[2024年11月]更新のC1000-154試験事前練習テスト試験問題と解答IBM Certification学習ガイド
IBM Watson Data Scientist v1認証サンプル解答
質問 # 25
When comparing models to choose the best one, which factor is least likely to be considered?
- A. The explainability of the model's predictions
- B. The performance of the model on validation data
- C. The complexity of the model
- D. The color scheme of the model's output visualizations
正解：D
質問 # 26
Which metric would be most appropriate for evaluating a model in a highly imbalanced classification problem?
- A. F1-score
- B. Precision
- C. Recall
- D. Accuracy
正解：A
質問 # 27
In classification models, which of the following metrics is NOT directly derived from the confusion matrix?
- A. Precision
- B. F1-score
- C. Recall
- D. Mean Absolute Error (MAE)
正解：D
質問 # 28
When anticipating additional data sources that might be relevant, what is a crucial factor to consider?
- A. The graphical interface of the data source
- B. The data source's popularity on social media
- C. The color scheme of the data visualization
- D. The relevance of the data source to the business problem
正解：D
質問 # 29
Which of the following is NOT a type of data source commonly integrated with Cloud Pak for Data?
- A. Social media feeds
- B. Cloud storage services
- C. Proprietary in-memory databases
- D. Paper-based records
正解：D
質問 # 30
Which of the following is a critical first step in understanding a business problem for data science projects?
- A. Deploying the model
- B. Selecting the machine learning algorithm
- C. Choosing the visualization tools
- D. Defining the project scope
正解：D
質問 # 31
In the context of model selection, explainability refers to:
- A. The model's ability to operate without any data.
- B. The complexity of the algorithm used to build the model.
- C. How colorful and visually appealing the model's output is.
- D. The ease with which humans can understand how the model makes decisions.
正解：D
質問 # 32
What is a key advantage of using supervised learning techniques over unsupervised learning techniques?
- A. Supervised learning is more effective for discovering hidden patterns in data without prior labeling.
- B. Supervised learning can work without any labeled data.
- C. Supervised learning algorithms can automatically label data.
- D. Supervised learning is typically used for prediction with known outcomes, providing clear metrics for model performance.
正解：D
質問 # 33
Selecting the right model for a data science project depends on:
- A. The size of the dataset only
- B. The project's budget only
- C. The preference of the data scientist
- D. The type of data and the problem to be solved
正解：D
質問 # 34
Assessing the feasibility of a solution(s) often requires evaluating:
- A. Preferred communication channels of the project manager
- B. Technical feasibility, cost, and time constraints
- C. Market competition only
- D. The color scheme of the user interface
正解：B
質問 # 35
What is the primary purpose of hyperparameter tuning in machine learning models?
- A. To ensure the model uses all available computational resources
- B. To increase the number of features in the dataset automatically
- C. To reduce the training time of the model to an absolute minimum
- D. To adjust the model's complexity to improve its performance on unseen data
正解：D
質問 # 36
Which of the following is NOT a direct benefit of connecting to data sources using Cloud Pak for Data?
- A. Facilitating secure and scalable data connectivity
- B. Enhancing collaboration across data science and IT teams
- C. Streamlining the integration of diverse data sources
- D. Automatically generating insights without data analysis
正解：D
質問 # 37
What is the key difference between batch processing and streaming in data processing?
- A. Batch processing processes data in large blocks at a time, whereas streaming processes data in real- time as it arrives
- B. Batch processing involves real-time data processing, whereas streaming does not process data
- C. Batch processing processes data in large blocks at a time, whereas streaming processes data in real- time as it arrives
- D. Streaming is suitable for large, historical datasets, whereas batch processing is for real-time data analysis
正解：C
質問 # 38
Cloud Pak for Data's integration with Spark allows users to:
- A. Avoid using any form of data processing or analysis
- B. Perform complex computations on small datasets only
- C. Leverage distributed computing for processing large datasets efficiently
- D. Use Spark exclusively for data visualization purposes
正解：C
質問 # 39
Which search algorithm is known for its exhaustive search over a specified parameter space for hyperparameter tuning?
- A. Grid Search
- B. Random Search
- C. Binary Search
- D. Sequential Search
正解：A
質問 # 40
Profiling and visualizing data using Watson tools primarily helps in:
- A. Simplifying the data collection process without analyzing quality
- B. Increasing the quantity of data for analysis
- C. Identifying patterns, outliers, and insights in the data
- D. Creating aesthetically pleasing presentations without regard to data relevance
正解：C
質問 # 41
The process of aligning on user intents for a solution involves:
- A. Determining the technical feasibility exclusively
- B. Identifying and understanding the needs and goals of end-users
- C. Understanding the business model in depth
- D. Focusing on the data management strategies
正解：B
質問 # 42
When deploying models in Watson Machine Learning, what is essential for ensuring the models perform as expected in production?
- A. Limiting access to the model to a few select users
- B. Deployment without any security measures
- C. Continuous monitoring and evaluation of model performance
- D. Using the highest number of resources for every model
正解：C
質問 # 43
Given the Confusion matrix below, which is the formula for specificity?
- A. TP/(FN + TP)
- B. TP/(FP + TP)
- C. (TP + TN)/(FN + FP + TN + TP)
- D. TN/(TN + FP)
正解：D
質問 # 44
In defining a business problem, what is essential to align with the stakeholders?
- A. Project milestones
- B. Business objectives
- C. Data sources
- D. Technical requirements
正解：B
質問 # 45
What is a benefit of creating data pipelines to automate the model lifecycle?
- A. It provides a structured approach to processing, validating, and deploying models
- B. Reduces the need for understanding the underlying data
- C. Encourages a one-size-fits-all approach to model development
- D. It necessitates frequent manual updates and checks
正解：A
質問 # 46
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