b)*
<p>v)
<br />g)<IP></p>
<br /><h5> <span><span>30) HTML da abzats ajratish qaysi diskriptor orqali belgilanadi</span></span></h5>
<br />a)
<br />b)
<br />* v) <IP> g) <TITLE>
<p>31)Tvitter fikr almashish uchun mo‘ljallangan blogni ayting?</p>
<p>a) kichkina blog* b) katta blog
</p>
<p>v) o‘ta katta blog g) juda kichik blog </p>
<p>32) Vidеo so‘zi qanday ma’nosini anglatadi?
</p>
<p>a) ko‘ryapman, qarayapman* b) eshitaman </p>
<p>v) joy, joylashish g) darvoza
</p>
<p>33) Tarmoq ishini ta’minlovchi maxsus kompyuterga nima deyiladi?</p>
<p>a) server* b) modem
</p>
<p>v) konsentrator (hub) g) ko‘prik</p>
<p>34) Shisha tolali kabellarni necha turi mavjud?
</p>
<p>a) 2 turi, ko‘p va bir modli* </p>
<p>b) 2 turi, ingichka va yo‘g‘on
</p>
<p>v) 1 turi, faqat ko‘p modli</p>
<p>g) 1 turi, faqat ingichka
</p>
<p>35) Koaksial va o‘ralgan juftlik asosidagi kabellar– bu axborotni uzatish uchun qanday signallardan foydalaniladi?<sup> </sup> </p>
<p>a) elektr signal b)elektromagnit to‘lqin
</p>
<p>v)infraqizil nurlanish g) raqamli signal</p>
<p>36) Koaksial kabellarni necha turi mavjud?
</p>
<p>a) 2 turi, ingichka va yo‘g‘on* </p>
<p>b) 1 turi, faqat ingichka
</p>
<p>v) 1 turi, faqat <sup> </sup>yo‘g‘on</p>
<p>g) 2 turi, ko‘p va bir modli
<br /></div> <div id="Section19" dir="ltr" gutter="47" >
<br /><b>18-variant</b>
<br />1) Biror masalani yechish uchun bajarilishi lozim bo‘lgan buyruqlarning tartiblangan ketma-ketligiga nima deb ataladi?
</p>
<p>a) algoritm ijrochisi </p>
<p>b) ijrochining ko‘rsatmalar sistemasi.
</p>
<p>v) algoritm<sup>*</sup> </p>
<p>g) takrorlanuvchi algoritm
</p>
<p>2) Algoritmning qanday xossalari bor?</p>
<p>a) uzliksizlik, aniqlilik, tushunarlilik,
</p>
<p>ommaviylik </p>
<p>b) natijaviylik, aniqlilik, ommaviylik
</p>
<p>v) uzliksizlik, aniqlilik, tushunarlilik, </p>
<p>natijaviylik, ommaviylik<sup>*</sup>
</p>
<p>g) natijaviylik, ommaviylik, uzliksizlik </p>
<p>3) Dasturlash tillari yaratilishi bo‘yicha qanday guruhlarga bo‘linadi?
</p>
<p>a) kompyuterlarning tiplariga mos guruhlar </p>
<p>b) quyi, o‘rta, yuqori darajadagi dasturlash
</p>
<p>tillari <sup>*</sup></p>
<p>v) EHMlarning xotira sig‘imiga bog‘liq
</p>
<p>guruhlar </p>
<p>g) beysik, fortran, assembler va madlen
</p>
<p>tillari
<br /></p>
<br />4) Interpretator- bu?
<p>a) biror masalani yechish uchun kompyuter </p>
<p>bajarishi mumkin bo‘lgan
</p>
<p>ko‘rsatmalarning izchil tartibi</p>
<p>b) algoritmik tilda yozilgan dasturni
</p>
<p>ko‘rsatmalar ketma-ketligiga mashina </p>
<p>kodiga aylantiradi.
</p>
<p>v) dasturlash tilidagi dasturni mashina </p>
<p>kodidagi dasturga aylantirib beradi
</p>
<p>g) yuqori darajadagi dasturlash tilida </p>
<p>yozilgan dasturning bevosita
</p>
<p>bajarilishini ham ta’minlaydi.<sup>*</sup></p>
<p>5) Paskal tili qaysi olim tarafidan o‘ylab topilgan?
</p>
<p>a) 1969 yil, Niklas Virt <sup>*</sup> </p>
<p>b) 1964 yil, Djon Kemeni va Tomas Kurts
</p>
<p>v) 1959 yil, Jon fon Neyman </p>
<p>g) 1971 yil, Kim Xorris
</p>
<p>6) Operator nima?</p>
<p>a) o‘z nomiga ega bo‘lgan alohida dastur
</p>
<p>qism (blok)lari </p>
<p>b) dasturda boshqarish uzatilayotgan
</p>
<p>operatopni ko‘rsatadi </p>
<p>v) dasturlash tilining biror tugallangan
</p>
<p>amalni berish uchun mo‘ljallangan </p>
<p>buyrug‘i<sup>*</sup>
</p>
<p>g) paskalning buyruq va ko‘rsatmalari</p>
<p>7) Integer turidagi ma’lumotlar qanday ma’lumot?
</p>
<p>a) butun sonli ma’lumot<sup>*</sup> </p>
<p>b) haqiqiy ma’lumotlar
</p>
<p>v) belgilar satri </p>
<p>g) mantiqiy tur
</p>
<p>8) O‘zgaruvchi paskal dasturda qanday bayon etiladi?</p>
<p>a) laben maxsus so‘z yordamida
</p>
<p>b) begin maxsus so‘z yordamida </p>
<p>v) const maxsus so‘z yordamida
</p>
<p>g) var maxsus so‘z yordamida<sup>*</sup></p>
<p>9) X ning toq yoki juftligini aniqlash paskalda qanday yoziladi?
</p>
<p>a) chr (x) b) ord (x) </p>
<p>v) succ(x) g) odd(x) <sup>*</sup>
</p>
<p>10) sqr(sqr(a)) paskal dasturlash tilida yozilgan ifodani matematik ko‘rinishini yozing? </p>
<br />
<br />a) <img src="data:image/png;base64,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" name="Object2" align="absmiddle" width="27" height="22">
<p>v) a<sup>4</sup> <sup>*</sup> g) a*a*a*a</p>
<br />
<br />11) <img 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" name="Object3" align="absmiddle" width="107" height="38"> ifodani C ++ da yozing?
<p>a) 0.5*(sin x +sos x) </p>
<p>b) 0.5*sin(x)+sos(x)
</p>
<p>v) 0.5*(sin(x)+sos(x)) <sup>*</sup> </p>
<p>g) 0.5(sin(x)+sos(x))
</p>
<p>12) a ni b ga bo‘lib qoldig‘ini olish?</p>
<p>a) succ(x) b) a mod b<sup>*</sup>
</p>
<p>v) a div b g) pred(x) </p>
<p>13) x dan oldingi qiymatni olish?
</p>
<p>a) chr(x) b) odd(x) </p>
<p>v) pred (x)<sup>*</sup> g) ord (x)
</p>
<p>14) Turbo Paskalda qanday mantiqiy amallar bor?</p>
<p>a) not, and b) not, and, or, xor<sup>*</sup>
</p>
<p>v) and, or, xor g) not, and, or </p>
<p>15) Turbo Paskalda o‘zgarmaslarga nimalar kiradi?
</p>
<p>a) butun, haqiqiy, o‘n oltilik sonlar </p>
<p>b) mantiqiy o‘zgarmaslar, belgilar,
</p>
<p>belgilar satri, </p>
<p>v) to‘plam konstruktorlari, noaniq NIL
</p>
<p>ko‘rsatkichi nishoni </p>
<p>g) barcha javoblar to‘g‘ri.<sup>*</sup>
</p>
<p>16) Paskal tilida mantiqiy tip qanday standart nom bilan aniqlanadi?</p>
<p>a) false b) true v) boolean<sup>* </sup> g) not, and
</p>
<p>17) O‘ngga siljish amalini ko‘rsating?</p>
<p> a) @ b) shl v) shr<sup>*</sup> g) in
</p>
<p>18) To‘plamga tegishlilik amalini ko‘rsating?</p>
<p>a) @ b) shl v) shr g) in<sup>*</sup>
</p>
<p>19) Turbo Paskalda ma’lumotning oddiy turlarga qanday turlar kiradi?</p>
<p>a) tartibli tur b) haqiqiy tur
</p>
<p>v) standart turlari g) a va b<sup>*</sup> </p>
<p>20) Tartibli turlarga qanday funksiyalarni qo‘llash mumkin?
</p>
<p>a) Pred(x) b) ORD(x) </p>
<p>v) Succ(x) g) a,b va v<sup>*</sup>
</p>
<p>21) Dasturni o‘zgaruvchilarning turli qiymatlarida bajarish uchun qanday operator mo‘ljallangan? </p>
<p>a) WRITE b) READ <sup>* </sup>
</p>
<p>v) REAL g) REPEAT </p>
<p>22) WRITE operatorining vazifasi?
<br /><ol> <li/>
<br />EHM xotirasidagi ma’lumotlarni display ekraniga chiqarish uchun.<sup>*</sup>
<br /></ol>
<br />b) dasturni o‘zgaruvchilarning turli
</p>
<p>qiymatlarida bajarish uchun</p>
<p>v) kiritish jarayonida bo‘sh qator
</p>
<p>qoldirish uchun</p>
<p>g) barcha javoblar to‘g‘ri.
</p>
<p>23) Kiritish operatori qanday ko‘rinishda ishlatiladi?</p>
<p>a) REPEAT <sikl_tanasi> UNTIL <shart>
</p>
<p>b) WHILE <shart> DO <operator></p>
<p>v) RЕAD(a<sub>1</sub>,a<sub>2</sub>,...,a<sub>n</sub>);<sup>*</sup>
</p>
<p>g) WRITE (a<sub>1</sub>,a<sub>2</sub>,...,a<sub>n</sub>);</p>
<p>24) EHM xotirasidagi ma’lumotlarni display ekraniga chiqarish operatori qanday ko‘rinishda ishlatiladi?
</p>
<p>a) REPEAT <sikl_tanasi> UNTIL <shart></p>
<p>b) WHILE <shart> DO <operator>
</p>
<p>v) RЕAD(a<sub>1</sub>,a<sub>2</sub>,...,a<sub>n</sub>);</p>
<p>g) WRITE (a<sub>1</sub>,a<sub>2</sub>,...,a<sub>n</sub>); <sup>*</sup>
</p>
<p>2 5) RЕADLN vazifasi?</p>
<p>a) displеy ekranida yangi satrga o‘tishni
</p>
<p>ta’minlaydi.</p>
<p>b) kiritish jarayonila bo‘sh qator qoldiradi.<sup>*</sup>
</p>
<p>v) o‘zgaruvchilarga qiymatlar turiga mos </p>
<p>ravishda klaviaturadan kiritiladi.
</p>
<p>g) a va b javoblar to‘g‘ri.</p>
<p>26) ….. – bu bir xil tipli, chekli qiymatlarning tartiblangan to‘plamidir.
</p>
<p>a) massiv<sup> *</sup> b) yozuv v) to‘plam g) fayl</p>
<p>27) Massiv turi qanday ko‘rinishda bayon qilinadi?
</p>
<p>a) <tur ismi> = ARRAY [<ind.tur.ro‘yx.>]</p>
<p>b) ARRAY [<ind.tur.ro‘yx.>] OF <tur>
</p>
<p>v) <tur ismi> = ARRAY [<ind.tur.ro‘yx.>] </p>
<p>OF <tur><sup>*</sup>
</p>
<p>g) <tur ismi> ARRAY [<ind.tur.ro‘yx.>] OF </p>
<p>28) Turbo Paskalda yozuvlar turini e’lon qilishda qanday rezerv so‘zlardan foydalaniladi?
</p>
<p>a) RECORD<sup>* </sup> b) set of </p>
<p>v) WITH g) ARRAY
</p>
<p>29) Yozuvlar turini e’lon qilishda qanday operator ishlatiladi?</p>
<p>a)<sup> </sup><tur ismi> = ARRAY [<ind.tur.ro‘yx.>]
</p>
<p>OF <tur>
<br /></p>
<br />b) <turnomi> RECORD <maydonlar
<p>ro‘yxati> END</p>
<p>v) <turnomi> = RECORD <maydonlar
</p>
<p>ro‘yxati> END,<sup>*</sup></p>
<p>g) <tur ismi> = set of <baz.turi>
</p>
<p>30) Yozuv maydonlari bilan ishlashni yengillashtirish uchun qo‘shilish operatori qanday ko‘rinishda ishlatiladi?</p>
<p>a)<sup> </sup>WITH <o‘zgaruvchi> DO <operator><sup>*</sup>
</p>
<p>b) WITH <o‘zgaruvchi> DO </p>
<p>v) <turnomi> = RECORD <maydonlar
</p>
<p>ro‘yxati> END</p>
<p>g) <tur ismi> = set of <baz.turi>
</p>
<p>31) ……. - bir turli bir-biri bilan mantiqan bog‘liq obyektlar birlashmasidir.</p>
<p>a) massiv<sup>*</sup> b) yozuv
</p>
<p>v) to‘plam<sup>* </sup>g) fayl</p>
<p>32) Paskal tilida yozilgan harflardan tuzilgan to‘plamni aniqlang?
</p>
<p>a) [ a, b, d] b) [ ′a′,′b′, ′d′] <sup>* </sup></p>
<p>v) [1,2,3,4,5] g) [oq, qora, sariq]
</p>
<p>33) To‘plam elementlari qanday tipli ma’lumotlarni qabul qilmasligi mumkin?</p>
<p>a) integer b) char v) real<sup>*</sup> g) boolean.
</p>
<p>34) Assign protsedurasining vazifasi? </p>
<p>a) faylli o‘zgaruvchiga tashqi fayl
</p>
<p>ismini o‘zlashtiradi.<sup>*</sup></p>
<p>b) ochiq faylni yopadi.
</p>
<p>v) yangi faylni yaratadi va ochadi.</p>
<p>g) fayl hadini o‘zgaruvchiga o‘qiydi.
</p>
<p>35) Rewrite protsedurasining vazifasi? </p>
<p>a) faylli o‘zgaruvchiga tashqi fayl
</p>
<p>ismini o‘zlashtiradi.</p>
<p>b) ochiq faylni yopadi.
</p>
<p>v) yangi faylni yaratadi va ochadi.<sup>*</sup></p>
<p>g) fayl hadini o‘zgaruvchiga o‘qiydi.
</p>
<p>36) Close protsedurasining vazifasi? </p>
<p>a) faylli o‘zgaruvchiga tashqi fayl
</p>
<p>ismini o‘zlashtiradi.</p>
<p>b) ochiq faylni yopadi.<sup>*</sup>
</p>
<p>v) yangi faylni yaratadi va ochadi.</p>
<p>g) fayl hadini o‘zgaruvchiga o‘qiydi.
<br /></div> <div id="Section20" dir="ltr" gutter="47" >
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