EMT Practice Test

1. Question Content...

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Question1: Which two packages can be used to customize the software configuration of a Jupyter notebook environment in Cloud Pak for Data?

Question2: Which of the following is NOT a type of data source commonly integrated with Cloud Pak for Data?

Question3: In the context of model selection, explainability refers to:

Question4: A model's performance is not solely dependent on its accuracy but also on:

Question5: Assessing the feasibility of a solution(s) often requires evaluating:

Question6: Which of the following is a critical first step in understanding a business problem for data science projects?

Question7: In classification models, which of the following metrics is NOT directly derived from the confusion matrix?

Question8: In the context of avoiding underfitting and overfitting, what role does splitting the data into training, testing, and validation sets play?

Question9: In the context of building models, why is it important to select a tool based on algorithm requirements and expertise?

Question10: How do you determine which tool to use based on algorithm requirements and expertise?

Question11: What is the primary purpose of partitioning data into training and test sets?

Question12: Which two graph types are used in EDA to show the relationship between two or more quantitative variables?

Question13: Key metrics for a solution should be defined based on:

Question14: Which search algorithm is known for its exhaustive search over a specified parameter space for hyperparameter tuning?

Question15: An E-retailer uses several important data sources, including web logs which contain all of the information on how customers navigate the web site. There are non-informative entries in the web logs that need to be removed.
During which phase should these non-informative entries be removed in the CRISP-DM model?

Question16: What is a key advantage of using supervised learning techniques over unsupervised learning techniques?

Question17: Which of the following is true regarding cross-validation?

Question18: In unsupervised learning, which algorithm is best suited for grouping customers based on their purchase history to target marketing efforts more effectively?

Question19: Choosing the best model often involves trade-offs.
Which scenario represents such a trade-off?

Question20: Given the Confusion matrix below, which is the formula for specificity?

Question21: Which of the following best describes when to use deep learning over traditional machine learning algorithms?

Question22: In model lifecycle management, what is a key consideration when deploying models with Watson Machine Learning?

Question23: Which type of machine learning algorithm would be most appropriate for predicting house prices based on various features like location, size, and number of bedrooms?

Question24: What is the primary purpose of hyperparameter tuning in machine learning models?

Question25: What is a key disadvantage of using Grid Search for hyperparameter tuning?

Question26: Which hyperparameter is NOT commonly adjusted in a deep learning model?

Question27: An essential aspect of the ETL (Extract, Transform, Load) process is:

Question28: In the case of imbalanced data, what technique is recommended to ensure that the train and test sets have similar distributions of the target variable?

Question29: Which of the following is true about the AUC measure in the context of classification models?

Question30: The first step in performing exploratory data analysis (EDA) typically involves:

Question31: In Cognos Analytics, which two features distinguish stories from dashboards?

Question32: What does the term "complexity" in model comparison refer to?

Question33: What is data leakage in the context of model training?

Question34: When helping businesses articulate and define problems, what is an essential first step?

Question35: Which metric would be most appropriate for evaluating a model in a highly imbalanced classification problem?

Question36: The ROC curve is a graphical representation that shows the performance of a classification model at all classification thresholds.
What does ROC stand for?

Question37: Understanding how to use libraries in Python within a deployment environment is essential for:

Question38: Selecting the right model for a data science project depends on:

Question39: In the deployment phase, why is it important to know the different data sources available in Cloud Pak for Data?

Question40: In the context of IBM Garage Methodology, which of the following best describes the "Enterprise Design Thinking" stage?