CAIP Certnexus Question And Answers

CAIP Certnexus Question And Answers I!ll I!ll I!ll I!ll




Which of the following concepts refers to actionable intelligence?
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Wisdom

Data

Knowledge

Information - ANS>>Knowledge I!lll I!lll




Knowledge is actionable intelligence because it can reveal some action that must be taken.
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You have a dataset of customer information, such as a customer's location, spending habits, product
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reviews, and so forth. While you don't have anything specific to predict, you want to engage in
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customer segmentation so that customers with similarities are considered a unified audience in your
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targeted marketing campaigns. Which type of machine learning outcome is most appropriate for this
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situation?
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Dimensionality reduction I!lll




Classification

Regression

Clustering - ANS>>Clustering I!lll I!lll




Clustering is a type of unsupervised learning that groups together data points with similarities, and is
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therefore an excellent outcome when the goal is customer segmentation.
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Which of the following describes the relationship between a machine learning model and a machine
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learning algorithm?
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A machine learning model represents the input data before it is fed into a machine learning algorithm.
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A machine learning model generates a machine learning algorithm through training.
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A machine learning model is the sum of multiple machine learning algorithms.
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,A machine learning model is created by applying a machine learning algorithm to input data. - ANS>>A
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machine learning model is created by applying a machine learning algorithm to input data.
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The algorithm is a set of rules upon which the model is built. The model uses these rules to estimate
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something about the world through available data. Think of an algorithm as a blueprint or recipe, and
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the model as the finished building when given resources or the finished meal when given ingredients.
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What does it mean for a machine learning model to be "stochastic"? - ANS>>The same input can
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produce different outputs over multiple training sessions.
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Which of the following is a Python tool that provides a frontend environment to the TensorFlow deep
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learning library?
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SciPy

Apache Spark MLlib I!lll I!lll




Keras

PyTorch - ANS>>Keras I!lll I!lll




Keras is a high-level interface into TensorFlow, and is particularly useful for beginners new to deep
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learning.
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SciPy is a component of the Python data science stack that provides mathematical functions, not a
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frontend to TensorFlow.
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PyTorch is a deep learning library that is similar to TensorFlow, but it is not a frontend to TensorFlow.
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Apache Spark MLlib is a framework for machine learning that leverages clustering computing, not a
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frontend to TensorFlow.
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Which of the following cloud services is used as a teaching tool for reinforcement learning?
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AWS DeepRacer I!lll




Cloud AutoML I!lll




Watson OpenScale I!lll




Azure Databricks - ANS>>AWS DeepRacer
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, AWS DeepRacer promotes reinforcement learning to beginners by enabling them to train a toy race
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car.
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Watson OpenScale is an enterprise-grade AI project management platform, not a service that teaches
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reinforcement learning to beginners.
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Cloud AutoML is a managed machine learning service that is beginner friendly, but it doesn't promote
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reinforcement learning in particular.
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Azure Databricks is a managed machine learning and deep learning service, not a service that teaches
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reinforcement learning to beginners.
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Which of the following graphics processing units (GPUs) supports the proprietary Compute Unified
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Device Architecture (CUDA) used in applications like deep learning?
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Intel Xe series I!lll I!lll




ARM Mali series I!lll I!lll




Nvidia GeForce series I!lll I!lll




AMD RX series - ANS>>Nvidia GeForce series
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CUDA is a proprietary Nvidia standard, and is usable by modern GPUs in the GeForce line.
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AMD GPUs do not support CUDA. I!lll I!lll I!lll I!lll I!lll




Attrition bias - ANS>>occurs when participants drop out of a long-term experiment or study
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prejudice, bias - ANS>>a result of training data that is influenced by cultural or other stereotypes
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Which of the following is an example of an inference attack?
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A customer database includes name and address information. An attacker is able to find the address of
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a specific customer just by looking up their name.
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An account database includes user names and cryptographically secured passwords. An attacker finds
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a database on the Internet that matches plaintext passwords with their secured versions, enabling the
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attacker to steal users' credentials.
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