IBM C1000-154 Actual Free Exam Questions & Community Discussion

Exam Code/Number: C1000-154
Exam Name/Title: IBM Watson Data Scientist v1
Certification Provider: IBM
Corresponding Certification: IBM Certification

Exam Questions: 82
Updated On: Jun 03, 2026

Question #37

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

A. It is unable to handle discrete parameters

B. It requires no prior knowledge of the hyperparameters

C. It can be computationally expensive and time-consuming due to its exhaustive nature

D. It is too quick and may miss out on evaluating some hyperparameters

Discussion 0

Correct Answer: C Vote an answer

Question #38

What is a benefit of creating data pipelines to automate the model lifecycle?

A. Reduces the need for understanding the underlying data

B. It necessitates frequent manual updates and checks

C. It provides a structured approach to processing, validating, and deploying models

D. Encourages a one-size-fits-all approach to model development

Discussion 0

Correct Answer: C Vote an answer

Question #39

Which statistical method reduces the number of attributes by lumping highly correlated attributes together?

A. Principal Component Analysis (PCA)

B. Binning

C. Synthetic Minority Over-sampling Technique (SMOTE)

D. Long Short Term Memory Network (LSTM)

Discussion 0

Correct Answer: A Vote an answer

Question #40

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

A. Precision

B. Recall

C. Accuracy

D. F1-score

Discussion 0

Correct Answer: D Vote an answer

Question #41

When would you use AutoAI to select algorithms for your model?

A. When you have a deep understanding of all available algorithms and want to manually tune hyperparameters.

B. When the model requirements are extremely specific and no standard algorithm fits.

C. Only when working with small datasets due to processing limitations.

D. When you want to automatically explore multiple algorithms and hyperparameters to find the best model.

Discussion 0

Correct Answer: D Vote an answer

Question #42

Which Python library is commonly used for data manipulation and analysis, and is available in Cloud Pak for Data?

A. Pandas

B. PyTorch

C. TensorFlow

D. Keras

Discussion 0

Correct Answer: A Vote an answer

Question #43

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

A. To increase the computational efficiency of model training

B. To ensure that the model gets exposed to all possible data scenarios during training

C. To maximize the accuracy of the model by using all data for training

D. To evaluate the model's performance on unseen data

Discussion 0

Correct Answer: D Vote an answer

Question #44

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

A. Choose the newest tools on the market for the most up-to-date features.

B. Consider the tool's compatibility with the algorithm requirements and the team's expertise.

C. Always use the most complex tool to ensure the model's accuracy.

D. Select tools that the team is already familiar with, even if they are not the best fit for the algorithm.

Discussion 0

Correct Answer: B Vote an answer

Question #45

When anticipating additional data sources that might be relevant, what is a crucial factor to consider?

A. The relevance of the data source to the business problem

B. The color scheme of the data visualization

C. The data source's popularity on social media

D. The graphical interface of the data source

Discussion 0

Correct Answer: A Vote an answer

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