IBM C1000-177 問題練習

Question No : 1
What considerations should be made when evaluating the ethical implications of a business problem? (Choose Three)

• A.Potential for AI to replace human jobs
• B.Environmental impact of AI solutions
• C.Impact on company profit margins
• D.Consequences for user privacy and autonomy
• E.Speed of implementation

答えを確認する

正解:

Question No : 2
Why is logistic regression considered a linear classifier?

• A.Because it is only capable of linear regression tasks
• B.Because it uses a linear decision boundary to separate classes
• C.Because it applies a nonlinear transformation to the input features
• D.Because it computes the decision boundary using a non-linear optimization

答えを確認する

正解:

Question No : 3
Which practice is least effective in configuring environments for training machine learning models?

• A.Using virtual environments to manage dependencies
• B.Using the latest but unstable software versions
• C.Regularly updating libraries to their stable versions
• D.Allocating resources based on model requirements

答えを確認する

正解:

Question No : 4
What are two reasons a data point would be treated as an outlier?

• A.If the value is greater than mean
• B.If the value is greater than median
• C.If the value is greater than standard deviation
• D.If the value is below the upper end of the bottom quartile by more then 1.5 times the interquartile range
• E.If the value is above the lower end of the top quartile by more then 1.5 times the interquartile range

答えを確認する

正解:

Question No : 5
For implementing dimensional reduction, which method would be most effective when dealing with highly nonlinear data?

• A.Linear Discriminant Analysis (LDA)
• B.PCA
• C.t-Distributed Stochastic Neighbor Embedding (t-SNE)
• D.Factor Analysis

答えを確認する

正解:

Question No : 6
How does feature scaling benefit the process of exploratory data analysis?

• A.It changes the underlying data distribution
• B.It makes different variables comparable
• C.It simplifies the database management system
• D.It eliminates the need for data cleaning

答えを確認する

正解:

Question No : 7
Which feature engineering technique can be used to simplify models and improve interpretability?

• A.One-hot encoding categorical variables
• B.Normalizing continuous variables
• C.Removing correlated features
• D.Increasing the number of features

答えを確認する

正解:

Question No : 8
When monitoring models in production, what aspect is crucial for maintaining long-term reliability?

• A.Regularly updating the user interface
• B.Ensuring the model is scalable to handle increased loads
• C.Reducing the number of inputs to the model
• D.Focusing solely on increasing model speed

答えを確認する

正解:

Question No : 9
In assessing progress on the AI Ladder, which aspects should be considered? (Choose Two)

• A.The quality and accessibility of data
• B.The color palette of the user interface
• C.Integration capabilities with existing systems
• D.Branding and marketing strategies

答えを確認する

正解:

Question No : 10
How does IBM Garage Methodology suggest measuring success for an MVP?

• A.By the number of features implemented
• B.Through stakeholder satisfaction and feedback
• C.By comparing the MVP to competitor products
• D.Solely by financial metrics achieved

答えを確認する

正解:

Question No : 11
What is the first step in aligning on user intents for an AI solution?

• A.Prototyping the solution
• B.Identifying key stakeholders
• C.Conducting a market analysis
• D.Documenting technical requirements

答えを確認する

正解:

Question No : 12
What is the primary use of the WHERE clause in an SQL query?

• A.To specify which columns to retrieve
• B.To limit the data that fits certain conditions
• C.To identify the tables involved in the query
• D.To denote the end of the SQL query

答えを確認する

正解:

Question No : 13
How do you assess the feasibility of an AI solution?

• A.By evaluating the available technology and resources
• B.By creating detailed financial models only
• C.By ensuring the project is the top priority of the organization
• D.By hiring external consultants to validate the solution

答えを確認する

正解:

Question No : 14
Which of the following are considered direct effects of an AI solution? (Choose Two)

• A.Enhancements in process efficiency for which the AI was designed
• B.Increased job satisfaction among employees not using the AI directly
• C.Reduction in operational costs due to automation
• D.New market opportunities stemming from the innovation

答えを確認する

正解:

Question No : 15
In the context of classification, what does the term 'overfitting' refer to?

• A.The model performs equally well on the training and test datasets
• B.The model performs poorly on both training and test datasets
• C.The model performs too well on the training dataset but poorly on unseen data
• D.The model requires too much time to train due to large dataset

答えを確認する

正解: