effort.

Siri Deployed on Mac OS X by means of Air ordain | actual Questions and Pass4sure dumps

Developer Avatron software has released a two-piece utility that permits anybody who uses an iPhone and a Mac to set up Siri Dictation on Mac OS X. The only seize is that you just really want the unusual iPhone 4S mannequin which facets the Siri assistant.

The odds privilege here is to net Siri Dictation working on your Mac: “Like Siri on your iPhone 4S? you'll find it irresistible much more for your Mac,” says Avatron. “With Air Dictate, that you may enter text to your computer with the aid of speakme into your iPhone 4S. or not it's that essential.”

So, for example, if you wish to ordain textual content into Mail, Pages, Microsoft be aware, and even Apple’s own TextEdit app, full you need is the Air ordain app in your iPhone 4S and the Air ordain Receiver app on your Mac. From there on, simply pair the two and start speakme.

The guidance supplied through Avatron software are reproduced under:

On Mac:

- Launch any app that allows textual content input. for example: TextEdit, Mail, Pages, Microsoft word.

On iPhone 4S:

- Launch the Air ordain app.

- select your Mac from an inventory of regional computers.

- Press the microphone button, talk for ages, and press the button once more to stop.

based on the developer, speech will net converted into textual content and emerge immediately in the text container on your Mac, just as if you had typed it the usage of your keyboard.

To uphold away from any confusion (that may additionally upward thrust on the a allotment of drooling iDevice owners hoping here's some variety of hack that places Siri on their older iPhones), Air ordain runs only on an iPhone 4S, and requires iOS 5.0. The app costs $0.99 (0.79 EUR).

Air ordain Receiver requires a Mac operating at least Mac OS X 10.6.8 (Snow Leopard) and is free to down load.

Air ordain is simply probably the most fresh software in Avatron utility’s portfolio, which includes such titles as Air display, Air Sharing, and Print Sharing.

discuss with the business here to try full their offerings, or talk over with the hyperlinks beneath to net your dictation on privilege now.

download Air ordain for iPhone 4S

down load Air ordain for Mac OS X (Free)

Apple issues macOS 10.14.3 Supplemental supplant | actual Questions and Pass4sure dumps

Apple on Thursday up-to-date macOS Mojave with the unencumber of the macOS 10.14.3 Supplemental replace. The update become released along with the iOS 12.1.4 update.

The Supplemental update fixes the community FaceTime malicious program that has been making headlines lately. while most people associate the worm with the iPhone, neighborhood FaceTime lead is obtainable on macOS Mojave. The supplant moreover fixes a security issue involving are animate photographs in FaceTime. The safety notes for the Supplemental supplant are available online.

earlier than installing any tackle replace, operate a backup of your information. here are the steps for the installation.

1. within the Finder, click on the Apple menu and watch for an update indication for device Preferences, as proven in the image beneath. in case you discern a demonstration for an replace, select system Preferences.

sytem preference update mojaveIDG

If not, select About This Mac > Overview > application replace.

2. you'll want to be at the window for software update. Your Mac will investigate online to watch if the supplant is obtainable. if it is, click on the update Now button.

3. A warning will seem, mentioning that your Mac will deserve to restart. click download & Restart if you can proceed. The download will assume a couple of minutes and your Mac will instantly restart.

in case your Mac doesn’t restart, proceed returned to the application update window and click the supplant Now button. A Restart button may additionally appear. click on it to proceed.

To handle upon this text and other Macworld content, argue with their fb page or their Twitter feed.

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Mac OS X Deployment

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How-to: Deploying PyQt applications on Windows and Mac OS X | actual questions and Pass4sure dumps

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  • The open source Qt development toolkit is a celebrated choice for cross-platform development. It provides native-looking widgets and tight integration with the underlying platform on Windows, Linux, and Mac OS X. Qt applications that are written in C++ are smooth to compile and deploy across full three platforms, but what if you don't dote C++? I prefer Python, a dynamic programming language with a richly expressive syntax and exceptionally powerful uphold for introspection.

    Fortunately, there are cross-platform Python bindings for Qt. The downside, however, is that packaging PyQt applications so that they can be deployed to users on Windows and Mac OS X is an immensely frustrating and arcane process. I declared conquest eventual week after spending several hours battling with MacPorts and distutils. Now that I contain unlocked the toolkit's dismal mysteries, I can pomp you the hidden secrets that will allow you to achieve mastery of the alchemical art of cross-platform PyQt application deployment.

    First, you'll need access to each platform for which you want to build redistributable packages. The easiest route to accomplish this is to expend a Mac and either triple-boot or virtualize Windows and Linux. The initial setup process for Mac OS X will require a lot of very weighty compilation, so you are going to be in for a world of ache and a very long wait if you try to conclude this on a Mac mini.

    My test application

    My computing environment is a quad core Mac Pro configured to dual-boot OS X and openSUSE 11.1. For Windows, I'm running XP in VirtualBox. I conclude most of my actual development in Linux, but you can conclude it pretty comfortably on any of the platforms.

    My test application, which I call Orbital Liftr, is a simple utility that I made for batch uploading graphics to Ars Technica's content management system. The Ars CMS is built on Movable Type, which means that it supports the MetaWeblog XML-RPC API, and my app lets you upload images to any yardstick Movable sort or WordPress blog that supports the API. The app has a few simple features dote uphold for receiving images via drag-and-drop, and it can proportionally resize them before uploading.

    The program consists of one module of Python code which contains the application logic and a few basic user interface forms that I made with the Qt Designer program. I contain published the complete source code of the program on Launchpad. You can expend it to ensue along with this tutorial, or you can expend your own code.

    PyQt on Windows

    To build a distributable PyQt package for Windows, you first need to set up a working PyQt execution environment. Start by downloading and installing the yardstick Qt SDK from the Qt Software website. Next, you will need to install Python 2.6.1. expend the binary installer for Windows from the Python website.

    The next step is installing the Python bindings, which can be obtained from the download page at the PyQt website. You'll want to net the Windows installer that is compatible with Python 2.6; it's listed at the bottom of the Binary Packages section.

    These components should be enough to give you a fully functional environment for running PyQt applications. You can test it by making a simple PyQt application with a few widgets in a sole .pyw file. If your PyQt environment installed correctly, you should be able to hasten the program by double-clicking the .pyw file in the file manager. There are several case scripts that achieve bundled with the PyQt installation. These can be organize in the site-packagesPyQt4examples folder.

    Now that you contain a working PyQt environment, you need to package up the application so that you can dispense it to users and manufacture it viable for them to hasten it without having to install full of the dependencies. This is done with a utility called py2exe that leverages Python's distutils framework. An installer for py2exe is available from the SourceForge website.

    You will need to adjust your script so that it can provide proper instructions to py2exe. If your program is simple and you already know how to expend distutils, this shouldn't be terribly hard. The following case shows my file:

    from distutils.core import setup import py2exe setup(name="liftr", version="0.1", author="Ryan Paul", author_email="", url="", license="GNU generic Public License (GPL)", packages=['liftr'], package_data={"liftr": ["ui/*"]}, scripts=["bin/liftr"], windows=[{"script": "bin/liftr"}], options={"py2exe": {"skip_archive": True, "includes": ["sip"]}})

    Most of that is pretty much yardstick distutils. The eventual two lines were added to accommodate py2exe. The "windows" parameter specifies the script that py2exe should expend to launch the actual program. As you can see, for a simple program that is being ported from Linux, it's the selfsame thing that you already contain in your "scripts" parameter.

    The "options" parameter allows you to pass specific instructions to py2exe. For PyQt applications, you will need to betray it to comprise sip, a fundamental component of the PyQt binding system.

    The py2exe tool will typically compress full of your required Python library modules into a sole zip file in order to reduce space and uphold your redistributable package clean. I disable that with the skip_archive option. My program dynamically loads the user interface description XML files at runtime, but it can't read those files when they are bundled up in the zip archive.

    When you are building PyQt applications with py2exe, you need to either statically generate your user interface modules from the XML description files in advance, disable archiving with the skip_archive option, or structure your program so that the UI files will not terminate up in the archive.

    After you finish making your script, you can build your redistributable package by running it from the command line:

    $ python py2exe

    The terminal will pomp a lot of messages as it byte-compiles your modules and copies full of the necessary dll files and other dependency components. The automated setup process will assume Place in the "build" directory and everything that your users need will be copied into the "dist" directory. If the script won't execute, manufacture sure that Python is in your PATH environment variable.

    To deploy your application to users, ship them everything that is in the "dist" directory. This adds up to roughly 25 MB for a simple program. It includes the executable and full of the runtime dependencies, which means that users will be able to hasten the program without having to install the other components.

    You can just zip it up and ship it out that way, but it will be more convenient for your users if you give them a sole self-standing executable with a yardstick installer wizard. A lot of PyQt developers seem to dote Inno Setup, a free installer maker.

    Although your users will not contain to manually install Qt or the PyQt bindings, they might silent contain to install the VC++ 2008 Redistributable Package. This package is available directly from Microsoft.

    Deploying PyQt on Windows works reasonably well. Inno Setup uses worthy compression, so you can net your final package down to an acceptable size and manufacture it smooth for users to install. The biggest challenge is getting py2exe to deal appropriately with sure kinds of corner cases.

    If your application is tangled or structured in an unusual way, you might hasten into problems. For example, py2exe doesn't respect the distutils package_data option. There are a few workarounds for problems of that nature, and you can net more details about py2exe from the project's website.

    PyQt on Mac OS X

    Deploying PyQt on Mac OS X was much harder than I initially expected. There are several tutorials out there that clarify how to deal with specific problems that people commonly encounter during the setup process. After much struggling, I managed to net a working PyQt build environment set up on OS X by using information I discovered in several of the tutorials.

    The goal is to produce a totally self-contained app bundle that will allow users to drag your program into their /Applications folder and treat it dote any other piece of Mac software. You can conclude this with py2app, a utility that is very similar to py2exe. Unfortunately, you will encounter solemn versioning problems if you try to manufacture a PyQt app bundle with the native Python installation that is included with the operating system.

    After several unfounded starts, I discovered that the only route to net a PyQt environment that works properly with py2app is to compile the all bloody stack from MacPorts. This is especially tricky because you contain to manufacture sure to configure your environment to expend the MacPorts version of Python before you expend MacPorts to compile the PyQt bindings. If you conclude this step at the wrong time, then nothing will work. I had to try three times before I got it right.

    The basic steps for using MacPorts to net a PyQt environment were published by Aral Balkan in his py2app tutorial. The order in which he lists the steps did not toil for me because his instructions betray you switch to the MacPorts version of Python at the wrong time. The result was that I consistently got a "Bus Error" when I attempted to hasten my program.

    I'm apparently not the first person to encounter this error. When I Googled the message, I discovered a really helpful blog entry by Horacio Mijail Ant�n Quiles. As he explains, the problem is caused when MacPorts uses the system's native Python installation to build the PyQt bindings. It's absolutely imperative that you configure the environment to expend the privilege version of Python before you build the Python-based dependencies.

    To switch to the MacPorts Python installation, you contain to hasten the python_select command. After you expend python_select, the desired Python environment will be used every time you invoke Python for the comfort of the shell session. The following are exactly the steps that I took at the command line to net a working PyQt setup on Mac OS X:

    $ sudo port install python25 $ sudo port install python_select $ sudo python_select python25 $ sudo port install py25-macholib-devel $ sudo port install py25-sip $ sudo port install py25-pyqt4 $ sudo port install py25-py2app-devel $ sudo port install py25-pyqt

    This will assume a very long time to compile, even on a lickety-split computer. After it finishes, you will be able to test it by opening a terminal, running the "python_select python25" command, and then running a PyQt script from the command line.

    The process above will automatically compile and install py2app from MacPorts, so you won't contain to manually conclude so with additional steps. After this process is complete, you'll be ready to build your app bundle. For py2app, you will expend setuptools instead of distutils. This means that you contain to create a divorce file. I call mine

    The py2app suite comes with a utility called py2applet that you can expend to automatically generate the file, but it's pretty smooth to write one by hand. The following is my file:

    from setuptools import setup setup( app=["liftr/"], options={"py2app": {"argv_emulation": True, "includes": ["sip", "PyQt4._qt"]} }, setup_requires=["py2app"])

    The app parameter is the main Python module that you want the bundle to hasten when the program launches. The includes are the high-level components that you want the program to bundle; they need the sip binding layer and the actual PyQt4 bindings.

    The argv_emulation option is a nifty hack that will help native platform integration. When the user puts your app in their dock, they will be able to launch it by clicking it or by dragging and dropping files onto the icon. The argv_emulation option will assume the full paths of the files that are dropped onto the icon and translate them into argv parameters so that your application can process the files.

    After you finish writing your file, you can hasten it from the command line:

    $ python py2app

    This will byte-compile the modules and generate your app bundle. It will expend the build directory for the construction process and then it will build the output in dist, just dote py2exe. The resulting app bundle is a soul-crushing 85MB. I tried several things to reduce the total size, but I didn't really contain much luck.

    I used the ditto tool to divest out PPC code, but that didn't reduce the size at all. Next, I tried Trimmit, which was able to scrape off about 10MB, but broke the program in the process. The only thing you can really conclude to ameliorate the large executable size is compress the app bundle when you manufacture it available for download. Zipping the app bundle reduced its size to about 30MB.

    My problems didn't terminate there. Although the application worked fine on my own computer, it didn't entirely toil properly on other computers. The main problem is that jpeg thumbnails didn't render at all. After some troubleshooting, I discovered that Qt's jpeg image uphold is implemented in a plugin. I tried to build the Qt plugin directory into my app bundle, but I couldn't net it to work.

    I did some searching and I organize a recent blog entry about this problem written by Tory Hoke. She apparently never organize a solution to the problem and decided instead to toil around it by converting jpeg images to PNG on the fly. This is probably what I will conclude too, because my program is already using PIL for some image transformations anyway. The lack of uphold for plugins in py2app applications is a pretty august problem because it means that a lot of other censorious functionality, such as Phonon, isn't going to be accessible.

    It's worth noting that this selfsame jpeg problem moreover impacts Windows builds in some cases, but there is a working solution that will allow programs to expend plugins on Windows.

    PyQt is clearly unsuitable for building distributable Mac applications, and you're probably better off taking a more native approach for Mac ports. For instance, you can expend Apple's Cocoa bindings for Python to build a Mac GUI on top of your Python code. Apple provides full uphold for this throughout the native Mac development tool stack, so you can conclude it with XCode and Interface Builder.

    Some closing thoughts about PyQt

    My development framework of choice has traditionally been PyGTK+, so I'm silent mostly at the toe-dipping stage with PyQt. My initial sense is that there are a lot of advantages to using PyQt and a lot of disadvantages.

    Qt itself is a significantly richer and more powerful toolkit than GTK+. It offers really robust and ripen implementations of notable features that the GTK+ developers are only just now soar to experiment with, such as comprehensive CSS theming, a powerful canvas with input redirection, tightly integrated uphold for the WebKit HTML renderer, and scriptable extensibility with JavaScript. Qt is moreover more conducive to portability and provides a more native watch and feel on supported platforms.

    Although I'm pretty much sold on Qt, the Python bindings leave a lot to be desired. PyQt is not developed or supported by Nokia. It's a third-party commercial project (developed and maintained by Riverbank Computing) that is basically one august hack. There are some uncanny limitations in the APIs and the bindings contain a lot of really grotesque C++ idioms that seep through to the Python side. The most hideous wart is that you contain to build the entire C++ routine sort signature in a string when you bind a signal. If you build in the sort data wrong, then the connection will silently fail.

    The other downside of the PyQt bindings is that they are silent distributed under the GPL, unlike Qt, which was recently moved to the more permissive LGPL. This means that you contain to buy a commercial PyQt license from Riverbank Computing if you want to build proprietary software with the bindings.

    There are several useful tools that might be of value to PyQt application developers. There is a complete integrated development environment called Eric4 that is built with PyQt and is designed specifically for PyQt development. It has refactoring tools, a built-in graphical breakpoint debugger, basic autocompletion support, and a lot of other goodies.

    After spending several days working with PyQt and packaging the applications for deployment on Windows and Mac OS X, I feel that—despite its significant limitations—it's an acceptable solution for a sure class of applications. If you are looking for a toolkit for building a GUI on top of some existing Python code and you want to be able to deploy the program on Windows and Linux, then PyQt might conclude the trick.

    Mac Deployment Tools: An Overview of the Best Ways to Roll Out a unusual Mac Lab or Update an primitive One | actual questions and Pass4sure dumps

    New Macs, unusual versions of Mac OS X, unusual software, and unusual school years full translate to one thing for Mac IT staff: determining the best route to roll out the unusual computers, software, classrooms, or configurations. Ryan Faas gives you an overview of the variety of tools available from Apple and third parties, and tells you how to roll out with less hassle and fewer headaches.

    Like this article? They recommend 

    Deployments are a allotment of life for IT staff, be they deployments of unusual workstations, unusual applications or other configuration changes, or deployments of all unusual labs and networks. Those working in education often expend the days before a school year or unusual college semester readying classrooms and computer labs by doing computer cleanup and updates (essentially, wiping the hard drives of workstations and then deploying a unusual system configuration onto them). Unfortunately, deployments can either be hassle-free or riddled with headaches without both proper planning and the proper tools. This article focuses on the proper tools for Mac IT staff charged with planning and managing deployments and rollouts.

    There are a number of tools and methods that are, by this point, considered tried and true, including the venerable Apple Software Restore in both network and local disk variations (along with several GUI front ends to ease the deployment process), Mac OS X Server’s NetInstall feature, Apple Remote Desktop, and the open source Radmind utility. moreover included are workstation management tools such as FileWave and NetOctopus. We’ll watch briefly at each option, its methodology, and its pros and cons for various types of deployments.

    Apple Software Restore (ASR) has been a tool for Mac administrators and technicians for nearly 20 years. In Mac OS X, ASR is a command-line tool that is allotment of every Mac OS X release. ASR uses disk images created with the Apple Disk Utility (or a similar tool) as a source of target workstations. It can overwrite an existing disk with a specified image. Because disk images contain a fully configured system (Mac OS X, installed application, system configuration, and so on), ASR allows you to quickly deploy read-to-use workstations. It is not, however, a particularly worthy tool for applying software updates or rolling out a sole or limited amount of applications.

    ASR can expend a disk image stored on a local disk (such as a hard drive or CD/DVD) as a source for deployments or it can expend a disk image that is stored on a server. Being a command-line application, it is viable to initiate ASR operations remotely. However, because the target hard drive or partition will be overwritten as allotment of the ASR process, workstations need to be started from an alternate Mac OS X boot disk (typically an external hard drive or alternate partition).

    To expend a disk image as a source for ASR, the image must first be "scanned" with the ASR application. The scanning process optimizes the image for expend with ASR and can reorder portions of the image for faster copying. Depending on the size of the image, this process might assume some time.

    Siri Deployed on Mac OS X via Air ordain | actual questions and Pass4sure dumps

    Developer Avatron Software has released a two-piece utility that allows anyone who uses an iPhone and a Mac to deploy Siri Dictation on Mac OS X. The only enmesh is that you really need the unusual iPhone 4S model which features the Siri assistant.

    The capitalize here is to net Siri Dictation working on your Mac: “Like Siri on your iPhone 4S? You'll dote it even more on your Mac,” says Avatron. “With Air Dictate, you can enter text on your computer by talking into your iPhone 4S. It's that simple.”

    So, for instance, if you want to ordain text into Mail, Pages, Microsoft Word, and even Apple’s own TextEdit app, full you need is the Air ordain app on your iPhone 4S and the Air ordain Receiver app on your Mac. From there on, just pair the two and start talking.

    The instructions provided by Avatron Software are reproduced below:

    On Mac:

    - Launch any app that allows text input. For example: TextEdit, Mail, Pages, Microsoft Word.

    On iPhone 4S:

    - Launch the Air ordain app.

    - select your Mac from a list of nearby computers.

    - Press the microphone button, talk for a while, and press the button again to stop.

    According to the developer, speech will net converted into text and emerge automatically in the text bailiwick on your Mac, just as if you had typed it using your keyboard.

    To avoid any confusion (that may soar on the allotment of drooling iDevice owners hoping this is some kind of hack that puts Siri on their older iPhones), Air ordain runs only on an iPhone 4S, and requires iOS 5.0. The app costs $0.99 (0.79 EUR).

    Air ordain Receiver requires a Mac running at least Mac OS X 10.6.8 (Snow Leopard) and is free to download.

    Air ordain is only the most recent application in Avatron Software’s portfolio, which includes such titles as Air Display, Air Sharing, and Print Sharing.

    Visit the company here to check out full their offerings, or visit the links below to net your dictation on privilege now.

    Download Air ordain for iPhone 4S

    Download Air ordain for Mac OS X (Free)

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