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This may have been an overly ambitious chapter, but I think it was necessary Sales and marketing, at this point, necessarily need alignment and at some point might even be integrated We ll cross that bridge when we come to it But there is one other traditional pillar of CRM that we have to look at Perhaps more than any other, it is undergoing the most dramatic, if not the biggest transformation and has the most viral implications That is customer service and, after you catch your breath, we ll head over to the customer service department

The malloc_debug command has many additional options than are described here. For more information, see the command s man page.

A and C are correct MCA requires more effort in the site survey due to complex cell sizing MCA may require more ongoing maintenance due to environmental changes B and D are incorrect Shorter survey times is a benefit of SCA MCA does not require overengineering but is actually more precise than SCA

n 2006, Vincent Ferrari had an agonizing exchange with an AOL representative when he attempted to cancel the account He taped it and it went viral The employee was fired In 2007, Sprint fired 1,000 customers because they were unprofitable It was later discovered by intrepid web reporters that 200 of those customers were deployed military in Iraq and Afghanistan so they were in areas where roaming had to go on Sprint was embarrassed and the accounts reinstated, as were many of the other 800, who were cut off due to excessive calls about Sprint s billing mistakes In 2009, when I go to clients and begin to examine their customer service models, I almost always hear from them that they already have great customer service representatives This is true to some extent There are some customer service representatives whom the customers love and, even more germane, trust Do you see what these stories all have in common Each of them demonstrates an immediate fix firing employees or reinstating customers or relying on individually excellent customer service representatives but none of them deals with or even considers the actual issue How do you institutionalize the kinds of practices, processes, and engagement models for customer service that will prevent the problem from happening ever again Keyword once again: institutionalize This is not a trivial issue Engaging customers to get reciprocal value because they re happy with you is one thing Dealing with those same engaged customers at their most upset is quite another What makes it worse than just going head to head with someone who s ready to smack you upside that head is that in our lovely, connected, peer-trusting world, that attempt can

spiral out of control a lot faster than you can ever imagine and you ll end up smacked by thousands of people, including many you can t afford to be smacked by That said, great resolutions to customer service problems can turn passionate detractors into ardent advocates when done well and consistently Emily Yellin, in her superb 2009 book on customer service, Your Call Is (not that) Important to Us, quotes Bob Garfield, Advertising Age columnist: Now we can aggregate to have our voices heard and to put pressure on these people Customer service and customer relations management is going to be so critical to all corporate futures It s going to be all about cultivating, exploiting and collaborating with consumers And you can t do that if they hate you I couldn t have said it better, so I didn t

4 Which of the following are potentially positive aspects of MCA implementations (Choose two) A Greater control for the engineer B Shorter site survey times C Less overengineering D Improved security

The sample command acquires performance statistics for the specified application by sampling its execution at an interval specified by the user. It gathers data the same way as the GUI Sampler application, covered in section 4.5.16. The command takes three arguments: the pid of the process to monitor, how long the command should sample the program (in seconds), and the sampling rate (in milliseconds). For example, the following command collects performance statistics for the SampleExample program: