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質問 1：
When deploying models in Watson Machine Learning, what is essential for ensuring the models perform as expected in production?
A. Deployment without any security measures
B. Using the highest number of resources for every model
C. Continuous monitoring and evaluation of model performance
D. Limiting access to the model to a few select users
正解：C
質問 2：
Which method is used for merging records in SPSS Modeler Merge node that allows specifying a requirement to be satisfied in order for the merge to take place?
A. Condition
B. Key
C. Filter
D. Order
正解：A
質問 3：
Which method is used for merging records in SPSS Modeler Merge node that allows specifying a requirement to be satisfied in order for the merge to take place?
A. Condition
B. Key
C. Filter
D. Order
正解：A
質問 4：
Choosing the best model often involves trade-offs.
Which scenario represents such a trade-off?
A. Selecting a model based solely on its execution speed, without regard to accuracy
B. Preferring a model with higher accuracy over one that is slightly less accurate but much more interpretable
C. Choosing the model with the largest number of features, regardless of performance
D. Opting for the most complex model to ensure ease of use
正解：B
質問 5：
To add data assets from the catalog to a project in Cloud Pak for Data, which step is essential?
A. Assessing the compatibility of data formats
B. Browsing data assets based solely on their names
C. Selecting random data sets for variety
D. Maximizing the volume of data regardless of relevance
正解：A
質問 6：
Which statement describes bagging?
A. Building models in parallel and aggregating their predictions to select the final prediction.
B. Building models sequentially and evaluating the success of earlier models. It combines a set of weak learners into a strong learner.
C. Building models with artificial neural networks based on the sharedweight architecture of the convolution kernels or filters.
D. Building models and using their output as features into a final model.
正解：A
質問 7：
Which analytic technique is NOT typically used to address business requirements?
A. Clustering
B. Proofreading
C. Regression analysis
D. Decision trees
正解：B
質問 8：
Given the Confusion matrix below, which is the formula for specificity?
A. TP/(FP + TP)
B. TP/(FN + TP)
C. TN/(TN + FP)
D. (TP + TN)/(FN + FP + TN + TP)
正解：C
When deploying models in Watson Machine Learning, what is essential for ensuring the models perform as expected in production?
A. Deployment without any security measures
B. Using the highest number of resources for every model
C. Continuous monitoring and evaluation of model performance
D. Limiting access to the model to a few select users
正解：C
質問 2：
Which method is used for merging records in SPSS Modeler Merge node that allows specifying a requirement to be satisfied in order for the merge to take place?
A. Condition
B. Key
C. Filter
D. Order
正解：A
質問 3：
Which method is used for merging records in SPSS Modeler Merge node that allows specifying a requirement to be satisfied in order for the merge to take place?
A. Condition
B. Key
C. Filter
D. Order
正解：A
質問 4：
Choosing the best model often involves trade-offs.
Which scenario represents such a trade-off?
A. Selecting a model based solely on its execution speed, without regard to accuracy
B. Preferring a model with higher accuracy over one that is slightly less accurate but much more interpretable
C. Choosing the model with the largest number of features, regardless of performance
D. Opting for the most complex model to ensure ease of use
正解：B
質問 5：
To add data assets from the catalog to a project in Cloud Pak for Data, which step is essential?
A. Assessing the compatibility of data formats
B. Browsing data assets based solely on their names
C. Selecting random data sets for variety
D. Maximizing the volume of data regardless of relevance
正解：A
質問 6：
Which statement describes bagging?
A. Building models in parallel and aggregating their predictions to select the final prediction.
B. Building models sequentially and evaluating the success of earlier models. It combines a set of weak learners into a strong learner.
C. Building models with artificial neural networks based on the sharedweight architecture of the convolution kernels or filters.
D. Building models and using their output as features into a final model.
正解：A
質問 7：
Which analytic technique is NOT typically used to address business requirements?
A. Clustering
B. Proofreading
C. Regression analysis
D. Decision trees
正解：B
質問 8：
Given the Confusion matrix below, which is the formula for specificity?
A. TP/(FP + TP)
B. TP/(FN + TP)
C. TN/(TN + FP)
D. (TP + TN)/(FN + FP + TN + TP)
正解：C
大*忍 -
C1000-154問題集を利用したため、無事にC1000-154試験に合格しました。皆さんにこの問題集をお勧めます。是非使ってください！