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Infosys Certified Advanced Natural Language Processing Professional

Practice with real exam-pattern questions for Infosys Certified Advanced Natural Language Processing Professional. Each question includes a detailed explanation to help you understand the concept, not just memorise the answer. Try 10 questions free — no login required.

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10 Infosys Certified Advanced Natural Language Processing Professional practice questions with answers

Real Lex exam-pattern multiple-choice questions for the Infosys Certified Advanced Natural Language Processing Professional certification. Each question includes the correct answer. The full question bank is available to Premium members.

  1. Question 1

    Which conceptual technology in transformers is responsible for its extraordinary performance?

    • Seq-2-Seq learning

      Correct
    • B

      Encoder-Decoder archtecture

    • C

      Attention

    • D

      Positional Encoding

  2. Question 2

    A 2 layer neural network to convert text into numerical format by vectorizing the words of input text

    • CountVectorizer

      Correct
    • B

      TFIDF

    • C

      Word2Vec

    • D

      Lemmatizer

  3. Question 3

    What type of ambiguity exists in the word sequence “Time flies”?

    • Syntactic

      Correct
    • B

      Semantic

    • C

      Phonological

    • D

      Anaphoric

  4. Question 4

    Which of the following statements is true with respect to GRU?

    • Units with short-term dependencies have reset gate very active.

      Correct
    • B

      Units with long-term dependencies have update gate very active

    • C

      Units with short-term dependencies have update gate very active

    • D

      A&B

    • E

      A&C

  5. Question 5

    Machine Transalation is that converts

    • Human Language to Machine Language

      Correct
    • B

      One Human language to another

    • C

      Any Human languate to English

    • D

      Machine Language to Human Language

  6. Question 6

    Which of the following gates does GRU have?

    • Forget gate

      Correct
    • B

      Reset gate

    • C

      Update gate

    • D

      Input Gate

  7. Question 7

    Which of the following are the modern NLP algorithms?

    • Rule based algorithms

      Correct
    • B

      Statistical Approach

    • C

      Machine Learning

    • D

      Deep Learning

  8. Question 8

    Predict the topic of below headline using topic modeling technique: "My order hasn’t arrived yet"

    • Billing Issues

      Correct
    • B

      Shipping Issues

    • C

      Account Issues

    • D

      Quality Issues

  9. Question 9

    The Bag of Words model receives___________ as input

    • An array

      Correct
    • B

      It is scaler

    • C

      Vectors of numbers

    • D

      Matrix

  10. Question 10

    The difference(s) between generative models and discriminative models include(s)

    • Discriminative models capture the joint distribution between features and class labels

      Correct
    • B

      Generative models assume conditional independence among features

    • C

      Generative models can effectively explore unlabeled data

    • D

      Discriminative models provide more flexibility in introducing features.

    • E

      A&B

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