C1000-154 無料問題集「IBM Watson Data Scientist v1」

（A）Aesthetically unpleasing charts

（B）Excessively large file names

（C）Overly detailed documentation

（D）Presence of missing values

（A）Increasing the volume of data collected

（B）Focusing on the data's color scheme

（C）Enhancing the graphical user interface

（D）Analyzing completeness, consistency, and accuracy of data

（A）Understanding the business model in depth

（B）Focusing on the data management strategies

（C）Identifying and understanding the needs and goals of end-users

（D）Determining the technical feasibility exclusively

（A）TP/(FN + TP)

（B）TN/(TN + FP)

（C）TP/(FP + TP)

（D）(TP + TN)/(FN + FP + TN + TP)

（A）Predicting future trends with machine learning models

（B）Using Python APIs for external data

（C）Using SQL to fetch data from a data warehouse

（D）Scraping data from a webpage

（A）The explainability of the model's predictions

（B）The performance of the model on validation data

（C）The color scheme of the model's output visualizations

（D）The complexity of the model

（A）Cloud storage services

（B）Social media feeds

（C）Paper-based records

（D）Proprietary in-memory databases

（A）To increase the number of features in the dataset automatically

（B）To reduce the training time of the model to an absolute minimum

（C）To ensure the model uses all available computational resources

（D）To adjust the model's complexity to improve its performance on unseen data