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000-R11 - IBM Anyplace Kiosk Technical Professional V1 - Dump Information

Vendor : IBM
Exam Code : 000-R11
Exam Name : IBM Anyplace Kiosk Technical Professional V1
Questions and Answers : 70 Q & A
Updated On : January 18, 2018
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000-R11 Questions and Answers

000-R11


  1. Line scanner

  2. Symbol 3D mini scanner

  3. Omni directional scanner

  4. Magellan 8500 Scanner Scale

  5. Any handheld scanner connected to a USB port


Answer: A, C


QUESTION: 63

What is the standard warranty period of the IBM Anyplace Kiosk?


  1. 1 year from date of purchase

  2. 3 years from date of purchase

  3. 5 years from date of purchase

  4. 90 days from date of purchase


Answer: A


QUESTION: 64

Which of the following is an optional feature of the IBM Anyplace Kiosk?


  1. Wireless Adapter

  2. 80 GB Hard Disk Drive

  3. Internal CD-ROM Drive

  4. 256 MB of Memory (RAM)


Answer: A


QUESTION: 65

Which three of the following are advantages of infrared touch technology?


  1. No field calibration is required.

  2. It is sealed against spills and dust.


  3. It has a five-year infrared sensor life.

  4. There is less glare as compared to other technologies.

  5. The sealed enclosure allows use in any weather conditions.

  6. The screen is not affected by using sharp objects to touch.


Answer: A, B, D


QUESTION: 66

When can the presence sensor on the IBM Anyplace Kiosk be used?


  1. It is available after the customer touches the screen.

  2. It is always available for use by a customer's software application.

  3. It activates the screen whenever a barcode is scanned.

  4. It activates whenever a person comes within 15 inches of the display.


Answer: B


QUESTION: 67

At what distance is the presence sensor activated on the IBM Anyplace Kiosk?


  1. Up to 15 inches from the display

  2. Up to 26 inches from the display

  3. Up to 5 feet from the display

  4. Up to 8 feet from the display


Answer: C


QUESTION: 68

What is the life expectancy of the touchscreen infrared sensor array?


  1. 5 years

  2. 10 years, field replaceable unit

  3. 15 years

  4. Infinite


QUESTION: 69

What is the maximum amount of memory (RAM) that can be factory installed for the IBM Anyplace Kiosk?


  1. 512 MB

  2. 1 GB

  3. 2 GB

  4. 3 GB


Answer: B


QUESTION: 70

The IBM Retail Store Solutions Web site contains which three of the following?


  1. Knowledgebase

  2. Support Guide

  3. Links to other sales resources

  4. Anyplace Kiosk hardware schematics

  5. Online chat support with second level technicians

  6. Detailed specifications of competitor's products with talking points


Answer: A, B, C


IBM 000-R11 Exam (IBM Anyplace Kiosk Technical Professional V1) Detailed Information

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2 question: 1 The IBM anyplace Kiosk supports which of the following scanners? A. Line scanner B. image 3D mini scanner C. Omni directional scanner D. Magellan 8500 Scanner Scale E. Any handheld scanner related to a USB port reply: A, C question: 2 What are the processor and bus speeds of the IBM anywhere Kiosk? A. 833 MHz, four hundred MHz front facet bus B. 1.0 GHz, 533 MHz entrance side bus C. 1.three GHz, four hundred MHz front facet bus D. 2.0 GHz, 533 MHz front aspect bus answer: C question: 3 what is the typical warranty period of the IBM anywhere Kiosk? A. 1 year from date of buy B. 3 years from date of purchase C. 5 years from date of buy D. ninety days from date of buy reply: a query: four Which of right here describes the I/O connectivity ports that are available on the IBM wherever Kiosk? A. One USB 2.0 port, headphone and microphone ports, one RS-232 port and one ethernet port. B. One powered USB port, headphone and microphone ports, 2 RS-232 ports and one ethernet port. C. Two USB 2.0 ports, headphone and microphone ports, one RS-232 port and one ethernet port. D. Two powered USB ports, headphone and microphone ports, one RS-232 port and one ethernet port. answer: C question: 5 in the adventure that the BIOS turns into corrupt on the IBM wherever Kiosk, what is the relevant action essential to recuperate? A. connect a CD-ROM force and run the BIOS update utility. B. vicinity a provider call with IBM and have a technician replace the device board. C. send the system unit back to IBM with a view to exchange the flash memory that includes the BIOS counsel. D. To restore the fashioned copy, run the BIOS update utility. The equipment will operate at all times the usage of the backup replica of the BIOS. web page 1 of 14

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S ltd made a proft r60 000 for the current 12 months p ltd

S Ltd made a proFt R60 000 for the present year. P Ltd is entitled to R54 000 (ninety%), and the NCI the closing R6 000. The proFt for the year attributable to NCI in the consolidated SPL could be: R5 600 + R6 000 = R11 600.

Vertical groups this can also be represented diagrammatically: P Ltd S Ltd SS Ltd R20 000 R16 000 R four 000 R14 four hundred R 1 600 R60 000 R54 000 R6 000 R11 600 # NCI # This quantity can be disclosed within the SPL as follows: ProFt a±ributable to: owners of the guardian (balancing) Non controlling interests 11 600 Do you see so you might sTll calculate the NCI of R11 600 with out an analysis? 80% 20% ninety% 10% 90% 10% No disclosure = no marks!

Vertical groups P Ltd got its pastime in S Ltd before S Ltd acquired its hobby in SS Ltd. P Ltd S Ltd SS Ltd delivery at the backside OF THE neighborhood! First consolidate SS Ltd into S Ltd, after which consolidate S Ltd into P Ltd. Jan 2011 Jan 2013 S Ltd got the funding in SS Ltd in Jan 2013. SS Ltd hence handiest formed a part of the P Ltd community from 1 Jan 2013. SS Ltd will therefore best be consolidated into the P Ltd neighborhood from 1 Jan 2013. therefore handiest the equity of SS Ltd earned a±er 1 Jan 2013 will be included in the consolidated FS.

Vertical businesses P Ltd got its pastime in S Ltd AFTER S Ltd obtained its activity in SS Ltd. P Ltd S Ltd SS Ltd delivery at the bottom OF THE neighborhood! First consolidate SS Ltd into S Ltd, after which consolidate S Ltd into P Ltd. Jan 2013 Jan 2011 S Ltd acquired the funding in SS Ltd in Jan 2011. youngsters SS Ltd is only ‘linked’ to P Ltd from 1 Jan 2013. SS Ltd will hence most effective be consolidated into the P Ltd neighborhood from 1 Jan 2013. No ‘connec±on’ to P Ltd un±l Jan 2013.

Vertical agencies Lets look at question eight in tutorial letter 103: Cherry Strawberry Blueberry birth on the backside OF THE group!

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Forecasting family automobile possession in South Africa: option models and future trends

Journ al of the S outh Af rican I nstit ution o f Civil E nginee ring • volume forty nine Numbe r 3 Septem ber 20 07 3

ernment, the mannequin has to be relatively

cost-effective to keep and use.

apart from providing the indispensable

inputs to commute technology estimation, a vehicle

possession mannequin needs to deliver helpful

perception into other pertinent strategic trans-

port planning options. top of the line among

these is the deserve to accurately ref lect the

abilities affect on vehicle ownership of inter-

ventions geared toward reducing shuttle demand or

moving mode use, comparable to public transport

improvements and travel demand control-

ment (TDM) type movements. At existing, unfor-

tunately, neither the facts nor the theoretical

expertise is in the neighborhood obtainable to permit inclu-

sion of such capabilities in motor vehicle possession

fashions. The paper considers contemporary facts

on the inf luence of service high-quality on automobile

possession and highlights other contextual

components to be regarded corresponding to boost-

intellectual trajectories. The paper examines

best family motor vehicle possession as hostile to

household motor vehicle use, however implications for

vehicle use are quick ly discussed.

previous car ownership

MODELLING EFFORTS

Ortuzar and Willumsen (2001) document that

historically automobile ownership models

were used for three established purposes,

namely market analysis studies, estimation

of future infrastructure wants and policy-

oriented transportation reviews. These

models have all the time been constrained by way of the

availability of primary facts, and the can charge of

gathering the facts, mentioned as an important con-

straint, resulting in a widened gap between

conception and observe.

Bunch (2000) distinguishes between

static and dynamic motor vehicle ownership models.

Static fashions estimate car population at a

given element in time and the dynamic ones

model automobile transactions over time. generally

static models have lessen facts necessities

than dy namic fashions, hence their familiar-

ity with practitioners. Static vehicle possession

fashions can extra be categorised as both

time sequence fashions or move-sectional mod-

els. Time series models, also known as

extrapolation fashions, are calibrated the usage of

historic information of automobile ownership, under the

assumption that tendencies of the past continue

into the longer term in keeping with a predetermined

time series function (Button et al 1982).

move-sectional models – also referred to

as causal models – are calibrated the usage of

information amassed at a given factor in time and

try to hyperlink car possession to chosen

explanatory variables for which forecasts

can be made. The latest trends

encompass the software of brought up decide on-

ence modelling strategies in automobile proprietor-

ship experiences, as an instance the trying out of the

market viability of low-emission vehicles in

Japan for environmental planning applications

(Zhang et al 2004).

Time sequence fashions assume that time

will also be used as a surrogate variable for fac-

tors affecting automobile ow nership tiers over the

duration below investigation. The archetypal

time series mannequin is within the form of a sigmoid

curve by which car possession is assumed

to observe a standard product consumption

pattern lifecycle, where the use of the prod-

uct ultimately reaches a saturation value at

which the fee of consumption equals the

expense of alternative (Button et al 1982). The

car ownership saturation cost is then used

as an indication of the top of the line demand for

highway infrastructure demand within the analyze

enviornment. Button et al (1982) reported that the

sigmoid curve approach attracted many

critics who believed that, as a result of its self-

pleasurable nature, it became imperative simplest within the

period when the constructing of roads essential to be

normally justified.

for example, the time collection model

of vehicle ownership developed by the imperative

Witwatersrand Regional functions Council

in 1994 (CWRSC 1994) illustrates the dif-

ficulty with previous modelling attempts

in South Africa. vehicle possession saturation

values estimated for each and every population neighborhood

distinct commonly between 830 cars per 1 000

people for whites, 44 cars per 1 000 for

blacks, and different organizations someplace in

between, whereas no theoretical argument

can be forwarded why such discrepan-

cies should exist. Such race-based designa-

tions are also more and more inaccurate, as the

economic boom trajectories of inhabitants

groups are very different from what they

were a decade ago.

move-sectional fashions, on the different

hand, attempt to relate motor vehicle ownership

at once to variables which are postulated to

influence vehicle ow nership. as a result, cross-

sectional models require a more in-depth

figuring out of explanatory variables

aside from time. although, they can be plenty

extra coverage principal, because the variables may

be more comfortably related to levers that govern-

ment has some control over.

Two commonplace analytical strategies used

for automobile possession modelling exist, namely

regression evaluation and category analysis.

Whereas regression analysis formulates a

parametric relationship between an inde-

pendent variable, or a mixture of inde-

pendent variables, and a elegant variable,

class evaluation segments the impartial

variables into diverse classes and calculates

a representative cost for the dependent

variable for each combination of classes.

unlike regression analysis, class evaluation

does not have a typical statistical goodness

of healthy measure and for this reason closeness to the

observed records can't be evaluated, besides the fact that children

statistical tests can be performed to evaluate

the significance of the differences between

alternative class values. additionally,

category analysis doesn't allow extrapola-

tion beyond its calibrated strata. it's, how-

ever, convenient to use and keep in mind, primarily

by using non-technical resolution-makers. Some

different benefits of category evaluation are the

following (Mekk y 1996):

It does not make assumptions in regards to the

form of the response floor

It permits the relationship between the

stylish variable and each stratum of

the unbiased variable to be different

from another stratum

it might probably deal without problems with qualitative records

in addition, calibration of regression fashions

regularly suffers from high collinearity between

lots of the crucial household attributes,

for instance the number of employed per-

sons per family, the variety of residence-

hang members at a driving age, and residence-

dangle salary (Button et al 1982), for cing

the analyst to omit many of these variables.

category evaluation, against this, allows all rel-

evant variables for use to extract maxi-

mum guidance from the facts.

candy (1988) investigated using a

pass-sectional logistic characteristic to estimate

the chance of household vehicle possession

in South Africa for distinctive population

corporations, with earnings because the explanatory

variable. The feature is described by way of the fol-

lowing equation:

(1)

where:

p = probability of family unit vehicle possession

at salary degree I

s = saturation price

a and b are mannequin parameters got

via regression

The model used by means of sweet (1988) has been

correctly calibrated somewhere else in the

world. although, the deserve to specify satura-

tion values is difficult. In South Africa

it could be problematic to derive a single rep-

resentative saturation value on account of

entrenched disparities in the popula-

tion; yet it's more and more problematic, each

technically and politically, to specify a dif-

ferent price for each population neighborhood.

Ortuzar and Willumsen (2001) report

on an development to the fundamental category

analysis model to conquer a few of its

risks equivalent to cells with too few

or no pattern obser vations and the shortcoming

of statistical goodness of healthy measures. In

dissimilar classification evaluation, mobile values

are according to a grand suggest derived from

the total statistics set as well as potential derived

from classes of data sets. The components is

well-nigh in accordance with analysis of variance and

therefore provides a structured process

for determining among choice impartial

variables and option groupings of the

values of each and every independent variable (Mekky

1996). The software of the approach in

South Africa is proposed to be a discipline for

additional analysis.




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