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OCI AI Cert COMPUTER SCIENCE EXAM LATEST EDITION 2024/2025 SOLUTION GUARANTEED GRADE A+ $11.79
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OCI AI Cert COMPUTER SCIENCE EXAM LATEST EDITION 2024/2025 SOLUTION GUARANTEED GRADE A+
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Which Deep Learning model is well-suited for processing sequential data, such as sentences? a. Recurrent Neural Network (RNN) b. Convolutional Neural Network (CNN) c. Variational Autoencoder (VAE) d. Generative Adversarial Network (GAN) a. Recurrent Neural Network (RNN) What is the primary pu...

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  • September 23, 2024
  • 8
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers

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  • oci ai cert
  • which deep learning model is well suited for proce
  • what is the primary purpose of convolutional neura
  • as an it manager for your company you are respons
  • how does oracle cloud infrastructure

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OCI AI Cert COMPUTER SCIENCE EXAM
LATEST EDITION 2024/2025 SOLUTION
GUARANTEED GRADE A+
Which Deep Learning model is well-suited for processing sequential
data, such as sentences?
a. Recurrent Neural Network (RNN)
b. Convolutional Neural Network (CNN)
c. Variational Autoencoder (VAE)
d. Generative Adversarial Network (GAN)
a. Recurrent Neural Network (RNN)
What is the primary purpose of Convolutional Neural Networks (CNNs)?
a. Generating images
b. Creating Music compositions
c. Processing sequential data
d. Detecting patterns in images
d. Detecting patterns in images
As an IT manager for your company, you are responsible for migrating
your company's image and video analysis workloads to Oracle Cloud
Infrastructure (OCI). Your team is particularly interested in a cloud
service that offers advanced computer vision capabilities, including
customer model training. Which OCI service would you consider for
this purpose?
a. OCI Speech
b. OCI Vision
c. OCI Language
d. OCI Document Understanding
b. OCI Vision
How does Oracle Cloud Infrastructure Anomaly Detection service
contribute to fraud detection?
a. By analyzing text sentiment
b. By identifying abnormal patterns in data
c. By generating spoken language from text
d. By transcribing spoken language
b. By identifying abnormal patterns in data
Which capability is supported by Oracle Cloud Infrastructure Language
service?
a. Converting text into images
b. Detecting objects and scenes in images
c. Translating speech into text

, d. Analyzing text to extract structured information like sentiment
and entities
d. Analyzing text to extract structured information like sentiment
and entities
How can Oracle Cloud Infrastructure Document Understanding service be
applied in business processes?
a. By automating data extraction from documents
b. By analyzing text sentiment
c. By transcribing spoken language
d. By generating lifelike speech from text
a. By automating data extraction from documents
Which capability is supported by the Oracle Cloud Infrastructure
Vision service?
a. Detecting and classifying objects in images
b. Detecting and preventing fraud in financial transactions
c. Generating realistic images from text
d. Analyzing historical data for unusual patterns
a. Detecting and classifying objects in images
What is the primary function of Oracle Cloud Infrastructure Speech
service?
a. Transcribing spoken language into written language
b. Converting text to images
c. Analyzing sentiment in text
d. Recognizing objects in images
a. Transcribing spoken language into written language
Which is an application of Generative Adversarial Networks (GANs) in
context of Generative AI?
a. Generation of labeled outputs for training
b. Creation of realistic images that resemble training data
c. Prediction of continuous values from input data
d. Classification of data points into categories
b. Creation of realistic images that resemble training data
How is Generative AI different from other AI approaches?
a. Generative AI focuses on decision-making and optimization
b. Generative AI generates labeled outputs for training
c. Generative AI is used exclusively for text-based applications
d. Generative AI understands underlying data and creates new examples
d. Generative AI understands underlying data and creates new examples
What is the purpose of Attention Mechanism in Transformer
architecture?
a. Weigh the importance of different words within a sequence and
understand the context
b. Apply a specific function to each word individually
c. Convert tokens into numerical forms (vectors) that the model can

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